Achievement Journal RNDE Student

論文掲載決定(Research in Nondestructive Evaluation誌)!!

更新日:

一昨日のMeasurement誌に続き、米国非破壊検査協会の学術論文誌であるResearch in Nondestructive Evaluation誌にA detection sensitivity analysis model for structural health monitoring to inspect wall thinning considering random sensor locationとのタイトルで投稿した論文の受理通知が来ました。

論文の内容は、センサ位置を固定しての構造健全性モニタリングにおいて、センサ間隔がきずの検出性に及ぼす影響を確率論的に取り扱うための数理モデルを開発し、その妥当性を示したというものです。結構数式が多い論文のためか投稿か初回の査読が返ってくるまで1年以上かかり、内容に自信があっただけに実のところ非常にやきもきしておりました。

論文の概要は以下。

Author: Haicheng Song, Noritaka Yusa

Title: A detection sensitivity analysis model for structural health monitoring to inspect wall thinning considering random sensor location

Abstract: Structural health monitoring (SHM), which allows the detection of defects at an early stage by attaching sensors to the target, is an effective method of enhancing the reliability and the safety of important engineering structures. One of the practical difficulties of SHM is that usually a large area must be monitored using a limited number of sensors fixed at certain locations. And the sensor placement is a decisive contributor to the detection capability of SHM because measured signals are generally dependent on the location of a defect with respect to a sensor. In order to quantify the detection sensitivity more reasonably, this study proposes an analytical method based on a closed-form probability density function and a numerical method based on Monte-Carlo simulation to quantify the detection sensitivity, taking into account the randomness of sensor location. The effectiveness of the proposed detection sensitivity analysis model has been examined using simulated inspection signals of low frequency electromagnetic monitoring for detecting full circumferential pipe wall thinning.

-Achievement, Journal, RNDE, Student
-

Copyright© Yusa Laboratory , 2022 All Rights Reserved Powered by STINGER.