杨旭锋 - 西南交通大学 - 机械工程学院

个人简介

教师简介受教育经历 2007.09-2011.06西北工业大学力学与土木建筑学院工程力学专业（本科） 2011.09-2016.06西北工业大学工程力学系力学专业（博士）教学经历《车辆有限元法》近年承担的主要科研项目 1.国家自然科学基金项目，小概率失效下基于主动学习Kriging模型的可靠性分析方法研究（国家级） 2.其他，基于子集模拟方法的转向架构架振动疲劳寿命可靠性分析（地市级）招生专业招生类型学院专业代码专业名称专业类型专业方向硕士机械080204车辆工程学术型02.轨道车辆动力学结构强度及可靠性硕士机械080204车辆工程学术型05.轨道车辆服役性能招生要求（1）具有力学、机械的基本专业素养（2）耐得住性子，刻苦钻研，勇于创新。

研究领域

结构、机构可靠性分析与优化设计轨道车辆有限元结构振动与疲劳

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

第一作者发表SCI论文12篇。 (1)XufengYang,YongshouLiu,YiGao,YishangZhang,ZongzhanGao.AnactivelearningKrigingmodelforhybridreliabilityanalysiswithbothrandomandintervalvariables.StructuralandMultidisciplinaryOptimization2015;51:1003-1016.(SCI检索，中科院JCR2区) (2)XufengYang,YongshouLiu,YishangZhang,ZongzhanGao.ProbabilityandconvexsethybridreliabilityanalysisbasedonactivelearningKrigingmodel.AppliedMathematicalModelling2015;39:3954-3971.(SCI检索，中科院JCR1区) (3)XufengYang,YongshouLiu,YiGao,YishangZhang.UnifiedreliabilityanalysisbyactivelearningKrigingmodelcombiningwithrandom-setbasedMonteCarlosimulationmethod.InternationalJournalforNumericalMethodsinEngineering2016;108:1343-1361.(SCI检索，中科院JCR2区) (4)XufengYang,YongshouLiu,YishangZhang.Discussionof“Reliability-baseddesignoptimizationwithdependentintervalvariables”byXiaopingDu,InternationalJournalforNumericalMethodsinEngineering2012;91:218-228.InternationalJournalforNumericalMethodsinEngineering2014;99:542-544.(SCI检索，中科院JCR2区) (5)XufengYang,YongshouLiu,CaiyingMi,ChenghuTang.SystemreliabilityanalysisthroughactivelearningKrigingmodelwithtruncatedcandidateregion.ReliabilityEngineering&SystemSafety.2018;169:235-241.(SCI检索，中科院JCR2区) (6)XufengYang,YongshouLiu,YishangZhang,ZhufengYue.Hybridreliabilityanalysiswithbothrandomandprobability-boxvariables.ActaMechanica2015;226:1341-1357.(SCI检索，中科院JCR3区) (7)XufengYang,YongshouLiu,PankeMa.Structuralreliabilityanalysisunderevidencetheoryusingtheactivelearningkrigingmodel.EngineeringOptimization2017;49:1922-1938.(SCI检索，中科院JCR3区) (8)XufengYang*,YongshouLiu.EstimationoflowfailureprobabilitybasedonactivelearningKrigingmodelwithaconcentricringapproachingstrategy.StructuralandmultidisciplinaryOptimization2018;58:1175-1186.(SCI检索，中科院JCR2区) (9)XufengYang*,YongshouLiu,CaiyingMi.ActiveLearningKrigingModelCombiningwithKernel-Density-Estimation-BasedImportanceSamplingMethodfortheEstimationofLowFailureProbability.JournalofMechanicalDesign2018;140(5):051402.(SCI检索，中科院JCR2区) (10)Yang,X*,Wang,T,Li,J,Chen,Z.Boundsapproximationoflimit‐statesurfacebasedonactivelearni