2019
DOI: 10.1016/j.compgeo.2019.103137
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Evaluation of impact force of rock landslides acting on structures using discontinuous deformation analysis

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Cited by 38 publications
(2 citation statements)
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“…By employing explicit solutions for governing equations, DEM has a clear physical meaning, while the considered domain is usually limited because element size needs to be relatively small. As a representative of implicit DEMs, DDA method applies constant strain elements to reproduce blocks in the continuum parts and springs on the boundaries of the blocks to determine the relationships between relative displacements and forces [18][19][20][21][22]. Due to the difficulty of determining mechanical parameters for springs, there is the possibility of inaccurate simulations in transition from continuity to discontinuity.…”
Section: A Hybrid Methods Of Pfe/iementioning
confidence: 99%
“…By employing explicit solutions for governing equations, DEM has a clear physical meaning, while the considered domain is usually limited because element size needs to be relatively small. As a representative of implicit DEMs, DDA method applies constant strain elements to reproduce blocks in the continuum parts and springs on the boundaries of the blocks to determine the relationships between relative displacements and forces [18][19][20][21][22]. Due to the difficulty of determining mechanical parameters for springs, there is the possibility of inaccurate simulations in transition from continuity to discontinuity.…”
Section: A Hybrid Methods Of Pfe/iementioning
confidence: 99%
“…However, the estimation of the released volume and the prediction of the sequential flow paths of the moving mass for a landslide-prone area are still challenging tasks because of their high degree of uncertainty. Numerical simulations, founded on physics-based mechanical models (Kuo et al, 2009(Kuo et al, , 2011(Kuo et al, , 2013Mergili et al, 2020), discrete numerical approaches (Wu, 2010;Lo et al, 2011;Song et al, 2017;Yu et al, 2019) or statistics-based empirical models (Scheidegger, 1973;Manzella and Labiouse, 2013;Chen et al, 2014;Zhan et al, 2017), are common tools for risk assessment or for evaluating mitigation or remediation measures.…”
Section: Introductionmentioning
confidence: 99%