{"id":70805,"date":"2025-12-09T04:12:35","date_gmt":"2025-12-09T09:12:35","guid":{"rendered":"https:\/\/blogs.sw.siemens.com\/simcenter\/?p=70805"},"modified":"2026-03-26T06:51:51","modified_gmt":"2026-03-26T10:51:51","slug":"imac-2026-structural-dynamics","status":"publish","type":"post","link":"https:\/\/blogs.sw.siemens.com\/simcenter\/imac-2026-structural-dynamics\/","title":{"rendered":"Structural dynamics breakthrough: 10 powerful Siemens contributions driving a better future at IMAC 2026"},"content":{"rendered":"\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p><strong>Join Siemens at the 44th International Modal Analysis Conference (IMAC), where innovation meets real-world impact!&nbsp;<\/strong><\/p>\n\n\n\n<p>The&nbsp;<a href=\"https:\/\/sem.org\/imac\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>IMAC conference<\/strong><\/a><strong>&nbsp;<\/strong>at the Riviera Resort &amp; Spa in Palm Springs, CA is the world\u2019s leading event for structural dynamics professionals, bringing together researchers and industry experts to explore the latest advances in testing, simulation, and digital transformation. This year,&nbsp;our&nbsp;<a href=\"https:\/\/plm.sw.siemens.com\/en-US\/simcenter\/physical-testing\/\" target=\"_blank\" rel=\"noreferrer noopener\">Simcenter Physical Testing<\/a>&nbsp;team from&nbsp;<a href=\"https:\/\/www.sw.siemens.com\/en-US\/\" target=\"_blank\" rel=\"noreferrer noopener\">Siemens Digital Industries Software<\/a>&nbsp;is proud to present a record number of&nbsp;cutting-edge&nbsp;contributions, underscoring our commitment to pushing the boundaries of engineering. Mark January 19\u201322, 2026 in your calendar and&nbsp;don\u2019t&nbsp;miss it!&nbsp;<\/p>\n\n\n\n<p><strong>Why&nbsp;attend Siemens&nbsp;sessions at IMAC?&nbsp;<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Discover&nbsp;<\/strong><strong>i<\/strong><strong>nnovations&nbsp;<\/strong><strong>f<\/strong><strong>irst:<\/strong>&nbsp;Get an exclusive look at pioneering methods in&nbsp;\u202f<a href=\"https:\/\/plm.sw.siemens.com\/en-US\/simcenter\/simulation-test\/structural-dynamics-testing\/\" target=\"_blank\" rel=\"noreferrer noopener\">structural dynamics<\/a>,&nbsp;multi-axis&nbsp;vibration testing, AI-driven modal analysis,&nbsp;real-time&nbsp;digital twins, and more.&nbsp;<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Meet the experts:<\/strong>\u00a0Engage with Siemens engineers and researchers who are shaping tomorrow\u2019s solutions.\u00a0<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Real-<\/strong><strong>w<\/strong><strong>orld&nbsp;<\/strong><strong>i<\/strong><strong>mpact:<\/strong>&nbsp;See how our technologies are solving today\u2019s toughest challenges in aerospace, automotive, energy, and beyond.&nbsp;<\/li>\n<\/ul>\n\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"108\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC1-1024x108.jpg\" alt=\"\" class=\"wp-image-70819\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC1-1024x108.jpg 1024w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC1-600x63.jpg 600w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC1-768x81.jpg 768w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC1-1536x162.jpg 1536w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC1-900x95.jpg 900w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC1.jpg 1786w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"680\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC2-1024x680.jpg\" alt=\"\" class=\"wp-image-70820\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC2-1024x680.jpg 1024w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC2-600x399.jpg 600w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC2-768x510.jpg 768w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC2-900x598.jpg 900w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC2.jpg 1278w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Pushing the boundaries of structural testing: Siemens innovations in MIMO testing, automation, and digital twins<\/h2>\n\n\n\n<div style=\"height:25px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-media-text is-stacked-on-mobile is-vertically-aligned-top\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"1024\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC3-1024x1024.jpg\" alt=\"\" class=\"wp-image-70848 size-full\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC3-1024x1024.jpg 1024w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC3-600x600.jpg 600w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC3-150x150.jpg 150w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC3-768x767.jpg 768w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC3-900x899.jpg 900w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC3.jpg 1504w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p><strong>Multi-DOF <\/strong><strong>durability approach for tailored multi- and uniaxial vibration Tests<\/strong><\/p>\n\n\n\n<p><strong>Main author:<\/strong> Alberto Garc\u00eda de Miguel<\/p>\n\n\n\n<p><strong>Time:<\/strong> Tuesday, January 20, 9:00 AM (local time)<\/p>\n\n\n\n<p><strong>Paper no.:<\/strong> 20366<\/p>\n\n\n\n<p>\u201cOur new multi-DOF durability framework enables more realistic vibration tests, unlocking the full potential of advanced shaker platforms.\u201d<br><br><strong>\u2014 Alberto Garc\u00eda de Miguel<\/strong><\/p>\n<\/div><\/div>\n\n\n\n<div style=\"height:25px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-media-text has-media-on-the-right is-stacked-on-mobile is-vertically-aligned-top\"><div class=\"wp-block-media-text__content\">\n<p><strong>Abstract:<\/strong><br>Modern engineering faces unprecedented challenges in vibration testing as structures become increasingly complex. Traditional uniaxial testing often fails to replicate real-world damage mechanisms. This presentation introduces a novel multiaxial fatigue damage formulation, extending standard fatigue analysis to multi-axis tests. By incorporating cross-correlations and a multi-DOF severity metric, the approach enables more accurate <a href=\"https:\/\/community.sw.siemens.com\/s\/article\/Simcenter-Testlab-Neo-Mission-Synthesis\" target=\"_blank\" rel=\"noopener\">mission synthesis<\/a> and test tailoring, ensuring that multi-axis platforms are fully leveraged for durability validation.<\/p>\n\n\n\n<p><\/p>\n<\/div><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"398\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC4-1024x398.jpg\" alt=\"\" class=\"wp-image-70849 size-full\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC4-1024x398.jpg 1024w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC4-600x233.jpg 600w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC4-768x298.jpg 768w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC4-1536x597.jpg 1536w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC4-900x350.jpg 900w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC4.jpg 1740w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure><\/div>\n\n\n\n<div style=\"height:25px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-media-text is-stacked-on-mobile is-vertically-aligned-top\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"868\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC5-1024x868.jpg\" alt=\"\" class=\"wp-image-70850 size-full\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC5-1024x868.jpg 1024w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC5-600x509.jpg 600w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC5-768x651.jpg 768w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC5-1536x1302.jpg 1536w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC5-900x763.jpg 900w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC5.jpg 1556w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p><strong>Guided <\/strong><strong>analysis tools for highly efficient impact testing and modal parameter estimation<\/strong><\/p>\n\n\n\n<p><strong>Speaker:<\/strong> Bart Peeters<\/p>\n\n\n\n<p><strong>Time:<\/strong> Tuesday, January 20, 10:00 AM (local time)<\/p>\n\n\n\n<p><strong>Paper no.:<\/strong> 20537<\/p>\n\n\n\n<p>\u201cSmart Hit Selection and AI bring expert-level modal analysis to every engineer automatically.\u201d<br><br><strong>\u2014 Bart Peeters<\/strong><\/p>\n<\/div><\/div>\n\n\n\n<div style=\"height:25px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-media-text has-media-on-the-right is-stacked-on-mobile is-vertically-aligned-top\"><div class=\"wp-block-media-text__content\">\n<p><strong>Abstract:<\/strong><br><a href=\"https:\/\/community.sw.siemens.com\/s\/article\/simcenter-testlab-impact-testing\" target=\"_blank\" rel=\"noopener\">Impact testing<\/a> is a cornerstone of experimental structural dynamics, but efficiency and quality are often limited by manual processes. This session highlights the Smart Hit Selection (SHS) method, which automates optimal impact selection for Frequency Response Function (FRF) measurements. Additionally, a Hybrid AI approach combines machine learning and rule-based expertise to automate modal parameter estimation, delivering results with expert-level accuracy and minimal human intervention.<\/p>\n\n\n\n<p><\/p>\n<\/div><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"609\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC6-1024x609.jpg\" alt=\"\" class=\"wp-image-70851 size-full\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC6-1024x609.jpg 1024w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC6-600x357.jpg 600w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC6-768x457.jpg 768w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC6-1536x913.jpg 1536w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC6-900x535.jpg 900w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC6.jpg 1620w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure><\/div>\n\n\n\n<div style=\"height:25px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-media-text is-stacked-on-mobile is-vertically-aligned-top\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"766\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC7-1024x766.jpg\" alt=\"\" class=\"wp-image-70853 size-full\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC7-1024x766.jpg 1024w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC7-600x449.jpg 600w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC7-768x574.jpg 768w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC7-1536x1149.jpg 1536w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC7-900x673.jpg 900w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC7.jpg 1647w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p><strong>Virtual shaker testing using a real-time executable digital twin<\/strong><\/p>\n\n\n\n<p><strong>Speaker:<\/strong> Mattia Dal Borgo<\/p>\n\n\n\n<p><strong>Time: <\/strong>Tuesday, January 20, 10:00 AM (local time)<\/p>\n\n\n\n<p><strong>Paper no.: <\/strong>20664<\/p>\n\n\n\n<p>\u201cReal-time digital twins let us predict and optimize vibration tests before they happen.\u201d<br><br><strong>\u2014 Mattia Dal Borgo<\/strong><\/p>\n<\/div><\/div>\n\n\n\n<div style=\"height:25px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-media-text has-media-on-the-right is-stacked-on-mobile is-vertically-aligned-top\"><div class=\"wp-block-media-text__content\">\n<p><strong>Abstract:<\/strong><br><a href=\"https:\/\/blogs.sw.siemens.com\/simcenter\/de-risk-spacecraft-qualification\/\">Dynamic testing<\/a> of spacecraft and components is vital to assess their &nbsp;integrity under operational loads. This presentation introduces a virtual shaker testing approach, where a real-time digital twin of the test setup is connected to the vibration controller. This allows engineers to safely test an emulation of the entire system and predict the outcome of the physical test before its execution, improving setup, control parameters, and without the risk of damaging the device under test and the shaker.<\/p>\n\n\n\n<p><\/p>\n<\/div><figure class=\"wp-block-media-text__media\"><video controls src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/1IMAC_blog_VST_Mattia_visual.mp4\"><\/video><\/figure><\/div>\n\n\n\n<div style=\"height:25px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-media-text is-stacked-on-mobile is-vertically-aligned-top\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"922\" height=\"1024\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC9-922x1024.jpg\" alt=\"\" class=\"wp-image-70855 size-full\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC9-922x1024.jpg 922w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC9-540x600.jpg 540w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC9-768x853.jpg 768w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC9-900x1000.jpg 900w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC9.jpg 1351w\" sizes=\"auto, (max-width: 922px) 100vw, 922px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p><strong>Shaker <\/strong><strong>testing of a fuel cell stack: Modal survey, FE model updating, and fixture coupling neutralization<\/strong><\/p>\n\n\n\n<p><strong>Speaker:<\/strong> Giancarlo Kosova<\/p>\n\n\n\n<p><strong>Time: <\/strong>Tuesday, January 20, 5:00 PM (local time)<\/p>\n\n\n\n<p><strong>Paper no.: <\/strong>20637<\/p>\n\n\n\n<p>\u201cShaker testing is essential for validating fuel cell stack durability and refining our numerical models.\u201d<br><br><strong>\u2014 Giancarlo Kosova<\/strong><\/p>\n<\/div><\/div>\n\n\n\n<div style=\"height:25px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-media-text has-media-on-the-right is-stacked-on-mobile is-vertically-aligned-top\"><div class=\"wp-block-media-text__content\">\n<p><strong>Abstract:<\/strong><br>This study presents a comprehensive approach to fuel cell stack testing, combining <a href=\"https:\/\/plm.sw.siemens.com\/en-US\/simcenter\/simulation-test\/structural-dynamics-testing\/experimental-modal-analysis\/\" target=\"_blank\" rel=\"noopener\">experimental modal analysis<\/a>, finite element model updating, and fixture decoupling. The results demonstrate the importance of accurate testing and model correlation for predicting structural integrity and optimizing design in real-world operational conditions.<\/p>\n\n\n\n<p><\/p>\n<\/div><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"654\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC10-1024x654.jpg\" alt=\"\" class=\"wp-image-70856 size-full\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC10-1024x654.jpg 1024w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC10-600x383.jpg 600w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC10-768x491.jpg 768w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC10-1536x982.jpg 1536w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC10-900x575.jpg 900w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC10.jpg 1546w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure><\/div>\n\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Next-generation structural insights: AI, video-based analysis, and multiphysics sensing by Siemens<\/h2>\n\n\n\n<div style=\"height:25px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-media-text is-stacked-on-mobile is-vertically-aligned-top\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"1021\" height=\"1024\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC11-1021x1024.jpg\" alt=\"\" class=\"wp-image-70857 size-full\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC11-1021x1024.jpg 1021w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC11-598x600.jpg 598w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC11-150x150.jpg 150w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC11-768x771.jpg 768w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC11-900x903.jpg 900w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC11.jpg 1517w\" sizes=\"auto, (max-width: 1021px) 100vw, 1021px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p><strong>Full-field <\/strong><strong>operational deflection shapes magnification using a convolutional neural network<\/strong><\/p>\n\n\n\n<p><strong>Speaker:<\/strong> Prof. Francesco Cosco (University of Calabria, co-author with our Siemens colleagues)<\/p>\n\n\n\n<p><strong>Time: <\/strong>Wednesday, January 21, 9:40 AM (local time)<\/p>\n\n\n\n<p><strong>Paper no.: <\/strong>20327<\/p>\n\n\n\n<p>\u201cDeep learning enables high-fidelity, full-field deflection shape visualization from simple video.\u201d<br><br><strong>\u2014 Francesco Cosco<\/strong><\/p>\n<\/div><\/div>\n\n\n\n<div style=\"height:25px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-media-text has-media-on-the-right is-stacked-on-mobile is-vertically-aligned-top\"><div class=\"wp-block-media-text__content\">\n<p><strong>Abstract:<\/strong><br>This work introduces a novel convolutional neural network (CNN) approach for extracting and magnifying <a href=\"https:\/\/community.sw.siemens.com\/s\/article\/what-is-an-operational-deflection-shape-ods\" target=\"_blank\" rel=\"noopener\">Operational Deflection Shapes<\/a> (ODS) from high-speed video. The method delivers clean, high-quality ODS animations &nbsp;enabling non-contact, full-field observation of structural dynamics.<\/p>\n\n\n\n<p><\/p>\n<\/div><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"441\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC13-1024x441.jpg\" alt=\"\" class=\"wp-image-70858 size-full\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC13-1024x441.jpg 1024w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC13-600x258.jpg 600w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC13-768x331.jpg 768w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC13-900x387.jpg 900w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC13.jpg 1222w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure><\/div>\n\n\n\n<div style=\"height:25px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-media-text is-stacked-on-mobile is-vertically-aligned-top\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"813\" height=\"1024\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC14-813x1024.jpg\" alt=\"\" class=\"wp-image-70859 size-full\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC14-813x1024.jpg 813w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC14-476x600.jpg 476w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC14-768x968.jpg 768w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC14-1219x1536.jpg 1219w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC14-900x1134.jpg 900w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC14.jpg 1270w\" sizes=\"auto, (max-width: 813px) 100vw, 813px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p><strong>Structural <\/strong><strong>response characterization under multi-axis excitation via video motion magnification<\/strong><\/p>\n\n\n\n<p><strong>Main author:<\/strong> Davide Mastrodicasa<\/p>\n\n\n\n<p><strong>Time: <\/strong>Wednesday, January 21, 10:20 AM (local time)<\/p>\n\n\n\n<p><strong>Paper no.: <\/strong>20438<\/p>\n\n\n\n<p>\u201cVideo motion magnification lets us identify critical responses before real testing\u2014non-intrusively.\u201d<br><br><strong>\u2014 Davide Mastrodicasa<\/strong><\/p>\n<\/div><\/div>\n\n\n\n<div style=\"height:25px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-media-text has-media-on-the-right is-stacked-on-mobile is-vertically-aligned-top\"><div class=\"wp-block-media-text__content\">\n<p><strong>Abstract:<\/strong><br>This presentation explores the use of Video Motion Magnification (VMM) for pre-test analysis in vibration control tests. The goal is to visualize the full-field structural dynamics in a rapid manner to identify the most critical responses, helping test engineers to de-risk the test campaign. By integrating synthetic image generation in Blender, the feasibility of camera-based displacement retrieval can be validated before physical testing, helping to optimize test setups.<\/p>\n\n\n\n<p><\/p>\n<\/div><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"614\" height=\"615\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC15.jpg\" alt=\"\" class=\"wp-image-70860 size-full\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC15.jpg 614w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC15-600x600.jpg 600w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC15-150x150.jpg 150w\" sizes=\"auto, (max-width: 614px) 100vw, 614px\" \/><\/figure><\/div>\n\n\n\n<div style=\"height:25px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-media-text is-stacked-on-mobile is-vertically-aligned-top\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"960\" height=\"720\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/P2071220-2.jpg\" alt=\"\" class=\"wp-image-70872 size-full\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/P2071220-2.jpg 960w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/P2071220-2-600x450.jpg 600w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/P2071220-2-768x576.jpg 768w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/P2071220-2-900x675.jpg 900w\" sizes=\"auto, (max-width: 960px) 100vw, 960px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p><strong>Multiphysics <\/strong><strong>modeling for virtual sensing of an aluminum wing in wind tunnel tests<\/strong><\/p>\n\n\n\n<p><strong>Speaker:<\/strong> Silvia Vettori<\/p>\n\n\n\n<p><strong>Time: <\/strong>Wednesday, January 21, 11:40 AM (local time)<\/p>\n\n\n\n<p><strong>Paper no.: <\/strong>20480<\/p>\n\n\n\n<p>\u201cOur Kalman-based virtual sensing framework estimates full-field responses with minimal sensors.\u201d<br><br><strong>\u2014 Silvia Vettori<\/strong><\/p>\n<\/div><\/div>\n\n\n\n<div style=\"height:25px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-media-text has-media-on-the-right is-stacked-on-mobile is-vertically-aligned-top\"><div class=\"wp-block-media-text__content\">\n<p><strong>Abstract:<\/strong><br>Understanding fluid-structure interaction is vital for modern lightweight structures. This session presents a Kalman-based <a href=\"https:\/\/blogs.sw.siemens.com\/simcenter\/simcenter-3d-smart-virtual-sensing-unveiling-the-magic\/\">virtual sensing<\/a> framework that uses a multiphysics approach to estimate full-field strain, displacement, and pressure fields from limited sensor data, reducing the need for extensive instrumentation.<\/p>\n\n\n\n<p><\/p>\n<\/div><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"944\" height=\"1024\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC17-944x1024.jpg\" alt=\"\" class=\"wp-image-70862 size-full\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC17-944x1024.jpg 944w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC17-553x600.jpg 553w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC17-768x833.jpg 768w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC17-1416x1536.jpg 1416w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC17-900x976.jpg 900w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC17.jpg 1438w\" sizes=\"auto, (max-width: 944px) 100vw, 944px\" \/><\/figure><\/div>\n\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Smart monitoring and NVH excellence: Siemens advances in automated damage detection and E-Mobility<\/h2>\n\n\n\n<div style=\"height:25px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-media-text is-stacked-on-mobile is-vertically-aligned-top\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"960\" height=\"720\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/P2071220-2.jpg\" alt=\"\" class=\"wp-image-70873 size-full\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/P2071220-2.jpg 960w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/P2071220-2-600x450.jpg 600w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/P2071220-2-768x576.jpg 768w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/P2071220-2-900x675.jpg 900w\" sizes=\"auto, (max-width: 960px) 100vw, 960px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p><strong>Automated <\/strong><strong>data-driven damage detection in structural health monitoring of wind turbine blades<\/strong><\/p>\n\n\n\n<p><strong>Speaker:<\/strong> Silvia Vettori<\/p>\n\n\n\n<p><strong>Time: <\/strong>Thursday, January 22, 10:20 AM (local time)<\/p>\n\n\n\n<p><strong>Paper no.: <\/strong>20422<\/p>\n\n\n\n<p>\u201cAutomated, data-driven SHM enables early damage detection and smarter maintenance.\u201d<br><br><strong>\u2014 Silvia Vettori<\/strong><\/p>\n<\/div><\/div>\n\n\n\n<div style=\"height:25px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-media-text has-media-on-the-right is-stacked-on-mobile is-vertically-aligned-top\"><div class=\"wp-block-media-text__content\">\n<p><strong>Abstract:<\/strong><br>This work validates and automates a signal processing algorithm for detecting damage in wind turbine blades. Developed by the Mechanical and Aerospace Engineering Department at University of Rome&nbsp; \u201cSapienza\u201d, the approach combines Principal Component Analysis (PCA) and Independent Component Analysis (ICA), to support efficient, real-time monitoring and early damage detection. The entire process has been integrated within an automated monitoring workflow using <a href=\"https:\/\/community.sw.siemens.com\/s\/article\/Simcenter-Testlab-Workflow-Automation-TWA\" target=\"_blank\" rel=\"noopener\">Simcenter Testlab Workflow Automation (TWA)<\/a>, enabling automatic calculation and tracking of the damage indicator across multiple measurement sessions.<\/p>\n\n\n\n<p><\/p>\n<\/div><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"617\" height=\"828\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC18.jpg\" alt=\"\" class=\"wp-image-70864 size-full\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC18.jpg 617w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC18-447x600.jpg 447w\" sizes=\"auto, (max-width: 617px) 100vw, 617px\" \/><\/figure><\/div>\n\n\n\n<div style=\"height:25px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-media-text is-stacked-on-mobile is-vertically-aligned-top\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"1021\" height=\"1024\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC11-1021x1024.jpg\" alt=\"\" class=\"wp-image-70865 size-full\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC11-1021x1024.jpg 1021w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC11-598x600.jpg 598w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC11-150x150.jpg 150w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC11-768x771.jpg 768w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC11-900x903.jpg 900w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC11.jpg 1517w\" sizes=\"auto, (max-width: 1021px) 100vw, 1021px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p><strong>Camera-<\/strong><strong>based operational modal analysis and modal magnification: A full-field approach using phase information<\/strong><\/p>\n\n\n\n<p><strong>Speaker:<\/strong> Prof. Francesco Cosco (University of Calabria, co-author with our Siemens colleagues)<\/p>\n\n\n\n<p><strong>Time: <\/strong>Thursday, January 22, 11:10 AM (local time)<\/p>\n\n\n\n<p><strong>Paper no.: <\/strong>20474<\/p>\n\n\n\n<p>\u201cFull-field OMA is now possible with just a single video camera and advanced phase-based processing.\u201d<br><br><strong>\u2014 Francesco Cosco<\/strong><\/p>\n<\/div><\/div>\n\n\n\n<div style=\"height:25px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-media-text has-media-on-the-right is-stacked-on-mobile is-vertically-aligned-top\"><div class=\"wp-block-media-text__content\">\n<p><strong>Abstract:<\/strong><br>This presentation demonstrates a phase-based video motion magnification technique for full-field <a href=\"https:\/\/community.sw.siemens.com\/s\/article\/OMG-What-is-OMA-Operating-Modal-Analysis\" target=\"_blank\" rel=\"noopener\">Operational Modal Analysis <\/a>&nbsp;(OMA). The approach enables extraction of modal parameters and mode shapes using only a single camera, validated on both laboratory and full-scale aircraft tests.<\/p>\n\n\n\n<p><\/p>\n<\/div><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"670\" height=\"367\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC19.jpg\" alt=\"\" class=\"wp-image-70866 size-full\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC19.jpg 670w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC19-600x329.jpg 600w\" sizes=\"auto, (max-width: 670px) 100vw, 670px\" \/><\/figure><\/div>\n\n\n\n<div style=\"height:25px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-media-text is-stacked-on-mobile is-vertically-aligned-top\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"638\" height=\"563\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC20.jpg\" alt=\"\" class=\"wp-image-70867 size-full\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC20.jpg 638w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC20-600x529.jpg 600w\" sizes=\"auto, (max-width: 638px) 100vw, 638px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p><strong>Battery <\/strong><strong>pack integration: experimental and modal modeling for NVH performance<\/strong><\/p>\n\n\n\n<p><strong>Main author:<\/strong> Fabio Bianciardi<\/p>\n\n\n\n<p><strong>Time: <\/strong>Thursday, January 22, 2:30 PM (local time)<\/p>\n\n\n\n<p><strong>Paper no.: <\/strong>20458<\/p>\n\n\n\n<p>\u201cFrequency-based substructuring helps us predict and optimize EV NVH performance early in development.\u201d<br><br><strong>\u2014 Fabio Bianciardi<\/strong><\/p>\n<\/div><\/div>\n\n\n\n<div style=\"height:25px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-media-text has-media-on-the-right is-stacked-on-mobile is-vertically-aligned-top\"><div class=\"wp-block-media-text__content\">\n<p><strong>Abstract:<\/strong><br>Integrating battery packs into electric vehicles poses unique NVH (Noise, Vibration, Harshness) challenges. This session discusses experimental <a href=\"https:\/\/community.sw.siemens.com\/s\/article\/FRF-Based-Substructuring\" target=\"_blank\" rel=\"noopener\">Frequency-Based Substructuring<\/a> (FBS) for predicting and optimizing NVH performance. Modal modeling is hereby considered for increasing data consistency. A novel modal model identification approach is proposed, and its targeted use in battery-to-body integration is evaluated.<\/p>\n<\/div><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"637\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/GettyImages-1546805700-1024x637.jpg\" alt=\"\" class=\"wp-image-70868 size-full\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/GettyImages-1546805700-1024x637.jpg 1024w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/GettyImages-1546805700-600x373.jpg 600w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/GettyImages-1546805700-768x478.jpg 768w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/GettyImages-1546805700-1536x955.jpg 1536w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/GettyImages-1546805700-2048x1274.jpg 2048w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/GettyImages-1546805700-900x560.jpg 900w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure><\/div>\n\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">What sets Siemens apart at IMAC?<\/h2>\n\n\n\n<div style=\"height:25px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Pioneering <\/strong><strong>research:<\/strong> Our team leads the way in MIMO testing, AI-powered analysis, and (real-time) digital twin technology.<\/li>\n\n\n\n<li><strong>Industry <\/strong><strong>collaboration:<\/strong> Siemens presentations are grounded in real-world projects, from spacecraft to wind turbines and electric vehicles.<\/li>\n\n\n\n<li><strong>Accessible expertise:<\/strong> Whether you\u2019re a seasoned engineer or new to structural dynamics, our sessions are designed to inspire and inform.<\/li>\n<\/ul>\n\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Visit the Siemens booth for structural dynamics insights<\/h2>\n\n\n\n<div style=\"height:25px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>Stop by the Siemens booth to explore how Simcenter SCADAS and Simcenter Testlab empower structural dynamics testing. Learn directly from our experts about advanced workflows for impact testing, high-channel data acquisition, automated modal analysis, and digital-twin-driven vibration studies. Get practical insights you can apply immediately to improve test efficiency, accuracy, and confidence your front-row seat to the future of structural dynamics.<\/p>\n\n\n\n<div style=\"height:25px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"798\" height=\"483\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/1761941899157.jpeg\" alt=\"Structural dynamics with Simcenter SCADAS and Simcenter Testlab\" class=\"wp-image-70838\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/1761941899157.jpeg 798w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/1761941899157-600x363.jpeg 600w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/1761941899157-768x465.jpeg 768w\" sizes=\"auto, (max-width: 798px) 100vw, 798px\" \/><\/figure>\n\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Join Us at IMAC 2026!<\/h2>\n\n\n\n<div style=\"height:25px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>Don\u2019t miss the chance to connect with Siemens experts, discover the latest in structural dynamics, and see how innovation is turning challenges into opportunities.<br><br><a href=\"https:\/\/sem.org\/Files\/events\/44i\/44i-2026-IMAC-XLIV_Tech%20Schedule%20GRID_For%20WEB_10-29-2025.pdf\" target=\"_blank\" rel=\"noopener\"><strong>Explore the full IMAC program<\/strong><\/a><\/p>\n\n\n\n<p>For a deeper dive into Siemens\u2019 IMAC contributions, <a href=\"https:\/\/sem.org\/imac\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Register<\/strong><\/a> and follow us on LinkedIn for live updates.<br><\/p>\n\n\n\n<p><strong>Let\u2019s shape the future of structural dynamics together at IMAC 2026!<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The\u00a0IMAC conference\u00a0is the world\u2019s leading event for structural dynamics professionals. This year,\u00a0the Simcenter Physical Testing\u00a0team from\u00a0Siemens Digital Industries Software\u00a0is proud to present a record number of\u00a0cutting-edge\u00a0contributions. Mark January 19\u201322, 2026 in your calendar and\u00a0don\u2019t\u00a0miss it!\u00a0<\/p>\n","protected":false},"author":55958,"featured_media":70818,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"spanish_translation":"","french_translation":"","german_translation":"","italian_translation":"","polish_translation":"","japanese_translation":"","chinese_translation":"","footnotes":""},"categories":[1],"tags":[46960],"industry":[],"product":[],"coauthors":[38367],"class_list":["post-70805","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","tag-structural-dynamics"],"featured_image_url":"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/12\/IMAC1.jpg","_links":{"self":[{"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/posts\/70805","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/users\/55958"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/comments?post=70805"}],"version-history":[{"count":6,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/posts\/70805\/revisions"}],"predecessor-version":[{"id":70916,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/posts\/70805\/revisions\/70916"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/media\/70818"}],"wp:attachment":[{"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/media?parent=70805"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/categories?post=70805"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/tags?post=70805"},{"taxonomy":"industry","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/industry?post=70805"},{"taxonomy":"product","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/product?post=70805"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/coauthors?post=70805"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}