三峡大学学报（自然科学版）2024，Vol.46Issue(1)：23-29,7.DOI:10.13393/j.cnki.issn.1672-948X.2024.01.004
基于XFEM的大体积结构波动传播规律及裂纹反演方法
Wave Propagation and Crack Detection Method for Massive Structures Based on XFEM
摘要
Abstract
Massive concrete structures are widely used in major engineering projects such as civil engineering and water conservancy.The low tensile strength of concrete determines its susceptibility to cracking.Therefore,it is necessary to develop efficient detection methods to identify crack information in massive concrete structures.The paper proposes a new method to extract amplitude features of specific frequencies in the response signal spectrum,and establish a mapping relationship between amplitude features and crack information based on BP artificial neural network,thereby effectively identifying crack information.Firstly,the eXtended Finite Element Methods(XFEM)and artificial absorbing boundary layer models were used to simulate the response of specific position sensors under a large amount of different crack information,in the case of single and double cracks,respectively.Then,the spectral curves were analyzed and features were extracted.Finally,a dataset of spectral features and crack tip positions was established to train the artificial neural network.The inversion results of the test set showed that this method has high accuracy,which can effectively identify crack information.关键词
大体积结构/裂纹反演/频域特征/神经网络/扩展有限元法/吸收边界层Key words
massive structures/crack detection/frequency domain features/neural network/extended finite element methods/absorbing boundary layer分类
建筑与水利引用本文复制引用
卢皓卓,江守燕..基于XFEM的大体积结构波动传播规律及裂纹反演方法[J].三峡大学学报（自然科学版）,2024,46(1):23-29,7.基金项目
国家自然科学基金项目(52279130) （52279130）
中国地球物理学会工程物探检测重点实验室开放研究基金项目(CJ2021GE06) （CJ2021GE06）
