使用深度神经网络的基于振动的公路钢梁桥梁双标准损伤检测方法

IF 2.6 3区工程技术 Q2 ENGINEERING, CIVIL

Structure and Infrastructure Engineering Pub Date : 2024-09-18 DOI:10.1080/15732479.2024.2401381

Sara Zalaghi, Armin Aziminejad, Hossein Rahami, Abdolreza S. Moghadam, Mir Hamid Hosseini

引用次数: 0

摘要

本文介绍了一种利用深度神经网络评估公路桥梁钢梁损伤的新方法。该方法使用了模态应变能损伤指数的修正形式和...

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Vibration based dual-criteria damage detection method using deep neural networks in highway bridges with steel girders

This article introduces a new method for assessing the damage in steel girders of highway bridges using deep neural networks. The method uses modified forms of modal strain energy damage index and ...

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来源期刊

Structure and Infrastructure Engineering 工程技术-工程：机械

CiteScore

9.50

自引率

8.10%

发文量

131

审稿时长

5.3 months

期刊介绍： Structure and Infrastructure Engineering - Maintenance, Management, Life-Cycle Design and Performance is an international Journal dedicated to recent advances in maintenance, management and life-cycle performance of a wide range of infrastructures, such as: buildings, bridges, dams, railways, underground constructions, offshore platforms, pipelines, naval vessels, ocean structures, nuclear power plants, airplanes and other types of structures including aerospace and automotive structures. The Journal presents research and developments on the most advanced technologies for analyzing, predicting and optimizing infrastructure performance. The main gaps to be filled are those between researchers and practitioners in maintenance, management and life-cycle performance of infrastructure systems, and those between professionals working on different types of infrastructures. To this end, the journal will provide a forum for a broad blend of scientific, technical and practical papers. The journal is endorsed by the International Association for Life-Cycle Civil Engineering ( IALCCE) and the International Association for Bridge Maintenance and Safety ( IABMAS).