PARAMETRIC STUDIES ON DESIGN OF WATER TANKS USING GENETIC ALGORITHM

Abstract

expanding world. So water has to be stored and made available as and when needed. And so is an extreme need for large, efficient and together with it economic storage and distribution fuici I ities. A water tank can be defined as a structure that is used for storing water. The importance of this structure came into being since the civilization shifted away from rivers, thereby contributing to the same motive of retaining of water for various streams as drinking, fire suppression, irrigation, agricultural farming, both for plants and livestock, food preparation. chemical manufacturing, as well as many other applications. These structures should have good strength and they should be leak proof. And it is to be strictly inspected that the concrete in these structures should not crack on the water face and should have high tensile strength and low porosity. Regarding the construction of reinforced concrete water storage tanks, there are innumerable variables that impact the selection and the final cost of system improvements. The high variance in rainfall and runoff, availability of alternative at water supply with different reliabilities, demand pattern variability, operational complexity of the system. maintenance requirements, running cost (especially power cost). affordability and willingness to pay for services, will influence the decision on whether a specific type of water storage tank should be implemented, refurbished, replaced. discarded or expanded. '['his, demands for various techniques to assist in finding the optimal solution. in this dissertation report, genetic algorithm, a non-traditional method, have been used for the structural optimization of reinforced concrete intze type water tank and further parametric study has been carried out. Structural optimization is a broad interdisciplinary sphere which entails expertise for coalescing mathematical mastery with engineering and is both intellectually attractive and technologically rewarding. Structural optimization study for many structures such as bridge decks, silos, chimneys, transmission towers etc., has been done and fortitiing reverberations have been obtained. Herein, it is performed on reinforced concrete inize type water tank by using Genetic Algorithms. Genetic algorithms have been developed to assist in searching through complex No solution spaces for the optimum solution. So far. GAs have been applied as search techniques for various engineering problems such as structural design optimization, hydro-Logical runoff predictions, water distribution network evaluation, resource utilization, and pump scheduling, and in this report, it has been applied to the engineering design of water tank, specifically reinforced concrete intze type water tank.