Investigation of gas distribution pipes subjected to ground movements

管道是现代社会的生命线，为我们的生活提供水和能源。然而，在这方面， 管道事故，例如泄漏和故障，可造成重大的经济和环境后果。 能源管道的泄漏会污染环境并造成火灾危险。地面 已确定输油管的移动是造成输油管事故的原因之一。埋在移动地面中的管道 经受在壁上引起过度应力和应变的载荷，从而导致泄漏和/或故障。然而，在这方面， 目前没有可接受的设计方法可用于评估管壁应力和应变， 地面移动载荷，特别是用于气体输送和分配的小直径管道 系统.本研究的目的是开发气体应力/应变评估方法 受地面运动载荷的分配管道和管道完整性评估框架， 确定高风险领域。土-管相互作用的全尺寸实验室测试和有限元（FE）建模 将进行开发简化的工具，用于评估气体分配网络中的管道。一 简化的设计工具是需要实践工程师的操作条件的评估， 管道在服务中，详细的有限元建模被认为是昂贵的和不方便的。将进行测试， 使用一种新的实验室测试方法来模拟地面， 预计在外地的行动情况。将使用Abaqus FE开发FE建模技术 软件来模拟从测试中观察到的响应。建议应用监督机器学习 回归方法使用实验室测试和有限元建模的数据，以开发简化方法 管道应变评估。这项研究的结果将促进对管道的认识 经历地面运动，并将有助于减轻管道故障的风险。因此 研究结果将有助于有效和安全地向加拿大人提供天然气供应， 从而保护加拿大环境免受气体泄漏的影响。

Pipelines are lifelines of modern society, which are used to supply water and energy for our living. However, pipeline incidents, such as leaks and failure, can have significant economic and environmental consequences. Leaking from energy pipelines can contaminate the environment and cause a fire hazard. The ground movement has been identified as one of the causes of pipeline incidents. Pipes buried in the moving ground experience loads that induce excessive stresses and strains on the wall, causing leaks and/or failures. However, no acceptable design method is currently available for the assessment of pipe wall stresses and strains due to the ground movement loads, particularly for small diameter pipes used in gas transmission and distribution systems. The objectives of the current study are to develop methods for stress/strain assessment of gas distribution pipes subjected to the ground movement loads and a pipeline integrity assessment framework to identify high-risk areas. Full-scale laboratory testing and finite element (FE) modelling of soil-pipe interaction will be performed to develop simplified tools for the assessment of the pipes in the gas distribution network. A simplified design tool is required for practicing engineer for the assessment of the operational conditions of pipes in service, where detailed FE modelling is considered costly and inconvenient. Tests will be conducted to experimentally examine the behavior of the pipes using a novel laboratory test method to simulate ground movement scenarios expected in the field. FE modelling techniques will be developed using Abaqus FE software to simulate the observed responses from the tests. It is proposed to apply supervised machine learning regression methods using the data from the laboratory tests and FE modelling to develop the simplified method of pipe strain assessment. The findings from this research will advance the knowledge on pipelines experiencing ground movements and would be useful for mitigating the risks of pipeline failures. Thus, the research findings will contribute to providing natural gas supply to the Canadians effectively and safely and thus, to the protection of the Canadian environment from gas leakage.