COMPUTATIONAL METHODS IN APPLIED SCIENCE AND ENGINEERING ; COMPUTATIONAL METHODS IN APPLIED SCIENCE AND ENGINEERING; CONTENTS ; PREFACE ; PARAMETRIC STUDY ON BUFFETING BEHAVIOR OF THE SUSPENSION BRIDGES ; ABSTRACT ; 1. INTRODUCTION; 2. ASSUMPTIONS ; 3. FREE VIBRATIONAL ANALYSIS ; 4. EVALUATION OF BUFFETING RESPONSE OF SUSPENSION BRIDGES ; 4.1. Aerodynamic Forces on the Bridge ; 4.2. Finite Element Approach ; 4.2.1. Mode by Mode Method ; 4.2.2. Multi-mode Method ; 4.3. Continuum Approach
5. EVALUATION OF THE TRANSIENT RESPONSE OF THE BRIDGE WITH INITIAL CONDITIONS (IN THE VICINITY OF THE FLUTTER SPEED) 6. NUMERICAL STUDY ; 6.1. Buffeting Responses ; 6.2. Effect of Number of Modes on the Buffeting Response of the Bridge ; 6.3. Effect of the Mean Wind Speed U on the Buffeting Response of the Bridge ; 6.4. Effect of the Aeroelastic Forces on the Buffeting Responses ; 6.5. Effect of Transient Response on the Total Responses in the Vicinity of the Flutter Speed ; 7. CONCLUSIONS ; APPENDIX I ; REFERENCES
A STUDY ON THE APPLICATION OF GENETIC ALGORITHM FOR FINDING THE OPTIMIZED PERFORMANCE OF FLUID VISCOUS DAMPERS IN EARTHQUAKE INDUCED VIBRATION CONTROL OF BUILDING STRUCTURES ABSTRACT ; 1. INTRODUCTION; 2. FLUID VISCOUS DAMPER; 3. METHODOLOGY; 3.1. Response Calculations ; 3.2. Performance Index ; 3.3. Optimization Procedure ; 4. NUMERICAL EXAMPLE; 4.1. A study on the Effect of Performance Indexes ; 4.2. A study on the Dampers with Different Configurations ; 5. CONCLUSION ; REFERENCES
USING AN INTEGRATED OPTIMIZATION METHODOLOGY BASED ON NEURAL NETWORK AND GENETIC ALGORITHM FOR THE OPTIMAL PLACEMENT OF ENERGY ABSORPTION DEVICES IN BUILDING STRUCTURES ABSTRACT ; 1. INTRODUCTION ; 2. PROBLEM DEFINITION ; 3. GENETIC ALGORITHMS ; 4. ARTIFICIAL NEURAL NETWORKS ; 4.1. Neural Network Architecture ; 5. INTEGRATION OF ANN AND GA ; 6. NUMERICAL EXAMPLE ; 7. CONCLUSIONS ; REFERENCES; ESTIMATION OF VAPOR LIQUID EQUILIBRIUM OF BINARY SYSTEMS ACETONE+WATER ETHANOL+WATER USING ARTIFICIAL NEURAL NETWORK ; ABSTRACT ; 1. INTRODUCTION ; 2. ARTIFICIAL NEURAL NETWORK THEORY
2.1. The Multi-layer Perceptron (MLP) Network3. NEURAL NETWORK MODEL ; 4. RESULTS AND DISCUSSION ; 5. CONCLUSION; REFERENCES ; WATER HAMMER AND FLUID CONDITION: A COMPUTATIONAL APPROACH ; ABSTRACT; 1. INTRODUCTION AND OVERVIEW ; 2. MATERIALS AND METHODS ; 3. RESULTS AND DISCUSSION; 4. CONCLUDING REMARKS ; REFERENCES ; THERMODYNAMIC OF TWO TERNARY SYSTEMS (WATER + PHOSPHORIC ACID +2-BUTANOL) AND (WATER + PHOSPHORIC ACID + 1- DECANOL) USING UNIQUAC MODEL ; ABSTRACT ; 1. INTRODUCTION ; 2. EXPERIMENTAL ; 2.1. Materials ; 2.2. Procedure ; 2.3. Correlation of LLE Using the UNIQUAC Model
