Abstract:
Due to complexity of the train energy absorbers, multiple parameters must be considered in their structure optimization. However, the traditional optimization design meth...Show MoreMetadata
Abstract:
Due to complexity of the train energy absorbers, multiple parameters must be considered in their structure optimization. However, the traditional optimization design methods lack an overall point of view for structure analysis and, therefore, cannot deal with multi-objective problems comprehensively. In this paper, a cooperative optimization platform is proposed to establish the design and optimization process, using a modular modeling system for the high speed train collision absorber. Playing the role of each module, the platform can have a real-time grasp of the entire optimization design process. In addition, with the help of the powerful file data processing system and driving engine of computer, the whole optimization design process is automated, which improves data analysis and post-processing ability. Therefore, the optimization platform can realize automation of optimization design process, shorten optimization time and reduce analysis costs. This platform can achieve the goal of collaborative optimization.
Published in: 2019 IEEE 23rd International Conference on Computer Supported Cooperative Work in Design (CSCWD)
Date of Conference: 06-08 May 2019
Date Added to IEEE Xplore: 08 August 2019
ISBN Information: