{"id":21912,"date":"2023-11-24T16:58:20","date_gmt":"2023-11-24T16:58:20","guid":{"rendered":"https:\/\/www.vesamgroup.com\/?p=21912"},"modified":"2026-02-23T17:14:53","modified_gmt":"2026-02-23T17:14:53","slug":"application-of-machine-learning-and-artificial-intelligence-for-structural-damage-detection","status":"publish","type":"post","link":"https:\/\/www.vesamgroup.com\/en\/application-of-machine-learning-and-artificial-intelligence-for-structural-damage-detection\/","title":{"rendered":"Application of machine learning and artificial intelligence for structural damage detection"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"21912\" class=\"elementor elementor-21912\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-c5005d4 elementor-section-full_width elementor-section-height-default elementor-section-height-default qodef-elementor-content-no\" data-id=\"c5005d4\" data-element_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-a477b09\" data-id=\"a477b09\" data-element_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-f84cf33 elementor-widget elementor-widget-text-editor\" data-id=\"f84cf33\" data-element_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<p data-start=\"221\" data-end=\"615\">Structural Health Monitoring (SHM) aims primarily to accurately identify the current condition of a structure, assessing damage levels and potentially enabling the prediction of its future performance. These problems can be difficult to solve using conventional computational techniques alone, which creates big data opportunities for the application of artificial intelligence methodologies.<\/p><p data-start=\"221\" data-end=\"615\">This paper presents the integration of Machine Learning (ML) for pattern recognition with SHM systems through the development of statistical models. A case study of a steel tower is presented, tested in a laboratory environment to simulate structural damage by loosening bolted connections.<\/p><p><span style=\"font-weight: var( --e-global-typography-text-font-weight );\">\u00a0<\/span><\/p><p data-start=\"909\" data-end=\"980\"><strong data-start=\"909\" data-end=\"922\">AUTHORS |<\/strong> Filipe Santos\u1d43, Eduardo Gon\u00e7alves\u1d47 and Abel J.P. Gomes\u1d9c<\/p><p data-start=\"909\" data-end=\"980\"><span style=\"font-weight: var( --e-global-typography-text-font-weight );\">\u1d43 <\/span>VESAM Engenharia S.A., Zona Industrial de Cantanhede, Lote 69, 3060-197 Cantanhede, Portugal,\u00a0<span style=\"background-color: #ffffff;\">\u1d47\u00a0<\/span>MIRA SYSTEMS Lda, Quinta Vale do Espinhal, EM558 1, 3230-343 Penela, Portugal,\u00a0\u1d9c\u00a0Universidade da Beira Interior, Departamento de Inform\u00e1tica, 6200-001 Covilh\u00e3, Portugal<\/p><p data-start=\"909\" data-end=\"980\"><b>\u00a0<\/b><\/p><p data-start=\"909\" data-end=\"980\"><b>Paper presented at the XIV Congress on Steel and Composite Construction<\/b><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-176a79b elementor-widget elementor-widget-stal_core_button\" data-id=\"176a79b\" data-element_type=\"widget\" data-widget_type=\"stal_core_button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<a class=\"qodef-shortcode qodef-m  qodef-button qodef-layout--splitted  qodef-html--link\" href=\"https:\/\/www.vesamgroup.com\/wp-content\/uploads\/2026\/02\/APLICACAO-DE-MACHINE-LEARNING-E-INTELIGENCIA-ARTIFICIAL-PARA-DETECAO-DE-DANOS-ESTRUTURAIS.pdf\" target=\"_blank\"  >\n    <span class=\"qodef-m-text\">\n        See article        <svg class=\"qodef-m-arrowline\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" x=\"0px\" y=\"0px\" viewBox=\"0 0 63 20\" xml:space=\"preserve\">\n                            <line x1=\"61.6\" y1=\"10\" x2=\"61.6\" y2=\"10\"\/>\n                            <line x1=\"62\" y1=\"10\" x2=\"61.6\" y2=\"10\"\/>\n                            <line x1=\"61.6\" y1=\"10\" x2=\"1\" y2=\"10\"\/>\n                            <path d=\"M61.6,10\"\/>\n                            <line x1=\"61.6\" y1=\"10\" x2=\"61.6\" y2=\"10\"\/>\n                            <line class=\"arrow-up\" x1=\"56.7\" y1=\"5.1\" x2=\"61.6\" y2=\"10\"\/>\n                            <path d=\"M61.6,10\"\/>\n                            <line x1=\"61.6\" y1=\"10\" x2=\"61.6\" y2=\"10\"\/>\n                            <line class=\"arrow-down\" x1=\"61.6\" y1=\"10\" x2=\"56.7\" y2=\"14.9\"\/>\n                        <\/svg>    <\/span>\n    <span class=\"qodef-m-split qodef-split--up\"><\/span>\n    <span class=\"qodef-m-split qodef-split--down\"><\/span>\n<\/a>\n\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<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Structural Health Monitoring (SHM) aims primarily to accurately identify the current condition of a structure, assessing damage levels and potentially enabling the prediction of its future performance. These problems can be difficult to solve using conventional computational techniques alone, which creates big data opportunities for the application of artificial intelligence methodologies. This paper presents the [&hellip;]<\/p>\n","protected":false},"author":5,"featured_media":21895,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[100],"tags":[],"class_list":["post-21912","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-article"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Application of machine learning and artificial intelligence for structural damage detection - VESAM<\/title>\n<meta name=\"description\" content=\"Paper presented at the XIV Congress on Steel and Composite Construction\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.vesamgroup.com\/en\/application-of-machine-learning-and-artificial-intelligence-for-structural-damage-detection\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Application of machine learning and artificial intelligence for structural damage detection - VESAM\" \/>\n<meta property=\"og:description\" content=\"Paper presented at the XIV Congress on Steel and Composite Construction\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.vesamgroup.com\/en\/application-of-machine-learning-and-artificial-intelligence-for-structural-damage-detection\/\" \/>\n<meta property=\"og:site_name\" content=\"VESAM\" \/>\n<meta property=\"article:published_time\" content=\"2023-11-24T16:58:20+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-02-23T17:14:53+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.vesamgroup.com\/wp-content\/uploads\/2026\/02\/simulacao-de-laje-1024x485.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1024\" \/>\n\t<meta property=\"og:image:height\" content=\"485\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"S\u00edlvia Carvalho\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"S\u00edlvia Carvalho\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/www.vesamgroup.com\\\/en\\\/application-of-machine-learning-and-artificial-intelligence-for-structural-damage-detection\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.vesamgroup.com\\\/en\\\/application-of-machine-learning-and-artificial-intelligence-for-structural-damage-detection\\\/\"},\"author\":{\"name\":\"S\u00edlvia Carvalho\",\"@id\":\"https:\\\/\\\/www.vesamgroup.com\\\/en\\\/#\\\/schema\\\/person\\\/7541dc58dfc5ab0542e291a13346d929\"},\"headline\":\"Application of machine learning and artificial intelligence for structural damage detection\",\"datePublished\":\"2023-11-24T16:58:20+00:00\",\"dateModified\":\"2026-02-23T17:14:53+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/www.vesamgroup.com\\\/en\\\/application-of-machine-learning-and-artificial-intelligence-for-structural-damage-detection\\\/\"},\"wordCount\":163,\"publisher\":{\"@id\":\"https:\\\/\\\/www.vesamgroup.com\\\/en\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/www.vesamgroup.com\\\/en\\\/application-of-machine-learning-and-artificial-intelligence-for-structural-damage-detection\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/www.vesamgroup.com\\\/wp-content\\\/uploads\\\/2026\\\/02\\\/simulacao-de-laje.png\",\"articleSection\":[\"Articles\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.vesamgroup.com\\\/en\\\/application-of-machine-learning-and-artificial-intelligence-for-structural-damage-detection\\\/\",\"url\":\"https:\\\/\\\/www.vesamgroup.com\\\/en\\\/application-of-machine-learning-and-artificial-intelligence-for-structural-damage-detection\\\/\",\"name\":\"Application of machine learning and artificial intelligence for structural damage detection - 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