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基于声发射信号能量特征的Q690D失效特性及分析方法研究

Research on failure properties and analysis methods of Q690D based on energy characteristics of AE signal.

作者信息

Zhai Jinjin, Sun Yuantao, Li Yingcheng, Zhang Qing, Chang Xiaoqing

机构信息

School of Mechanical Engineering, Tongji University, Shanghai, China.

Shanghai Special Equipment Supervision and Inspection Institute, Shanghai, China.

出版信息

Sci Rep. 2025 Apr 9;15(1):12203. doi: 10.1038/s41598-025-96799-6.

DOI:10.1038/s41598-025-96799-6
PMID:40204834
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11982529/
Abstract

The bearing properties of high-strength steel (HSS) structures determine their safety, and the energy conversion and mechanical state evolution during their failure process are closely related. Therefore, determining the corresponding relationship between micro failure characteristics and macro mechanical state changes is of great significance for structural safety monitoring. In this paper, the acoustic-mechanical energy characteristic relationship during the tensile failure process of Q690 HSS is studied based on acoustic emission (AE) technology. The distribution law of characteristic parameters of AE signals during the Q690D tensile test is analyzed based on the AE mechanism, and the energy conversion characteristics of Q690 HSS failure process are determined from time- and space-dimension through the AE energy parameter. Besides, based on the mechanical state of the specimens during the loading process, combined with strain signals and finite element analysis, the failure process was divided into multiple intervals. Finally, a comparative analysis was conducted to obtain the relationship and variation rules between the macroscopic mechanical state changes and acoustic characteristics, which provides a reference for the application of AE energy signals in the state monitoring of Q690 structures.

摘要

高强度钢(HSS)结构的承载特性决定了其安全性,并且在其失效过程中的能量转换和力学状态演变密切相关。因此,确定微观失效特征与宏观力学状态变化之间的对应关系对于结构安全监测具有重要意义。本文基于声发射(AE)技术研究了Q690高强度钢拉伸失效过程中的声 - 机械能特性关系。基于声发射机理分析了Q690D拉伸试验过程中声发射信号特征参数的分布规律,并通过声发射能量参数从时间和空间维度确定了Q690高强度钢失效过程的能量转换特性。此外,基于加载过程中试件的力学状态,结合应变信号和有限元分析,将失效过程划分为多个区间。最后进行对比分析,得到宏观力学状态变化与声学特征之间的关系及变化规律,为声发射能量信号在Q690结构状态监测中的应用提供参考。

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本文引用的文献

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Ultrasonics. 2022 Aug;124:106762. doi: 10.1016/j.ultras.2022.106762. Epub 2022 May 14.