Optimal Shape Design of Ghanat Kaval using Finite Element Method and Particle Swarm Optimization

Document Type : Original Article

Authors

1 Master of Science Student, Islamic Azad University, Ferdows Branch., Ferdows., Iran

2 Associate Professor, Department of Civil Engineering, University of Birjand., Birjand., Iran

3 Assistant Professor. Department of Civil Engineering, University of Birjand., Birjand., Iran

4 Associate Professor, Islamic Azad University, Shahr-e-Qods Branch., Theran., Iran

Abstract

Ghanats are water structures of Iranian invention. Groundwater extraction is transferred by Ghanat, with the force of gravity and from underground and away from the evaporation. Structure of Ghanats created in Iran was changed from the used state to unused state, and the resistant structures or Kaval were used in order to prevent the destruction of structure of Kariz. The aim of this study is the optimal shape design of Ghanat Kaval using finite element method and particle swarm optimization. For this purpose, first, 3D modelling of Kaval and it’s around element was implemented in ANSYS software. Then, optimal shape design of Kaval was achieved using particle swarm optimization and linking it to ANSYS software. Weight of Kaval was considered as the objective of optimization problem, and the geometry parameters of Kaval were design variables. Also, stress of the body Kaval (compressive and tension stresses) was considered as constraint. The optimum results were shown that particle swarm optimization had high performance in the optimal shape design of Kaval so that the weight of Kaval in comparison with the existent Kaval was considerably decreased. 

Keywords

References

صدری،ک.، سلامی،ح. 1368. نقش سرمایه‌گذاری و لایروبی در کاهش تلفات آبدهی و حفاظت استان‌های فارس. مجله کشاورزی ایران. جلد 1 و 2، 55-72.
مغربی،م.ف. 1389. بررسی گل آلوده‌سازی آب قنات بلده فردوس در انتقال به باغات و زمین‌های کشاورزی. طرح پژوهشی دانشگاه فردوسی مشهد.
ایزدی،ت. ناظم‌السادات،ج. 1388. ویژگی فیزیکی آبدهی و بررسی امکان ذخیره‌سازی آب قنات کتک ارسنجان. مجله مهندسی آب. سال دوم. 21-30.
ACI. 2008. Building Code Requirements for Structural Concrete (ACI 318-05) and Commentary. American Concrete Institute, Farmington Hills, Michigan.
ANSYS Inc. Theory Reference. 2006. Release 10.0 Documentation for ANSYS, ANSYS Inc.
Eberhart,R.C., Kennedy,J. 1995. A new optimizer using particles swarm theory. Proceedings of the Sixth International Symposium on Micro Machine and Human Science, Nagoya, Japan, 39–43.
Khatibinia,M., Salajegheh,E., SalajeghehJ and Fadaee,M.J. 2012. Reliability–based design optimization of reinforced concrete structures including soil–structure interaction using a discrete gravitational search algorithm and a proposed metamodel. Engineering. Optimiz. 45: 1–19.
Li,L.J., Huang,Z.B., Liu,F., Wu,Q.H. 2007. A heuristic particle swarm optimizer for optimization of pin connected structures. Comput. Struction. 85: 340–349.
Shi,Y., Eberhart,R. 1998. A modified particle swarm optimizer. IEEE International Conference on Evolutionary Computation, IEEE Press, Piscataway, NJ, 69–73.
Rajeev,S and Krishnamoorthy,C.S. 1992. Discrete optimization of structures using genetic algorithm. Journal of Structure. Engineering. ASCE. 118.5: 1233–1250.
Salajegheh,E., Gholizadeh,S and Khatibinia,M. 2008. Optimal design of structures for earthquake loads by a hybrid RBF-BPSO method. Earthq. Engineering. Vibrat. 7, 14–24.
Salajegheh,E., Salajegheh,J., Seyedpoor,S.M and Khatibinia,M. 2009. Optimal design of geometrically nonlinear space trusses using adaptive neuro-fuzzy inference system. Science. Iran. 6.5: 403–414.
Iranian Journal of Irrigation & Drainage
Volume 9, Issue 4 - Serial Number 52
November and December 2015
Pages 561-570

Files

Share

How to cite

Statistics