{"title":"Fatigue Life Analysis of Cranes Based on Load Spectrum Prediction and Fracture Mechanics","authors":"Mantang Hu, Huanlin Chen","doi":"10.1002/nme.70129","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>A residual fatigue life analysis method based on load spectrum prediction and fracture mechanics has been proposed. In this method, a crane load sequence prediction strategy based on convolutional neural network (CNN) and bidirectional long short-term memory (BiLSTM) network is proposed to solve the problem of difficulty in obtaining accurate load spectra due to uncertain loads during the operation process in engineering practice. Moreover, a method for calculating the remaining fatigue life of structures based on a combination of fracture mechanics and sequential methods has been proposed. Compared with the linear cumulative damage theory, the influence of structural crack size and external load sequence effects on structural fatigue life is considered. In addition, the remaining fatigue life of the crane girder structure was analyzed using the above method, and the accuracy of the proposed method was verified through comparative analysis.</p>\n </div>","PeriodicalId":13699,"journal":{"name":"International Journal for Numerical Methods in Engineering","volume":"126 18","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal for Numerical Methods in Engineering","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/nme.70129","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
A residual fatigue life analysis method based on load spectrum prediction and fracture mechanics has been proposed. In this method, a crane load sequence prediction strategy based on convolutional neural network (CNN) and bidirectional long short-term memory (BiLSTM) network is proposed to solve the problem of difficulty in obtaining accurate load spectra due to uncertain loads during the operation process in engineering practice. Moreover, a method for calculating the remaining fatigue life of structures based on a combination of fracture mechanics and sequential methods has been proposed. Compared with the linear cumulative damage theory, the influence of structural crack size and external load sequence effects on structural fatigue life is considered. In addition, the remaining fatigue life of the crane girder structure was analyzed using the above method, and the accuracy of the proposed method was verified through comparative analysis.
期刊介绍：
The International Journal for Numerical Methods in Engineering publishes original papers describing significant, novel developments in numerical methods that are applicable to engineering problems.
The Journal is known for welcoming contributions in a wide range of areas in computational engineering, including computational issues in model reduction, uncertainty quantification, verification and validation, inverse analysis and stochastic methods, optimisation, element technology, solution techniques and parallel computing, damage and fracture, mechanics at micro and nano-scales, low-speed fluid dynamics, fluid-structure interaction, electromagnetics, coupled diffusion phenomena, and error estimation and mesh generation. It is emphasized that this is by no means an exhaustive list, and particularly papers on multi-scale, multi-physics or multi-disciplinary problems, and on new, emerging topics are welcome.
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