Damage detection for structural health monitoring using reinforcement and imitation learning

IF 2.6 3区工程技术 Q2 ENGINEERING, CIVIL

Structure and Infrastructure Engineering Pub Date : 2024-02-27 DOI:10.1080/15732479.2024.2320686

Shervin Khazaeli, James-A. Goulet

引用次数: 0

Abstract

Structural damages are responsible for expenses associated with maintaining the safety and serviceability of infrastructures. Detecting damages is difficult because they often develop over years af...

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利用强化和模仿学习进行结构健康监测的损伤检测

结构性损坏需要承担与维护基础设施的安全性和可用性相关的费用。检测损坏是很困难的，因为它们往往是在多年后才形成的。

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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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).