腐蚀管道剩余强度评估模型开发进展

Xian-Kui Zhu, B. Wiersma
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引用次数: 1

摘要

介绍了用于确定含金属损失或腐蚀缺陷管道剩余强度的腐蚀评估模型的技术综述。首先,考虑了无缺陷管道的破裂压力预测模型,包括强度和流动理论确定的破裂解及其实验验证。接下来,通过将厚壁爆裂解决方案和机器学习模型与覆盖X120级管道的全尺寸爆裂数据进行比较,讨论了更准确的爆裂压力预测,涵盖了广泛的管道等级。根据参考应力的不同,将腐蚀评价模型分为三代。第一代、第二代和第三代模型分别对应流动应力、UTS以及UTS和应变硬化速率。对17种腐蚀模型进行了评估,并与各种等级的管道钢的全尺寸爆裂数据进行了比较。测试的重点是验证最近开发的两种第三代模型,这两种模型可以更准确地确定腐蚀薄壁管道的爆裂强度。作为第四代模型,介绍了三种典型的厚壁腐蚀评估模型和机器学习模型,以更准确地预测腐蚀厚壁管道的结果。然后讨论了腐蚀模型的发展进展,包括约束效应、胀形因素和缺陷宽度效应。最后,从全尺寸实验测试、数值模拟、材料失效准则和实际腐蚀缺陷评估等方面讨论了腐蚀评估模型发展中的主要技术挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Progress of Assessment Model Development for Determining Remaining Strength of Corroded Pipelines
A technical review is presented of corrosion assessment models for determining the remaining strength of pipelines containing metal loss or corrosion defects. Initially, burst pressure prediction models for defect-free pipes, including strength and flow theory determined burst solutions and their experimental validations were considered. Next more accurate burst pressure predictions that cover a wide range of pipeline grades were discussed by comparing thick wall burst solutions and machine learning models with full-scale burst data that cover a wide range of pipeline grades up to X120. Corrosion assessment models were categorized into three generations with respect to the reference stress. The 1st, 2nd, and 3rd generation models correspond to the flow stress, UTS, and both UTS and strain hardening rate. Seventeen corrosion models were evaluated and compared with full-scale burst data for a wide range of pipeline steels from low to high grades. The focus was on validating two recently developed 3rd-generation models that can determine more accurate burst strength for corroded thin-wall pipes. As the 4th-generation models, three typical thick-wall corrosion assessment models and machine learning models were introduced to predict more accurate results for corroded thick-wall pipes. After that, advances in corrosion model development were discussed, including constraint effect, bulging factor and defect width effect. Finally, major technical challenges in development of corrosion assessment models were discussed with regard to full-scale experimental tests, numerical simulations, material failure criteria and real corrosion defect assessment.
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