Title: Nonlinear analysis and uncertainty optimisation of mining dump truck's ROPS based on TPS-HDMR

Authors: Wei-ping Li; Jian-jian Tao; Ming-yang Liu

Addresses: State Key Laboratory of Advanced Design and Manufacture for Vehicle Body, Hunan University, Changsha, Hunan Province 410082, China ' State Key Laboratory of Advanced Design and Manufacture for Vehicle Body, Hunan University, Changsha, Hunan Province 410082, China ' State Key Laboratory of Advanced Design and Manufacture for Vehicle Body, Hunan University, Changsha, Hunan Province 410082, China

Abstract: Roll-over protective structures (ROPS) are proven to prevent fatalities from heavy mining dump truck roll-over. The nonlinear finite element analysis methodology is utilised to analyse the strength of the ROPS in this paper. Additionally, some rectangular tube's thickness was selected as the design variable. The uncertain material parameters of the cab are treated as intervals and an approximate model between design variables, uncertain variables and objective function was established by the high dimensional model representation based on thin plate spline interpolation. Moreover, by using double-nested genetic algorithm (GA), the deformation and the weight of the ROPS are optimised in this paper. Finally, the optimisation results verify the feasibility and the superiority of the method proposed in this paper.

Keywords: ROPS strength; rollover protective structures; nonlinear analysis; high dimensional modelling; thin plate spline interpolation; interval analysis; genetic algorithms; structural optimisation; mining dump trucks; heavy vehicles; finite element analysis; FEA; rectangular tube thickness; parameter uncertainty; ROPS deformation; ROPS weight.

DOI: 10.1504/IJHVS.2015.070417

International Journal of Heavy Vehicle Systems, 2015 Vol.22 No.1, pp.73 - 92

Received: 06 Mar 2014
Accepted: 21 Dec 2014
Published online: 05 Jul 2015 *

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