High-speed tracked vehicle model order reduction for static and dynamic simulations  

在线阅读下载全文

作  者:Luca Dimauro Simone Venturini Antonio Tota Enrico Galvagno Mauro Velardocchia 

机构地区:[1]Department of Mechanical and Aerospace Engineering,Politecnico di Torino,Corso Duca degli Abruzzi,24,10129,Torino,Italy

出  处:《Defence Technology(防务技术)》2024年第8期89-110,共22页Defence Technology

摘  要:In this paper, a model order reduction strategy is adopted for the static and dynamic behaviour simulation of a high-speed tracked vehicle. The total number of degree of freedom of the structure is condensed through a selection of interface degrees of freedom and significant global mode shapes, for an approximated description of vehicle dynamic behaviour. The methodology is implemented in a customised open-source software to reduce the computational efforts. The modelled tracked vehicle includes the sprung mass, the unsprung masses, connected by means of torsional bars, and all the track assemblies, composing the track chain. The proposed research activity presents a comprehensive investigation of the influence of the track chain, combined with longitudinal vehicle speed, on statics and vehicle dynamics, focusing on vertical dynamics. The vehicle response has been investigated both in frequency and time domain. In this last case road-wheel displacements are assumed as inputs for the model, under different working conditions, hence considering several road profiles with different amplitudes and characteristic excitation frequencies. Simulation results have proven a high fidelity in model order reduction approach and a significant contribution of the track chain in the global dynamic behaviour of the tracked vehicle.

关 键 词:Tracked vehicle dynamics Rubber characteristics Component mode synthesis Modal analysis OPEN-SOURCE 

分 类 号:U469.694[机械工程—车辆工程] TJ810.1[交通运输工程—载运工具运用工程]

 

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