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Damage Prognosis. For Aerospace, Civil and Mechanical Systems

  • ID: 2182410
  • Book
  • March 2005
  • 470 Pages
  • John Wiley and Sons Ltd
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Damage Prognosis is the prediction in near real time of the remaining useful life of an engineered system given the measurement and assessment of its current damaged (or aged) state and accompanying predicted performance in anticipated future loading environments.

Damage Prognosis – For Aerospace, Civil and Mechanical Systems brings together fundamental information and extensive references in each of the component technologies necessary to perform damage prognosis such as predictive modelling, sensing and data acquisition hardware, and data interrogation procedures.

Written by a global team of experts representing academia, industry and government laboratories, this book:

- Presents a series of fundamental topics that define the new area of Damage Prognosis.
- Deals with interdisciplinary topics such as rotating machines, aerospace structures, automotive components and civil structures.

Damage Prognosis – For Aerospace, Civil and Mechanical Systems is the first book to address this multi–disciplinary technology in a comprehensive manner. The potential for Damage Prognosis to enhance life safety and provide economic benefits to society will make it the focus of extensive research over the next decade. As such, this book is an invaluable resource for civil, mechanical and aerospace engineers who wish to work in damage prognosis. In addition it serves as an excellent research tool for academic and corporate researchers and lecturers and graduates in related fields. Research libraries and government lab libraries will also find this book a useful asset.
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List of Contributors.


1. An Introduction to Prognosis, (C. R. Farrar, N. A. J. Lieven and M. Bement).


2. An Overview of Modeling Damage Evolution in Materials, (T. Williams and I. J. Beyerlein).

3. In Situ Observation of Damage Evolution and Fracture Toughness Measurement, (J. E. P. Ipina and A.A. Yawny).

4. Predictive Modeling of Crack Propagation Using the Boundary Element Method, (P. Sollero).

5. On Friction Induced Non–Ideal Vibrations: A source of Fatigue, (J. M. Balthazar and B. R. Pontes).

6. Incorporating and Updating of Damping in Finite Element Modeling, (J. A. Pereira and P. M. Doi).


7. Model–Based Inverse Problems in Structural Dynamics, (V. Steffen, Jr. and D. A. Rade).

8. Structural Health Monitoring Algorithms for Smart Structures, (V. Lopes, Jr.).

9. Uncertainty Quantification and the Verification of computation Models, (F. Hemez).

10. Reliability Methods, (A. Robertson and F. Hemez).

11. Lamb Wave Methods in Structural Health Monitoring, (C. Cesnik, and A. Raghavan).

12. Structural Energy Flow Techniques, (J. R. F. Arruda).

13. Impedance Based Structural Health Monitoring, (G. Park and D. J. Inman).

14. Statistical Pattern Recognition Paradigm Applied to Defect Detection in Composite Plates, (H. Sohn).


15. Sensing and Data Acquisition Issues for Damage Prognosis, (C.R. Farrar, P. Cornwell, N. F. Hunter, and N. A. J. Lieven).

Chapter 16. Design of Active Structural Health Monitoring System for Aircraft and Spacecraft Structures, (F.–K. Chang, J.–B. Ihn and E. Blaise).

17. Optical Based Sensing, (M. Todd).


18. Prognosis Applications and Challenges, (D. Adams).

19. Prognosis of Rotating Machinery Components, (M. Roemer and B. Marshall).

20. Application of Simplified Statistical Models in Hydro Generating Units Health Monitoring, (G. C. Brito, Jr.).


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Daniel J. Inman
Charles R. Farrar
Vicente Lopes Junior
Valder Steffen Junior
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