Optimum Cost Design of Raft Foundation
Prashant S. Kilche1, V. G. Sayagavi2, N. G. Gore3, P. J. Salunke4
1Mr. Prashant S. Kilche, (PG Student) Department of Civil Engineering, MGM College of Engineering and Technology, Navi Mumbai, Maharashtra, India.
2V.G.Sayagavi, Professor, Department of Civil Engineering, MGM College of Engineering and Technology, Navi Mumbai, Maharashtra, India.

3N.G. Gore, Professor, Department of Civil Engineering, MGM’s College of Engg and Technology, Navi Mumbai, India.
4P. J. Salunke, Professor, Department of Civil Engineering, MGM College of Engineering and Technology, Navi Mumbai, Maharashtra, India.
Manuscript received on September 04, 2015. | Revised Manuscript received on September 14, 2015. | Manuscript published on September 30, 2015. | PP: 5-7 | Volume-2 Issue-10, September 2015. | Retrieval Number: J03320921015
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Abstract: The mat foundation is basically one large continuous footing upon which the building rests. In this case, the total gross bearing pressure at the mat soil interface cannot exceed the allowable bearing strength of the soil. The system is used when the soil bearing capacity is low, and it may prove to be more economical when more than about one-half of the plan area of a building is required for single footings; it also provides a uniform excavation depth. The present investigation deals with the economically optimized and sensitivity design of raft foundation, in which sensitive part mainly depends upon geotechnical aspects, i.e. bearing capacity and settlement of the underlying soil. The algorithm handles the problem-specific constraints using a internal penalty function approach. The optimization procedure controls all geotechnical and structural design constraints to assure that the structure will not overturn and that stresses in the raft foundation and soil do not exceed the strength of the respective materials while reducing the overall cost of the structures. The cost of the raft foundation has been considered as the objective function and the design requirements have been imposed as side and behavioural constraints. The model is analyzed and design by using MATLAB software. Optimization is formulated is in nonlinear programming problem (NLPP) by using sequential unconstrained minimization technique (SUMT).
Keywords: Raft foundation, Optimum cost design.