{"id":2516,"date":"2020-09-01T20:24:18","date_gmt":"2020-09-01T20:24:18","guid":{"rendered":"https:\/\/techclot.com\/index.php\/2020\/09\/01\/ai-system-better-assesses-bridge-structural-health-with-existing-sensors\/"},"modified":"2020-09-01T20:24:18","modified_gmt":"2020-09-01T20:24:18","slug":"ai-system-better-assesses-bridge-structural-health-with-existing-sensors","status":"publish","type":"post","link":"https:\/\/techclot.com\/index.php\/2020\/09\/01\/ai-system-better-assesses-bridge-structural-health-with-existing-sensors\/","title":{"rendered":"AI system better assesses bridge structural health with existing sensors"},"content":{"rendered":"

AI system better assesses bridge structural health with existing sensors<\/a><\/p>\n

<\/div>\n

\n A new system to assess the structural health of bridges using AI and an array of sensors is being developed by a team at the University of Texas at Arlington.\n <\/p>\n

\n

Modern bridges are typically built with weight-in-motion systems including sensors that measure vibrations, strain and deflection.<\/p>\n

By measuring the bridge\u2019s response to these elements, they can estimate the gross vehicle weights of passing vehicles and their effects on a bridge\u2019s structural health.<\/p>\n

But the researchers said these sensors don\u2019t take into account the different types of trucks, multiple lanes, times of day and how heavy traffic is.<\/p>\n

Nevertheless, since these sensors are often already in place, the team are trying to create a system by which these traditional measurements of structural health can be refined through machine learning.<\/p>\n

With the resulting data, transportation departments could set more accurate load parameters for bridges and get a better picture of a structure\u2019s overall integrity.<\/p>\n

Such data could prevent disasters like the 2018 collapse of the Ponte Morandi bridge (pictured) in Genoa, Italy when its weakening supports were put under additional pressure during a heavy storm.<\/p>\n

\u201cWe are combining a physics-based model with artificial intelligence, because the more a computer learns, the better information you get,\u201d lead researcher Suyun Ham said. \u201cUltimately, the addition of machine learning allows us to accurately determine multiple conditions.\u201d<\/p>\n

He is also working on a non-contact testing system to make faster, easier and more accurate determinations about when and where bridge repairs are needed.<\/p>\n

In February it emerged that Boris Johnson was considering building a \u00a320bn bridge<\/a> between Ireland and Scotland, as part of plans to upgrade the UK\u2019s infrastructure.<\/p>\n<\/p><\/div>\n

Sign up to the E&T News e-mail<\/a> to get great stories like this delivered to your inbox every day.<\/p>\n<\/p>\n

Published at Tue, 01 Sep 2020 16:29:39 +0000<\/p>\n

AI system better assesses bridge structural health with existing sensors<\/a><\/p>\n

<\/div>\n

\n A new system to assess the structural health of bridges using AI and an array of sensors is being developed by a team at the University of Texas at Arlington.\n <\/p>\n

\n

Modern bridges are typically built with weight-in-motion systems including sensors that measure vibrations, strain and deflection.<\/p>\n

By measuring the bridge\u2019s response to these elements, they can estimate the gross vehicle weights of passing vehicles and their effects on a bridge\u2019s structural health.<\/p>\n

But the researchers said these sensors don\u2019t take into account the different types of trucks, multiple lanes, times of day and how heavy traffic is.<\/p>\n

Nevertheless, since these sensors are often already in place, the team are trying to create a system by which these traditional measurements of structural health can be refined through machine learning.<\/p>\n

With the resulting data, transportation departments could set more accurate load parameters for bridges and get a better picture of a structure\u2019s overall integrity.<\/p>\n

Such data could prevent disasters like the 2018 collapse of the Ponte Morandi bridge (pictured) in Genoa, Italy when its weakening supports were put under additional pressure during a heavy storm.<\/p>\n

\u201cWe are combining a physics-based model with artificial intelligence, because the more a computer learns, the better information you get,\u201d lead researcher Suyun Ham said. \u201cUltimately, the addition of machine learning allows us to accurately determine multiple conditions.\u201d<\/p>\n

He is also working on a non-contact testing system to make faster, easier and more accurate determinations about when and where bridge repairs are needed.<\/p>\n

In February it emerged that Boris Johnson was considering building a \u00a320bn bridge<\/a> between Ireland and Scotland, as part of plans to upgrade the UK\u2019s infrastructure.<\/p>\n<\/p><\/div>\n

Sign up to the E&T News e-mail<\/a> to get great stories like this delivered to your inbox every day.<\/p>\n<\/p>\n

Published at Tue, 01 Sep 2020 16:29:39 +0000<\/p>\n","protected":false},"excerpt":{"rendered":"

AI system better assesses bridge structural health with existing sensors A new system to assess…<\/p>\n","protected":false},"author":3,"featured_media":2517,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[3],"tags":[],"class_list":["post-2516","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence"],"jetpack_featured_media_url":"https:\/\/i0.wp.com\/techclot.com\/wp-content\/uploads\/2020\/09\/dreamstime_xxl_145183245.jpg?fit=2100%2C1600&ssl=1","jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/p3orZX-EA","jetpack-related-posts":[],"_links":{"self":[{"href":"https:\/\/techclot.com\/index.php\/wp-json\/wp\/v2\/posts\/2516","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/techclot.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/techclot.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/techclot.com\/index.php\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/techclot.com\/index.php\/wp-json\/wp\/v2\/comments?post=2516"}],"version-history":[{"count":0,"href":"https:\/\/techclot.com\/index.php\/wp-json\/wp\/v2\/posts\/2516\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/techclot.com\/index.php\/wp-json\/wp\/v2\/media\/2517"}],"wp:attachment":[{"href":"https:\/\/techclot.com\/index.php\/wp-json\/wp\/v2\/media?parent=2516"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/techclot.com\/index.php\/wp-json\/wp\/v2\/categories?post=2516"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/techclot.com\/index.php\/wp-json\/wp\/v2\/tags?post=2516"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}