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— The performance of a stuctural sytem can be evaluated resorting to non-linear static analysis. This involves the estimation of the structural strength capacities at desired performance level. This study aims at evaluating and comparing... more
— The performance of a stuctural sytem can be evaluated resorting to non-linear static analysis. This involves the estimation of the structural strength capacities at desired performance level. This study aims at evaluating and comparing the response of five reinforced concrete building systems by the use of different methodologies namely the ones described by the ATC 40 and the FEMA 273 using nonlinear static procedures , with described acceptance criteria. Some results are also compared with the nonlinerar dynamic analysis. The methodologies are appllied to 3 storey frames sysytem with and without vertical irregularity, both designed as per the IS 456-2000 and IS 1893-2002 (Part II) in the context of Performance Based Seismic Design procedures. Present study aims towards doing Nonlinear Static Pushover Analysis of G +3 medium rise RCC residential building frame which is to be designed by Convential Designe Methodology. However before exploring actual RCC residential building , a fundamental understanding of a Capacity Design Method has been obtained through the solution of G+3 RCC building by conventional method. A Nonlinear Static Anlysis (Pushover Anlysis) has been used to obatin the inelastic deformation capabilities of frame. It is found that irregularity in elevation of the building reduces the performance level of stucture and there is also decrease in deformation or displacement of the building.
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Pan evaporation and its estimation is important in lake hydrology. Artificial Neural Network is used for estimation of pan evaporation by designing a causal network where pan evaporation is estimated from rainfall, sunshine hours, wind... more
Pan evaporation and its estimation is important in lake hydrology. Artificial Neural Network is used for estimation of pan evaporation by designing a causal network where pan evaporation is estimated from rainfall, sunshine hours, wind speed, relative humidity and temperature.
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests: