Abstract
We designed integrated computer-aided engineering (CAE) middleware with a CAE solution for modeling and simulation work to reduce the cost and time of product development. This middleware automates an open-source-based pre/post-processor and solver simultaneously. We construct an open-source task scheduler to perform multiple tasks by using integrated CAE middleware in a heterogeneous cluster computing environment, and to conduct several simulations simultaneously. We also propose a data analyzer to obtain a suitable mesh model for efficient product simulation. The analyzer repeats the analysis with progressively-reduced mesh size until the change of the product displacement value becomes less than 0.1%; then, the mesh size is judged to be optimal, and the analysis result is judged to be accurate. Simulation of a cantilever beam matched the analytical results; this agreement verifies that the middleware is reliable.
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References
Oren TI (2007) The importance of a comprehensive and integrative view of modeling and simulation. In: Proceedings of the 2007 Summer Computer Simulation Conference. Society for Computer Simulation International, pp 996–1006
Topcuoglu H, Hariri S, Wu MY (2002) Performance-effective and low-complexity task scheduling for heterogeneous computing. IEEE Trans Parall Distrib Syst 13(3):260–274
Yu J, Buyya R (2005) A taxonomy of scientific workflow systems for grid computing. ACM Sigmod Rec 34(3):44–49
Ezell SJ, Atkinson RD (2016) The vital importance of high-performance computing to US competitiveness. Information Technology and Innovation Foundation, April, 28
Fahim Youssef, Rahhali Hamza, Hanine Mohamed, Benlahmar El-Habib, Labriji El-Houssine, Hanoune Mostafa, Eddaoui Ahmed (2018) Load balancing in cloud computing using meta-heuristic algorithm. J Inf Process Syst 14(3):569–589
Elastic Compute Cloud (EC2) (2018). http://aws.amazon.com/ec2
Keegan N, Ji SY, Chaudhary A, Concolato C, Yu B, Jeong DH (2016) A survey of cloud-based network intrusion detection analysis. Hum-Centric Comput Inf Sci 6(1):19
Zhu W, Lee C (2016) A security protection framework for cloud computing. J Inf Process Syst 12(3):538–547
Jean-Pierre A (2013) Beginning with Code\_Aster A Practical Introduction to finite element method using Code\_Aster Gmsh and Salome. https://www.code-aster.org
ParaView (2018). https://www.paraview.org
ANSYS (2018). http://www.ansys.com
Midas-NFX (2018). http://www.midasit.com
ABAQUS (2018). https://www.3ds.com/ko/products-services/simulia/products/abaqus/
Dhondt G, Wittig K (2018) Calculix: a three-dimensional structural finite element program. http://www.calculix.de
OpenFOAM (2018). https://openfoam.org
Elmer (2018). https://www.csc.fi/web/elmer/elmer
Berger MJ, Colella P (1989) Local adaptive mesh refinement for shock hydrodynamics. J Comput Phys 82(1):64–84
Dincel AT, Akbarov SD (2017) Mathematical modelling and 3d fem analysis of the influence of initial stresses on the err in a band cracks front in the rectangular orthotropic thick plate. Comput Mater Cont 53(3):249–270
Hong M, Jeon JH, Yum HS, Lee SH (2016) Plausible mass-spring system using parallel computing on mobile devices. Hum-Centr Comput Inf Sci 6(1):23
Son of Grid Engine (2018). https://arc.liv.ac.uk/trac/SGE
Jung D, Jeong H, Kim J, Lee D, Kim M (2017) The resource running time manager for integrated environment. Cluster Comput 1–10
Python (2018). https://www.python.org
PHP (2018). http://php.net
Gite VG (1998) Linux Shell Scripting Tutorial Ver. 1.0
MySQL (2018). https://www.mysql.com
mysql-connector-python (2018). https://pypi.python.org/pypi/mysql-connector-python/2.0.4
python-daemon (2018). https://pypi.python.org/pypi/python-daemon
python-lockfile (2018). https://pypi.python.org/pypi/lockfile/0.9.1
Augarde CE, Deeks AJ (2008) The use of Timoshenko’s exact solution for a cantilever beam in adaptive analysis. Finite Elements Anal Des 44(9–10):595–601
Acknowledgements
This work was supported by Korea Institute of Science and Technology Information (KISTI) and Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (NRF-2016R1C1B1008330).
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Jung, D., Lee, D., Kim, M. et al. Mesh convergence test system in integrated platform environment for finite element analysis. J Supercomput 76, 5244–5258 (2020). https://doi.org/10.1007/s11227-019-02865-y
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DOI: https://doi.org/10.1007/s11227-019-02865-y