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The table of contents follows: Table of Contents Preface D. J. Inman, V. Steffen, Jr., L. Lopes, Jr. and C. R. Farrar Chapter 1 Introduction to Prognosis, C. R. Farrar, N. A. J. Lieven and M. Bement Part 1 Damage Models Chapter 2 Modeling Damage Evolution in Materials: Concepts, Approaches and Issues, T. Williams and I. J. Beyerlein Chapter 3 In Situ Observation of Damage Evolution and Fracture Toughness Measurement, J. Ipina Chapter 4 Predictive Modeling of Crack Propagation Using Boundary Element Fracture Mechanics, P. Sollero Chapter 5 On Friction Induced Non- Linear and Non-Ideal (regular and chaotic) Vibrations: A source of Fatigue, J. M. Balthazar Chapter 6 Effects of Damping in the Model Updating, J. Periera Part 2 Monitoring Algorithms Chapter 7 Model-Based Inverse Problems in Structural Dynamics, V. Steffen, Jr. and D. Rade Chapter 8 Structural Health Monitoring Algorithms for Smart Structures, V. Lopes, Jr. Chapter 9 Uncertainty Quantification, Model Validation, and Decision-making for Damage Prognosis, F. Hemez Chapter 10 Reliability Analysis, A. Robertson Chapter 11 Lamb wave SHM: Fundamentals and General Concepts, C. Sesnik, and A. Raghavan Chapter 12 Structural Energy Flow Techniques, J. Arrudda Chapter 13 Improvement of Damage-Assessment Results Using High-Spatial Density Measurements, R. Pascual Chapter 14 Impedance Based Structural Health Monitoring, G. Park and D. Inman Chapter 15 Statistical Pattern Recognition Paradigm for Structural Health Monitoring, H. Sohn Part 3 Hardware Chapter 16 Sensing and Data Acquisition Issues for Damage Prognosis, C.R. Farrar, P. Cornwell, N. A. J. Lieven Chapter 17 Built-In Diagnostics for Hot Spot Monitoring in Metallic and Composite Structures, J.-B. Ihn and F.-K. Chang Chapter 18 Optical Based Sensing, M. Todd Part 4 Applications and Examples Chapter 19 Prognosis Applications and Challenges, D. Adams Chapter 20 Rotating Machines, M. Roemer and B. Marshall Chapter 21 Possibilities of Damage Prognosis
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