High Speed Railway Degradation Modelling

高速铁路退化建模

• 批准号: 2593370
• 金额: --
• 依托单位: University of Nottingham
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2593370
• 关键词: Speed; Railway; Degradation; Modelling

High-speed railway infrastructure is a complex arrangement of systems and structures, which includes: track, switches, drainage, signalling, power supply and communications, in addition to the civil structures comprising earthworks, tunnels, bridges and stations. As new high speed railways are built, it is important that plans are in place to ensure that they are sustainable and affordable so that elements can be renewed as they wear out or become obsolete due to new technologies. To be able to plan for renewals it is necessary to understand how all the infrastructure elements degrade due to either the passage of time or use. This enables the estimation of when replacement is necessary, and can be achieved using modelling methods which include artificial intelligence (AI). This project is to develop and apply methods by which data, indicating the effects that time and usage have on the railway condition, can be used to predict the expected time that renewal will be necessary.

高速铁路基础设施是一个复杂的系统和结构安排，其中包括：轨道，开关，排水，信号，供电和通信，以及土木结构，包括土方工程，隧道，桥梁和车站。随着新的高速铁路的建设，重要的是要制定计划，以确保它们是可持续的和负担得起的，以便在新技术导致元件磨损或过时时可以更新。为了能够规划更新，有必要了解所有基础设施元素如何由于时间的推移或使用而退化。这使得能够估计何时需要更换，并且可以使用包括人工智能（AI）的建模方法来实现。本项目旨在开发和应用各种方法，通过这些方法，可以使用表明时间和使用对铁路状况的影响的数据来预测需要更新的预期时间。