Cost Minimization Of Reinforced ConcretePile Cap Using Optimization Techniques
| Author(s) | : | Regupathi R, Sugumar R |
| Institution | : | Department of Civil Engineering, Government College of Engineering, Bodinayakanur, Tamilnadu, India |
| Published In | : | Vol. 4, Issue 7 — July 2017 |
| Page No. | : | 745-750 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
In general the optimization techniques enable designers to find the best economical design for the structureunder consideration. In this paper, Cost Minimization of RC pile cap using Optimization techniques such as fminconSQP algorithm is presented. The cost of RC structures is influenced by several cost items including the cost of concreteand reinforcement. Therefore in case of RC structures, the minimum weight design is not necessarily the same as theminimum cost design. In fact, for RC structures the optimum cost design is a compromise between the consumption ofconcrete, reinforcement which minimizes the total cost of the structure and satisfies the design requirements. Thestructure is designed economically without impairing the functional purposes of the structural elements is supposed toserve and not violating provisions given in IS456-2000 & IS 2911 (part I)-2010 using the cross-sectional dimensions &area of longitudinal steel as design variables. An fmincon solver is incorporated with a cost function & constraintfunction as an alternative to traditional iterative methods for cost optimization of RC elements. An fmincon SQPAlgorithm Program has been developed for the cost optimization of reinforced pile cap using MATLAB software. Inorder to validate the developed program for the proposed RC pile caps, conventional design was arrived with manualcalculation and the results were compared.
Regupathi R, Sugumar R, “Cost Minimization Of Reinforced ConcretePile Cap Using Optimization Techniques”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 7, pp. 745-750, July 2017.








