Investigation of gas distribution pipes subjected to ground movements

管道是现代社会的生命线，用来为我们的生活提供水和能源。然而， 管道事故，如泄漏和故障，可能会产生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 移动已被确定为管道事故的原因之一。埋在移动的地面上的管道 承受对墙体产生过大应力和应变，从而导致泄漏和/或故障的负荷。然而， 目前还没有可接受的设计方法来评估管壁应力和应变，这是由于 地面移动荷载，特别是用于天然气输送和分配的小口径管道 系统。目前研究的目标是开发气体应力/应变评估方法。 承受地面移动载荷的配电管道和管道完整性评估框架，以 确定高危地区。土-管相互作用的足尺室内试验及有限元模拟 将开展一项工作，以开发简化的工具，用于评估天然气分配网络中的管道。一个 培训工程师评估其运行状况需要简化的设计工具 在服役的管道中，详细的有限元建模被认为是昂贵和不方便的。将进行测试，以 使用一种新的模拟地面的实验室测试方法来实验检查管道的行为 预计会出现现场的移动场景。将使用ABAQUS FE开发有限元建模技术 模拟从测试中观察到的反应的软件。提出了一种应用有监督机器学习的方法 回归方法利用实验室试验数据和有限元模型建立简化方法 进行管道应变评估。这项研究的发现将促进对管道的了解 这将有助于减少管道故障的风险。因此， 研究成果将有助于向加拿大人有效、安全和 因此，为了保护加拿大的环境不受天然气泄漏的影响。

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.