scholarly journals Dam Breach Simulation with the Material Point Method

Computation ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 8
Author(s):  
Chendi Cao ◽  
Mitchell Neilsen

Dam embankment breaches caused by overtopping or internal erosion can impact both life and property downstream. It is important to accurately predict the amount of erosion, peak discharge, and the resulting downstream flow. This paper presents a new model based on the material point method to simulate soil and water interaction and predict failure rate parameters. The model assumes that the dam consists of a homogeneous embankment constructed with cohesive soil, and water inflow is defined by a hydrograph using other readily available reach routing software. The model uses continuum mixture theory to describe each phase where each species individually obeys the conservation of mass and momentum. A two-grid material point method is used to discretize the governing equations. The Drucker–Prager plastic flow model, combined with a Hencky strain-based hyperelasticity model, is used to compute soil stress. Water is modeled as a weakly compressible fluid. Analysis of the model demonstrates the efficacy of our approach for existing examples of overtopping dam breach, dam failures, and collisions. Simulation results from our model are compared with a physical-based breach model, WinDAM C. The new model can capture water and soil interaction at a finer granularity than WinDAM C. The new model gradually removes the granular material during the breach process. The impact of material properties on the dam breach process is also analyzed.

2017 ◽  
Vol 175 ◽  
pp. 365-372 ◽  
Author(s):  
Alba Yerro ◽  
Alexander Rohe ◽  
Kenichi Soga

2013 ◽  
Vol 10 (04) ◽  
pp. 1350014 ◽  
Author(s):  
SHUANGZHEN ZHOU ◽  
XIONG ZHANG ◽  
HONGLEI MA

In this paper, a three-dimensional material point human head model is constructed from the computed tomography (CT) scanned images of an adult male volunteer, and used to study the dynamic response of human head under the impact of a three-dimensional cylindrical lead projectile with a speed of 6.4 m/s. The model consists of skull bone, brain tissue and membrane of human head, which is close to the real one. The skull and membrane are modeled by an elastic constitutive model, and the brain tissue is modeled by an anisotropic viscoelastic constitutive model. These constitutive models have been implemented in our three-dimensional explicit material point method code, MPM3D, and is verified by comparing its numerical results for a ball impact problem with those obtained by LS-DYNA. The simulation results help illustrate the response of skull bone, membrane and brain tissues subjected to impact, which contributes to the understanding of the biomechanics and mechanisms of head injury.


2009 ◽  
Vol 419-420 ◽  
pp. 501-504
Author(s):  
Wei Dong Chen ◽  
Zhong Zhang

The basic theory of material point method (MPM), which is a new meshfree method,was briefly introduced in this paper.MPM takes advantage of both Eurlerian and Lagrangian methods. It avoids the mesh distortion and tangling issues associated with Lagrangian methods and the advection errors associated with Eulerian methods. A MPM computational code called MPM-EXPLICIT with the Von-mises material strength model and Shock equation of state was developed in FORTRAN 90, and was used to compute various impact problems. The calculated result and experimental result were compared to confirm the accuracy of the code. The results obtained by using the MPM, FEM and SPH were compared. It shows that MPM possesses many prominent features. This study indicates that the material point method is an efficient and promising method for simulating the impact problems.


Author(s):  
Xuchen Han ◽  
Theodore F. Gast ◽  
Qi Guo ◽  
Stephanie Wang ◽  
Chenfanfu Jiang ◽  
...  

2021 ◽  
Vol 112 ◽  
pp. 103904
Author(s):  
Fabricio Fernández ◽  
Jhonatan E.G. Rojas ◽  
Eurípedes A. Vargas ◽  
Raquel Q. Velloso ◽  
Daniel Dias

2018 ◽  
Vol 37 (4) ◽  
pp. 1-14 ◽  
Author(s):  
Yuanming Hu ◽  
Yu Fang ◽  
Ziheng Ge ◽  
Ziyin Qu ◽  
Yixin Zhu ◽  
...  

2018 ◽  
Vol 176 ◽  
pp. 170-181 ◽  
Author(s):  
Zhen-Peng Chen ◽  
Xiong Zhang ◽  
Kam Yim Sze ◽  
Lei Kan ◽  
Xin-Ming Qiu

2006 ◽  
Vol 39 (11) ◽  
pp. 2074-2086 ◽  
Author(s):  
James E. Guilkey ◽  
James B. Hoying ◽  
Jeffrey A. Weiss

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