Abstract
In today’s scenario where space is an issue, the increase in population has led to a boom in the construction industry. With the lack of land for construction, the buildings are becoming higher and more complex, so with the increase in the number of stories, it is necessary to make them safe under adverse seismic conditions. Dampers are one way to make the structure earthquake resistant and the optimization of their properties is sometimes required. In this study, the damper properties, i.e., damping and stiffness have been optimized using self-organizing migrating genetic algorithm (SOMGA) and genetic algorithm (GA) technique on a model of 10-storey building which has equal mass, stiffness, etc. on all the floors. The optimized damper properties obtained from SOMGA result in the reduction of 52% of the storey displacement while that of GA is 60% as compared to the undamped model. Both techniques provide better optimized damper properties. It is observed that the optimized damper helps in significant reduction of the seismic response of the structure, thus justifying the need of optimized parameters of dampers.
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Singh, D., Pal, S., Singh, A. (2019). Seismic Analysis of Multistoried Building with Optimized Damper Properties. In: Deep, K., Jain, M., Salhi, S. (eds) Decision Science in Action. Asset Analytics. Springer, Singapore. https://doi.org/10.1007/978-981-13-0860-4_17
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DOI: https://doi.org/10.1007/978-981-13-0860-4_17
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