{"id":1614,"date":"2021-12-06T17:11:18","date_gmt":"2021-12-06T17:11:18","guid":{"rendered":"https:\/\/www.sas-lab.deib.polimi.it\/?p=1614"},"modified":"2026-09-26T08:04:42","modified_gmt":"2026-09-26T08:04:42","slug":"andrea-bertozzi","status":"publish","type":"post","link":"https:\/\/www.sas-lab.deib.polimi.it\/?p=1614","title":{"rendered":"Andrea Bertozzi"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"1614\" class=\"elementor elementor-1614\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-b2e71e5 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"b2e71e5\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-59856efb\" data-id=\"59856efb\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-f342257 elementor-widget elementor-widget-page-title\" data-id=\"f342257\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"page-title.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\n\t\t<div class=\"hfe-page-title hfe-page-title-wrapper elementor-widget-heading\">\n\n\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/awetrain.eu\/author\/andrea-bertozzi\/\">\n\t\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">\n\t\t\t\t\t\t\t\t\n\t\t\t\tAndrea Bertozzi  \n\t\t\t<\/h2 > \n\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-e6ebd92 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"e6ebd92\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-14797b4\" data-id=\"14797b4\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-e44537b elementor-widget elementor-widget-spacer\" data-id=\"e44537b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-72d01f7 elementor-widget elementor-widget-image\" data-id=\"72d01f7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"800\" height=\"533\" src=\"https:\/\/www.sas-lab.deib.polimi.it\/wp-content\/uploads\/2026\/05\/Foto_conferenza_1-e1778759260144-1024x682.jpg\" class=\"attachment-large size-large wp-image-1615\" alt=\"\" srcset=\"https:\/\/www.sas-lab.deib.polimi.it\/wp-content\/uploads\/2026\/05\/Foto_conferenza_1-e1778759260144-1024x682.jpg 1024w, https:\/\/www.sas-lab.deib.polimi.it\/wp-content\/uploads\/2026\/05\/Foto_conferenza_1-e1778759260144-300x200.jpg 300w, https:\/\/www.sas-lab.deib.polimi.it\/wp-content\/uploads\/2026\/05\/Foto_conferenza_1-e1778759260144-768x512.jpg 768w, https:\/\/www.sas-lab.deib.polimi.it\/wp-content\/uploads\/2026\/05\/Foto_conferenza_1-e1778759260144-18x12.jpg 18w, https:\/\/www.sas-lab.deib.polimi.it\/wp-content\/uploads\/2026\/05\/Foto_conferenza_1-e1778759260144.jpg 1096w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-66 elementor-top-column elementor-element elementor-element-fee7342\" data-id=\"fee7342\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-ae0d1b4 elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"ae0d1b4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"color: #000000;\">Andrea<span style=\"word-spacing: normal;\"> Bertozzi gradua<\/span><span style=\"word-spacing: normal;\">ted in Mechanical Engineering at Delft University of Technology in September 2024 with the thesis \u201cSimulation-based&nbsp;<\/span><span style=\"word-spacing: normal;\">optimal design of floating platforms for offshore Airborne Wind Energy systems\u201d in collaboration with MORE Lab at Politecnico di Torino. From September 2024 to April 2025 he was Junior researcher at MORE Lab. From April 2025 to November 2025 he was at Kitepower as Junior systems engineer. Since December 2025, he has been working on his PhD at SAS-Lab under the supervision of Prof. Lorenzo Fagiano. His PhD project is part of the Marie Sk\u0142odowska-Curie Action <a href=\"http:\/\/www.awetrain.eu\">AWETRAIN<\/a>, and focuses on Fully Autonomous AWE operation over Long Time Horizons.&nbsp;<\/span><\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-1ee346c elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"1ee346c\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-8cc1937\" data-id=\"8cc1937\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-503dbf7 elementor-widget elementor-widget-text-editor\" data-id=\"503dbf7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><b>Journal Publications<\/b><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-6531362 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"6531362\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-inner-column elementor-element elementor-element-4c0cb68\" data-id=\"4c0cb68\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-fac3bd2 elementor-widget elementor-widget-shortcode\" data-id=\"fac3bd2\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"shortcode.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-shortcode\"><div class=\"teachpress_pub_list\"><form name=\"tppublistform\" method=\"get\"><a name=\"tppubs\" id=\"tppubs\"><\/a><div class=\"tp_search_input\"><input type=\"hidden\" name=\"p\" id=\"page_id\" value=\"1614\"\/><input name=\"tsr\" id=\"tp_search_input_field\" type=\"search\" placeholder=\"Enter search word\" value=\"\" tabindex=\"1\"\/><\/div><div class=\"teachpress_filter\"><select class=\"block\" title=\"All years\" name=\"yr\" id=\"yr\" tabindex=\"2\">\r\n                   <option value=\"\">All years<\/option>\r\n                   <option value=\"2026\" >2026<\/option><option value=\"2025\" >2025<\/option><option value=\"2024\" >2024<\/option><option value=\"2023\" >2023<\/option><option value=\"2022\" >2022<\/option><option value=\"2021\" >2021<\/option><option value=\"2020\" >2020<\/option><option value=\"2019\" >2019<\/option><option value=\"2018\" >2018<\/option><option value=\"2017\" >2017<\/option><option value=\"2016\" >2016<\/option><option value=\"2015\" >2015<\/option><option value=\"2014\" >2014<\/option><option value=\"2013\" >2013<\/option><option value=\"2012\" >2012<\/option><option value=\"2011\" >2011<\/option><option value=\"2010\" >2010<\/option><option value=\"2009\" >2009<\/option><option value=\"2008\" >2008<\/option><option value=\"2007\" >2007<\/option><option value=\"2006\" >2006<\/option>\r\n                <\/select><div class=\"teachpress_search_button\"><input name=\"tps_button\" class=\"tp_search_button\" type=\"submit\" tabindex=\"10\" value=\"Search\"\/><\/div><\/div><\/form><div class=\"teachpress_publication_list\"><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_number\">1.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Bertozzi, Andrea;  Paduano, Bruno;  Niosi, Francesco;  Alborghetti, Mattia;  Fagiano, Lorenzo;  Bracco, Giovanni<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('703','tp_links')\" style=\"cursor:pointer;\">Numerical analysis of a floating Airborne Wind Energy farm with a shared-mooring system<\/a> <span class=\"tp_pub_type tp_  article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Applied Ocean Research, <\/span><span class=\"tp_pub_additional_volume\">vol. 174, <\/span><span class=\"tp_pub_additional_pages\">pp. 105215, <\/span><span class=\"tp_pub_additional_year\">2026<\/span>, <span class=\"tp_pub_additional_issn\">ISSN: 0141-1187<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_703\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('703','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_703\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('703','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_703\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('703','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_703\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Bertozzi2026b,<br \/>\r\ntitle = {Numerical analysis of a floating Airborne Wind Energy farm with a shared-mooring system},<br \/>\r\nauthor = {Andrea Bertozzi and Bruno Paduano and Francesco Niosi and Mattia Alborghetti and Lorenzo Fagiano and Giovanni Bracco},<br \/>\r\ndoi = {https:\/\/doi.org\/10.1016\/j.apor.2026.105215},<br \/>\r\nissn = {0141-1187},<br \/>\r\nyear  = {2026},<br \/>\r\ndate = {2026-01-01},<br \/>\r\nurldate = {2026-01-01},<br \/>\r\njournal = {Applied Ocean Research},<br \/>\r\nvolume = {174},<br \/>\r\npages = {105215},<br \/>\r\nabstract = {Airborne wind energy (AWE) has the potential to complement conventional wind power and accelerate the transition to renewable energy. Realizing this potential will require offshore farm-scale deployments, where mooring systems represent a significant share of capital expenditures. Shared-line mooring concepts have been proposed to reduce these costs; however, floating AWE farms have not yet been studied, and shared-line designs have not yet been commercialized due to the complexity of mooring-induced platform-to\u2013platform interactions. At the same time, taut mooring systems employing synthetic ropes are gaining interest, yet their inherently nonlinear behaviour is often neglected despite its known influence on system dynamics. This study addresses these gaps by numerically investigating the role of nonlinear tensile stiffness in shared-line moorings for floating AWE systems. A fully nonlinear stiffness model, based on industrial rope characteristics, is integrated to capture realistic material behaviour. The dynamics of a nine-platform shared-line farm are compared against a baseline single-device configuration under critical loading conditions, evaluating motions, line tensions, and hourly fatigue damage accumulation rate. Results show that even simple single-mooring configurations experience strong dynamic effects from material nonlinearities, including notable resonance shifts relative to linearized models. In shared-line arrangements, high-frequency load components associated with higher-order harmonics significantly accelerate fatigue damage accumulation. These findings underscore the critical importance of nonlinear mooring modelling in the design and assessment of shared-moored floating renewable energy systems.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('703','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_703\" style=\"display:none;\"><div class=\"tp_abstract_entry\">Airborne wind energy (AWE) has the potential to complement conventional wind power and accelerate the transition to renewable energy. Realizing this potential will require offshore farm-scale deployments, where mooring systems represent a significant share of capital expenditures. Shared-line mooring concepts have been proposed to reduce these costs; however, floating AWE farms have not yet been studied, and shared-line designs have not yet been commercialized due to the complexity of mooring-induced platform-to\u2013platform interactions. At the same time, taut mooring systems employing synthetic ropes are gaining interest, yet their inherently nonlinear behaviour is often neglected despite its known influence on system dynamics. This study addresses these gaps by numerically investigating the role of nonlinear tensile stiffness in shared-line moorings for floating AWE systems. A fully nonlinear stiffness model, based on industrial rope characteristics, is integrated to capture realistic material behaviour. The dynamics of a nine-platform shared-line farm are compared against a baseline single-device configuration under critical loading conditions, evaluating motions, line tensions, and hourly fatigue damage accumulation rate. Results show that even simple single-mooring configurations experience strong dynamic effects from material nonlinearities, including notable resonance shifts relative to linearized models. In shared-line arrangements, high-frequency load components associated with higher-order harmonics significantly accelerate fatigue damage accumulation. These findings underscore the critical importance of nonlinear mooring modelling in the design and assessment of shared-moored floating renewable energy systems.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('703','tp_abstract')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_703\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/https:\/\/doi.org\/10.1016\/j.apor.2026.105215\" title=\"Follow DOI:https:\/\/doi.org\/10.1016\/j.apor.2026.105215\" target=\"_blank\">doi:https:\/\/doi.org\/10.1016\/j.apor.2026.105215<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('703','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_number\">2.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Wang, Lu;  Robertson, Amy;  Jonkman, Jason;  Liao, Yingqian;  Berthelsen, Petter Andreas;  Abdelmoteleb, Serag-Eldin;  Rohrer, Peter;  Rajasree, Vishnu Ramachandran Nair;  Bachynski-Poli\u0107, Erin;  Clement, Constance;  Cunff, C\u00e9dric Le;  Vlachogiannis, Prokopios;  Peyrard, Christophe;  Pham, Dam Thanh;  Leahy, Paul;  Bouysses, Val\u00e9rie;  Brun, C\u00e9dric;  Wang, Lizhong;  Wang, Lilin;  Teng, Long;  Shi, Wei;  Fu, Yushun;  Abid, Ali;  Cheng, Zhengshun;  Chen, Peng;  Hu, Zhirong;  Bai, Haozhe;  Xu, Kun;  Das, Tuhin;  Sarker, Doyal;  Ngo, Tri;  Casal, Pau Trubat;  Molins, Climent;  Niosi, Francesco;  Dell&#039;Edera, Oronzo;  Paduano, Bruno;  Bertozzi, Andrea;  Bracco, Giovanni;  Tagliafierro, Bonaventura;  Moghtadaei, Abdolmajid;  Wright, Christopher<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('706','tp_links')\" style=\"cursor:pointer;\">OC7 phase I: Toward practical sea-state-dependent modeling of hydrodynamic viscous drag and damping<\/a> <span class=\"tp_pub_type tp_  article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Ocean Engineering, <\/span><span class=\"tp_pub_additional_volume\">vol. 336, <\/span><span class=\"tp_pub_additional_pages\">pp. 121745, <\/span><span class=\"tp_pub_additional_year\">2025<\/span>, <span class=\"tp_pub_additional_issn\">ISSN: 0029-8018<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_706\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('706','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_706\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('706','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_706\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('706','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_706\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Wang2025,<br \/>\r\ntitle = {OC7 phase I: Toward practical sea-state-dependent modeling of hydrodynamic viscous drag and damping},<br \/>\r\nauthor = {Lu Wang and Amy Robertson and Jason Jonkman and Yingqian Liao and Petter Andreas Berthelsen and Serag-Eldin Abdelmoteleb and Peter Rohrer and Vishnu Ramachandran Nair Rajasree and Erin Bachynski-Poli\u0107 and Constance Clement and C\u00e9dric Le Cunff and Prokopios Vlachogiannis and Christophe Peyrard and Dam Thanh Pham and Paul Leahy and Val\u00e9rie Bouysses and C\u00e9dric Brun and Lizhong Wang and Lilin Wang and Long Teng and Wei Shi and Yushun Fu and Ali Abid and Zhengshun Cheng and Peng Chen and Zhirong Hu and Haozhe Bai and Kun Xu and Tuhin Das and Doyal Sarker and Tri Ngo and Pau Trubat Casal and Climent Molins and Francesco Niosi and Oronzo Dell&#039;Edera and Bruno Paduano and Andrea Bertozzi and Giovanni Bracco and Bonaventura Tagliafierro and Abdolmajid Moghtadaei and Christopher Wright},<br \/>\r\ndoi = {https:\/\/doi.org\/10.1016\/j.oceaneng.2025.121745},<br \/>\r\nissn = {0029-8018},<br \/>\r\nyear  = {2025},<br \/>\r\ndate = {2025-01-01},<br \/>\r\nurldate = {2025-01-01},<br \/>\r\njournal = {Ocean Engineering},<br \/>\r\nvolume = {336},<br \/>\r\npages = {121745},<br \/>\r\nabstract = {This article presents a collaborative research campaign under the OC7 project on refining the engineering modeling approach for hydrodynamic viscous drag and damping on floating wind platforms, focusing on the adjustment of hydrodynamic drag and damping coefficients for different sea states. The participant simulation results show significant improvements over the previous OC6 project in predicting the low-frequency resonance motion under nonoperational conditions. The improvements are mainly due to enhanced modeling, including the adoption of wave stretching, and directly tuning the coefficients to measured platform motion in waves instead of free decay. For accurate predictions of mean- and slow-drift motion, the better performing models use a decreasing column splash zone drag coefficient and increasing surge damping\/drag with increasing wave height. The model tuning for heave and pitch resonance shows less consistency. Generally, both quadratic drag and additional heave or pitch damping are needed for accurate predictions. Alternatively, a quadratic drag formulation with velocity filtering for the rectangular pontoons leads to improved predictions without additional damping. This model is also potentially more predictive, requiring minimal adjustment to its parameters for different conditions.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('706','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_706\" style=\"display:none;\"><div class=\"tp_abstract_entry\">This article presents a collaborative research campaign under the OC7 project on refining the engineering modeling approach for hydrodynamic viscous drag and damping on floating wind platforms, focusing on the adjustment of hydrodynamic drag and damping coefficients for different sea states. The participant simulation results show significant improvements over the previous OC6 project in predicting the low-frequency resonance motion under nonoperational conditions. The improvements are mainly due to enhanced modeling, including the adoption of wave stretching, and directly tuning the coefficients to measured platform motion in waves instead of free decay. For accurate predictions of mean- and slow-drift motion, the better performing models use a decreasing column splash zone drag coefficient and increasing surge damping\/drag with increasing wave height. The model tuning for heave and pitch resonance shows less consistency. Generally, both quadratic drag and additional heave or pitch damping are needed for accurate predictions. Alternatively, a quadratic drag formulation with velocity filtering for the rectangular pontoons leads to improved predictions without additional damping. This model is also potentially more predictive, requiring minimal adjustment to its parameters for different conditions.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('706','tp_abstract')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_706\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/https:\/\/doi.org\/10.1016\/j.oceaneng.2025.121745\" title=\"Follow DOI:https:\/\/doi.org\/10.1016\/j.oceaneng.2025.121745\" target=\"_blank\">doi:https:\/\/doi.org\/10.1016\/j.oceaneng.2025.121745<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('706','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_number\">3.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Bertozzi, Andrea;  Niosi, Francesco;  Jiang, Xiaoli;  Jiang, Zhiyu<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('707','tp_links')\" style=\"cursor:pointer;\">Numerical Calibration of the Mooring System for a Semi-Submersible Floating Wind Turbine Model<\/a> <span class=\"tp_pub_type tp_  article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Journal of Offshore Mechanics and Arctic Engineering, <\/span><span class=\"tp_pub_additional_volume\">vol. 146, <\/span><span class=\"tp_pub_additional_number\">no. 6, <\/span><span class=\"tp_pub_additional_pages\">pp. 062001, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>, <span class=\"tp_pub_additional_issn\">ISSN: 0892-7219<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_707\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('707','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_707\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('707','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_707\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('707','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_707\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Bertozzi2024,<br \/>\r\ntitle = {Numerical Calibration of the Mooring System for a Semi-Submersible Floating Wind Turbine Model},<br \/>\r\nauthor = {Andrea Bertozzi and Francesco Niosi and Xiaoli Jiang and Zhiyu Jiang},<br \/>\r\ndoi = {10.1115\/1.4065551},<br \/>\r\nissn = {0892-7219},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-01-01},<br \/>\r\nurldate = {2024-01-01},<br \/>\r\njournal = {Journal of Offshore Mechanics and Arctic Engineering},<br \/>\r\nvolume = {146},<br \/>\r\nnumber = {6},<br \/>\r\npages = {062001},<br \/>\r\nabstract = {Numerical modeling of the floating offshore wind turbine (FOWT) dynamics plays a critical role at the design stage of a floating wind project. Still, there exist challenges for verification of efficient engineering models against experimental results. Recently, an experimental campaign was carried out for a 1:96 downscaled model of the OC4-DeepCWind semi-submersible platform with mooring lines made of fiber ropes and chains. Leveraging the results of this campaign, this paper focuses on the development and calibration of a numerical model for the semi-submersible platform with a focus on the dynamic responses under bichromatic waves. In the numerical model, the hydrodynamic loads are modeled based on the potential flow theory with Morison drag. The lumped mass method is applied to model the mooring system. Both free decay tests and bichromatic wave conditions are considered in the model calibration process, and key uncertain parameters (e.g., mooring line length) that affect the response have been identified and discussed. Using the proposed calibration procedure, we establish a reasonably good numerical model for prediction of the platform motion and mooring dynamics. The low-frequency responses of the platform under bichromatic waves are well-captured. These outcomes contribute to the development of efficient numerical FOWT models under experimental uncertainty.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('707','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_707\" style=\"display:none;\"><div class=\"tp_abstract_entry\">Numerical modeling of the floating offshore wind turbine (FOWT) dynamics plays a critical role at the design stage of a floating wind project. Still, there exist challenges for verification of efficient engineering models against experimental results. Recently, an experimental campaign was carried out for a 1:96 downscaled model of the OC4-DeepCWind semi-submersible platform with mooring lines made of fiber ropes and chains. Leveraging the results of this campaign, this paper focuses on the development and calibration of a numerical model for the semi-submersible platform with a focus on the dynamic responses under bichromatic waves. In the numerical model, the hydrodynamic loads are modeled based on the potential flow theory with Morison drag. The lumped mass method is applied to model the mooring system. Both free decay tests and bichromatic wave conditions are considered in the model calibration process, and key uncertain parameters (e.g., mooring line length) that affect the response have been identified and discussed. Using the proposed calibration procedure, we establish a reasonably good numerical model for prediction of the platform motion and mooring dynamics. The low-frequency responses of the platform under bichromatic waves are well-captured. These outcomes contribute to the development of efficient numerical FOWT models under experimental uncertainty.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('707','tp_abstract')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_707\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1115\/1.4065551\" title=\"Follow DOI:10.1115\/1.4065551\" target=\"_blank\">doi:10.1115\/1.4065551<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('707','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><\/div><\/div><\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-6e2a50b elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"6e2a50b\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-2bb4b27\" data-id=\"2bb4b27\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1805545 elementor-widget elementor-widget-text-editor\" data-id=\"1805545\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><b>Conference publications<\/b><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-ad1b424 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"ad1b424\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-inner-column elementor-element elementor-element-cf62729\" data-id=\"cf62729\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-01c5254 elementor-widget elementor-widget-shortcode\" data-id=\"01c5254\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"shortcode.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-shortcode\"><div class=\"teachpress_pub_list\"><form name=\"tppublistform\" method=\"get\"><a name=\"tppubs\" id=\"tppubs\"><\/a><div class=\"tp_search_input\"><input type=\"hidden\" name=\"p\" id=\"page_id\" value=\"1614\"\/><input name=\"tsr\" id=\"tp_search_input_field\" type=\"search\" placeholder=\"Enter search word\" value=\"\" tabindex=\"1\"\/><\/div><div class=\"teachpress_filter\"><select class=\"block\" title=\"All years\" name=\"yr\" id=\"yr\" tabindex=\"2\">\r\n                   <option value=\"\">All years<\/option>\r\n                   <option value=\"2026\" >2026<\/option><option value=\"2025\" >2025<\/option><option value=\"2024\" >2024<\/option><option value=\"2023\" >2023<\/option><option value=\"2022\" >2022<\/option><option value=\"2021\" >2021<\/option><option value=\"2020\" >2020<\/option><option value=\"2019\" >2019<\/option><option value=\"2018\" >2018<\/option><option value=\"2017\" >2017<\/option><option value=\"2016\" >2016<\/option><option value=\"2015\" >2015<\/option><option value=\"2014\" >2014<\/option><option value=\"2013\" >2013<\/option><option value=\"2012\" >2012<\/option><option value=\"2011\" >2011<\/option><option value=\"2010\" >2010<\/option><option value=\"2009\" >2009<\/option><option value=\"2008\" >2008<\/option><option value=\"2007\" >2007<\/option><option value=\"2006\" >2006<\/option>\r\n                <\/select><div class=\"teachpress_search_button\"><input name=\"tps_button\" class=\"tp_search_button\" type=\"submit\" tabindex=\"10\" value=\"Search\"\/><\/div><\/div><\/form><div class=\"teachpress_publication_list\"><div class=\"tp_publication tp_publication_conference\"><div class=\"tp_pub_number\">1.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Bertozzi, Andrea;  Vergara, Claudio;  Reuchlin, Sweder;  Schmehl, Roland<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('704','tp_links')\" style=\"cursor:pointer;\">Pumping cycle optimization of soft-wing airborne wind energy systems using quasi-steady simulations<\/a> <span class=\"tp_pub_type tp_  conference\">Conference<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_booktitle\">TORQUE 2026, <\/span><span class=\"tp_pub_additional_volume\">vol. 3224, <\/span><span class=\"tp_pub_additional_number\">no. 9, <\/span><span class=\"tp_pub_additional_series\">Journal of Physics: Conference Series <\/span><span class=\"tp_pub_additional_publisher\">IOP Publishing, <\/span><span class=\"tp_pub_additional_year\">2026<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_704\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('704','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_704\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('704','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_704\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('704','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_704\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@conference{Bertozzi2026a,<br \/>\r\ntitle = {Pumping cycle optimization of soft-wing airborne wind energy systems using quasi-steady simulations},<br \/>\r\nauthor = {Andrea Bertozzi and Claudio Vergara and Sweder Reuchlin and Roland Schmehl},<br \/>\r\ndoi = {10.1088\/1742-6596\/3224\/9\/092017},<br \/>\r\nyear  = {2026},<br \/>\r\ndate = {2026-05-01},<br \/>\r\nurldate = {2026-05-01},<br \/>\r\nbooktitle = {TORQUE 2026},<br \/>\r\njournal = {Journal of Physics: Conference Series},<br \/>\r\nvolume = {3224},<br \/>\r\nnumber = {9},<br \/>\r\npages = {092017},<br \/>\r\npublisher = {IOP Publishing},<br \/>\r\nseries = {Journal of Physics: Conference Series},<br \/>\r\nabstract = {This study presents a quasi-steady simulation and optimization framework for ground-generation airborne wind energy systems with soft kites. A novel parameterization of the reel-out phase is introduced, explicitly resolving crosswind maneuvers through a kinematically feasible figure-of-eight trajectory, thereby improving physical representativeness compared to conventional averaged crosswind models. The framework is validated against experimental data from the TU Delft V3 reference kite, showing good agreement in kite kinematics, phase- and cycle-averaged power, while highlighting expected limitations in instantaneous force prediction. The model is subsequently used to optimize pumping-cycle operational parameters under fixed environmental conditions, revealing significant variations in cycle duration and modest gains in average power. The results demonstrate the suitability of the proposed framework for efficient conceptual design studies and operational optimization of airborne wind energy systems.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {conference}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('704','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_704\" style=\"display:none;\"><div class=\"tp_abstract_entry\">This study presents a quasi-steady simulation and optimization framework for ground-generation airborne wind energy systems with soft kites. A novel parameterization of the reel-out phase is introduced, explicitly resolving crosswind maneuvers through a kinematically feasible figure-of-eight trajectory, thereby improving physical representativeness compared to conventional averaged crosswind models. The framework is validated against experimental data from the TU Delft V3 reference kite, showing good agreement in kite kinematics, phase- and cycle-averaged power, while highlighting expected limitations in instantaneous force prediction. The model is subsequently used to optimize pumping-cycle operational parameters under fixed environmental conditions, revealing significant variations in cycle duration and modest gains in average power. The results demonstrate the suitability of the proposed framework for efficient conceptual design studies and operational optimization of airborne wind energy systems.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('704','tp_abstract')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_704\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1088\/1742-6596\/3224\/9\/092017\" title=\"Follow DOI:10.1088\/1742-6596\/3224\/9\/092017\" target=\"_blank\">doi:10.1088\/1742-6596\/3224\/9\/092017<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('704','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_conference\"><div class=\"tp_pub_number\">2.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Bertozzi, Andrea;  Niosi, Francesco;  Dell\u2019Edera, Oronzo;  Paduano, Bruno;  Bracco, Giovanni<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('705','tp_links')\" style=\"cursor:pointer;\">Innovative calibration procedure of numerical models for FOWTs: an experimental validation<\/a> <span class=\"tp_pub_type tp_  conference\">Conference<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_booktitle\">EERA DeepWind 2025, <\/span><span class=\"tp_pub_additional_volume\">vol. 3131, <\/span><span class=\"tp_pub_additional_number\">no. 1, <\/span><span class=\"tp_pub_additional_series\">Journal of Physics: Conference Series <\/span><span class=\"tp_pub_additional_publisher\">IOP Publishing, <\/span><span class=\"tp_pub_additional_year\">2025<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_705\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('705','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_705\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('705','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_705\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('705','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_705\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@conference{Bertozzi2025,<br \/>\r\ntitle = {Innovative calibration procedure of numerical models for FOWTs: an experimental validation},<br \/>\r\nauthor = {Andrea Bertozzi and Francesco Niosi and Oronzo Dell\u2019Edera and Bruno Paduano and Giovanni Bracco},<br \/>\r\ndoi = {10.1088\/1742-6596\/3131\/1\/012009},<br \/>\r\nyear  = {2025},<br \/>\r\ndate = {2025-10-01},<br \/>\r\nurldate = {2025-10-01},<br \/>\r\nbooktitle = {EERA DeepWind 2025},<br \/>\r\njournal = {Journal of Physics: Conference Series},<br \/>\r\nvolume = {3131},<br \/>\r\nnumber = {1},<br \/>\r\npages = {012009},<br \/>\r\npublisher = {IOP Publishing},<br \/>\r\nseries = {Journal of Physics: Conference Series},<br \/>\r\nabstract = {Fine tuning of numerical models of Floating Offshore Wind Turbine (FOWT) dynamics is crucial to increase their response accuracy with respect to experimental data but still remains a significant challenge due to the large number of parameters involved. This paper builds on the results from a recent experimental campaign conducted on a 1:96 Froude-scaled model of the DeepCwind semi-submersible platform with a taut mooring system, presenting the development and calibration of a numerical model, focusing on the platform motion response. A two-stage optimization algorithm is employed to estimate linear and quadratic global damping coefficients exclusively using response data from free decay tests. Three operational sea-state conditions and one extreme condition are simulated leveraging the calibrated model, and results compared against experimental findings for validation. This study offers an efficient and widely applicable methodology for enhancing numerical modeling of FOWT systems.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {conference}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('705','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_705\" style=\"display:none;\"><div class=\"tp_abstract_entry\">Fine tuning of numerical models of Floating Offshore Wind Turbine (FOWT) dynamics is crucial to increase their response accuracy with respect to experimental data but still remains a significant challenge due to the large number of parameters involved. This paper builds on the results from a recent experimental campaign conducted on a 1:96 Froude-scaled model of the DeepCwind semi-submersible platform with a taut mooring system, presenting the development and calibration of a numerical model, focusing on the platform motion response. A two-stage optimization algorithm is employed to estimate linear and quadratic global damping coefficients exclusively using response data from free decay tests. Three operational sea-state conditions and one extreme condition are simulated leveraging the calibrated model, and results compared against experimental findings for validation. This study offers an efficient and widely applicable methodology for enhancing numerical modeling of FOWT systems.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('705','tp_abstract')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_705\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1088\/1742-6596\/3131\/1\/012009\" title=\"Follow DOI:10.1088\/1742-6596\/3131\/1\/012009\" target=\"_blank\">doi:10.1088\/1742-6596\/3131\/1\/012009<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('705','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><\/div><\/div><\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>MSc. in Mechanical Engineering @ Delft University of Technology<br \/>\nPhD Student at Politecnico di Milano<\/p>\n<p> <a class=\"more-link\" href=\"https:\/\/www.sas-lab.deib.polimi.it\/?p=1614\">Read more<\/a><\/p>","protected":false},"author":19,"featured_media":1615,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_header_footer","format":"standard","meta":{"footnotes":""},"categories":[8],"tags":[],"class_list":["post-1614","post","type-post","status-publish","format-standard","has-post-thumbnail","category-current-members"],"_links":{"self":[{"href":"https:\/\/www.sas-lab.deib.polimi.it\/index.php?rest_route=\/wp\/v2\/posts\/1614","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.sas-lab.deib.polimi.it\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.sas-lab.deib.polimi.it\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.sas-lab.deib.polimi.it\/index.php?rest_route=\/wp\/v2\/users\/19"}],"replies":[{"embeddable":true,"href":"https:\/\/www.sas-lab.deib.polimi.it\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1614"}],"version-history":[{"count":59,"href":"https:\/\/www.sas-lab.deib.polimi.it\/index.php?rest_route=\/wp\/v2\/posts\/1614\/revisions"}],"predecessor-version":[{"id":1870,"href":"https:\/\/www.sas-lab.deib.polimi.it\/index.php?rest_route=\/wp\/v2\/posts\/1614\/revisions\/1870"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.sas-lab.deib.polimi.it\/index.php?rest_route=\/wp\/v2\/media\/1615"}],"wp:attachment":[{"href":"https:\/\/www.sas-lab.deib.polimi.it\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1614"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.sas-lab.deib.polimi.it\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1614"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.sas-lab.deib.polimi.it\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1614"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}