AI SearchCUDA-based solver in AEM for large deformation of extra-large structures
Call Number: AIT Thesis no.ST-25-08 Material type:
SeriesSeries: Asian Institute of Technology. Thesis ; no. ST-25-08Publication details: Pathum Thani, Thailand : Asian Institute of Technology, 2025Description: 44 leaves : ill.+ 1 online resourceSubject(s): Online resources: Dissertation note: Thesis (M. Eng.) - Asian Institute of Technology, 2025 Summary: This research topic aim to create a stable and expandable framework of the large deformation analysis of the reinforce concrete structure. The AEM, known for the ability to accurately simulate large deformation including crack propagation of the reinforce concrete material is aiming for high performance computing to accommodate the future need for more complex and sheer size of the problem. The new framework, inspired by the original code in Fortran is redeveloped into C++ for its superior versatility, expandability and memory management. The newly developed frame work is integrated with cuda-based incomplete LU preconditioned conjugate gradient solver to help solve large sparse PDE produce by AEM. The results show that redeveloped AEM is stable, memory safe, and can solve linear elastic problem and nonlinear with tension cracks.
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Asian Institute of Technology Library Archives | AIT Thesis no.ST-25-08 (Browse shelf(Opens below)) | 1 | Not for loan |
A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Structural Engineering
Thesis (M. Eng.) - Asian Institute of Technology, 2025
This research topic aim to create a stable and expandable framework of the large deformation analysis of the reinforce concrete structure. The AEM, known for the ability to accurately simulate large deformation including crack propagation of the reinforce concrete material is aiming for high performance computing to accommodate the future need for more complex and sheer size of the problem. The new framework, inspired by the original code in Fortran is redeveloped into C++ for its superior versatility, expandability and memory management. The newly developed frame work is integrated with cuda-based incomplete LU preconditioned conjugate gradient solver to help solve large sparse PDE produce by AEM. The results show that redeveloped AEM is stable, memory safe, and can solve linear elastic problem and nonlinear with tension cracks.
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