Diagnostics of Concrete Box Beam Bridges using Wireless Sensors and Finite Element Analysis

IF 2 Q2 ENGINEERING, MULTIDISCIPLINARY
Piervincenzo Rizzo, Alireza Enshaeian, Behzad Ghahremani
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引用次数: 0

Abstract

Abstract Three pretensioned adjacent concrete box beam bridges were studied with a structural health monitoring (SHM) paradigm based on strain measurements and finite element static analysis. An accurate model for one bridge and an approximate model for the other two were created using ANSYS software. The analysis was used to calculate the strains generated by six concentrated loads that mimic the presence of a truck. Pristine and damage scenarios were implemented, and the associated numerical strains were compared to the experimental strains measured with proprietary wireless sensors during a truck test. As the results from the approximate models revealed that the approximations did not capture the field response of the bridge, the accurate model applied to one bridge was extended to the other two. The comparison between numerical and experimental results revealed the presence of non-critical anomalies related to strain distribution across adjacent beams. Such issues were confirmed with the examination of the historical strains streamed for several months to a repository, using simple data processing strategies. The intellectual contribution of the work resides in the combination of finite element analysis and SHM paradigm on three existing bridges with very similar structural characteristics. This combination showed the limitations of approximated modeling and the possibilities to unfold critical and non-critical issues with SHM.
基于无线传感器和有限元分析的混凝土箱梁桥诊断
摘要采用基于应变测量和有限元静力分析的结构健康监测(SHM)范式对3座相邻预应力混凝土箱梁桥进行了研究。利用ANSYS软件建立了一座桥梁的精确模型和另外两座桥梁的近似模型。该分析用于计算模拟卡车存在的六个集中载荷产生的应变。在原始和损坏情况下,将相关的数值应变与在卡车测试中使用专有无线传感器测量的实验应变进行比较。由于近似模型的结果表明,近似不能反映桥梁的场响应,因此将适用于一座桥梁的精确模型推广到其他两座桥梁。数值结果与实验结果的比较表明,相邻梁之间的应变分布存在非临界异常。使用简单的数据处理策略,对几个月来流入储存库的历史菌株进行了检查,证实了这些问题。这项工作的智力贡献在于将有限元分析和SHM范式结合在三座结构特征非常相似的现有桥梁上。这种组合显示了近似建模的局限性,以及用SHM展开关键和非关键问题的可能性。
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
CiteScore
3.80
自引率
9.10%
发文量
25
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