Statistical Energy Analysis(SEA) is one of the conventional tools for predicting vehicle high-frequency acoustic responses.This study proposes a new method that can provide customized optimization solutions to meet NV...Statistical Energy Analysis(SEA) is one of the conventional tools for predicting vehicle high-frequency acoustic responses.This study proposes a new method that can provide customized optimization solutions to meet NVH targets based on the specific needs of different project teams during the initial project stages.This approach innovatively integrates dynamic optimization,Radial Basis Function(RBF),and Fuzzy Design Variables Genetic Algorithm(FDVGA) into the optimization process of Statistical Energy Analysis(SEA),and also takes vehicle sheet metal into account in the optimization of sound packages.In the implementation process,a correlation model is established through Python scripts to link material density with acoustic parameters,weight,and cost.By combining Optimus and VaOne software,an optimization design workflow is constructed and the optimization design process is successfully executed.Under various constraints related to acoustic performance,weight and cost,a globally optimal design is achieved.This technology has been effectively applied in the field of Battery Electric Vehicle(BEV).展开更多
Statistical Energy Analysis(SEA)is a well-known method to analyze the flow of acoustic and vibration energy in a complex structure.This study investigates the application of the corrected SEA model in a non-reverberan...Statistical Energy Analysis(SEA)is a well-known method to analyze the flow of acoustic and vibration energy in a complex structure.This study investigates the application of the corrected SEA model in a non-reverberant acoustic space where the direct field component from the sound source dominates the total sound field rather than a diffuse field in a reverberant space which the classical SEA model assumption is based on.A corrected SEA model is proposed where the direct field component in the energy is removed and the power injected in the subsystem considers only the remaining power after the loss at first reflection.Measurement was conducted in a box divided into two rooms separated by a partition with an opening where the condition of reverberant and non-reverberant can conveniently be controlled.In the case of a non-reverberant space where acoustic material was installed inside the wall of the experimental box,the signals are corrected by eliminating the direct field component in the measured impulse response.Using the corrected SEA model,comparison of the coupling loss factor(CLF)and damping loss factor(DLF)with the theory shows good agreement.展开更多
In order to improve the mass efficiency of an automotive soundproof package, it is important to predict the middle to high frequency range of noise and vibration during vehicle operation. A hybrid method of experiment...In order to improve the mass efficiency of an automotive soundproof package, it is important to predict the middle to high frequency range of noise and vibration during vehicle operation. A hybrid method of experimental and analytical SEA （statistical energy analysis） has been applied for the prediction of air-borne noise. However, for predicting structure-borne noise, there are no definitive simulation methods that can address the soundproof specifications in an actual vehicle. Thus, in this paper, a FEM （finite element method）＇SEA hybrid method is used. The FEM＇SEA hybrid method predicts structure-borne noise in the middle to high frequency range. First, we explain the basic concept of the FEM＇SEA hybrid method; Second, we describe our experiment to verify the analytical results of the FEM＇SEA hybrid method; Third, we provide the details of the FEM model versus the FEM＇SEA hybrid model; Finally, we verify the validity and availability of the FEM＇SEA hybrid method through comparisons of the FEM analysis results, FEM-SEA analysis results and measured results.展开更多
A detailed understanding of the distribution and potential of natural gas hydrate(NGHs)resources is crucial to fostering the industrialization of those resources in the South China Sea,where NGHs are abundant.In this ...A detailed understanding of the distribution and potential of natural gas hydrate(NGHs)resources is crucial to fostering the industrialization of those resources in the South China Sea,where NGHs are abundant.In this study,this study analyzed the applicability of resource evaluation methods,including the volumetric,genesis,and analogy methods,and estimated NGHs resource potential in the South China Sea by using scientific resource evaluation methods based on the factors controlling the geological accumulation and the reservoir characteristics of NGHs.Furthermore,this study compared the evaluation results of NGHs resource evaluations in representative worldwise sea areas via rational analysis.The results of this study are as follows:(1)The gas hydrate accumulation in the South China Sea is characterized by multiple sources of gas supply,multi-channel migration,and extensive accumulation,which are significantly different from those of oil and gas and other unconventional resources.(2)The evaluation of gas hydrate resources in the South China Sea is a highly targeted,stratified,and multidisciplinary evaluation of geological resources under the framework of a multi-type gas hydrate resource evaluation system and focuses on the comprehensive utilization of multi-source heterogeneous data.(3)Global NGHs resources is n×10^(15)m^(3),while the NGHs resources in the South China Sea are estimated to be 10^(13)m^(3),which is comparable to the abundance of typical marine NGHs deposits in other parts of the world.In the South China Sea,the NGHs resources have a broad prospect and provide a substantial resource base for production tests and industrialization of NGHs.展开更多
为了对空间光学遥感器进行冲击响应预测,提出了一种基于统计能量分析(Statistical Energy Analysis,SEA)原理的新方法;基于稳态SEA推导了瞬态SEA的能量流平衡方程,结合虚拟模态综合与仿真方法(Virtual Mode Synthesis and Simulation,VM...为了对空间光学遥感器进行冲击响应预测,提出了一种基于统计能量分析(Statistical Energy Analysis,SEA)原理的新方法;基于稳态SEA推导了瞬态SEA的能量流平衡方程,结合虚拟模态综合与仿真方法(Virtual Mode Synthesis and Simulation,VMSS)和SEA方法进行空间光学遥感器的冲击响应预测;首先根据SEA原理,建立了典型空间光学遥感器的简化SEA模型,采用理论计算和试验测试的方法,得到了该模型各子系统的模态密度、内损耗因子、耦合损耗因子;在火工品附近安装冲击加速度传感器,点火起爆,测得冲击加速度时域曲线,以该测试数据为分析模型的输入,基于SEA方法进行冲击响应分析,得到反射镜子系统、遮光罩子系统、载荷板子系统的冲击响应谱曲线,该曲线与试验数据比对表明,在低频段由于模态密度较低,预测精度较差,在高频段其一致性小于4d B,从而验证了该方法在结构高频冲击响应预测的有效性。展开更多
关于整车车内噪声的仿真分析方法,在理论上,FEM/BEM方法可以进行全频段的仿真,但由于高频噪声的波长短,且在仿真初期结构材料的参数不确定,FEM/BEM参数识别和计算难度大,在这种情况下,基于能量平均思想的统计能量方法显现出其特定的求...关于整车车内噪声的仿真分析方法,在理论上,FEM/BEM方法可以进行全频段的仿真,但由于高频噪声的波长短,且在仿真初期结构材料的参数不确定,FEM/BEM参数识别和计算难度大,在这种情况下,基于能量平均思想的统计能量方法显现出其特定的求解优势。针对SEA分析方法理论就该方法在车内噪声应用领域展开探讨,从整车车内噪声激励源及噪声传递途径、整车NVH性能开发方法和整车SEA建模方法三个角度对车内高频噪声仿真进行阐述。SEA仿真在整车方面的应用现阶段主要用来指导声学包开发,对SEA仿真中的关键科学问题与工程实际的结合,介绍2个典型工程案例:其一基于双墙理论的车门隔声量优化,通过建立相对独立的双墙模型,提高建模过程中的仿真精度;其二通过控制声学包装优化变速箱高频啸叫,采用车内双层地毯的优化方法,降低驾驶员头部的声压1.31 d B。通过SEA方法对车内高频噪声进行仿真显著改善车辆的NVH性能,提高车辆乘坐舒适性,可为相关领域的研究提供参考及借鉴。展开更多
文摘Statistical Energy Analysis(SEA) is one of the conventional tools for predicting vehicle high-frequency acoustic responses.This study proposes a new method that can provide customized optimization solutions to meet NVH targets based on the specific needs of different project teams during the initial project stages.This approach innovatively integrates dynamic optimization,Radial Basis Function(RBF),and Fuzzy Design Variables Genetic Algorithm(FDVGA) into the optimization process of Statistical Energy Analysis(SEA),and also takes vehicle sheet metal into account in the optimization of sound packages.In the implementation process,a correlation model is established through Python scripts to link material density with acoustic parameters,weight,and cost.By combining Optimus and VaOne software,an optimization design workflow is constructed and the optimization design process is successfully executed.Under various constraints related to acoustic performance,weight and cost,a globally optimal design is achieved.This technology has been effectively applied in the field of Battery Electric Vehicle(BEV).
基金the financial support provided for this project by the Ministry of Higher Education Malaysia(MoHE)under Fundamental Research Grant Scheme No.FRGS/1/2016/FTK-CARE/F00323.
文摘Statistical Energy Analysis(SEA)is a well-known method to analyze the flow of acoustic and vibration energy in a complex structure.This study investigates the application of the corrected SEA model in a non-reverberant acoustic space where the direct field component from the sound source dominates the total sound field rather than a diffuse field in a reverberant space which the classical SEA model assumption is based on.A corrected SEA model is proposed where the direct field component in the energy is removed and the power injected in the subsystem considers only the remaining power after the loss at first reflection.Measurement was conducted in a box divided into two rooms separated by a partition with an opening where the condition of reverberant and non-reverberant can conveniently be controlled.In the case of a non-reverberant space where acoustic material was installed inside the wall of the experimental box,the signals are corrected by eliminating the direct field component in the measured impulse response.Using the corrected SEA model,comparison of the coupling loss factor(CLF)and damping loss factor(DLF)with the theory shows good agreement.
文摘In order to improve the mass efficiency of an automotive soundproof package, it is important to predict the middle to high frequency range of noise and vibration during vehicle operation. A hybrid method of experimental and analytical SEA （statistical energy analysis） has been applied for the prediction of air-borne noise. However, for predicting structure-borne noise, there are no definitive simulation methods that can address the soundproof specifications in an actual vehicle. Thus, in this paper, a FEM （finite element method）＇SEA hybrid method is used. The FEM＇SEA hybrid method predicts structure-borne noise in the middle to high frequency range. First, we explain the basic concept of the FEM＇SEA hybrid method; Second, we describe our experiment to verify the analytical results of the FEM＇SEA hybrid method; Third, we provide the details of the FEM model versus the FEM＇SEA hybrid model; Finally, we verify the validity and availability of the FEM＇SEA hybrid method through comparisons of the FEM analysis results, FEM-SEA analysis results and measured results.
基金jointly supported by the National Natural Science Foundation of China(42376222,U22A20581,and 42076069)Key Research and Development Program of Hainan Province(ZDYF2024GXJS002)China Geological Survey(DD20230402)。
文摘A detailed understanding of the distribution and potential of natural gas hydrate(NGHs)resources is crucial to fostering the industrialization of those resources in the South China Sea,where NGHs are abundant.In this study,this study analyzed the applicability of resource evaluation methods,including the volumetric,genesis,and analogy methods,and estimated NGHs resource potential in the South China Sea by using scientific resource evaluation methods based on the factors controlling the geological accumulation and the reservoir characteristics of NGHs.Furthermore,this study compared the evaluation results of NGHs resource evaluations in representative worldwise sea areas via rational analysis.The results of this study are as follows:(1)The gas hydrate accumulation in the South China Sea is characterized by multiple sources of gas supply,multi-channel migration,and extensive accumulation,which are significantly different from those of oil and gas and other unconventional resources.(2)The evaluation of gas hydrate resources in the South China Sea is a highly targeted,stratified,and multidisciplinary evaluation of geological resources under the framework of a multi-type gas hydrate resource evaluation system and focuses on the comprehensive utilization of multi-source heterogeneous data.(3)Global NGHs resources is n×10^(15)m^(3),while the NGHs resources in the South China Sea are estimated to be 10^(13)m^(3),which is comparable to the abundance of typical marine NGHs deposits in other parts of the world.In the South China Sea,the NGHs resources have a broad prospect and provide a substantial resource base for production tests and industrialization of NGHs.
文摘为了对空间光学遥感器进行冲击响应预测,提出了一种基于统计能量分析(Statistical Energy Analysis,SEA)原理的新方法;基于稳态SEA推导了瞬态SEA的能量流平衡方程,结合虚拟模态综合与仿真方法(Virtual Mode Synthesis and Simulation,VMSS)和SEA方法进行空间光学遥感器的冲击响应预测;首先根据SEA原理,建立了典型空间光学遥感器的简化SEA模型,采用理论计算和试验测试的方法,得到了该模型各子系统的模态密度、内损耗因子、耦合损耗因子;在火工品附近安装冲击加速度传感器,点火起爆,测得冲击加速度时域曲线,以该测试数据为分析模型的输入,基于SEA方法进行冲击响应分析,得到反射镜子系统、遮光罩子系统、载荷板子系统的冲击响应谱曲线,该曲线与试验数据比对表明,在低频段由于模态密度较低,预测精度较差,在高频段其一致性小于4d B,从而验证了该方法在结构高频冲击响应预测的有效性。
文摘关于整车车内噪声的仿真分析方法,在理论上,FEM/BEM方法可以进行全频段的仿真,但由于高频噪声的波长短,且在仿真初期结构材料的参数不确定,FEM/BEM参数识别和计算难度大,在这种情况下,基于能量平均思想的统计能量方法显现出其特定的求解优势。针对SEA分析方法理论就该方法在车内噪声应用领域展开探讨,从整车车内噪声激励源及噪声传递途径、整车NVH性能开发方法和整车SEA建模方法三个角度对车内高频噪声仿真进行阐述。SEA仿真在整车方面的应用现阶段主要用来指导声学包开发,对SEA仿真中的关键科学问题与工程实际的结合,介绍2个典型工程案例:其一基于双墙理论的车门隔声量优化,通过建立相对独立的双墙模型,提高建模过程中的仿真精度;其二通过控制声学包装优化变速箱高频啸叫,采用车内双层地毯的优化方法,降低驾驶员头部的声压1.31 d B。通过SEA方法对车内高频噪声进行仿真显著改善车辆的NVH性能,提高车辆乘坐舒适性,可为相关领域的研究提供参考及借鉴。
