In the realm of high-speed railway bridge engineering,managing the intricacies of the track-bridge system model(TBSM)during seismic events remains a formidable challenge.This study pioneers an innovative approach by p...In the realm of high-speed railway bridge engineering,managing the intricacies of the track-bridge system model(TBSM)during seismic events remains a formidable challenge.This study pioneers an innovative approach by presenting a simplified bridge model(SBM)optimized for both computational efficiency and precise representation,a seminal contribution to the engineering design landscape.Central to this innovation is a novel model-updating methodology that synergistically melds artificial neural networks with an augmented particle swarm optimization.The neural networks adeptly map update parameters to seismic responses,while enhancements to the particle swarm algorithm’s inertial and learning weights lead to superior SBM parameter updates.Verification via a 4-span high-speed railway bridge revealed that the optimized SBM and TBSM exhibit a highly consistent structural natural period and seismic response,with errors controlled within 7%.Additionally,the computational efficiency improved by over 100%.Leveraging the peak displacement and shear force residuals from the seismic TBSM and SBM as optimization objectives,SBM parameters are adeptly revised.Furthermore,the incorporation of elastoplastic springs at the beam ends of the simplified model effectively captures the additional mass,stiffness,and constraint effects exerted by the track system on the bridge structure.展开更多
研究目的:深圳地铁6号线是首条全高架采用"U型梁+减振垫浮置板轨道"系统的地铁快线,为检验是否存在系统共振,考察行车安全性指标和桥梁结构振动情况,本文通过建立车-轨-桥耦合动力学模型,对系统固有频率以及车辆、轨道、桥梁...研究目的:深圳地铁6号线是首条全高架采用"U型梁+减振垫浮置板轨道"系统的地铁快线,为检验是否存在系统共振,考察行车安全性指标和桥梁结构振动情况,本文通过建立车-轨-桥耦合动力学模型,对系统固有频率以及车辆、轨道、桥梁动力特性进行研究,以期指导深圳地铁6号线桥梁、轨道结构设计实践。研究结论:(1) U型梁与减振垫浮置板轨道自振频率相差较大,二者发生低阶共振的可能性较小;(2) U型梁上采用减振垫浮置板轨道以后,行车安全性指标、轨道及桥梁动力学指标均满足规范要求;(3)减振垫浮置板轨道系统可降低桥梁结构振动5～8 d B;(4)本文所采用的系统动力检算方法,既验证了"U型梁+减振垫浮置板轨道"设计方案的合理性,同时也对国内地铁高架线减振设计具有一定的指导意义。展开更多
基金Project(2022YFC3004304)supported by the National Key Research and Development Program of ChinaProjects(52078487,U1934207,52178180)supported by the National Natural Science Foundation of China+2 种基金Project(2022TJ-Y10)supported by the Hunan Province Science and Technology Talent Lifting Project,ChinaProject(2023QYJC006)supported by the Frontier Cross Research Project of Central South University,ChinaProject(SKL-IoTSC(UM)-2024-2026/ORP/GA08/2023)supported by the Science and Technology Development Fund and the State Key Laboratory of Internet of Things for Smart City(University of Macao),China。
文摘In the realm of high-speed railway bridge engineering,managing the intricacies of the track-bridge system model(TBSM)during seismic events remains a formidable challenge.This study pioneers an innovative approach by presenting a simplified bridge model(SBM)optimized for both computational efficiency and precise representation,a seminal contribution to the engineering design landscape.Central to this innovation is a novel model-updating methodology that synergistically melds artificial neural networks with an augmented particle swarm optimization.The neural networks adeptly map update parameters to seismic responses,while enhancements to the particle swarm algorithm’s inertial and learning weights lead to superior SBM parameter updates.Verification via a 4-span high-speed railway bridge revealed that the optimized SBM and TBSM exhibit a highly consistent structural natural period and seismic response,with errors controlled within 7%.Additionally,the computational efficiency improved by over 100%.Leveraging the peak displacement and shear force residuals from the seismic TBSM and SBM as optimization objectives,SBM parameters are adeptly revised.Furthermore,the incorporation of elastoplastic springs at the beam ends of the simplified model effectively captures the additional mass,stiffness,and constraint effects exerted by the track system on the bridge structure.
文摘研究目的:深圳地铁6号线是首条全高架采用"U型梁+减振垫浮置板轨道"系统的地铁快线,为检验是否存在系统共振,考察行车安全性指标和桥梁结构振动情况,本文通过建立车-轨-桥耦合动力学模型,对系统固有频率以及车辆、轨道、桥梁动力特性进行研究,以期指导深圳地铁6号线桥梁、轨道结构设计实践。研究结论:(1) U型梁与减振垫浮置板轨道自振频率相差较大,二者发生低阶共振的可能性较小;(2) U型梁上采用减振垫浮置板轨道以后,行车安全性指标、轨道及桥梁动力学指标均满足规范要求;(3)减振垫浮置板轨道系统可降低桥梁结构振动5～8 d B;(4)本文所采用的系统动力检算方法,既验证了"U型梁+减振垫浮置板轨道"设计方案的合理性,同时也对国内地铁高架线减振设计具有一定的指导意义。
