Article(id=1322594833437409358, tenantId=1146029695717560320, journalId=1189873562199433220, issueId=1322594807147512718, articleNumber=null, orderNo=null, doi=10.19710/J.cnki.1003-8817.20260238, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=null, receivedDateStr=null, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1793260780915, onlineDateStr=2026-10-29, pubDate=1792425600000, pubDateStr=2026-10-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793260780915, onlineIssueDateStr=2026-10-29, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793260780915, creator=13701087609, updateTime=1793260780915, updator=13701087609, issue=Issue{id=1322594807147512718, tenantId=1146029695717560320, journalId=1189873562199433220, year='2026', volume='', issue='10', pageStart='1', pageEnd='72', issueExtLink='null', onlineDate='null', pubDate='1792425600000', pubDateStr='2026-10-20', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=1, specialIssue=null, createTime=1793260774647, creator='13701087609', updateTime=1793261345543, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1322597202086703686, tenantId=1146029695717560320, journalId=1189873562199433220, issueId=1322594807147512718, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1322597202086703687, tenantId=1146029695717560320, journalId=1189873562199433220, issueId=1322594807147512718, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=12, endPage=22, ext={EN=ArticleExt(id=1322594833609375823, articleId=1322594833437409358, tenantId=1146029695717560320, journalId=1189873562199433220, language=EN, title=Anisotropic Fracture Model Development for Extruded Aluminum Profiles and Its Application to Full-Vehicle Crash, columnId=null, journalTitle=Automobile Technology & Material, columnName=null, runingTitle=null, highlight=null, articleAbstract=

To address the significant anisotropy and complex failure behaviors exhibited by high-strength extruded aluminum alloys in vehicle crash structures, the prediction accuracy of the traditional Barlat89 criterion and the Yld2000-2d criterion based on dual linear tensor transformations is systematically investigated in crash simulation. Static and dynamic mechanical tests covering multiple stress states (pure shear, tension-shear, notched, and central-hole specimens, etc.) are conducted based on actual components, and the full-field local strain evolution responses and fracture limits of 6082-T6 aluminum profiles are obtained. To address the difficulty in direct calibration caused by measurement errors and the lack of biaxial tensile data, an inverse identification scheme based on Digital Image Correlation (DIC) and multi-load-case global optimization is proposed, by which the anisotropic parameters and the Modified Mohr-Coulomb (MMC) criterion coupled with the GISSMO damage boundary are efficiently calibrated. It is demonstrated by the verification results that the anisotropic response of the material under complex loading paths is precisely captured by the Yld2000-2d criterion. In the load cases of bumper beam drop-weight impact and full-vehicle low-speed crash, the macroscopic tearing morphology is accurately reproduced by the model, and the prediction error of critical intrusion is significantly reduced from 16.1% (with the Barlat89 criterion) to 3.9%.

, authors=Qingyang Huang, Zhigao He, Qinghu Kong, Jun Zhou, Ruidie Zhu, authorsList=Qingyang Huang, Zhigao He, Qinghu Kong, Jun Zhou, Ruidie Zhu, authorCompany=null, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1322594833970085968, articleId=1322594833437409358, tenantId=1146029695717560320, journalId=1189873562199433220, language=CN, title=挤压铝型材各向异性断裂模型开发与整车碰撞应用, columnId=1322594810385515408, journalTitle=汽车工艺与材料, columnName=2026中国汽车工程学会年会优秀论文（选登）, runingTitle=null, highlight=null, articleAbstract=

针对高强挤压铝合金在车身防撞结构中呈现的显著各向异性及复杂失效问题，系统研究了传统Barlat89准则与基于双重线性张量映射的Yld2000-2d准则在碰撞仿真中的预测精度。基于实际部件开展了涵盖多应力状态（纯剪、拉剪、缺口及穿孔等）的静、动态力学试验，获取了6082-T6铝型材的全场局部应变演化响应与断裂极限。针对实测误差及双轴拉伸数据缺失导致的直接标定难题，提出了一种基于数字图像相关法（DIC）与多工况全局寻优的逆向反演方案，实现了高效标定各向异性参数与修正莫尔-库仑准则（MMC）耦合广义增量应力状态相关损伤模型（GISSMO）损伤边界。验证结果表明，Yld2000-2d准则精准映射了材料在复杂加载路径下的各向异性响应；在防撞梁落锤冲击与整车低速碰撞工况中，该模型准确复现了宏观撕裂形貌，并将关键侵入量的预测误差由16.1%（Barlat89准则）大幅收敛至3.9%。

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黄庆洋（1996—），男，工程师，硕士学位，研究方向为材料本构与断裂模型开发。

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黄庆洋（1996—），男，工程师，硕士学位，研究方向为材料本构与断裂模型开发。

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