The existing multi-objective wheel profile optimization methods mainly consist of three sub-modules:(1)wheel profile generation,(2)multi-body dynamics simulation,and(3)an optimization algorithm.For the first module,a ...The existing multi-objective wheel profile optimization methods mainly consist of three sub-modules:(1)wheel profile generation,(2)multi-body dynamics simulation,and(3)an optimization algorithm.For the first module,a comparably conservative rotary-scaling finetuning(RSFT)method,which introduces two design variables and an empirical formula,is proposed to fine-tune the traditional wheel profiles for improving their engineering applicability.For the second module,for the TRAXX locomotives serving on the Blankenburg–Rubeland line,an optimization function representing the relationship between the wheel profile and the wheel–rail wear number is established based on Kriging surrogate model(KSM).For the third module,a method combining the regression capability of KSM with the iterative computing power of particle swarm optimization(PSO)is proposed to quickly and reliably implement the task of optimizing wheel profiles.Finally,with the RSFT–KSM–PSO method,we propose two wear-resistant wheel profiles for the TRAXX locomotives serving on the Blankenburg–Rubeland line,namely S1002-S and S1002-M.The S1002-S profile minimizes the total wear number by 30%,while the S1002-M profile makes the wear distribution more uniform through a proper sacrifice of the tread wear number,and the total wear number is reduced by 21%.The quasi-static and hunting stability tests further demonstrate that the profile designed by the RSFT–KSM–PSO method is promising for practical engineering applications.展开更多
This paper develops a wheel profile fine-tuning system(WPFTS)that comprehensively considers the influence of wheel profile on wheel damage,vehicle stability,vehicle safety,and passenger comfort.WPFTS can recommend one...This paper develops a wheel profile fine-tuning system(WPFTS)that comprehensively considers the influence of wheel profile on wheel damage,vehicle stability,vehicle safety,and passenger comfort.WPFTS can recommend one or more optimized wheel profiles according to train operators’needs,e.g.,reducing wheel wear,mitigating the development of wheel out-of-roundness(OOR),improving the shape stability of the wheel profile.Specifically,WPFTS includes four modules:(I)a wheel profile generation module based on the rotary-scaling finetuning(RSFT)method;(II)a multi-objective generation module consisting of a rigid multi-body dynamics simulation(MBS)model,an analytical model,and a rigid–flexible MBS model,for generating 11 objectives related to wheel damage,vehicle stability,vehicle safety,and passenger comfort;(III)a weight assignment module consisting of an adaptive weight assignment strategy and a manual weight assignment strategy;and(IV)an optimization module based on radial basis function(RBF)and particle swarm optimization(PSO).Finally,three cases are introduced to show how WPTFS recommends a wheel profile according to train operators’needs.Among them,a wheel profile with high shape stability,a wheel profile for mitigating the development of wheel OOR,and a wheel profile considering hunting stability and derailment safety are developed,respectively.展开更多
This study focuses on the quantification of the influence of rolling stock failures(RSFs)on railway infrastructure.Taking the wheel flat,a common RSF,as an example,we introduce four quantification indexes to evaluate ...This study focuses on the quantification of the influence of rolling stock failures(RSFs)on railway infrastructure.Taking the wheel flat,a common RSF,as an example,we introduce four quantification indexes to evaluate the influence on the following four deterioration mechanisms:track settlement(TS),track component fatigue(TCF),abrasive wear(AW),and rolling contact fatigue(RCF).Our results indicate that TS,TCF,and AW increase sharply with the increase of the wheel flat length and the vehicle speed,and this increasing trend becomes more acute with the increase of the wheel flat length and the vehicle speed.At low speeds,RCF increases gradually as the wheel flat length increases;at high speeds,it increases sharply at first and then decreases gradually.The influence of the wheel flat on TCF and AW is the most obvious,followed by TS and RCF.These findings can help infrastructure managers(IMs)to better understand infrastructure conditions related to RSFs and can aid them in managing problems with vehicle abnormality in track access charging.展开更多
The original version of this article unfortunately contained a mistake.In line 6,p.785,the data“0.06”should be“6.04×10^-6”,i.e.“The results showed that among these seven failures,the occurrence probabilities...The original version of this article unfortunately contained a mistake.In line 6,p.785,the data“0.06”should be“6.04×10^-6”,i.e.“The results showed that among these seven failures,the occurrence probabilities of the wheel out-of-round and the wheel flat are the highest,both are approximately 6.04×10^-6.”展开更多
基金the Assets4Rail Project which is funded by the Shift2Rail Joint Undertaking under the EU’s H2020 program(Grant No.826250)the Open Research Fund of State Key Laboratory of Traction Power of Southwest Jiaotong University(Grant No.TPL2011)+1 种基金part of the experiment data concerning the railway line is supported by the DynoTRAIN Project,funded by European Commission(Grant No.234079)The first author is also supported by the China Scholarship Council(Grant No.201707000113).
文摘The existing multi-objective wheel profile optimization methods mainly consist of three sub-modules:(1)wheel profile generation,(2)multi-body dynamics simulation,and(3)an optimization algorithm.For the first module,a comparably conservative rotary-scaling finetuning(RSFT)method,which introduces two design variables and an empirical formula,is proposed to fine-tune the traditional wheel profiles for improving their engineering applicability.For the second module,for the TRAXX locomotives serving on the Blankenburg–Rubeland line,an optimization function representing the relationship between the wheel profile and the wheel–rail wear number is established based on Kriging surrogate model(KSM).For the third module,a method combining the regression capability of KSM with the iterative computing power of particle swarm optimization(PSO)is proposed to quickly and reliably implement the task of optimizing wheel profiles.Finally,with the RSFT–KSM–PSO method,we propose two wear-resistant wheel profiles for the TRAXX locomotives serving on the Blankenburg–Rubeland line,namely S1002-S and S1002-M.The S1002-S profile minimizes the total wear number by 30%,while the S1002-M profile makes the wear distribution more uniform through a proper sacrifice of the tread wear number,and the total wear number is reduced by 21%.The quasi-static and hunting stability tests further demonstrate that the profile designed by the RSFT–KSM–PSO method is promising for practical engineering applications.
基金This work was supported by China Scholarship Council(Grant No.201707000113).
文摘This paper develops a wheel profile fine-tuning system(WPFTS)that comprehensively considers the influence of wheel profile on wheel damage,vehicle stability,vehicle safety,and passenger comfort.WPFTS can recommend one or more optimized wheel profiles according to train operators’needs,e.g.,reducing wheel wear,mitigating the development of wheel out-of-roundness(OOR),improving the shape stability of the wheel profile.Specifically,WPFTS includes four modules:(I)a wheel profile generation module based on the rotary-scaling finetuning(RSFT)method;(II)a multi-objective generation module consisting of a rigid multi-body dynamics simulation(MBS)model,an analytical model,and a rigid–flexible MBS model,for generating 11 objectives related to wheel damage,vehicle stability,vehicle safety,and passenger comfort;(III)a weight assignment module consisting of an adaptive weight assignment strategy and a manual weight assignment strategy;and(IV)an optimization module based on radial basis function(RBF)and particle swarm optimization(PSO).Finally,three cases are introduced to show how WPTFS recommends a wheel profile according to train operators’needs.Among them,a wheel profile with high shape stability,a wheel profile for mitigating the development of wheel OOR,and a wheel profile considering hunting stability and derailment safety are developed,respectively.
基金Project supported by the Assets4Rail Project Funded by the Shift2Rail Joint Undertaking under the EU’s H2020 Program(No.826250)the China Scholarship Council(No.201707000113)。
文摘This study focuses on the quantification of the influence of rolling stock failures(RSFs)on railway infrastructure.Taking the wheel flat,a common RSF,as an example,we introduce four quantification indexes to evaluate the influence on the following four deterioration mechanisms:track settlement(TS),track component fatigue(TCF),abrasive wear(AW),and rolling contact fatigue(RCF).Our results indicate that TS,TCF,and AW increase sharply with the increase of the wheel flat length and the vehicle speed,and this increasing trend becomes more acute with the increase of the wheel flat length and the vehicle speed.At low speeds,RCF increases gradually as the wheel flat length increases;at high speeds,it increases sharply at first and then decreases gradually.The influence of the wheel flat on TCF and AW is the most obvious,followed by TS and RCF.These findings can help infrastructure managers(IMs)to better understand infrastructure conditions related to RSFs and can aid them in managing problems with vehicle abnormality in track access charging.
文摘The original version of this article unfortunately contained a mistake.In line 6,p.785,the data“0.06”should be“6.04×10^-6”,i.e.“The results showed that among these seven failures,the occurrence probabilities of the wheel out-of-round and the wheel flat are the highest,both are approximately 6.04×10^-6.”
