Detection of subsurface voids in concrete-filled steel tubular (CFST) structure using percussion approach
Detection of subsurface voids in concrete-filled steel tubular (CFST) structure using percussion approach
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DOI：
10.1016/j.conbuildmat.2020.119761
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发表时间：
2020-11-30
影响因子：
7.4
通讯作者：
Song, Gangbing
中科院分区：
文献类型：
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作者：
Chen, Dongdong;Montano, Victor;Song, Gangbing
钢管混凝土结构是许多土木工程结构中必不可少的承重构件。在钢管混凝土结构中，混凝土与钢接触面之间的地下空洞降低了钢管混凝土结构的承载能力。本文提出了一种新的、非破坏性的、基于冲击的方法来检测CFST结构中的地下空洞。在我们的方法中，我们利用了有和没有地下空洞的表面撞击产生的对比声音。记录了非空洞带和空洞带的冲击声信号。通过分析打击声的功率谱密度（PSD），可以提取出9个特征。我们在实验中制作了两个标本（A和B）。将从A试样中提取的声音信号特征作为数据库，用于训练和测试支持向量机（SVM）模型。然后，将训练好的SVM应用于试件B，确定混凝土芯与外钢管之间是否存在空隙。实验结果表明，该方法的预测精度为94.17%。因此，基于冲击的方法是一种简单、高效、准确的检测孔洞缺陷的方法。(C) 2020由Elsevier Ltd.出版。
Concrete-filled steel tubular (CFST) structures are essential load-bearing components in many civil engineering structures. Subsurface voids between the contacting surface of the concrete and steel in a CFST structure reduce the load-bearing capacity of the CFST structure. This paper presents a novel, non-destructive, percussion-based approach to detect subsurface voids in CFST structures. In our approach, we exploit the contrasting sound produced by the percussion of surfaces with and without subsurface voids. Percussive acoustic signals in non-void and void zones are recorded. By analyzing the power spectrum density (PSD) of the percussion sound, nine features can be extracted. Two specimens (A and B) were fabricated in our experiment. The features of the sound signal extracted from the specimen A are used as the database for training and testing the support vector machine (SVM) model. Then, the trained SVM is applied to specimen B to determine whether or not a void between the concrete core and the outer steel tube exists. The experimental results show that the prediction precision is 94.17%. Therefore, the percussion-based approach is a simple, efficient, and accurate method to detect the void defects. (C) 2020 Published by Elsevier Ltd.