2018
DOI: 10.1007/s10064-018-1329-z
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Numerical modelling of the long runout character of 2015 Shenzhen landslide with a general two-phase mass flow model

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Cited by 17 publications
(18 citation statements)
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“…This solves the long-standing dilemma of mass mobility, and shows that erosion can enhance the mass flow mobility. The importance of the Pudasaini and Fischer 27 mechanical erosion model for two-phase mass flows consisting of viscous fluid and solid particles are increasingly realized in recent simulations of mixture mass flows considering the real catastrophic events 6,48,[55][56][57][58][59][60] . These modeling approaches have clearly indicated how the mechanical erosion model could appropriately simulate the actual flow dynamics, surge development, run-out or mobility, and deposition morphology based on the mechanical erosion rates and the erosion-induced momentum productions.…”
mentioning
confidence: 99%
“…This solves the long-standing dilemma of mass mobility, and shows that erosion can enhance the mass flow mobility. The importance of the Pudasaini and Fischer 27 mechanical erosion model for two-phase mass flows consisting of viscous fluid and solid particles are increasingly realized in recent simulations of mixture mass flows considering the real catastrophic events 6,48,[55][56][57][58][59][60] . These modeling approaches have clearly indicated how the mechanical erosion model could appropriately simulate the actual flow dynamics, surge development, run-out or mobility, and deposition morphology based on the mechanical erosion rates and the erosion-induced momentum productions.…”
mentioning
confidence: 99%
“…Therefore, laboratory or field experiments (Iverson et al, 2011; de Haas and van Woerkom, 2016;Lu et al, 2016;Lanzoni et al, 2017;Li et al, 2017;Pilvar et al, 2019;Baselt et al, 2021) and theoretical modeling (Le and Pitman, 2009;Pudasaini, 2012;Pudasaini and Mergili, 2019) remain the major source of knowledge in landslide and debris flow dynamics. Recently, there has been a rapid increase in comprehensive numerical modeling for mass transports (McDougall and Hungr, 2005;Medina et al, 2008;Cascini et al, 2014;Frank et al, 2015;Iverson and Ouyang, 2015;Cuomo et al, 2016;Mergili et al, 2020a, b;Qiao et al, 2019;Liu et al, 2021). However, to a certain degree, numerical simulations are approximations of the physical-mathematical model equations.…”
Section: Introductionmentioning
confidence: 99%
“…focused on the symmetric issues in the flow in different rotational symmetries and the obstacle shapes employing the general two-phase mass flow model (Pudasaini 2012) and the open source computational tool r.avaflow. Qiao et al (2018) also used the same model to simulate and analyze the run out characteristics of the catastrophic landslide that occurred in 2015 at Hongao construction waste dumpsite in the Guangming New District of Shenzhen, China. The two-phase mass flow model (Pudasaini 2012) is also employed to construct a generalized quasi two-phase bulk mixture model Pokhrel et al (2018), and an extended quasi-two phase mixture model (Khattri and Pudasaini 2018) capturing more physics of two-phase mass flows.…”
Section: Introductionmentioning
confidence: 99%
“…In most of the existing works, numerical experiments were carried on by taking constant upstream slope (Pudasaini 2012;Kafle 2014;Pudasaini 2014;Kafle et al 2016;Kattel et al 2016;Kafle and Tuladhar 2018;Kattel et al 2018;Qiao et al 2018;Kafle 2019;). This may not be the case in many real field scenarios.…”
Section: Introductionmentioning
confidence: 99%