Reducing Computational and Memory Cost of Substructuring Technique in Finite Element Models

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Kadkhodaee Mohammad Hadi; MOSLEMI HAMID

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Journal Paper

Paper Information

Journal: JOURNAL OF NUMERICAL METHODS IN CIVIL ENGINEERING Year:2018 | Volume:2 | Issue:3 Page(s): 45-57

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Title

Reducing Computational and Memory Cost of Substructuring Technique in Finite Element Models

Author(s)

Kadkhodaee Mohammad Hadi | MOSLEMI HAMID | Issue Writer Certificate

Keywords

Substructuring

Finite element method

Structural optimization

Computational cost

Memory cost

Abstract

Substructuring in the Finite element method is a technique that reduces Computational cost and memory usage for analysis of complex structures. The efficiency of this technique depends on the number of substructures in different problems. Some subdivisions increase Computational cost, but require little memory usage and vice versa. In the present study, the cost functions of computations and memory usage are extracted in terms of number of subdivisions and optimized mathematically. The results are presented in the form of tables which recommend the proper Substructuring for different number of elements. A combined case is also considered which investigates balanced reduction of computational and Memory cost for 2D problems. Several numerical examples are analyzed numerically to demonstrate the abilities and efficiency of the proposed computational algorithm for structured and unstructured mesh.

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APA: Copy

Kadkhodaee, Mohammad Hadi, & MOSLEMI, HAMID. (2018). Reducing Computational and Memory Cost of Substructuring Technique in Finite Element Models. JOURNAL OF NUMERICAL METHODS IN CIVIL ENGINEERING, 2(3), 45-57. SID. https://sid.ir/paper/354634/en

Vancouver: Copy

Kadkhodaee Mohammad Hadi, MOSLEMI HAMID. Reducing Computational and Memory Cost of Substructuring Technique in Finite Element Models. JOURNAL OF NUMERICAL METHODS IN CIVIL ENGINEERING[Internet]. 2018;2(3):45-57. Available from: https://sid.ir/paper/354634/en

IEEE: Copy

Mohammad Hadi Kadkhodaee, and HAMID MOSLEMI, “Reducing Computational and Memory Cost of Substructuring Technique in Finite Element Models,” JOURNAL OF NUMERICAL METHODS IN CIVIL ENGINEERING, vol. 2, no. 3, pp. 45–57, 2018, [Online]. Available: https://sid.ir/paper/354634/en

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