Aluminum Alloy Fatigue Crack Damage Prediction Based on Lamb Wave-Systematic Resampling Particle Filter Method

Q2 Engineering

SDHM Structural Durability and Health Monitoring Pub Date : 2022-01-01 DOI:10.32604/sdhm.2022.016905

Gaozheng Zhao, Chang Liu, L. Sun, Ning Yang, Lei Zhang, Mingshun Jiang, L. Jia, Q. Sui

引用次数: 0

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基于Lamb波-系统重采样粒子滤波法的铝合金疲劳裂纹损伤预测

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

SDHM Structural Durability and Health Monitoring Engineering-Building and Construction

CiteScore

2.40

自引率

0.00%

发文量

期刊介绍： In order to maintain a reasonable cost for large scale structures such as airframes, offshore structures, nuclear plants etc., it is generally accepted that improved methods for structural integrity and durability assessment are required. Structural Health Monitoring (SHM) had emerged as an active area of research for fatigue life and damage accumulation prognostics. This is important for design and maintains of new and ageing structures.