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Smoothed particle hydrodynamics simulation of debris flow on deposition area

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dc.citedby1
dc.contributor.authorA. Wahab M.K.en_US
dc.contributor.authorMohd Arif Zainol M.R.R.en_US
dc.contributor.authorIkhsan J.en_US
dc.contributor.authorZawawi M.H.en_US
dc.contributor.authorAbas M.A.en_US
dc.contributor.authorMohamed Noor N.en_US
dc.contributor.authorAbdul Razak N.en_US
dc.contributor.authorBhardwaj N.en_US
dc.contributor.authorMohamad Faudzi S.M.en_US
dc.contributor.authorid57210746908en_US
dc.contributor.authorid57193313971en_US
dc.contributor.authorid55926014300en_US
dc.contributor.authorid39162217600en_US
dc.contributor.authorid56893346700en_US
dc.contributor.authorid25221616600en_US
dc.contributor.authorid59149262600en_US
dc.contributor.authorid59149852100en_US
dc.contributor.authorid57213152247en_US
dc.date.accessioned2025-03-03T07:41:49Z
dc.date.available2025-03-03T07:41:49Z
dc.date.issued2024
dc.description.abstractDebris 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.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/s11069-024-06675-1
dc.identifier.epage12136
dc.identifier.issue13
dc.identifier.scopus2-s2.0-85194549835
dc.identifier.spage12107
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85194549835&doi=10.1007%2fs11069-024-06675-1&partnerID=40&md5=5d68ea2c4f5bc049d43dfd9719144fcf
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/36288
dc.identifier.volume120
dc.pagecount29
dc.publisherSpringer Science and Business Media B.V.en_US
dc.sourceScopus
dc.sourcetitleNatural Hazards
dc.subjectaccuracy assessment
dc.subjectcomputer simulation
dc.subjectconstitutive equation
dc.subjectdebris flow
dc.subjectdepositional environment
dc.subjecthydrodynamics
dc.subjectparticle image velocimetry
dc.titleSmoothed particle hydrodynamics simulation of debris flow on deposition areaen_US
dc.typeArticleen_US
dspace.entity.typePublication
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