Agenda (pdf)


Contact:
 

  Prof. D. J. Inman
CIMSS, Virginia Tech
310 Durham Hall, MC 0261
Blacksburg, VA 24061
U.S.A.
Fax: +1 (540)231-2903
Tel: +1 (540)231-4709
Email: dinman@vt.edu

Sponsored by a grant from the US National Science Foundation in cooperation with the Engineering Sciences and Applications Division of Los Alamos National Laboratory.

 
 



Publication

    
No formal proceedings regarding the workshop were planned or are available. Instead, pdf versions of all presentations including the students’ projects are posted on this web site under “Slides of Lectures”. In addition the agenda, the slides and a photo of the participants is available on CD (in case downloading is not possible) by emailing a request to dinman@vt.edu. In addition, each of the presenters was asked to prepare a book chapter as an outgrowth of their talk and this will be available as the book:

Damage Prognosis
Ed D.J. Inman, C. R. Farrar, V. L. Lopes, Jr, and V. Steffen Jr.
Wiley
0-470-86907-0 available January 2005
http://www.wileyeurope.com

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 Application on Large Low
Speed Hydrogenerators, G. C. Brito, Jr.