International Journal of Damage Mechanics最新文献

Shear-sensitive failure prediction for ultra-thin steel sheets: A combined necking and fracture framework incorporating through-thickness anisotropy

IF 4.2 2区工程技术

International Journal of Damage Mechanics Pub Date : 2026-10-22 DOI: 10.1177/10567895261500976

Nan Gu, Shenghao Zhang, Wen Zhang, Xincun Zhuang

{"title":"Shear-sensitive failure prediction for ultra-thin steel sheets: A combined necking and fracture framework incorporating through-thickness anisotropy","authors":"Nan Gu, Shenghao Zhang, Wen Zhang, Xincun Zhuang","doi":"10.1177/10567895261500976","DOIUrl":"https://doi.org/10.1177/10567895261500976","url":null,"abstract":"Failure prediction of ultra-thin deep drawing steel under shear-related forming paths requires the combined assessment of localized necking and ductile fracture. In this study, 0.3 mm BDCK ultra-thin deep drawing steel was characterized by uniaxial tensile and Nakajima tests. The material exhibited weak in-plane anisotropy but pronounced through-thickness anisotropy, with an average r -value of 1.720. A hybrid experimental strategy was used to determine the necking forming limit curve and fracture forming limit curve from near-pure shear to balanced biaxial tension. The results show that localized necking and fracture act as competing failure limits, indicating that both limits should be evaluated within a unified framework. For necking prediction, an updated modified maximum force criterion model accounting for through-thickness anisotropy and shear-sensitive strain-path evolution was employed. For fracture prediction, the Hu-DFC criterion incorporating through-thickness anisotropy was adopted after comparison with DF2012. The framework was applied to a box-shaped deep drawing process. The predicted localized necking and fracture displacements showed relative errors of approximately 8.8% and 7.0%, respectively. The predicted critical region agreed with the experimental fracture location near the die shoulder radius.","PeriodicalId":13837,"journal":{"name":"International Journal of Damage Mechanics","volume":"82 1","pages":""},"PeriodicalIF":4.2,"publicationDate":"2026-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149229880","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An approach to unified fatigue life assessment of high-strength steel bolted connections 高强钢螺栓连接疲劳寿命统一评估方法

IF 4.2 2区工程技术

International Journal of Damage Mechanics Pub Date : 2026-10-19 DOI: 10.1177/10567895261500237

Wei Zhao,Weizhuo Shi,Wanzhen Wang

引用次数: 0

Generalized continuum damage mechanics: A preliminary investigation 广义连续损伤力学：初步研究

IF 4.2 2区工程技术

International Journal of Damage Mechanics Pub Date : 2026-10-19 DOI: 10.1177/10567895261500967

George Z Voyiadjis,Peter I Kattan

引用次数: 0

A dual-enhanced random forest model for fatigue life prediction under multi-level variable amplitude loading 多级变幅载荷下疲劳寿命预测的双增强随机森林模型

IF 4.2 2区工程技术

International Journal of Damage Mechanics Pub Date : 2026-10-12 DOI: 10.1177/10567895261493715

Yuhan Tang,Jiaqi Zhang,Yuedong Wang,Tao Zhang,Tao Guo

引用次数: 0

On modeling generally periodic crack arrays: Low-cost computational techniques. Edge effects. Application to evolving damage 一般周期性裂纹阵列的建模：低成本计算技术。边缘效应。演化损害的应用

IF 4.2 2区工程技术

International Journal of Damage Mechanics Pub Date : 2026-10-12 DOI: 10.1177/10567895261493006

Abdulla Abakarov,Yulia Pronina

引用次数: 0

Impact of coupling a constitutive model with the ductile fracture criterion on the computational predictability of wrought Inconel 718 耦合本构模型与韧性断裂准则对变形Inconel 718计算可预测性的影响

IF 4.2 2区工程技术

International Journal of Damage Mechanics Pub Date : 2026-10-12 DOI: 10.1177/10567895261490276

Petr Kubík,Josef Zapletal,Tomáš Návrat,František Šebek

引用次数: 0

Fatigue characterization of hybrid fibre-reinforced concrete: S-N curve development, Weibull reliability modelling, and effect of variable amplitude loading 混杂纤维增强混凝土的疲劳特性：S-N曲线发展、威布尔可靠性模型和变幅荷载的影响

IF 4.2 2区工程技术

International Journal of Damage Mechanics Pub Date : 2026-10-12 DOI: 10.1177/10567895261493708

Shruthi Bastikoppa Sathish,Palanisamy Thangaraju

引用次数: 0

Evolutionary response of unloading-induced fractures under different stress paths: Insights from Beishan granite 不同应力路径下卸荷裂缝的演化响应：来自北山花岗岩的启示

IF 4.2 2区工程技术

International Journal of Damage Mechanics Pub Date : 2026-10-12 DOI: 10.1177/10567895261494763

Yizhang Yang,Hui Lu,Bo Wang,Dengke Zhang,Shikun Pu,Zhen Zhou,Zhixiao Bai,Hongsu Ma,Yang Han,Erbing Li

引用次数: 0

Failure analysis of a service-degraded gas turbine combustor liner: A metallurgical evaluation 服役退化燃气轮机燃烧室衬套失效分析：冶金学评价

IF 4.2 2区工程技术

International Journal of Damage Mechanics Pub Date : 2026-10-12 DOI: 10.1177/10567895261490368

Yazdan Shajari,Hannaneh Nuri Asri,Hesamedin Ayati,Zahra-Sadat Seyedraoufi,Mostafa Ebrahimi,Mohammad Reza Gorji,Seyed Hossein Razavi

引用次数: 0

Digital twin-driven cross-domain damage identification for experimental cable-stayed bridge models under sparse sensing 稀疏感知下斜拉桥实验模型双驱动跨域损伤识别

IF 4.2 2区工程技术

International Journal of Damage Mechanics Pub Date : 2026-10-08 DOI: 10.1177/10567895261492160

Naiwei Lu, Jian Cui, Yuan Luo, Michael Beer

{"title":"Digital twin-driven cross-domain damage identification for experimental cable-stayed bridge models under sparse sensing","authors":"Naiwei Lu, Jian Cui, Yuan Luo, Michael Beer","doi":"10.1177/10567895261492160","DOIUrl":"https://doi.org/10.1177/10567895261492160","url":null,"abstract":"Reliable damage identification is paramount to structural integrity and operational safety of infrastructure. However, conventional structural health monitoring (SHM) methods often encounter implementation bottlenecks, primarily constrained by data labeling and the inherent discrepancy between numerical and physical responses. This study presents a novel digital twin-driven framework for structural damage identification using cross-domain feature adaptation. A residual network was trained on extensive simulated damage states, and the transfer learning was utilized to extract domain-invariant features across both numerical and experimental domains. This hybrid strategy integrates data-driven modeling and adaptive transfer learning to effectively bridge the gap in cross-domain generalization. An experimental study on a scaled experimental cable-stayed bridge was conducted to demonstrate the efficacy of the proposed framework in mitigating domain-shift challenges. Notably, it achieves 90.9% accuracy with sparse training sets, while simultaneously yielding a significant decrease in computational overhead. By contrast, the target only training strategy and the partial transfer strategy without domain alignment achieved accuracies of 83.1% and 73.4%, respectively. In addition, comparisons with GoogLeNet and AlexNet networks further validate the superior performance and robustness of the proposed framework in cross-domain damage identification tasks.","PeriodicalId":13837,"journal":{"name":"International Journal of Damage Mechanics","volume":"36 1","pages":""},"PeriodicalIF":4.2,"publicationDate":"2026-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149130443","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0