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|a UAMI
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|a Computational methods in applied science and engineering /
|c A.K. Haghi, editor.
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|a New York :
|b Nova Science Publishers, Inc.,
|c [2010]
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|c ©2010
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|a 1 online resource.
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|a text
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|a online resource
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|a Engineering tools, techniques and tables series
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|a Includes bibliographical references and index.
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|a Description based on print version record.
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|a 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.
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|a 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.
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|a 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.
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|a 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.
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|a 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.
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| 590 |
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|a eBooks on EBSCOhost
|b EBSCO eBook Subscription Academic Collection - Worldwide
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|a Engineering mathematics.
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|a Science
|x Mathematics.
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|a Engineering
|x Data processing.
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|a Research
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|a Mathematical models.
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|a Mathématiques de l'ingénieur.
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|a Sciences
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|a Ingénierie
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|a Haghi, A. K.
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|i Print version:
|t Computational methods in applied science and engineering
|z 9781608760527 (hardcover)
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|a Engineering tools, techniques and tables.
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