contributor author | Shi-Zhi Chen | |
contributor author | Gang Wu | |
contributor author | De-Cheng Feng | |
contributor author | Zhun Wang | |
contributor author | Xu-Yang Cao | |
date accessioned | 2022-01-30T19:47:29Z | |
date available | 2022-01-30T19:47:29Z | |
date issued | 2020 | |
identifier other | %28ASCE%29BE.1943-5592.0001542.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4265985 | |
description abstract | Highway bridges are vital infrastructure engineering whose safety severely influences the safety and stability of society. Damage identification, as the core part of structural health monitoring, plays an essential role in highway-bridge maintenance to help detect potential damage. There have been many studies conducted, with various damage identification methods proposed. However, there are still several problems with the durability of sensors and the reliability of methods, such as the issue of false alarm. Under this background, this paper proposed a multi-cross-reference method for highway-bridge damage identification method utilizing long-gauge fiber Bragg-grating (FBG) sensors. Through several numerical simulations and on-site testing, its feasibility under various conditions was verified. The results demonstrated that through this method the location of damage can be accurately identified with error of less than 5% in identified damage extent. | |
publisher | ASCE | |
title | Multi-Cross-Reference Method for Highway-Bridge Damage Identification Based on Long-Gauge Fiber Bragg-Grating Sensors | |
type | Journal Paper | |
journal volume | 25 | |
journal issue | 6 | |
journal title | Journal of Bridge Engineering | |
identifier doi | 10.1061/(ASCE)BE.1943-5592.0001542 | |
page | 04020023 | |
tree | Journal of Bridge Engineering:;2020:;Volume ( 025 ):;issue: 006 | |
contenttype | Fulltext | |