For the best dynamic performance of a co-cured composite damping instrument panel with light weight and high strength, a multilayer sandwich structure with polymethaerylimide （PMI） foam combined with embedded and co...For the best dynamic performance of a co-cured composite damping instrument panel with light weight and high strength, a multilayer sandwich structure with polymethaerylimide （PMI） foam combined with embedded and co-cured composite damping structure is proposed. The struetue can maintain the excellent mechanical properties of composite materials, and achieve the damping and light effect at the same time. Input variables which may affect the dynamic performance of the instrument panel were selected and variance based importance measure was analyzed through multi- finite element method （FEM） analysis. Using the results of the importance measure analysis, with other design requirements, the important design variable was optimized and an instrument panel with the best dynamic performance under the requirements of light weight and high strength was obtained. The structure of the instrument panel can provide reference for the design of precision, high speed, and dynamic composite component. The importance measure analysis of dynamic performance of the instrument panel can provide a reference for relative design.展开更多
The importance analysis method represents a powerful tool for quantifying the impact of input uncertainty on the output uncertainty.When an input variable is described by a specific interval rather than a certain prob...The importance analysis method represents a powerful tool for quantifying the impact of input uncertainty on the output uncertainty.When an input variable is described by a specific interval rather than a certain probability distribution,the interval importance measure of input interval variable can be calculated by the traditional non-probabilistic importance analysis methods.Generally,the non-probabilistic importance analysis methods involve the Monte Carlo simulation(MCS)and the optimization-based methods,which both have high computational cost.In order to overcome this problem,this study proposes an interval important analytical method avoids the time-consuming optimization process.First,the original performance function is decomposed into a combination of a series of one-dimensional subsystems.Next,the interval of each variable is divided into several subintervals,and the response value of each one-dimensional subsystem at a specific input point is calculated.Then,the obtained responses are taken as specific values of the new input variable,and the interval importance is calculated by the approximated performance function.Compared with the traditional non-probabilistic importance analysis method,the proposed method significantly reduces the computational cost caused by the MCS and optimization process.In the proposed method,the number of function evaluations is equal to one plus the sum of the subintervals of all of the variables.The efficiency and accuracy of the proposed method are verified by five examples.The results show that the proposed method is not only efficient but also accurate.展开更多
While public spaces of tourist villages(PSTVs)have increasingly gained more policy and development attention,their empirical investigations are still limited.This study aims to develop a quantitative methodological ap...While public spaces of tourist villages(PSTVs)have increasingly gained more policy and development attention,their empirical investigations are still limited.This study aims to develop a quantitative methodological approach of assessing PSTVs through the use of Analytic Hierarchy Process(AHP)to measure tourists’satisfaction.This approach involves experts’and tourists’judgment processes,and the resultant assessment matrix is applied to suggest the strengths and weaknesses of the PSTVs using an Importance-Performance Analysis(IPA).The results from Jiaochangwei Village in Shenzhen suggest that"street spaces,""square spaces,""coastal spaces,""green spaces,""traffic facilities,""public service facilities,""culture,"and"management and maintenance"are key factors to evaluate the use and quality of PSTVs.This paper offers insights into the theoretical investigation and practical development of PSTVs for tourism and village planning decision makers.展开更多
文摘For the best dynamic performance of a co-cured composite damping instrument panel with light weight and high strength, a multilayer sandwich structure with polymethaerylimide （PMI） foam combined with embedded and co-cured composite damping structure is proposed. The struetue can maintain the excellent mechanical properties of composite materials, and achieve the damping and light effect at the same time. Input variables which may affect the dynamic performance of the instrument panel were selected and variance based importance measure was analyzed through multi- finite element method （FEM） analysis. Using the results of the importance measure analysis, with other design requirements, the important design variable was optimized and an instrument panel with the best dynamic performance under the requirements of light weight and high strength was obtained. The structure of the instrument panel can provide reference for the design of precision, high speed, and dynamic composite component. The importance measure analysis of dynamic performance of the instrument panel can provide a reference for relative design.
文摘The importance analysis method represents a powerful tool for quantifying the impact of input uncertainty on the output uncertainty.When an input variable is described by a specific interval rather than a certain probability distribution,the interval importance measure of input interval variable can be calculated by the traditional non-probabilistic importance analysis methods.Generally,the non-probabilistic importance analysis methods involve the Monte Carlo simulation(MCS)and the optimization-based methods,which both have high computational cost.In order to overcome this problem,this study proposes an interval important analytical method avoids the time-consuming optimization process.First,the original performance function is decomposed into a combination of a series of one-dimensional subsystems.Next,the interval of each variable is divided into several subintervals,and the response value of each one-dimensional subsystem at a specific input point is calculated.Then,the obtained responses are taken as specific values of the new input variable,and the interval importance is calculated by the approximated performance function.Compared with the traditional non-probabilistic importance analysis method,the proposed method significantly reduces the computational cost caused by the MCS and optimization process.In the proposed method,the number of function evaluations is equal to one plus the sum of the subintervals of all of the variables.The efficiency and accuracy of the proposed method are verified by five examples.The results show that the proposed method is not only efficient but also accurate.
基金funded by the Humanities and Social Science Foundation of the Ministry of Education of China(17YJAZH059)the Natural Science Foundation of Guangdong Province,China(2018A0303130032).
文摘While public spaces of tourist villages(PSTVs)have increasingly gained more policy and development attention,their empirical investigations are still limited.This study aims to develop a quantitative methodological approach of assessing PSTVs through the use of Analytic Hierarchy Process(AHP)to measure tourists’satisfaction.This approach involves experts’and tourists’judgment processes,and the resultant assessment matrix is applied to suggest the strengths and weaknesses of the PSTVs using an Importance-Performance Analysis(IPA).The results from Jiaochangwei Village in Shenzhen suggest that"street spaces,""square spaces,""coastal spaces,""green spaces,""traffic facilities,""public service facilities,""culture,"and"management and maintenance"are key factors to evaluate the use and quality of PSTVs.This paper offers insights into the theoretical investigation and practical development of PSTVs for tourism and village planning decision makers.
