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Civil-Comp Proceedings
ISSN 1759-3433 CCP: 101
PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED, GRID AND CLOUD COMPUTING FOR ENGINEERING Edited by:
Paper 47
Cloud Computing based MPI/OpenMP Parallelization of the Harmonic Coupled Finite Strip Method applied to Large Displacement Stability Analysis of Prismatic Shell Structures M. Hajdukovic1, D.D. Milašinovic2, D. Goles2, M. Nikolic1, P. Maric1, Z. Zivanov1 and P.S. Rakic1
1University of Novi Sad, Faculty of Technical Sciences, Novi Sad, Serbia
, "Cloud Computing based MPI/OpenMP Parallelization of the Harmonic Coupled Finite Strip Method applied to Large Displacement Stability Analysis of Prismatic Shell Structures", in , (Editors), "Proceedings of the Third International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering", Civil-Comp Press, Stirlingshire, UK, Paper 47, 2013. doi:10.4203/ccp.101.47
Keywords: cloud computing, MPI, OpenMP, harmonic coupled finite strip method, prismatic reinforced concrete structures.
Summary
This paper discusses the cloud computing based approach for parallelization of large displacement stability analysis of orthotropic prismatic shell structures with simply supported boundary conditions along the diaphragm-supported edges. The harmonic coupled finite strip method (HCFSM) is reviewed, followed by the description of the software for nonlinear analysis of reinforced concrete (RC) structures.
Theoretical and numerical analysis of RC folded plates, taking into account the viscoelastoplastic properties of concrete and reinforcing steel, was carried out. Particular emphasis is given to the study of ultimate strength and deformation of these materials. On the basis of rheological-dynamical analogy
(RDA), proposed by Milasinovic [1], the so-called rheological-dynamical working diagrams of concrete and steel are constructed, representing simultaneous stress-strain pairs. Through a series of numerical analyses of various types of prismatic folded-plates the usefulness of the RDA formulation is duly justified.
However, in the case of the geometric stiffness-matrix computation to solve the large deflection and the post-buckling problems, couples of all series terms in the HCFSM formulation increases computation time greatly when a large number of series terms is used.
In order to cope with dramatic increase of computation time due to coupling of all series terms in HCFSM formulation, a combined application of MPI and OpenMP parallelization methods in the cloud computing environment is discussed. The experimental results show that rational usage of cloud resources can lead to significant performance improvements; the achieved speedups are very close to the maximum ones.
References
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