Endurance Time Excitation Functions: Intensifying Dynamic Loads for Seismic Analysis and Design [Paperback]

The Endurance Time Method (ETM) is used for seismic analysis of simple and complex structural systems and civil engineering infrastructure as well as producing optimal and cost effective structural and detail designs.

1 Introduction to the Endurance Time Method and Intensifying Dynamic Load Functions Review Concept of Endurance Time Method Applications of Endurance Time Method Implementation of the Endurance Time Method Intensifying Dynamic Load Functions Simulated Endurance Time Excitations References 2 Objective Functions for Generating Endurance Time Excitation Functions Review Second Generation of Endurance Time Excitations Third Generation of Endurance Time Excitations Fourth Generation of Endurance Time Excitations Fifth Generation of Endurance Time Excitations References 3 Optimization Variable Spaces Review Optimization Variable Space for Simulating Endurance Time Excitations Time Domain Wavelet Decomposition Increasing Sine Functions Parameter Tuning Accuracy of Excitation Simulated with the Proposed Method References 4 Generating ETEFs Based on Linear Spectra Review Simulation of a series Simulation of lc series References 5 Nonlinear Analysis-Based Endurance Time Excitation Generation Review Procedure of Simulating Third Generation Signal Representation and Optimization Algorithm Results Comparison of Dynamic Characteristics of Generated Endurance Time Excitations and Targets References 6 Generating ETEFs Considering Spectral Energy Content Review Procedure of Simulating Fifth Generation Signal Representation and Optimization Algorithm Results Comparison of Dynamic Characteristics of Generated Endurance Time Excitations and Targets Damage Spectra of Generated Endurance Time Excitations vs. Ground Motions References 7 Application of Meta-Heuristic Optimization Methods in Generating ETEFs Review Imperialist Competitive Algorithm Parameter Tuning of ICA Significance of Optimization Space and Initial Population Generating Approal“"