Soft Computation of Important Structures

Abstract

Most of the cities are facing several challenges when responding to multiple concurrent fire emergency calls. The problem appears to arise more often than might be expected. The risk time period for predetermined short-term periods of incidents can be calculated. From this, one can select whether the higher or the lower risk period to respond to multiple incidents more efficiently and effectively by solving the municipality's existing resources. In this dissertation, survival analysis (the Kaplan-Meier estimator and Cox hazard model) is utilized to determine the time (Time of the day, day of the week, and various seasons) when the risk of multiple emergencies was expected to be highest or lowest in Jaipur. Various types of incidents most likely to occur were also considered in the survival analysis. The case study in Jaipur observed that the area most needed help with multiple calls during summer weekends from 9 a.m. to 10 p.m. The study clearly demonstrates the potential to find out the risk intensity and hazard analysis based on a data-driven and scientific approach. For various load conditions, such as gravity load, the axial force, shear force, and bending moment of a wind load, hydrostatic load, and a temperature load are compared. Wind load affects more the Axial Force, Shear Force & BM as compared to the hydrostatic load and temperature load.