Intelligent Computational Paradigms in Earthquake Engineering

List of Figures

Chapter I: Improved Seismic Design Procedures and Evolutionary Tools

Figure 1: EC8 2% damped spectrum and scaled spectra of Table 1 records
Figure 2: (a) A typical artificial accelerogram, (b) 2.5% damped response spectra of EC8 and of the artificial accelerogram of Figure 2a
Figure 3: Modeling of nonlinear behaviour: The fiber approach
Figure 4: Six-story space frame
Figure 5: Seismic performance of the five optimum designs: Profiles of median maximum recorded interstory drifts of each story
Figure 6: Time histories of maximum interstory drift ( ? max) for the Duzce earthquake (Lighter lines correspond to the optimum design of the MmRS procedure)

Chapter II: Applying Neural Networks for Performance-Based Design in Earthquake Engineering

Figure 1: Timber beam (normal service and fire conditions)
Figure 2: Neural network agreement, N = 10
Figure 3: Neural network prediction, N = 10
Figure 4: Neural network agreement, N = 50
Figure 5: Neural network prediction, N = 50
Figure 6: Frame under earthquake excitation

Chapter III: Evolutionary Seismic Design for Optimal Performance

Figure 1: Typical pre-Northridge type of damage to moment resisting frame connections: (a) Fracture at a fuzed zone, (b) column flange "divot" fracture (Adapted from FEMA, 2000b)
Figure 2: Portal frame analytical model used in the design example and the input ground motion records (Adapted from Alimoradi, 2004)
Figure 3: Fitness trajectories for portal frame with various connections (Adapted from Alimoradi, 2004)
Figure 4: Distribution of designs in objective space for portal frame with ACN-1: (a) Collapse prevention performance and...

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