The aim of the seismic design is to protect the important building such as museums, hospitals, official buildings etc.., and reduce the damages after a seismic event. Many researchers have done a lot of research to get the best solutions to resist earthquakes and protect survival. One of those solutions is base isolation, the main goal of seismic isolation is to shift the fundamental frequency of a structure away from the dominant frequencies of earthquake ground motion and the fundamental frequency of the fixed base-superstructure, the other purpose of an isolation system is to provide an additional means of energy dissipation, thereby reducing the transmitted acceleration into the superstructure. In the present study, a six-story RCC building has been designed and analyzed according to IS Code for seismic analysis by (STAAD PRO V8i) software using response spectrum analysis, the study considered two models one of the models represents conventional building and the second model represents base isolation (BI) building. The results obtained shows the reduction in base shear and storey drift in both direction and increase in the displacement and the time period for the base isolated structure. Finally, parameters such as storey displacement, storey drift, mode and base shear are compared and obtained result where presented by both graphically and in tabular format.
Yield strength of steel is an important property in designing a steel component. The maximum load that material can sustain without undergoing permanent deformation is represented by yield strength. A robust model is purposed, which can accurately predict the yield strength of different steel grades, based on the varying chemical composition of steel from the employed database. The dataset consisting of chemical composition and experimental yield strength of steel rods from a collapsed building sites. MATLAB® was used to generate a regression model such as multivariate regression and linear regression, to predict the yield strength values for different steel grades. A comparative study among the different regression models for RMS error, Max error, and highest accuracy is discussed in this paper. [copyright information to be updated in production process]
The design of tee beams girder bridge members such as deck slab, main girder, and cross girder is automated by using a computation model based on the python ecosystem. The slab, main girder, cross girder section, and reinforcement detailing are generated by using the purposed computational model. The strength and serviceability checks are as per the Indian Road Congress: 112-2011, Code of Practice for Concrete Road Bridges. The model takes the design parameters of dead and live load from Indian Road Congress 5 and 6 as an input and provides structural detailing of elements involved in the tee beam girder bridge system. The validation of the model architect is performed by comparing it with the solved illustration as per the Indian Road Congress norms. The section sizes and the steel requirement is calculated efficiently and with accuracy thus the time required to generate the structural drawings has reduced drastically. Moreover, with help of the purposed model, a more intensive database of tee beam girder bridges including bridge bearings, piers and foundation can be modelled towards the automation of complete reinforced concrete bridge design as per the Indian Road Congress.
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