TY - GEN
T1 - A Feasibility Study for Natural Disaster Simulations Using a Fully Explicit SPH Method in a GPU Environment
AU - Senadheera, H. T.
AU - Asai, M.
AU - Morikawa, D. S.
N1 - Funding Information:
Acknowledgements This work was supported by JSPS KAKENHI Grant Number JP17H02061. This work was also supported by “Joint Usage/Research Centre for Interdisciplinary Large-scale Information Infrastructures” in Japan (Project ID: jh180060-NAH, jh180065-NAH).
Publisher Copyright:
© 2021, Springer Nature Singapore Pte Ltd.
PY - 2021
Y1 - 2021
N2 - Mesh-free particle methods are increasingly being used instead of grid based numerical methods in many engineering applications, including free-surface fluid flows. Smoothed Particle Hydrodynamics (SPH) method is one such meshless, Lagrangian particle method utilized for modeling large deformations or flows with free surfaces. In SPH, the problem domain is discretized into particles without any connectivity and physical quantities of the flow are obtained by tracing the motion of particles. SPH was originally developed for compressible flow and has later been improved to satisfy the incompressible condition by various authors. In typical incompressible smoothed particle hydrodynamics (ISPH) formulations, a semi-implicit integration scheme is applied to particle discretized equations to solve incompressible flow problems. This requires solving linear equations, which takes up a lot of device memory, thus limiting the possibility of carrying out large scale problems. This study explains the application of a fully-explicit time integration scheme for fluid simulations using the ISPH method. In addition, we used a GPU environment for the computer simulations through an authorial program written in CUDA Fortran. Thus, the purposes were to avoid the need of solving linear equations, therefore reducing memory usage and to utilize the parallel processing power of GPU to accelerate the code. On the other hand, GPU is more widely available compared to supercomputer CPUs, which is the generally used environment for ISPH calculations. Dam-break simulations and validation tests were conducted to validate the proposed SPH method. With the proposed method and computational environment, the calculation speed was increased and memory usage was decreased significantly and large fluid simulations could be carried out. Thus, the proposed method and improvements could pave way in simulating large-scale problems, such as tsunami run-up analyses and other natural disaster simulations.
AB - Mesh-free particle methods are increasingly being used instead of grid based numerical methods in many engineering applications, including free-surface fluid flows. Smoothed Particle Hydrodynamics (SPH) method is one such meshless, Lagrangian particle method utilized for modeling large deformations or flows with free surfaces. In SPH, the problem domain is discretized into particles without any connectivity and physical quantities of the flow are obtained by tracing the motion of particles. SPH was originally developed for compressible flow and has later been improved to satisfy the incompressible condition by various authors. In typical incompressible smoothed particle hydrodynamics (ISPH) formulations, a semi-implicit integration scheme is applied to particle discretized equations to solve incompressible flow problems. This requires solving linear equations, which takes up a lot of device memory, thus limiting the possibility of carrying out large scale problems. This study explains the application of a fully-explicit time integration scheme for fluid simulations using the ISPH method. In addition, we used a GPU environment for the computer simulations through an authorial program written in CUDA Fortran. Thus, the purposes were to avoid the need of solving linear equations, therefore reducing memory usage and to utilize the parallel processing power of GPU to accelerate the code. On the other hand, GPU is more widely available compared to supercomputer CPUs, which is the generally used environment for ISPH calculations. Dam-break simulations and validation tests were conducted to validate the proposed SPH method. With the proposed method and computational environment, the calculation speed was increased and memory usage was decreased significantly and large fluid simulations could be carried out. Thus, the proposed method and improvements could pave way in simulating large-scale problems, such as tsunami run-up analyses and other natural disaster simulations.
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U2 - 10.1007/978-981-15-7222-7_24
DO - 10.1007/978-981-15-7222-7_24
M3 - Conference contribution
AN - SCOPUS:85092094583
SN - 9789811572210
T3 - Lecture Notes in Civil Engineering
SP - 275
EP - 290
BT - ICSECM 2019 - Proceedings of the 10th International Conference on Structural Engineering and Construction Management
A2 - Dissanayake, Ranjith
A2 - Mendis, Priyan
A2 - Weerasekera, Kolita
A2 - De Silva, Sudhira
A2 - Fernando, Shiromal
PB - Springer Science and Business Media Deutschland GmbH
T2 - 10th International Conference on Structural Engineering and Construction Management, ICSECM 2019
Y2 - 13 December 2019 through 14 December 2019
ER -