Damage identification in RC bridges by confronting two approaches: visual inspection and numerical analysis

IF 1.2 Q4 MATERIALS SCIENCE, MULTIDISCIPLINARY Frattura ed Integrita Strutturale Pub Date : 2023-03-21 DOI:10.3221/igf-esis.64.05
Mohammed Ayad, N. Boumechra, K. Hamdaoui
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引用次数: 0

Abstract

The present article aims to summarize the research study that was conducted the efficiency of methods and techniques designed for the detection and localization of faults in civil engineering structures, particularly in bridge structures. The diagnosis of a real reinforced concrete bridge by a visual inspection is presented. Then, three numerical damage detection and localization methods, namely the eigenfrequency change method, the eigenstrain change method (Coordinate Modal Assurance Criterion – CO-MAC), and the strain energy change method, are explicitly presented. Furthermore, the modeling of the bridge, before and after damage, using the Ansys software was carried out in order to identify all possible bridge defects. Afterward, the numerical results are graphically represented using the above mentioned methods. This made it possible to confirm the initial diagnosis and hence assess the damages observed on site and also in other zones.
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混凝土桥梁损伤识别主要采用目测和数值分析两种方法
本文旨在总结土木工程结构,特别是桥梁结构中故障检测和定位的方法和技术的有效性。介绍了用目测法对一座实际钢筋混凝土桥梁进行诊断的方法。然后,明确提出了三种数值损伤检测与定位方法,即特征频率变化法、特征应变变化法(坐标模态保证准则- CO-MAC)和应变能变化法。此外,利用Ansys软件对桥梁进行了损伤前后的建模,以识别所有可能的桥梁缺陷。然后,用上述方法对数值结果进行了图形化表示。这使得确认初步诊断成为可能,从而评估在现场和其他区域观察到的损害。
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来源期刊
Frattura ed Integrita Strutturale
Frattura ed Integrita Strutturale Engineering-Mechanical Engineering
CiteScore
3.40
自引率
0.00%
发文量
114
审稿时长
6 weeks
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