TY - GEN
T1 - Large-scale parallel thermal elastic-plastic welding simulation using balancing domain decomposition method
AU - Yusa, Yasunori
AU - Murakami, Yuma
AU - Okada, Hiroshi
N1 - Publisher Copyright:
Copyright © 2019 ASME.
PY - 2019
Y1 - 2019
N2 - From the mechanical point of view, welding processes can be modeled as a coupling problem between heat conduction and thermal elastic–plastic problems. Such a welding mechanics problem generally requires a large amount of computational time due to its nonlinearity as well as a lot of time steps with a moving heat source. To overcome this difficulty, we are developing a large-scale welding simulator based on the domain decomposition method, which is one of parallel finite element methods. In the present paper, the methodology of the domain decomposition method that is applied to welding analysis is presented, followed by the algorithm. Then, a bead-on-plate problem, which is a popular benchmark problem in the field of computational welding mechanics, was analyzed by the simulator. The bead-on-plate problem was successfully analyzed within very small numbers of iteration steps of the Newton–Raphson and conjugate gradient methods.
AB - From the mechanical point of view, welding processes can be modeled as a coupling problem between heat conduction and thermal elastic–plastic problems. Such a welding mechanics problem generally requires a large amount of computational time due to its nonlinearity as well as a lot of time steps with a moving heat source. To overcome this difficulty, we are developing a large-scale welding simulator based on the domain decomposition method, which is one of parallel finite element methods. In the present paper, the methodology of the domain decomposition method that is applied to welding analysis is presented, followed by the algorithm. Then, a bead-on-plate problem, which is a popular benchmark problem in the field of computational welding mechanics, was analyzed by the simulator. The bead-on-plate problem was successfully analyzed within very small numbers of iteration steps of the Newton–Raphson and conjugate gradient methods.
KW - Computational welding mechanics
KW - Domain decomposition method
KW - Large-scale analysis
KW - Parallel computing
KW - Thermal elastic–plastic analysis
UR - https://www.scopus.com/pages/publications/85076035158
U2 - 10.1115/PVP2019-93237
DO - 10.1115/PVP2019-93237
M3 - Conference contribution
AN - SCOPUS:85076035158
T3 - American Society of Mechanical Engineers, Pressure Vessels and Piping Division (Publication) PVP
BT - Computer Technology and Bolted Joints
PB - American Society of Mechanical Engineers (ASME)
T2 - ASME 2019 Pressure Vessels and Piping Conference, PVP 2019
Y2 - 14 July 2019 through 19 July 2019
ER -