Experimental investigation of a method for diagnosing wall thinning in an artificially thinned carbon steel elbow based on changes in modal characteristics
Curved cylindrical structures such as elbows have a non-uniform thickness distribution due to their fabrication process, and as a result have a number of complex mode shapes, including circumferential and axial nodal patterns. In nuclear power plants, material degradation is induced in pipes by flow...
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Format: | Article |
Language: | English |
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Elsevier
2023-03-01
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Series: | Nuclear Engineering and Technology |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S1738573322005277 |
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author | Byunyoung Chung Jonghwan Kim Daesic Jang Sunjin Kim Youngchul Choi |
author_facet | Byunyoung Chung Jonghwan Kim Daesic Jang Sunjin Kim Youngchul Choi |
author_sort | Byunyoung Chung |
collection | DOAJ |
description | Curved cylindrical structures such as elbows have a non-uniform thickness distribution due to their fabrication process, and as a result have a number of complex mode shapes, including circumferential and axial nodal patterns. In nuclear power plants, material degradation is induced in pipes by flow accelerated erosion and corrosion, causing the wall thickness of carbon steel elbows to gradually thin. The corresponding frequencies of each mode shape vary according to the wall thinning state. Therefore, the thinning state can be estimated by monitoring the varying modal characteristics of the elbow. This study investigated the varying modal characteristics of artificially thinned carbon steel elbows for each thinning state using numerical simulation and experimental methods (MRIT, Multiple Reference Impact Test). The natural frequencies of specified mode shapes were extracted, and results confirmed they linearly decreased with increasing thinning. In addition, by comparing single FRF (Frequency Response Function) data with the results of MRIT, a concise and cost effective thinning estimation method was suggested. |
first_indexed | 2024-04-10T05:15:23Z |
format | Article |
id | doaj.art-df4d706e53ef4f31806a6301052dde0f |
institution | Directory Open Access Journal |
issn | 1738-5733 |
language | English |
last_indexed | 2024-04-10T05:15:23Z |
publishDate | 2023-03-01 |
publisher | Elsevier |
record_format | Article |
series | Nuclear Engineering and Technology |
spelling | doaj.art-df4d706e53ef4f31806a6301052dde0f2023-03-09T04:13:01ZengElsevierNuclear Engineering and Technology1738-57332023-03-01553947957Experimental investigation of a method for diagnosing wall thinning in an artificially thinned carbon steel elbow based on changes in modal characteristicsByunyoung Chung0Jonghwan Kim1Daesic Jang2Sunjin Kim3Youngchul Choi4Korea Atomic Energy Research Institute, Republic of Korea; Corresponding author. Korea Atomic Energy Research Institute, 111 Daedeok-Daero, Yuseong-Gu, Daejeon, Republic of Korea. Tel.: +82 42 868 8579, fax: +82 42 868 8313Korea Atomic Energy Research Institute, Republic of Korea; Department of Mechanical Engineering, Hanyang University, Republic of KoreaKorea Atomic Energy Research Institute, Republic of KoreaKorea Atomic Energy Research Institute, Republic of KoreaKorea Atomic Energy Research Institute, Republic of KoreaCurved cylindrical structures such as elbows have a non-uniform thickness distribution due to their fabrication process, and as a result have a number of complex mode shapes, including circumferential and axial nodal patterns. In nuclear power plants, material degradation is induced in pipes by flow accelerated erosion and corrosion, causing the wall thickness of carbon steel elbows to gradually thin. The corresponding frequencies of each mode shape vary according to the wall thinning state. Therefore, the thinning state can be estimated by monitoring the varying modal characteristics of the elbow. This study investigated the varying modal characteristics of artificially thinned carbon steel elbows for each thinning state using numerical simulation and experimental methods (MRIT, Multiple Reference Impact Test). The natural frequencies of specified mode shapes were extracted, and results confirmed they linearly decreased with increasing thinning. In addition, by comparing single FRF (Frequency Response Function) data with the results of MRIT, a concise and cost effective thinning estimation method was suggested.http://www.sciencedirect.com/science/article/pii/S1738573322005277Estimation of thinning stateWall thinningCurved cylindrical structureVarying modal characteristics |
spellingShingle | Byunyoung Chung Jonghwan Kim Daesic Jang Sunjin Kim Youngchul Choi Experimental investigation of a method for diagnosing wall thinning in an artificially thinned carbon steel elbow based on changes in modal characteristics Nuclear Engineering and Technology Estimation of thinning state Wall thinning Curved cylindrical structure Varying modal characteristics |
title | Experimental investigation of a method for diagnosing wall thinning in an artificially thinned carbon steel elbow based on changes in modal characteristics |
title_full | Experimental investigation of a method for diagnosing wall thinning in an artificially thinned carbon steel elbow based on changes in modal characteristics |
title_fullStr | Experimental investigation of a method for diagnosing wall thinning in an artificially thinned carbon steel elbow based on changes in modal characteristics |
title_full_unstemmed | Experimental investigation of a method for diagnosing wall thinning in an artificially thinned carbon steel elbow based on changes in modal characteristics |
title_short | Experimental investigation of a method for diagnosing wall thinning in an artificially thinned carbon steel elbow based on changes in modal characteristics |
title_sort | experimental investigation of a method for diagnosing wall thinning in an artificially thinned carbon steel elbow based on changes in modal characteristics |
topic | Estimation of thinning state Wall thinning Curved cylindrical structure Varying modal characteristics |
url | http://www.sciencedirect.com/science/article/pii/S1738573322005277 |
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