Cost Optimization of Reinforced Concrete Structure Elements

Siddhant Lakkad*, V. R. Panchal**
* Department of Structural Engineering, Chandubhai S. Patel Institute of Technology, Charotar University of Science and Technology, Changa, Gujarat, India.
** Department of Civil Engineering, Chandubhai S. Patel Institute of Technology, Charotar University of Science and Technology, Changa, Gujarat, India.
Periodicity:March - May'2019
DOI : https://doi.org/10.26634/jste.8.1.15876

Abstract

Now in current practice, the whole world is in the race of looking forward to earn maximum profit. A structural engineer’s goal is to prepare an ideal solution for the design of structurewhich istaken in use. In this paper, the present work deals with the aim of achieving the optimal and ideal design of reinforced concrete structures, reducing size and reinforcement for beam members and column members in multi - bay and multi - storey structures. Generally, in current practice to optimize cost, trial and error method has been used in which numbers of models are developed in software likes STAAD PRO, ETABS, STRUDS, etc. But this method is quite complex and having less accuracy thus there is a need to adopt one proper optimization technique which enables engineer to find and to prepare the ideal design for the structure which gives more accuracy. So, in this paper, for cost optimization of reinforced concrete (RC) framed structure, MINLP (Multi-Integer Non-Linear Programming) technique is adopted. Without changingthe functional criteria of beams and columns as per provisions given in IS456-2000, the structure is designed safely and economically. Programming of the design of structural elements beam and column has been done using MATLAB program. At the end of the study, the results of the optimized model using MINLP technique and manually optimized method are compared.This optimization task reduces 24.76% of the total approximate cost in beams and 13.79% in columns.

Keywords

Cost Optimization, Reinforced Concrete Structure, MINLP Technique.

How to Cite this Article?

Lakkad, S., & Panchal, V. R. (2019). Cost Optimization of Reinforced Concrete Structure Elements, i-manager's Journal on Structural Engineering, 8(1), 18-28. https://doi.org/10.26634/jste.8.1.15876

References

[1]. Babiker, S., Adam, F., & Mohamed, A. (2012). Design optimization of reinforced concrete beams using artificial neural network. International Journal of Engineering Inventions, 1(8), 07-13.
[2]. Balling, R. J. (1993). How to optimize reinforced concrete systems. In Proceedings of the Symposium on Structural Engineering in Natural Hazards Mitigation. ASCE, Irvine, CA, USA.
[3]. Brandt, A. M. (Ed.). (1998). Optimization methods for material design of cement-based composites. London: CRC Press. https://doi.org/10.1201/9781482271768
[4]. de Larrard, F., & Sedran, T. (1996). Computer-Aided Mix Design: Predicting Final Result. The Magazine of the American Concrete Institute, 18(12), 178-186. https://www.sid.ir/en/journal/ViewPaper.aspx?ID=67371
[5]. Deaton, J. B. (2005). A finite element approach to reinforced concrete slab design (Doctoral Dissertation), Georgia Institute of Technology.
[6]. Ganju, T. N. (1996). Spreadsheeting mix designs. Concrete International, 18(12), 35-38.
[7]. Goodchild, H. C., & Lupton, J. (1999). Spreadsheets and the structural engineer. The Structural Engineer, 77, 326-334.
[8]. Guerra, A., & Kiousis, P. D. (2006). Design optimization of reinforced concrete structures. Computers and Concrete, 3(5), 313-334. https://doi.org/10.12989/cac. 2006.3.5.313
[9]. Kulkarni, A. B., & Rojiani, K. B. (1994). An object- oriented approach for reinforced concrete design. In Proceedings of the 1st Congress on Computing in Civil Engineering (pp. 161-168). ASCE.
[10]. Kwakye, A. A. (1997). Construction Project Administration in Practice. USA: Routledge.
[11]. Lucas, W. K., & Roddis, W. M. (1996). Constraint-based reasoning for optimal concrete design and th detailing. In Proceedings of 12 Conference in Conjunction with Structures Congress XIV, Chicago, Illinois, United States. ASCE. (pp. 154-165).
[12]. Mather, K., & Rashwan, S. (1997). Model for ready mix concrete optimization. In Proceedings of the 1997 Annual Canadian Society for Civil Engineering (pp. 2-6).
[13]. Regupathi, R. (2017). Cost optimization of multistoried RC framed structure using hybrid genetic algorithm. International Research Journal of Engineering and Technology (IRJET), 4(7), 888-896.
[14]. Umar, H., Ahmad, A., Ahmad, S. A., & Huda, S. (2017). Cost optimization of RC godown. International Journal of Civil Engineering and Technology (IJCIET), 8(3), 244-251.
[15]. Vitaliano, W. J. (1994). Three design to cost myths. In Proceedings of International Conference of the Society of American Value Engineers (pp. 250-255).
[16]. Walden, Lee, N., Wilkerson, & Steve. (1996). Automation of concrete design. The Magazine of The American Concrete Institute, 18, 148-156.
[17]. Young, J. A. (1997). Design phase cost control. Transactions of American Association of Cost Engineers, 24-27. https://search.proquest.com/openview/714f43 378a88e5edf2787051d5dcb5ff/1?pq-origsite=gscholar &cbl=27161)
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