Abstract
Due to enormous computation cost, current residual stress simulation of multipass girth welds are mostly performed using two-dimensional (2D) axisymmetric models. The 2D model can only provide limited estimation on the residual stresses by assuming its axisymmetric distribution. In this study, a highly efficient thermal-mechanical finite element code for three dimensional (3D) model has been developed based on high performance Graphics Processing Unit (GPU) computers. Our code is further accelerated by considering the unique physics associated with welding processes that are characterized by steep temperature gradient and a moving arc heat source. It is capable of modeling large-scale welding problems that cannot be easily handled by the existing commercial simulation tools. To demonstrate the accuracy and efficiency, our code was compared with a commercial software by simulating a 3D multi-pass girth weld model with over 1 million elements. Our code achieved comparable solution accuracy with respect to the commercial one but with over 100 times saving on computational cost. Moreover, the three-dimensional analysis demonstrated more realistic stress distribution that is not axisymmetric in hoop direction.
Original language | English |
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Title of host publication | Materials and Fabrication |
Publisher | American Society of Mechanical Engineers (ASME) |
ISBN (Electronic) | 9780791851685 |
DOIs | |
State | Published - 2018 |
Event | ASME 2018 Pressure Vessels and Piping Conference, PVP 2018 - Prague, Czech Republic Duration: Jul 15 2018 → Jul 20 2018 |
Publication series
Name | American Society of Mechanical Engineers, Pressure Vessels and Piping Division (Publication) PVP |
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Volume | 6B-2018 |
ISSN (Print) | 0277-027X |
Conference
Conference | ASME 2018 Pressure Vessels and Piping Conference, PVP 2018 |
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Country/Territory | Czech Republic |
City | Prague |
Period | 07/15/18 → 07/20/18 |
Funding
This work is funded by the DOE HPC4Mfg Program managed by Lawrence Livermore National Laboratory. R&D was performed at Oak Ridge National Laboratory. Oak Ridge National Laboratory is managed by UT-Battelle, LLC for the U.S. Department of Energy under Contract DE-AC05-00OR22725. This work is funded by the DOE HPC4Mfg Program managed by Lawrence Livermore National Laboratory. R&D was performed at Oak Lawrence Livermore National Laboratory. Oak Ridge National Laboratory is managed by UT- Battelle, LLC for the U.S. Department of Energy under Contract DE-AC05-00OR22725.