Risk analysis of hydroelectric power station considering identified risk factors based on condition distress rating

Hydroelectric power plant and its infrastructure are very strategic asset to the Nation in providing their services. This study is aimed to analyze the risk associated with structural stability of shotcrete lining on the tunnel and cavern of SIP hydroelectric power station while taking into account...

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Main Authors: Usman F., Banuar N.
Other Authors: 55812540000
Format: Article
Published: Asian Research Publishing Network 2023
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spelling my.uniten.dspace-234812023-05-29T14:40:53Z Risk analysis of hydroelectric power station considering identified risk factors based on condition distress rating Usman F. Banuar N. 55812540000 57190172735 Hydroelectric power plant and its infrastructure are very strategic asset to the Nation in providing their services. This study is aimed to analyze the risk associated with structural stability of shotcrete lining on the tunnel and cavern of SIP hydroelectric power station while taking into account its risk factors. Prior to conducting risk analysis, level of distress rating for every chain age were determined to be considered together. These risks are then analyzed with considering other significant risk factors by quantifying its impact and probability for each risk to generate condition risk for the tunnels and cavern. From this study, by implementing risk analysis in determining condition of shotcrete lining of the tunnel and cavern, the severity of any particular area is defined more precise. The results discovered that the value of risks were identified ranging from 0.05 to 10.08. The highest risk value of 10.08 was discovered at the west wall of the cavern is due to the fact that cavern possess higher assets value need to be preserved. It is concluded that the results from the risk analysis provided more accurate estimation on preventive maintenance and remedial action depending on the operational purposes of the tunnel compared to the individual condition rating without the implementation of risk analysis. � 2006-2017 Asian Research Publishing Network (ARPN). All rights reserved. Final 2023-05-29T06:40:53Z 2023-05-29T06:40:53Z 2017 Article 2-s2.0-85011022981 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011022981&partnerID=40&md5=6acf47c7a4485e3fc2477a5bc34fe050 https://irepository.uniten.edu.my/handle/123456789/23481 12 1 115 120 Asian Research Publishing Network Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Hydroelectric power plant and its infrastructure are very strategic asset to the Nation in providing their services. This study is aimed to analyze the risk associated with structural stability of shotcrete lining on the tunnel and cavern of SIP hydroelectric power station while taking into account its risk factors. Prior to conducting risk analysis, level of distress rating for every chain age were determined to be considered together. These risks are then analyzed with considering other significant risk factors by quantifying its impact and probability for each risk to generate condition risk for the tunnels and cavern. From this study, by implementing risk analysis in determining condition of shotcrete lining of the tunnel and cavern, the severity of any particular area is defined more precise. The results discovered that the value of risks were identified ranging from 0.05 to 10.08. The highest risk value of 10.08 was discovered at the west wall of the cavern is due to the fact that cavern possess higher assets value need to be preserved. It is concluded that the results from the risk analysis provided more accurate estimation on preventive maintenance and remedial action depending on the operational purposes of the tunnel compared to the individual condition rating without the implementation of risk analysis. � 2006-2017 Asian Research Publishing Network (ARPN). All rights reserved.
author2 55812540000
author_facet 55812540000
Usman F.
Banuar N.
format Article
author Usman F.
Banuar N.
spellingShingle Usman F.
Banuar N.
Risk analysis of hydroelectric power station considering identified risk factors based on condition distress rating
author_sort Usman F.
title Risk analysis of hydroelectric power station considering identified risk factors based on condition distress rating
title_short Risk analysis of hydroelectric power station considering identified risk factors based on condition distress rating
title_full Risk analysis of hydroelectric power station considering identified risk factors based on condition distress rating
title_fullStr Risk analysis of hydroelectric power station considering identified risk factors based on condition distress rating
title_full_unstemmed Risk analysis of hydroelectric power station considering identified risk factors based on condition distress rating
title_sort risk analysis of hydroelectric power station considering identified risk factors based on condition distress rating
publisher Asian Research Publishing Network
publishDate 2023
_version_ 1806424035821617152
score 13.211869