Study on the Damage Diagnosis of Ancient Wood Structure in Tianshui under Traffic Excitation

Author:

Wang Xin1ORCID,Meng Zhaobo2,Zhang Xicheng3

Affiliation:

1. School of Civil Engineering, Tianshui Normal University, Tianshui 741001, China

2. School of Architecture & Civil Engineering, Liaocheng University, Liaocheng 252000, China

3. School of Civil Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China

Abstract

Three-dimensional finite element model of the wood structure-foundation of the North House’s main hall in Tianshui under ground traffic excitation was established, and the damage of the first-floor longitudinal beam of the wood structure was simulated by the finite element method. The node acceleration response signals on beams were decomposed with a wavelet packet. The wavelet packet energy curvature difference index was proposed to determine the structural damage location. The results show that the wavelet packet energy curvature difference can decide the damage location of the middle part of the first-floor longitudinal beam, and the index value increases with the increase of damage degree. If SNR is 40 db or larger, the damage index can accurately identify the damage of ancient wooden structures. When SNR increases, the damage index will have an increasingly higher sensitivity and certain ability to resist the effect of noise. The function relation between the damage index and the damage degree is obtained to determine the structural damage degree. The study results provide a theoretical basis for the damage diagnosis of the wood structure of ancient buildings along the traffic line.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

Civil and Structural Engineering

Reference21 articles.

1. The reflection to the status and conservation of Tianshui historical residences;T. Sun;Modern Urban Studies,2008

2. Parameters for identification of wavelet packet energy spectrum for structural damage alarming;Y.-liang Ding;Journal of Southeast University (Natural Science Edition),2011

3. A combination of wavelet packet energy curvature difference and Richardson extrapolation for structural damage detection

4. The 18th-Century Baraccato of L’Aquila

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