Supercomputing to understand track buckling and related train derailments

超级计算了解轨道屈曲和相关的火车脱轨

• 批准号: DE210100273
• 负责人: A/Prof Qing Wu
• 金额: $ 28.68万
• 依托单位: Central Queensland University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Early Career Researcher Award
• 财政年份: 2021
• 资助国家: 澳大利亚
• 起止时间: 2021-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DE210100273
• 关键词: Supercomputing; understand; track; buckling; related

This project aims to understand the contributions of railway train forces to a dangerous and high-cost track dynamic behaviour called buckling; by developing a supercomputing method that unlocks the capability for large-scale 3D train-track interaction research for railway trains of up to 250 vehicles. This project expects to generate new knowledge regarding track buckling, train derailments and train-track dynamics. Expected outcomes include a new supercomputing method for train-track dynamics and derailment research and a science-based technique to assess track buckling safety. This project should provide significant benefits to the rail industry including enhanced rail safety, lower maintenance costs and improved transport efficiency.

该项目旨在了解铁路列车力对称为屈曲的危险和高成本轨道动态行为的贡献;通过开发一种超级计算方法，为多达250辆的铁路列车解锁大规模3D列车-轨道相互作用研究的能力。该项目预计将产生关于轨道屈曲，列车脱轨和列车轨道动力学的新知识。预期成果包括一种用于列车轨道动力学和脱轨研究的新超级计算方法，以及一种评估轨道屈曲安全性的基于科学的技术。该项目将为铁路行业带来重大利益，包括提高铁路安全、降低维修成本和提高运输效率。