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Dynamic loading of pipelines during integrity management

Dynamic loading of pipelines during integrity management
完整性管理期间管道的动态加载
批准号:
514336-2017
负责人:
Li, Leping
金额:
$8.73万
依托单位:
依托单位国家:
加拿大
项目类别:
Collaborative Research and Development Grants
财政年份:
2019
资助国家:
加拿大
项目状态:
已结题
起止时间:
2019-01-01 至 2020-12-31

项目摘要

项目成果

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中文摘要
翻译
该项目的目的是提高管道的安全性。虽然泄漏检测和泄漏补救很重要,但更可取的是从一开始就预防事故。该项目将开发知识、技术和最佳做法,在尽可能高的水平上促进管道的完整性。确保通过管道安全可靠地运输能源产品至关重要,无论这种能源是来自不可再生能源(化石燃料)还是来自可再生能源(生物燃料)。这项研究将由一个多学科团队与一家天然气和液态碳氢化合物管道运输的全球领先者合作进行。四名研究人员是卡尔加里大学的终身教员,一名研究人员来自加拿大自然资源公司的CanmetMATERIALS。博士和硕士研究生将是团队的重要成员。该项目将评估在线检测工具通过管道时的压力状况,作为完整性管理程序的一部分。这是一个未开发的领域,将导致对应力、疲劳和材料损失的综合影响的新理解。在某些情况下,由于焊接或腐蚀缺陷,这些影响可能会混合在可能易受攻击的管道中。利用数值模拟和小规模实验相结合的方法,将开发一个人工智能模型,以预测各种输入条件下的最大应力和裂纹扩展速度,包括温度变化、焊接、腐蚀和裂纹扩展。该模型将产生一个软件工具,供管道工程师在实际情况下使用,以改进健壮性完整性管理程序。这项研究将解决未知问题,并将创造关于频繁的管道完整性程序的新知识,但该研究方法也将允许适用于管道挖掘过程中的露天管道等周围环境的影响、跨水和穆斯克。
英文摘要
The purpose of the project is to improve pipeline safety. While leak detection and spill remediation areimportant, it is more desirable to prevent incidents in the first place. The project will develop knowledge,technologies and best practices that promote pipeline integrity at the highest level possible. Ensuring the safeand reliable transportation of energy products by pipelines is crucial, irrespective of whether this energy isderived from non-renewable (fossil fuels) or from renewable (biofuels) sources. The research will be carried out by a multidisciplinary team in collaboration with a global leader in the pipeline transportation of gas and liquid hydrocarbons. Four researchers are tenured faculty members at the University of Calgary and one is from CanmetMATERIALS at Natural Resources Canada. PhD and MSc students will be an essential part of the team.The project will assess the stress regime when an In-Line Inspection tool passes through a pipe as part of anintegrity management procedure. This is an unexplored area that will result in a new understanding of thecombined effects of stress, fatigue and material loss. In some cases, these effects can be compounded in a pipethat is potentially vulnerable due to weld or corrosion defects. Using a combination of numerical modeling and subscale experiments, an artificial intelligence model will be developed to predict maximum stress and crack propagation rate for a variety of input conditions, including temperature change, welds, corrosion, and crack propagation. The model will result in a software tool for use by pipeline engineers in real-world situations to improve the robustness integrity management programs.This study will address unknowns and will create new knowledge about a frequent pipeline integrity procedure, but the research approach will also allow applicability to the effects of surrounding environment such as open pit pipe during pipe excavation procedures, water crossings and muskeg.
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  • 批准号:
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  • 项目类别:
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  • 资助金额:
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  • 财政年份:
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  • 依托单位:
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  • 财政年份:
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Pathomechanics of human diarthrodial joints - associations with the structure of collagen network in articular cartilage
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    356517-2009
  • 项目类别:
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  • 资助金额:
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  • 财政年份:
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Pathomechanics of human diarthrodial joints - associations with the structure of collagen network in articular cartilage
  • 批准号:
    356517-2009
  • 项目类别:
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  • 资助金额:
    $1.75万
  • 财政年份:
    2011
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  • 依托单位:
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