Infrastructure Health in Civil Engineering—Theory and Components

Continually increasing demands on infrastructures mean that maintenance and renewal require timely, appropriate action that maximizes benefits while minimizing cost. To be as well informed as possible, decision-makers must have an optimal understanding of an infrastructure’s condition—what it is now, and what it is expected to be in the future.
Written by two highly respected engineers, the first volume, Infrastructure Health in Civil Engineering: Theory and Components, integrates the decision making concept into theoretical and practical issues.

It includes:


An overview of the infrastructure health in civil engineering (IHCE) and associated theories


In-depth description of the four components of SHCE: measurements, structural identification, damage identification, and decision making


Discussion of how IHCE and asset management are applied


An exploration of infrastructure health management


Built to correspond to the ideas presented in its companion volume, Applications and Management, this is an invaluable guide to optimized, cost-saving methods that will help readers meet safety specifications for new projects, as well as aging infrastructures at high risk for failure.

VOLUME 1: THEORY AND COMPONENTS


PART I: Overview and Theories of IHCE

Introduction
Infrastructure Health in Civil Engineering (IHCE)
General Concepts of Infrastructures Health
History of Structural Health Efforts
Need for Infrastructure Health Efforts
Analogy with Human Health
Structural Health: A New Field in Civil Engineering?
Structural Health: Integration of Fields
Horizontal Integration: Multihazards
Vertical Integration: Multidisciplinary
SHM and IHCE: a Quick Primer
Challenges Ahead
Appendix I: DHS Infrastructure Sectors (as of 2009)

Elements of Structural Health in Civil Engineering (SHCE)
SHCE: A New Field in Civil Engineering?
SHCE: Baseball Analogy
SHCE and DESIGN Paradigms
NDT versus SHM
Value of Information

Lives and Deaths of Infrastructures
Overview
Birth of Bridges
Why Bridges Live?
Why Bridges Fail/Die?
Examples of Bridge Failures
Appendix I: Count of Bridges in the United States by Construction Material
References

Theories and Principles of IHCE
Introduction
General theory of Experimentation (GTE)
Special Theory of Experimentation (STE)
Theory of SHM Triangulation
Duality Principle in SHM
Scaling Principle in SHM
Serendipity Principle in SHM


PART II: Components of IHCE

Sensors and Infrastructures Health
Introduction
Sensor Categorizations
Basics of Sensor Behavior
Sensor Measurements in SHM
Emerging Technology: Fiber Optics Sensors
Wireless Sensors
Smart Structures
Optimum Sensor Selection
Optimum Sensor Location
Step by Step Guide for Choosing Sensors
Remote Sensing in SHM

Structural Identification (STRID)
Introduction
STRID Processes
Modal Identification Methods
Parameter Identification (PI)
Artificial Neural Networks (ANN)
Other Methods
Modeling Techniques
Scale Independent Methods (SIM)
Case Studies
Life Cycle Analysis and STRID
Cost-Benefit Analysis of STRID

Damage Identification (DMID)
Introduction
Damage Parameters
STRID, DMID, and SHM
NDT Techniques
Acoustic Emission
Vibration-based Methods
Signal Processing and DMID
Damage Identification in SHM
Appendix: Lamb Waves
Appendix: Dispersion Curves
Appendix: Helmholtz Equation
Appendix: Angular Spectrum Method

Decision Making in IHCE
Introduction
Decision Making Process and Structural Health Components
Probability and Statistics
Traditional Theories of Decision Making
Reliability
Risk
Stochastic Models
Structural Analysis in Decision Making
Financial Considerations
Appendices