非破壊検査信号の確率論的取扱いによる配管減肉管理高度化方法論の構築

利用无损检测信号的概率处理建立先进的管壁减薄管理方法

• 批准号: 20J11957
• 负责人: 宋 海成
• 金额: $ 1.09万
• 依托单位: Tohoku University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for JSPS Fellows
• 财政年份: 2020
• 资助国家: 日本
• 起止时间: 2020-04-24 至 2022-03-31
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-20J11957/
• 关键词: reliability analysis; pipe wall thinning; fracture mechanics; probability of detection; Probability of detection; Inverse analysis; Reliability analysis; Local wall thinning; Sensor placement

This study aims to develop a pipe reliability analysis framework that is able to incorporate the quantifications of detection uncertainty and sizing uncertainty. A hierarchical Bayesian network was built to represent the conditional relationship among the variables. Accordingly, a Bayesian model was formulated to incorporate the developed multi-variable POD model and the quantification model of estimation error to calibrate the prediction model of wall thinning with nondestructive evaluation data to achieve reasonable reliability analysis.

这项研究旨在开发一个能够结合检测不确定性和大小不确定性的量化的管道可靠性分析框架。建立了一个分层贝叶斯网络，以代表变量之间的条件关系。因此，制定了贝叶斯模型，以结合开发的多变量POD模型和估计误差的量化模型，以使用非损害性评估数据来校准壁变薄的预测模型，以实现合理的可靠性分析。

项目成果

Probabilistic fracture mechanics model of wall-thinned pipe by incorporating multi-dimensional probability of detection

结合多维检测概率的薄壁管概率断裂力学模型

• 发表时间: 2020
• 作者: Song Haicheng;Yusa Noritaka
• 通讯作者: Yusa Noritaka

Inverse analysis of low frequency electromagnetic signals for sizing local wall thinning using a multivariate probabilistic model

• DOI: 10.1016/j.ndteint.2021.102417
• 发表时间: 2021-01
• 期刊: Ndt & E International
• 影响因子: 4.2
• 作者: Haicheng Song;N. Yusa

Experimental verification of improved probability of detection model considering the effect of sensor’s location on low frequency electromagnetic monitoring signals

考虑传感器位置对低频电磁监测信号影响的改进检测概率模型的实验验证

• DOI: 10.3233/jae-209322
• 发表时间: 2020
• 期刊: International Journal of Applied Electromagnetics and Mechanics
• 影响因子: 0.6
• 作者: Song Haicheng;Yusa Noritaka
• 通讯作者: Yusa Noritaka

Development of three-dimensional probability of detection model for monitoring local wall thinning in pipes

管道局部壁厚减薄监测三维概率检测模型的开发

• 发表时间: 2020
• 作者: Song Haicheng;Yusa Noritaka
• 通讯作者: Yusa Noritaka

センサ配置影響を考慮した低周波電磁場測定による配管減肉モニタリング有効性評価のため の検出確率モデルの開発

考虑传感器放置的影响，开发检测概率模型，用于评估使用低频电磁场测量进行管壁减薄监测的有效性

• 发表时间: 2021
• 作者: 宋海成;遊佐訓孝
• 通讯作者: 遊佐訓孝