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Emerging Design Solutions in Structural Health Monitoring Systems

Book Description

Structural health monitoring is an exciting new field on the frontier of applied engineering. With the purpose of examining the health of standing buildings, aircrafts, and other complex structures using pre-installed sensors that provide stress and pressure data in real-time, this field allows structural-health experts to act as engineering “doctors.” These specialists diagnose potential problems in advance using complex algorithms and statistical modeling so that steps may be taken to prevent structural damage—or worse, loss of life. Emerging Design Solutions in Structural Health Monitoring Systems seeks to advance cutting-edge research in the field, with a special focus on cross-disciplinary work involving recent advances in IT. This research has enabled structural-health experts to wield groundbreaking new models of artificial intelligence as a diagnostic tool capable of identifying future problems before they even appear. This publication serves as a broad overview of structural management science, as well as an on-ramp for a general engineering audience, including students, educators, and researchers.

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
  6. Preface
  7. Introduction
    1. A BRIEF REVIEW OF STRUCTURAL HEALTH MONITORING AS A PATTERN RECOGNITION APPROACH
    2. ORGANIZATION OF THE BOOK
    3. REFERENCES
  8. Chapter 1: Self-Healing Properties of Conventional and Fly Ash Cementitious Mortar, Exposed to High Temperature
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. EFFECT ON HIGH TEMPERATURE EXPOSURE OF CEMENTITIOUS COMPOSITE
    4. 3. EXPERIMENTAL METHODS
    5. 4. RESULTS AND DISCUSSION
    6. 5. CONCLUSION
    7. REFERENCES
  9. Chapter 2: New Features for Damage Detection and Their Temperature Stability
    1. ABSTRACT
    2. WAVE CLUSTERING
    3. FUZZY SIMILARITY
    4. TEMPERATURE EFFECT AND COMPENSATION
    5. CONCLUSION
    6. ACKNOWLEDGMENT
    7. REFERENCES
  10. Chapter 3: Wavelet Transform Modulus Maxima Decay Lines
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND OF FUNDAMENTAL THEORY
    4. DAMAGE DETECTION
    5. CASE STUDIES
    6. CONCLUSION AND DISCUSSION
    7. REFERENCES
    8. KEY TERMS AND DEFINITIONS
  11. Chapter 4: Development of a System for Detecting Weld Failures
    1. ABSTRACT
    2. INTRODUCTION
    3. FUNDAMENTALS OF ULTRASOUND
    4. GENERATION OF ULTRASOUND
    5. ULTRASOUND SYSTEM
    6. ELECTRONIC TRIP CIRCUIT
    7. BREAKS IN WELDING
    8. INSPECTION METHODOLOGIES
    9. CONCLUSION
    10. REFERENCES
  12. Chapter 5: Structural Damage Assessment using an Artificial Immune System
    1. ABSTRACT
    2. INTRODUCTION
    3. PRINCIPAL COMPONENT ANALYSIS
    4. EXPERIMENTAL RESULTS
    5. CONCLUSION
    6. ACKNOWLEDGMENT
    7. REFERENCES
    8. KEY TERMS AND DEFINITIONS
  13. Chapter 6: Structure Impact Localization Using Emerging Artificial Intelligence Algorithms
    1. ABSTRACT
    2. INTRODUCTION
    3. ELM MODELING
    4. IMPACT LOCALIZATION STRATEGY
    5. EXPERIMENTAL INVESTIGATIONS
    6. CONCLUSION
    7. Acknowledgment
    8. REFERENCES
  14. Chapter 7: Case-Based Reasoning for Stiffness Changes Detection in Structures
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. METALLIC FRAMEWORK CASE
    5. FINITE ELEMENT MODEL DESCRIPTION
    6. DAMAGE IDENTIFICACION METHODOLOGY
    7. DAMAGE CASES DATABASE
    8. ERROR INDEXES FOR DAMAGE IDENTIFICATION EVALUATION
    9. RESULTS DISCUSSION FOR METALLIC FRAMEWORK CASE
    10. PIPELINE CASE
    11. FUTURE RESEARCH DIRECTIONS
    12. CONCLUSION
    13. REFERENCES
  15. Chapter 8: Statistical Approach to Structural Damage Diagnosis under Uncertainty
    1. ABSTRACT
    2. INTRODUCTION
    3. DAMAGE DETECTION
    4. DAMAGE LOCALIZATION
    5. DAMAGE ESTIMATION
    6. OVERALL UNCERTAINTY IN DIAGNOSIS
    7. ILLUSTRATION USING A STRUCTURAL FRAME
    8. SUMMARY
    9. REFERENCES
    10. KEY TERMS AND DEFINITIONS
  16. Chapter 9: Nonlinear Ultrasonics for Early Damage Detection
    1. ABSTRACT
    2. INTRODUCTION
    3. FUNDAMENTALS
    4. NONLINEAR EXPERIMENTAL TECHNIQUES AND EVIDENCES
    5. NEED FOR THEORETICAL MODELS IN DAMAGE EVALUATION
    6. FUTURE TRENDS AND CONCLUSION
    7. REFERENCES
    8. KEY TERMS AND DEFINITIONS
  17. Chapter 10: Fatigue Crack Growth Analysis and Damage Prognosis in Structures
    1. ABSTRACT
    2. IINTRODUCTION
    3. CRACK GROWTH MODELING FRAMEWORK
    4. UNCERTAINTY IN CRACK GROWTH ANALYSIS
    5. MODEL PARAMETER CALIBRATION
    6. FATIGUE DAMAGE PROGNOSIS AND RELIABILITY ANALYSIS
    7. NUMERICAL EXAMPLE
    8. CONCLUSION
    9. REFERENCES
  18. Chapter 11: Prognostics Design for Structural Health Management
    1. ABSTRACT
    2. INTRODUCTION
    3. FUNDAMENTALS
    4. A PROGNOSTICS DESIGN SOLUTION
    5. PROGNOSTICS EXAMPLE ON COMPOSITE MATERIALS
    6. Description of Experiment Set-Up and SHM Data
    7. CONCLUSION
    8. REFERENCES
    9. KEY TERMS AND DEFINITIONS
  19. Chapter 12: An Implementation of a Complete Methodology for Wind Energy Structures Health Monitoring
    1. ABSTRACT
    2. INTRODUCTION
    3. SMART SYSTEM
    4. SENSOR PLACEMENT
    5. MATHEMATICAL BACKGROUND FOR DAMAGE DETECTION ALGORITHM
    6. DAMAGE DETECTION METHODOLOGY
    7. ENVIRONMENTAL AND OPERATIONAL CHANGES COMPENSATION
    8. SENSOR FAULT DETECTION
    9. CASE STUDY
    10. RESULTS
    11. CONCLUSION
    12. REFERENCES
  20. Compilation of References
  21. About the Contributors