You are previewing Handbook of Research on Advanced Computational Techniques for Simulation-Based Engineering.
O'Reilly logo
Handbook of Research on Advanced Computational Techniques for Simulation-Based Engineering

Book Description

Recent developments in information processing systems have driven the advancement of computational methods in the engineering realm. New models and simulations enable better solutions for problem-solving and overall process improvement. The Handbook of Research on Advanced Computational Techniques for Simulation-Based Engineering is an authoritative reference work representing the latest scholarly research on the application of computational models to improve the quality of engineering design. Featuring extensive coverage on a range of topics from various engineering disciplines, including, but not limited to, soft computing methods, comparative studies, and hybrid approaches, this book is a comprehensive reference source for students, professional engineers, and researchers interested in the application of computational methods for engineering design.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Book Series
    1. Mission
    2. Coverage
  5. Editorial Advisory Board and List of Reviewers
    1. Editorial Advisory Board
    2. List of Reviewers
  6. Preface
  7. Chapter 1: A Review of Soft Computing Methods Application in Rock Mechanic Engineering
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. ESTIMATION OF ROCK MATERIAL CHARACTERISTICS
    4. 3. ESTIMATION OF CHARACTERIZATION AND ENGINEERING BEHAVIOUR OF ROCK MASS
    5. 4. EVALUATION OF BLASTING OPERATION
    6. 5. EVALUATION OF ROCK SLOPE STABILITY
    7. 6. RECENT TRENDS OF THE SOFT COMPUTING IN ROCK ENGINEERING
    8. 7. LIMITATION AND FUTURE
    9. REFERENCES
    10. KEY TERMS AND DEFINITIONS
  8. Chapter 2: A Multiphysics Based Finite Element Approach to Evaluate the Reliability of IC Packages
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. MAIN FOCUS OF THE CHAPTER
    5. ISSUES, CONTROVERSIES, AND PROBLEMS
    6. EXPERIMENTAL DETAILS
    7. HYGROTHERMAL ANALYSES
    8. FAILURE ANALYSES
    9. FAILURE THEORY VALIDATION
    10. MICRO DUAL LEADLESS MOULDED PACKAGES
    11. MODELLING AND FINITE ELEMENT ANALYSIS
    12. EXPERIMENTAL DETAILS
    13. FAILURE THEORY VALIDATION
    14. FATIGUE ANALYSES OF ICS
    15. CURRENT DRAWBACKS
    16. FUTURE RESEARCH DIRECTIONS
    17. CONCLUSION
    18. ACKNOWLEDGMENT
    19. REFERENCES
    20. KEY TERMS AND DEFINITIONS
  9. Chapter 3: Nonlinear Vibration Control of 3D Irregular Structures Subjected to Seismic Loads
    1. ABSTRACT
    2. INTRODUCTION
    3. CONTROL ALGORITHM THEORY
    4. THREE DIMENSIONAL STRUCTURAL MODELING
    5. RESULTS AND DISCUSSION
    6. CONCLUSION
    7. ACKNOWLEDGMENT
    8. REFERENCES
    9. ADDITIONAL READING
    10. KEY TERMS AND DEFINITIONS
  10. Chapter 4: Multiobjective Optimization in Water and Environmental Systems Management- MODE Approach
    1. ABSTRACT
    2. INTRODUCTION
    3. MULTI OBJECTIVE OPTIMIZATION
    4. LIERATURE REVIEW
    5. MULTI-OBJECTIVE DIFFERENTIAL EVOLUTION
    6. PERFORMANCE EVALUATION OF MODE
    7. MULTI-OBJECTIVE RESERVOIR OPERATION
    8. FUTURE RESEARCH DIRECTIONS
    9. CONCLUSION
    10. ACKNOWLEDGMENT
    11. REFERENCES
    12. ADDITIONAL READING
    13. KEY TERMS AND DEFINITIONS
  11. Chapter 5: Artificial Intelligent Approaches for Prediction of Longitudinal Wave Velocity in Rocks
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. DATA SET
    4. 3. MULTIVARIATE REGRESSION ANALYSIS
    5. 4. ARTIFICIAL NEURAL NETWORK
    6. 5. ADAPTIVE NEURO FUZZY INFERENCE SYSTEM
    7. 6. CONCLUSION
    8. REFERENCES
  12. Chapter 6: Simulation-Based Approaches for Ecological Niche Modelling
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. FUTURE RESEARCH DIRECTIONS
    5. CONCLUSION
    6. REFERENCES
  13. Chapter 7: A Hybrid Approach using the Bees Algorithm and Fuzzy-AHP for Supplier Selection
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. 1. FUZZY ANALITIC HIERARCHY PROCESS
    5. 2. BEES IN NATURE AND THE BEES ALGORITHM
    6. 3. FUZZYAHP AND THE BEES ALGORITHM MODEL FOR SUPPLIER SELECTION
    7. 4. CASE STUDY
    8. FUTURE RESEARCH DIRECTIONS
    9. CONCLUSION
    10. REFERENCES
    11. KEY TERMS AND DEFINITIONS
  14. Chapter 8: Spatial Variability Analysis of Soil Properties using Geostatistics
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND OF GEOSTATISTICS
    4. DEVELOPMENT OF FRAMEWORK FOR SPATIAL VARIABILITY ANALYSIS OF SOIL PROPERTY
    5. EVALUATION AND ASSESSMENT OF THE FORMULATED PROCEDURE USING CPTU DATA
    6. SUMMARY AND CONCLUSION
    7. REFERENCES
    8. KEY TERMS AND DEFINITIONS
  15. Chapter 9: Artificial Neural Networks and Learning Techniques
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. FUNDAMENTAL CONCEPTS
    4. 3. NEURAL NETWORK ARCHITECTURE
    5. 4. LEARNING OF NEURAL NETWORKS
    6. 5. CONCLUSION
    7. REFERENCES
  16. Chapter 10: Challenges Faced in Enhancing the Performance and Scalability in Parallel Computing Architecture
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. PERFORMANCE METRICS
    5. SINGLE CORE AND MULTICORE ARCHITECTURES
    6. FOCUS OF THE CHAPTER
    7. PARALLEL COMPUTER ARCHITECTURE
    8. CONCLUSION AND FUTURE WORK
    9. REFERENCES
  17. Chapter 11: Adaptive Fuzzy Modeling using Orthonormal Basis Functions for Network Traffic Flow Control
    1. ABSTRACT
    2. INTRODUCTION
    3. FUZZY LOGIC
    4. MULTIFRACTAL ANALYSIS
    5. FUZZY TRAINING ALGORITHMS
    6. BANDWIDTH ALLOCATION SCHEME BASED ON THE FUZZY PREDICTORS
    7. ORTHONORMAL BASIS FUNCTIONS
    8. THE OBF-FUZZY MODEL
    9. NETWORK TRAFFIC FLOW CONTROL AND MODELING WITH OBF-FUZZY MODEL
    10. ADAPTIVE OBF-FUZZY BASED CONGESTION CONTROL
    11. EVALUATION OF THE ADAPTIVE OBF-FUZZY CONGESTION CONTROL SCHEME
    12. FUTURE TRENDS
    13. CONCLUSION
    14. REFERENCES
    15. APPENDIX A: POLE CALCULUS
    16. APPENDIX B: CALCULATION OF THE VECTOR OF CONSEQUENT PARAMETERS
    17. APPENDIX C: OPTIMAL FLOW CONTROL RATE
  18. Chapter 12: Prediction of Temperature in Buildings using Machine Learning Techniques
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. DATA SETS USED
    5. MODELS USED TO FORECAST TEMPERATURE
    6. RESULTS OBTAINED
    7. CONCLUSION
    8. FUTURE RESEARCH DIRECTIONS
    9. REFERENCES
    10. KEY TERMS AND DEFINITIONS
  19. Chapter 13: Molecular Dynamics Simulation of Asphaltic Material
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. MAIN FOCUS OF THE CHAPTER
    5. MODELING OF ASPHALT SYSTEMS
    6. MD SIMULATION
    7. RESULTS AND DISCUSSIONS
    8. FUTURE RESEARCH DIRECTIONS
    9. CONCLUSION
    10. REFERENCES
    11. KEY TERMS AND DEFINITIONS
  20. Chapter 14: Reliability-Based Criteria for the Decision of the Compensation of Corroded Flexural Reinforcement
    1. ABSTRACT
    2. INTRODUCTION
    3. RELIABILITY ANALYSIS CONCEPTS
    4. CHARACTERIZATION OF VARIABLES (MONTE CARLO SIMULATION)
    5. CHECKING CODE CALIBRATION
    6. EFFECT OF STEEL CORROSION
    7. REAL LIFE SITUATIONS
    8. STEP-BY-STEP METHODOLOGY
    9. CONCLUSION
    10. REFERENCES
  21. Chapter 15: Liquefaction Modelling of Granular Soils using Discrete Element Method
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. BEHAVIOUR OF GRANULAR SOILS
    5. NUMERICAL MODELLING OF CYCLIC TRIAXIAL TEST
    6. SOLUTIONS AND RECOMMENDATIONS
    7. CONCLUSION
    8. REFERENCES
  22. Chapter 16: Reliability Design of Footings in Cohesionless Soils using Soft Computing Metamodelings
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. MARS METHODOLOGY
    4. 3. EVALUATION CRITERIA
    5. 4. THE DATABASE
    6. 5. THE DEVELOPED MARS AND BPNN MODELS
    7. 6. CASE STUDIES
    8. 7. RELIABILITY ANALYSIS
    9. 8. SUMMARY AND CONCLUSION
    10. ACKNOWLEDGMENT
    11. REFERENCES
    12. APPENDIX
  23. Chapter 17: Simulation of Temperature and Precipitation under the Climate Change Scenarios
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. RESULTS
    5. CONCLUSION
    6. FUTURE RESEARCH DIRECTIONS
    7. REFERENCES
    8. KEY TERMS AND DEFINITIONS
  24. Chapter 18: Variable Significance in the Determination of Friction Factor in Alluvial Channel
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. THEORETICAL BACKGROUND
    4. 3. RANGE OF DATA AND ANN MODELING
    5. 4. RESULTS AND DISCUSSION
    6. 5. CONCLUSION
    7. REFERENCES
  25. Chapter 19: A Hybrid Meta-Heuristic Method Based on Firefly Algorithm and Krill Herd
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. OVERVIEW OF FA AND KH
    4. 3. OUR METHOD: FKH
    5. 4. SIMULATION EXPERIMENTS
    6. 5. DISCUSSION AND CONCLUSION
    7. ACKNOWLEDGMENT
    8. REFERENCES
  26. Chapter 20: Application of the Cluster Analysis in Computational Paleography
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. BACKGROUND
    4. 3. PROBLEM
    5. 4. METHOD
    6. 5. RESULTS
    7. 6. CONCLUSION
    8. REFERENCES
    9. KEY TERMS AND DEFINITIONS
  27. Compilation of References
  28. About the Contributors