首页|期刊导航|华东交通大学学报|Q420qENH焊接接头腐蚀后疲劳性能研究及寿命预测

Q420qENH焊接接头腐蚀后疲劳性能研究及寿命预测OA

Study on Fatigue Performance and Life Prediction of Q420qENH Welded Joint After Corrosion

中文摘要英文摘要

为了研究Q420qENH焊接接头腐蚀后的疲劳性能,利用试验和数值模拟的方法,对Q420qENH焊接接头试件进行电解加速腐蚀后的疲劳试验,建立了热-力耦合有限元模型模拟焊接过程.基于外加残余应力场及应力集中系数,借助ABAQUS和FE-SAFE软件对焊接接头腐蚀后的疲劳寿命进行预测.结果表明:试件均在焊趾中部蚀坑处发生断裂;残余应力呈拉应力状态;随着疲劳应力幅和腐蚀时间的增加,腐蚀后试件的疲劳寿命显著下降,试验与模拟结果的相对误差均在15%以内.对试验与模拟疲劳数据拟合存活率为95%的S-N曲线,当循环次数为200万次时,试验与模拟相对误差最大为4.31%,误差较小,预测效果良好.在对铁路免涂装Q420qENH耐候钢进行桥梁设计时,建议将对接接头的疲劳容许应力幅类别调整为Ⅶ类.

To investigate the fatigue performance of Q420qENH welded joints after corrosion,electrolytic accel-erated corrosion tests and fatigue experiments were conducted on specimens,combined with numerical simula-tion.A thermal-mechanical coupled finite element model was established to simulate the welding process.The fa-tigue life of corroded welded joints was predicted using ABAQUS and FE-SAFE by introducing residual stress fields and stress concentration factors.The results show that all specimens fractured at the corrosion pits in the middle of the weld toe.Residual stress presents tensile stress,and the fatigue life of specimens decreases signifi-cantly with the increase of fatigue stress amplitude and corrosion time.The relative errors between test and simu-lation results are within 15%.The S-N curves with a 95%survival rate were fitted to the fatigue data obtained from experiments and simulations,when the cycle count reaches 2 million,the maximum error between tests and sumulations is merely 4.31%,indicating small errors and good prediction accuracy.It is recommended to ad-just the fatigue allowable stress amplitude category of butt joints for railway non-painted Q420qENH weathering steel to category Ⅶ in bridge design.

程海根;赵小波;邹鹏;龚汉隆;郑尚敏

华东交通大学土木建筑学院,江西 南昌 330013||华东交通大学山区土木工程安全与韧性全国重点实验室,江西 南昌 330013华东交通大学土木建筑学院,江西 南昌 330013华东交通大学土木建筑学院,江西 南昌 330013华东交通大学土木建筑学院,江西 南昌 330013华东交通大学土木建筑学院,江西 南昌 330013

交通工程

数值模拟腐蚀疲劳试验残余应力焊接接头

numerical simulationcorrosion fatigue testresidual stresswelded joints

《华东交通大学学报》 2026 (4)

63-73,11

国家自然科学基金项目(51968024,52168023)赣鄱俊才支持计划(20243-BCE51050)

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