Smoothed particle hydrodynamics simulation of debris flow on deposition area
Debris flows, highly destructive and rapidly moving mixtures of water, sediment, and rock, pose significant threats to human settlements and infrastructure in mountainous regions. Predicting the deposition patterns of debris flows is crucial for hazard assessment and mitigation. Smoothed Particle Hy...
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my.uniten.dspace-362882025-03-03T15:41:49Z Smoothed particle hydrodynamics simulation of debris flow on deposition area A. Wahab M.K. Mohd Arif Zainol M.R.R. Ikhsan J. Zawawi M.H. Abas M.A. Mohamed Noor N. Abdul Razak N. Bhardwaj N. Mohamad Faudzi S.M. 57210746908 57193313971 55926014300 39162217600 56893346700 25221616600 59149262600 59149852100 57213152247 accuracy assessment computer simulation constitutive equation debris flow depositional environment hydrodynamics particle image velocimetry Debris flows, highly destructive and rapidly moving mixtures of water, sediment, and rock, pose significant threats to human settlements and infrastructure in mountainous regions. Predicting the deposition patterns of debris flows is crucial for hazard assessment and mitigation. Smoothed Particle Hydrodynamics (SPH) has emerged as a valuable numerical simulation technique for modeling debris flow deposition due to its ability to capture complex fluid-solid interactions and particle dynamics. This study focuses on employing SPH simulation to investigate debris flow deposition patterns and assess their accuracy through Particle Image Velocimetry (PIV) validation. The methodology encompasses the discretization of fluid and solid phases into particles, governed by hydrodynamic and constitutive equations, respectively. The coupling of fluid and solid interactions enables the representation of entrainment, transport, and settling of particles, yielding insights into deposition patterns. Twelve case studies are discussed to validate the accuracy and applicability of SPH simulations in reproducing deposition patterns. Additionally, challenges such as numerical stability, parameter sensitivity, and computational efficiency are addressed, along with potential enhancements in modeling techniques. Notably, it was observed that around three specific numerical instances demonstrated an extraordinary level of similarity (2.98%, 7.51% & 9.83%) to the deposition pattern that was observed during the experimental phase. As SPH continues to advance, it holds promise as a reliable tool for assessing debris flow hazards and guiding land-use planning and disaster management efforts in vulnerable regions. ? The Author(s), under exclusive licence to Springer Nature B.V. 2024. Final 2025-03-03T07:41:49Z 2025-03-03T07:41:49Z 2024 Article 10.1007/s11069-024-06675-1 2-s2.0-85194549835 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85194549835&doi=10.1007%2fs11069-024-06675-1&partnerID=40&md5=5d68ea2c4f5bc049d43dfd9719144fcf https://irepository.uniten.edu.my/handle/123456789/36288 120 13 12107 12136 Springer Science and Business Media B.V. Scopus |
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accuracy assessment computer simulation constitutive equation debris flow depositional environment hydrodynamics particle image velocimetry A. Wahab M.K. Mohd Arif Zainol M.R.R. Ikhsan J. Zawawi M.H. Abas M.A. Mohamed Noor N. Abdul Razak N. Bhardwaj N. Mohamad Faudzi S.M. Smoothed particle hydrodynamics simulation of debris flow on deposition area |
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Debris flows, highly destructive and rapidly moving mixtures of water, sediment, and rock, pose significant threats to human settlements and infrastructure in mountainous regions. Predicting the deposition patterns of debris flows is crucial for hazard assessment and mitigation. Smoothed Particle Hydrodynamics (SPH) has emerged as a valuable numerical simulation technique for modeling debris flow deposition due to its ability to capture complex fluid-solid interactions and particle dynamics. This study focuses on employing SPH simulation to investigate debris flow deposition patterns and assess their accuracy through Particle Image Velocimetry (PIV) validation. The methodology encompasses the discretization of fluid and solid phases into particles, governed by hydrodynamic and constitutive equations, respectively. The coupling of fluid and solid interactions enables the representation of entrainment, transport, and settling of particles, yielding insights into deposition patterns. Twelve case studies are discussed to validate the accuracy and applicability of SPH simulations in reproducing deposition patterns. Additionally, challenges such as numerical stability, parameter sensitivity, and computational efficiency are addressed, along with potential enhancements in modeling techniques. Notably, it was observed that around three specific numerical instances demonstrated an extraordinary level of similarity (2.98%, 7.51% & 9.83%) to the deposition pattern that was observed during the experimental phase. As SPH continues to advance, it holds promise as a reliable tool for assessing debris flow hazards and guiding land-use planning and disaster management efforts in vulnerable regions. ? The Author(s), under exclusive licence to Springer Nature B.V. 2024. |
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57210746908 |
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57210746908 A. Wahab M.K. Mohd Arif Zainol M.R.R. Ikhsan J. Zawawi M.H. Abas M.A. Mohamed Noor N. Abdul Razak N. Bhardwaj N. Mohamad Faudzi S.M. |
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Article |
author |
A. Wahab M.K. Mohd Arif Zainol M.R.R. Ikhsan J. Zawawi M.H. Abas M.A. Mohamed Noor N. Abdul Razak N. Bhardwaj N. Mohamad Faudzi S.M. |
author_sort |
A. Wahab M.K. |
title |
Smoothed particle hydrodynamics simulation of debris flow on deposition area |
title_short |
Smoothed particle hydrodynamics simulation of debris flow on deposition area |
title_full |
Smoothed particle hydrodynamics simulation of debris flow on deposition area |
title_fullStr |
Smoothed particle hydrodynamics simulation of debris flow on deposition area |
title_full_unstemmed |
Smoothed particle hydrodynamics simulation of debris flow on deposition area |
title_sort |
smoothed particle hydrodynamics simulation of debris flow on deposition area |
publisher |
Springer Science and Business Media B.V. |
publishDate |
2025 |
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1825816141075841024 |