超高斯列车随机振动荷载的模拟方法
详细信息 查看官网全文
- 英文论文题名：Simulation of Super Gaussian Load Due to Train Stochastic Vibration
- 论文作者：杨睿 ; 周晓军
- 英文论文作者：YANG Rui ; Zhou Xiaojun ; School of Civil Engineering ; MOE Key Laboratory of Transportation Tunnel Engineering ; Southwest Jiaotong University
- 年：2016
- 作者机构：西南交通大学土木工程学院西南交通大学交通隧道工程教育部重点实验室;
- 论文关键词：超高斯振动荷载 ; 功率谱密度 ; 频响函数 ; 幅值调制 ; 相位重构
- 英文论文关键词：Super-Gaussian vibration load ; Power spectral density ; Frequency response function ; Amplitude modulation ; Phase reconstruction
- 会议召开时间：2016-10-24
- 会议录名称：2016中国隧道与地下工程大会（CTUC）暨中国土木工程学会隧道及地下工程分会第十九届年会论文集
- 语种：中文
- 分类号：U211.3;U451.3
- 学会代码：OGTY
- 会议名称：2016中国隧道与地下工程大会（CTUC）暨中国土木工程学会隧道及地下工程分会第十九届年会
- 会议地点：中国四川成都
- 主办单位：中国土木工程学会隧道及地下工程分会
- 学会名称：中国土木工程学会
- 页数：7
- 文件大小：988k
- 原文格式：O
- 会议级别：全国
摘要
在列车行驶过程中因冲击作用会产生高峰值超高斯特征的振动荷载。而以往对列车荷载的模拟近似为高斯随机过程,其与实际相比误差较大。为此,本文根据轨道不平顺功率谱密度函数引入频响函数,用傅里叶逆变换得到高斯随机振动荷载,然后采用改进的幅值调制和相位重构法得到既满足指定特征统计函数又能与频谱特性相吻合的超高斯列车随机振动荷载,并通过数值计算验证了该方法的有效性、适用性和精确性。
Running trains normally produce super-Gaussian vibration load which exceeds the peak value due to impact.In the past,the simulation of train load is regarded as approximate Gaussian random process,which incurs greater errors in comparison to actual load.Aiming at this problem,Fourier inverse transform is employed to get Gaussian random load by introducing track irregularity power spectra and frequency response function,then improved amplitude modulation and phase reconstruction method are also introduced to derive super-Gaussian random vibration which satisfies specified statistical functions and frequency spectral characteristics.The method is more intuitive,faster and higher in enhancing simulation precision.Moreover,the full use of fast Fourier transform in the process of numerical calculation is utilized to improve the efficiency of simulation.Finally the effectiveness,applicability and accuracy of the proposed method are verified using numerical simulation.
Running trains normally produce super-Gaussian vibration load which exceeds the peak value due to impact.In the past,the simulation of train load is regarded as approximate Gaussian random process,which incurs greater errors in comparison to actual load.Aiming at this problem,Fourier inverse transform is employed to get Gaussian random load by introducing track irregularity power spectra and frequency response function,then improved amplitude modulation and phase reconstruction method are also introduced to derive super-Gaussian random vibration which satisfies specified statistical functions and frequency spectral characteristics.The method is more intuitive,faster and higher in enhancing simulation precision.Moreover,the full use of fast Fourier transform in the process of numerical calculation is utilized to improve the efficiency of simulation.Finally the effectiveness,applicability and accuracy of the proposed method are verified using numerical simulation.
引文
[1]李德武.列车振动荷载的数定分析[J].甘肃科学学报,1998,10(2):25-29.LI Dewu.A deterministic analysis of dynamic train load[J].Journal of Gansu Sciences.1998,10(2):25-29.
[2]梁波,罗红,孙常新.高速铁路振动荷载的模拟研究[J].铁道学报,2006,28(4):89-94.LIANG Bo,LUO Hong,SUN Changxin.Simulated study on vibration load of high speed railway[J].Journal of the China Railway Society.2006,28(4):89-94.
[3]冯军和,闫维明.列车随机激振荷载的数值模拟[J].振动与冲击,2008,27(2):49-52.FENG junhe,YAN Weiming.Numerical simulation for train stochastic vibration loads.Vibration and Shock.2008,27(2):49-52.
[4]罗林,张格明,吴旺青,柴雪松.轮轨系统平顺状态的控制[M].北京:中国铁道出版社,2006.LUO Lin,ZHANG Geming,WU Wangqing,CHAI Xuesong.Control of Track and Wheel system[M]Beijing:China Railway Press,2006.
[5]王得志,蒋瑜,陈循,毛朝.基于MSC的非高斯随机振动疲劳仿真研究[J].武汉理工大学学报,2010,32(9):52-55.WANG Dezhi,JIANG Yu,CHENG Xun,MAO Chao.Research on MSC-based fatigue simulation under non-Gaussian random viration[J].Journal of Wuhan University of Technology,2010,32(9):52-55.
[6]李锦华,陈水生.非高斯随机过程模拟与预测的研究进展[J].华东交通大学学报,2011,28(6):1-6.LI Jinhua,CHEN Shuisheng.Advances in Simulation and Prediction of Non-Gaussian Stochastic Processes.Journal of East China Jiaotong University,2010,32(9):52-55.
[7]蒋瑜.频谱可控的超高斯随机振动环境模拟技术及其应用研究[D].长沙:国防科技大学,2005.JIANG Yu.Simulation of controllable frequency spectrum in super-Gaussian stochastic vibration environment and its application[D].Changsha:National Defense University of Science and Technology,2005.
[8]蒋瑜,陶俊勇,王得志,陈循.一种新的高斯随机振动数值模拟方法[J].振动与冲击,2012,31(19):170-173.JIANG Yu,Tao Junyong,Wang Dezhi,Chen Xun.A new approach for numerical simulation of Gaussian stochastic vibration[J].Vibration and Shock.2012,31(19):170-173.
[9]陈果,翟婉明.铁路轨道不平顺随机过程的数值模拟[J].西南交通大学学报,1999,(2):138-142.CHEN Guo,ZHAI Wanming.Numerical Simulation of the Stochastic Processof Railway Track Irregularities[J].Journal of Southwest Jiaotong University,1999,(2):138-142.
[2]梁波,罗红,孙常新.高速铁路振动荷载的模拟研究[J].铁道学报,2006,28(4):89-94.LIANG Bo,LUO Hong,SUN Changxin.Simulated study on vibration load of high speed railway[J].Journal of the China Railway Society.2006,28(4):89-94.
[3]冯军和,闫维明.列车随机激振荷载的数值模拟[J].振动与冲击,2008,27(2):49-52.FENG junhe,YAN Weiming.Numerical simulation for train stochastic vibration loads.Vibration and Shock.2008,27(2):49-52.
[4]罗林,张格明,吴旺青,柴雪松.轮轨系统平顺状态的控制[M].北京:中国铁道出版社,2006.LUO Lin,ZHANG Geming,WU Wangqing,CHAI Xuesong.Control of Track and Wheel system[M]Beijing:China Railway Press,2006.
[5]王得志,蒋瑜,陈循,毛朝.基于MSC的非高斯随机振动疲劳仿真研究[J].武汉理工大学学报,2010,32(9):52-55.WANG Dezhi,JIANG Yu,CHENG Xun,MAO Chao.Research on MSC-based fatigue simulation under non-Gaussian random viration[J].Journal of Wuhan University of Technology,2010,32(9):52-55.
[6]李锦华,陈水生.非高斯随机过程模拟与预测的研究进展[J].华东交通大学学报,2011,28(6):1-6.LI Jinhua,CHEN Shuisheng.Advances in Simulation and Prediction of Non-Gaussian Stochastic Processes.Journal of East China Jiaotong University,2010,32(9):52-55.
[7]蒋瑜.频谱可控的超高斯随机振动环境模拟技术及其应用研究[D].长沙:国防科技大学,2005.JIANG Yu.Simulation of controllable frequency spectrum in super-Gaussian stochastic vibration environment and its application[D].Changsha:National Defense University of Science and Technology,2005.
[8]蒋瑜,陶俊勇,王得志,陈循.一种新的高斯随机振动数值模拟方法[J].振动与冲击,2012,31(19):170-173.JIANG Yu,Tao Junyong,Wang Dezhi,Chen Xun.A new approach for numerical simulation of Gaussian stochastic vibration[J].Vibration and Shock.2012,31(19):170-173.
[9]陈果,翟婉明.铁路轨道不平顺随机过程的数值模拟[J].西南交通大学学报,1999,(2):138-142.CHEN Guo,ZHAI Wanming.Numerical Simulation of the Stochastic Processof Railway Track Irregularities[J].Journal of Southwest Jiaotong University,1999,(2):138-142.