Resilient Dams for Malaysia: A Risk-Informed Decision-Making-Based Approach

Catastrophic dam failures result in significant loss of lives and immense property damage worldwide. The causes of dam failures are primarily attributed to three major triggers: climate change, ageing dams, and cyber threats. Understanding the correlation between these factors is vital to provide a...

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Main Authors: Sidek L.M., Ahmad S.A., Yunus A.M., Saman D.H., Basri H., Yusof N.M., Torres A.M., Rohaizi M.S., Azizi A.S.M.
Other Authors: 35070506500
Format: Book chapter
Published: Springer Science and Business Media Deutschland GmbH 2024
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spelling my.uniten.dspace-344342024-10-14T11:19:45Z Resilient Dams for Malaysia: A Risk-Informed Decision-Making-Based Approach Sidek L.M. Ahmad S.A. Yunus A.M. Saman D.H. Basri H. Yusof N.M. Torres A.M. Rohaizi M.S. Azizi A.S.M. 35070506500 58679834900 58906677100 58679062000 57065823300 58905461900 54963844600 58906503900 57295647700 Dam safety Failure modes Quantitative risk analysis Risk-based screening tool Risk-informed decision-making Sungai Perak hydroelectric scheme Catastrophic dam failures result in significant loss of lives and immense property damage worldwide. The causes of dam failures are primarily attributed to three major triggers: climate change, ageing dams, and cyber threats. Understanding the correlation between these factors is vital to provide a comprehensive solution in the dam safety sector. The authors propose a new method called risk-informed decision-making (RIDM). RIDM evaluates the likelihood of loading scenarios, potential failure modes, and economic and social consequences to compute the risks for dams on the Perak River. The study aims to identify probable failure modes, evaluate consequences, and develop mitigation measures and conceptual designs. The study will include several stages, such as gap analysis and dam safety evaluation, followed by a Risk-Based Screening Tool to obtain the initial risk results. Failure mode identification will be made through detailed technical visits and participatory working sessions involving key staff in maintenance, operation, and safety management. Developing a quantitative risk model will quantify the risk according to the specified fundamental failure modes. The final risk results will recommend and evaluate mitigation measures to ensure a resilient dam for a safe community. Additionally, a secure dam safety database system will be developed as an efficient tool to manage various data types to assist the dam owner in decision-making. � The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023. Final 2024-10-14T03:19:45Z 2024-10-14T03:19:45Z 2023 Book chapter 10.1007/978-981-99-3708-0_53 2-s2.0-85185938432 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185938432&doi=10.1007%2f978-981-99-3708-0_53&partnerID=40&md5=bfe455c4a512e480a0fed567fc43b7c6 https://irepository.uniten.edu.my/handle/123456789/34434 Part F2265 767 777 Springer Science and Business Media Deutschland GmbH 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/
topic Dam safety
Failure modes
Quantitative risk analysis
Risk-based screening tool
Risk-informed decision-making
Sungai Perak hydroelectric scheme
spellingShingle Dam safety
Failure modes
Quantitative risk analysis
Risk-based screening tool
Risk-informed decision-making
Sungai Perak hydroelectric scheme
Sidek L.M.
Ahmad S.A.
Yunus A.M.
Saman D.H.
Basri H.
Yusof N.M.
Torres A.M.
Rohaizi M.S.
Azizi A.S.M.
Resilient Dams for Malaysia: A Risk-Informed Decision-Making-Based Approach
description Catastrophic dam failures result in significant loss of lives and immense property damage worldwide. The causes of dam failures are primarily attributed to three major triggers: climate change, ageing dams, and cyber threats. Understanding the correlation between these factors is vital to provide a comprehensive solution in the dam safety sector. The authors propose a new method called risk-informed decision-making (RIDM). RIDM evaluates the likelihood of loading scenarios, potential failure modes, and economic and social consequences to compute the risks for dams on the Perak River. The study aims to identify probable failure modes, evaluate consequences, and develop mitigation measures and conceptual designs. The study will include several stages, such as gap analysis and dam safety evaluation, followed by a Risk-Based Screening Tool to obtain the initial risk results. Failure mode identification will be made through detailed technical visits and participatory working sessions involving key staff in maintenance, operation, and safety management. Developing a quantitative risk model will quantify the risk according to the specified fundamental failure modes. The final risk results will recommend and evaluate mitigation measures to ensure a resilient dam for a safe community. Additionally, a secure dam safety database system will be developed as an efficient tool to manage various data types to assist the dam owner in decision-making. � The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.
author2 35070506500
author_facet 35070506500
Sidek L.M.
Ahmad S.A.
Yunus A.M.
Saman D.H.
Basri H.
Yusof N.M.
Torres A.M.
Rohaizi M.S.
Azizi A.S.M.
format Book chapter
author Sidek L.M.
Ahmad S.A.
Yunus A.M.
Saman D.H.
Basri H.
Yusof N.M.
Torres A.M.
Rohaizi M.S.
Azizi A.S.M.
author_sort Sidek L.M.
title Resilient Dams for Malaysia: A Risk-Informed Decision-Making-Based Approach
title_short Resilient Dams for Malaysia: A Risk-Informed Decision-Making-Based Approach
title_full Resilient Dams for Malaysia: A Risk-Informed Decision-Making-Based Approach
title_fullStr Resilient Dams for Malaysia: A Risk-Informed Decision-Making-Based Approach
title_full_unstemmed Resilient Dams for Malaysia: A Risk-Informed Decision-Making-Based Approach
title_sort resilient dams for malaysia: a risk-informed decision-making-based approach
publisher Springer Science and Business Media Deutschland GmbH
publishDate 2024
_version_ 1814061120618496000
score 13.222552