应变硬化指数的改进及其对失效压力预测的影响

Emily A. D. Brady, J. Kornuta, Joel Anderson, A. Steiner, P. Veloo
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引用次数: 1

摘要

管理天然气管道运行和安全的联邦法规发生了变化,这促使美国的运营商为缺乏可靠记录的管道建立材料验证计划(MVP)。太平洋天然气和电力公司(PG&E)正在进行的MVP开发了一个广泛的实验室(破坏性)拉伸测试数据库,对来自管道样品的144个试样进行了测试,除了屈服强度和极限拉伸强度外,还量化了应变硬化指数(n)。材料的应变硬化指数量化了加工硬化过程中的应力-应变行为,也用于基于断裂力学的工具,如CorLAS™,用于评估圆柱体的缺陷。比如管道。在现有文献中,管道钢的应变硬化数据有限。这导致了20世纪70年代NG-18研究中利用屈服应力与极限抗拉强度之比(r比)的相关性的发展。Jaske和Beavers在2002年发表的CorLAS™模型的原始出版物中,利用这种相关性提出了n和r比率之间的二次关系;然而,这种关系是基于四个数据点,每个数据点来自不同等级的管线。因此,这种经验关系的不确定性很大。寻求一种适用于多个等级和年份的更牢固的关系。利用PG&E的材料验证数据库,本文基于从20世纪30年代到2010年,等级从A级到X70级的58个管道特征,提出了应变硬化指数的改进关系。提供了几个案例研究,突出了这一变化对使用CorLAS™进行下游失效压力评估的影响。在某些情况下,作者发现,将这种新的应变硬化指数模型与CorLAS™结合使用,可以导致计算出的破坏压力相差约10%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improvements to Strain Hardening Exponent and the Implications to Failure Pressure Predictions
Federal rule changes governing natural gas pipeline operation and safety have driven operators in the United States to establish materials verification programs (MVP) for pipelines that lack reliable records. The ongoing MVP at the Pacific Gas and Electric Company (PG&E) developed an extensive database of laboratory (destructive) tensile testing on over 144 coupons from pipe samples to quantify, in addition to yield strength and ultimate tensile strength, strain hardening exponent (n). A material’s strain hardening exponent quantifies the stress-strain behavior in work hardening and is also used in fracture mechanics-based tools, such as CorLAS™, for assessing flaws in cylindrical bodies, such as pipelines. There is limited strain hardening data for pipeline steels in available literature. This led to the development of a correlation utilizing the ratio of yield stress to ultimate tensile strength (R-ratio) as part of NG-18 research in the 1970s. The original publication for the CorLAS™ model, by Jaske and Beavers in 2002, used this correlation to propose a quadratic relationship between n and R-ratio; however, this relationship was based on a total of four data points each from a different grade of line pipe. As a result, the uncertainty of this empirical relationship is large. A more robust relationship that would be applicable across multiple grades and vintages was sought. Using the PG&E’s materials verification database, this paper presents an improved relationship for strain hardening exponent based on 58 pipe features ranging from the 1930’s to the 2010’s and grades ranging from Grade A to X70. Several case studies highlighting the impact of this change on downstream failure pressure evaluations using CorLAS™ are provided. In some instances, the authors have found that using this new model for the strain hardening exponent in conjunction with CorLAS™ can result in differences of approximately 10% in the calculated failure pressure.
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