Abstract Large structures are systems composed by a significant number of components with parallel or series distributions. How these components fail and interact, aggravate the complexity of the main structure reliability calculation. Some methods commonly proposed to reduce this complexity by dividing the system into segments of similar properties using dynamic or static approaches. Dynamic segmentations may depend on how aggressive is the structure’s surrounding conditions (e.g., the soil properties). Static segmentations could be given by fixed distances. However, in a few cases, these divisions follow a condition-based approach. This paper proposes an alternative dynamic segmentation to identify preliminary critical segments based on a Changepoint approach and data obtained from inspections. Changepoints algorithms have been used to determine changes in spatial measurements for a further reliability evaluation with appropriate limit state functions. This work focuses on onshore pipelines subjected to corrosion defects based on information obtained from In-Line Inspections (ILI). Onshore pipelines cross through a variety of soils, water corridors, and densely populated areas promoting spatial-dependent degradation processes like corrosion. ILI inspections are commonly used to identify the condition of the pipeline in terms of the remaining wall and location of metal loss at the inner and outer walls by using magnetic or ultrasonic instruments. Based on a burst failure limit state, the segments obtained with the changepoints approach are compared with a soil and static segmentations. The results indicate that the proposed approach could identify the main critical points of the pipeline using segments with statistical significance.

中文翻译：

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使用 Changepoints 算法对大型系统进行基于条件的动态分割：管道腐蚀案例

摘要 大型结构是由大量并联或串联分布的组件组成的系统。这些部件如何失效和相互作用，加剧了主体结构可靠性计算的复杂性。通常提出的一些方法是通过使用动态或静态方法将系统划分为具有相似属性的部分来降低这种复杂性。动态分割可能取决于结构的周围条件（例如，土壤特性）的积极程度。静态分割可以通过固定距离给出。但是，在少数情况下，这些划分遵循基于条件的方法。本文提出了一种替代的动态分割，以基于 Changepoint 方法和从检查中获得的数据来识别初步关键段。变化点算法已被用于确定空间测量的变化，以使用适当的极限状态函数进行进一步的可靠性评估。这项工作的重点是根据在线检查 (ILI) 获得的信息，处理存在腐蚀缺陷的陆上管道。陆上管道穿过各种土壤、水道和人口稠密地区，促进了腐蚀等空间依赖性退化过程。ILI检查通常用于通过使用磁性或超声波仪器从剩余壁和内壁和外壁金属损失的位置来识别管道的状况。基于突发故障极限状态，将使用变化点方法获得的分段与土壤和静态分段进行比较。