Multibody system transfer matrix method:The past, the present, and the future  被引量:14

在线阅读下载全文

作  者:Xiaoting Rui Jianshu Zhang Xun Wang Bao Rong Bin He Zhan Jin 

机构地区:[1]Institute of Launch Dynamics,Nanjing University of Science and Technology,Nanjing,China

出  处:《International Journal of Mechanical System Dynamics》2022年第1期3-26,共24页国际机械系统动力学学报(英文)

基  金:National Program on Key Basic Research Project of China,Grant/Award Number:613308;Science Challenge Project,Grant/Award Number:TZ2016006‐0104;Natural Science Foundation of China Government,Grant/Award Number:11472135;supported by the National Program on Key Basic Research Project of China(973 Program,No.613308);the Science Challenge Project(No.TZ2016006‐0104);the Natural Science Foundation of China Government(No.11472135).

摘  要:The multibody system transfer matrix method(MSTMM),a novel dynamics approach developed during the past three decades,has several advantages compared to conventional dynamics methods.Some of these advantages include avoiding global dynamics equations with a system inertia matrix,utilizing low‐order matrices independent of system degree of freedom,high computational speed,and simplicity of computer implementation.MSTMM has been widely used in computer modeling,simulations,and performance evaluation of approximately 150 different complex mechanical systems.In this paper,the following aspects regarding MSTMM are reviewed:basic theory,algorithms,simulation and design software,and applications.Future research directions and generalization to more applications in various fields of science,technology,and engineering are discussed.

关 键 词:multibody system dynamics multibody system transfer matrix method transfer matrix transfer equation automatic assembly theorem reduced multibody system transfer matrix method theory SOFTWARE applications acoustic system electrical power system fluid system 

分 类 号:TP3[自动化与计算机技术—计算机科学与技术]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象