Damage Prognosis For Aerospace, Civil and Mechanical Systems

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

Note: Supplemental materials are not guaranteed with Rental or Used book purchases.

ISBN: 9780470869079 | 0470869070
Cover: Hardcover
Copyright: 4/22/2005

Rent

(Recommended)

$99.32

Term

Due

Price

Semester

Dec 13

$104.56

Quarter

Aug 16

$99.32

Short Term

Jul 1

$94.10

*This item is part of an exclusive publisher rental program and requires an additional convenience fee. This fee will be reflected in the shopping cart.
Buy New

Currently Available, Usually Ships in 24-48 Hours

$142.84

Damage prognosis is a natural extension of damage detection and structural health monitoring and is forming a growing part of many businesses. This comprehensive volume presents a series of fundamental topics that define the new area of damage prognosis. Bringing together essential information in each of the basic technologies necessary to perform damage prognosis, it also reflects the highly interdisciplinary nature of the industry through the extensive referencing of each of the component disciplines. Taken from lectures given at the Pan American Advanced Studies Institute in Damage Prognosis sponsored by the US National Science Foundation in cooperation with Los Alamos National Laboratories, this book will be essential reading for anyone looking to get to grips with the fundamentals of damage prognosis. Presents the 'ground rules' for Damage Prognosis. Deals with interdisciplinary topics: rotating machines, aerospace structures, automotive components and civil structures. Covers essential technical material: equations, graphs and plots, tables and photographs. Offers additional material from the associated workshop on an active web site.

List of Contributors

Preface

xviii

1 An Introduction to Damage Prognosis

(12)

C.R. Farrar, N.A.J. Lieven and M.T. Bement

1.1 Introduction

(3)

1.2 The Damage-Prognosis Solution Process

(4)

1.3 Motivation for Damage-Prognosis Solutions

(3)

1.4 Disciplines Needed to Address Damage Prognosis

(1)

1.5 Summary

(1)

References

(1)

Part I Damage Models

(118)

2 An Overview of Modeling Damage Evolution in Materials

(46)

T.O. Williams and I.J. Beyerlein

2.1 Introduction

(2)

2.2 Overview of General Modeling Issues

(6)

2.3 Characterization of Material Behavior: Damage Initiation and Evolution

(3)

2.4 Material Modeling: General Considerations and Preliminary Concepts

(3)

2.5 Classical Damage-Modeling Approaches

(6)

2.6 Phenomenological Constitutive Modeling

(2)

2.7 Micromechanical Modeling of Materials

(18)

2.8 Summary

(1)

References

(5)

3 In Situ Observation of Damage Evolution and Fracture Toughness Measurement by SEM

(14)

J.E.P. Ipiña and A.A. Yawny

3.1 Overview of Fracture Mechanics Related to Damage Prognosis

(3)

3.2 In Situ Observation of Damage Evolution and Fracture Toughness Measurement

(9)

3.3 Concluding remarks

(1)

Acknowledgements

(1)

References

(2)

4 Predictive Modeling of Crack Propagation Using the Boundary Element Method

(16)

P. Sollero

4.1 Introduction

(2)

4.2 Damage and Fracture Mechanics Theories

(4)

4.3 Boundary Element Fracture Mechanics

(3)

4.4 Predictive Modeling of Crack Propagation

(2)

4.5 Numerical Results

(2)

4.6 Conclusions

(1)

Acknowledgments

(1)

References

(2)

5 On Friction Induced Nonideal Vibrations: A Source of Fatigue

(20)

J.M. Balthazar and B.R. Pontes

5.1 Preliminary Remarks

(6)

5.2 Nonlinear Dynamics of Ideal and Nonideal Stick-Slip Vibrations

(6)

5.3 Switching Control for Ideal and Nonideal Stick-Slip Vibrations

103

(4)

5.4 Some Concluding Remarks

107

(1)

Acknowledgments

108

(1)

References

108

(3)

6 Incorporating and Updating of Damping in Finite Element Modeling

111

(22)

J.A. Pereira and R.M. Doi

6.1 Introduction

111

(1)

6.2 Theoretical Fundamentals

112

(6)

6.3 Application

118

(10)

6.4 Conclusion

128

(1)

References

128

(3)

Part II Monitoring Algorithms

131

(174)

7 Model-Based Inverse Problems in Structural Dynamics

133

(44)

V. Steffen Jr and D.A. Rade

7.1 Introduction

133

(1)

7.2 Theory of Discrete Vibrating Systems

134

(5)

7.3 Response Sensitivity

139

(3)

7.4 Finite-Element Model Updating

142

(7)

7.5 Review of Classical Optimization Techniques

149

(2)

7.6 Heuristic Optimization Methods

151

(4)

7.7 Multicriteria Optimization

155

(1)

7.8 General Optimization Scheme for Inverse Problems in Engineering

156

(1)

7.9 Applications

157

(16)

Acknowledgments

173

(1)

References

173

(4)

8 Structural Health Monitoring Algorithms for Smart Structures

177

(24)

V. Lopes Jr and S. da Silva

8.1 Initial Considerations about SHM

177

(2)

8.2 Optimal Placement of Sensors and Actuators for Smart Structures

179

(7)

8.3 Proposed Methodology

186

(2)

8.4 Artificial Neural Network as a SHM Algorithm

188

(6)

8.5 Genetic Algorithms as a SHM Algorithm

194

(3)

8.6 Conclusion

197

(1)

References

198

(3)

9 Uncertainty Quantification and the Verification and Validation of Computational Models

201

(20)

F.M. Hemez

9.1 Introduction

201

(1)

9.2 Verification Activities

202

(5)

9.3 Validation Activities

207

(5)

9.4 Uncertainty Quantification

212

(2)

9.5 Assessment of Prediction Accuracy

214

(3)

9.6 Conclusion

217

(1)

References

218

(3)

10 Reliability Methods

221

(14)

A. Robertson and F.M. Hemez

10.1 Introduction

221

(1)

10.2 Reliability Assessment

222

(5)

10.3 Approximation of the Probability of Failure

227

(4)

10.4 Decision Making

231

(2)

10.5 Summary

233

(1)

References

234

(1)

11 Lamb-Wave Based Structural Health Monitoring

235

(24)

A. Raghavan and C.E.S. Cesnik

11.1 Introduction

235

(2)

11.2 Fundamentals of Elastic Wave Propagation

237

(14)

11.3 Application of Lamb-Wave Formulation to SHM

251

(5)

11.4 Epilogue

256

(1)

References

257

(2)

12 Structural Energy Flow Techniques

259

(16)

J.R. de F. Arruda

12.1 Introduction

259

(1)

12.2 Power and Intensity Concepts

260

(3)

12.3 Experimental Power Flow Techniques

263

(4)

12.4 Spatial Filtering for Fault Detection

267

(1)

12.5 Acoustical Measurements as a Tool for Fault Detection

268

(1)

12.6 Detecting Nonlinearity with Special Excitation Signals

269

(1)

12.7 Frequency Limits of Numerical Modeling Techniques - The Midfrequency Problem

270

(2)

References

272

(3)

13 Impedance-Based Structural Health Monitoring

275

(18)

G. Park and D.J. Inman

13.1 Introduction

275

(1)

13.2 Electro-Mechanical Principle

276

(1)

13.3 Parameters of the Technique

277

(3)

13.4 Comparisons with Other Damage Identification Approaches

280

(2)

13.5 Proof-of-Concept Applications

282

(1)

13.6 Health Assessment of Pipeline Structures

282

(5)

13.7 Analysis of a Quarter Scale Bridge Section

287

(3)

13.8 Summary

290

(1)

References

291

(2)

14 Statistical Pattern Recognition Paradigm Applied to Defect Detection in Composite Plates

293

(12)

H. Sohn

14.1 Introduction

293

(1)

14.2 Statistical Pattern Recognition Paradigm

294

(7)

14.3 Experimental Results

301

(1)

14.4 Summary and Discussion

302

(1)

Acknowledgments

302

(1)

References

302

(3)

Part III Hardware

305

(58)

15 Sensing and Data Acquisition Issues for Damage Prognosis

307

(16)

C.R. Farrar, P.J. Cornwell, N.F. Hunter and N.A.J. Lieven

15.1 Introduction

307

(1)

15.2 Sensing and Data Acquisition Strategies for Damage Prognosis

308

(2)

15.3 Instrumentation: Conceptual Challenges

310

(10)

15.4 Summary: Sensing and Data Acquisition

320

(1)

References

321

(2)

16 Design of Active Structural Health Monitoring Systems for Aircraft and Spacecraft Structures

323

(20)

F.-K. Chang, J.-B. Ihn and E. Blaise

16.1 Introduction

323

(2)

16.2 Active Sensor Network for Structural-Health Monitoring Systems

325

(6)

16.3 Diagnostic Software

331

(5)

16.4 Validation of the Active SHM System

336

(3)

16.5 Conclusions

339

(1)

Acknowledgments

340

(1)

References

340

(3)

17 Optical-Based Sensing

343

(20)

M.D. Todd

17.1 Overview and Scope of Chapter

343

(1)

17.2 Basic Optics Concepts

343

(3)

17.3 Primary Fiber Optic Sensing Approaches for Structural Measurements

346

(13)

17.4 Summary

359

(1)

Acknowledgements

360

(1)

References

360

(3)

Part IV Applications

363

(72)

18 Prognosis Applications and Examples

365

(20)

D.E. Adams

18.1 Introduction

365

(2)

18.2 Applications

367

(15)

18.3 Conclusions

382

(1)

Acknowledgments

382

(1)

References

383

(2)

19 Prognosis of Rotating Machinery Components

385

(36)

M.J. Roemer, G.J. Kacpryznski, R.F. Orsagh and B.R. Marshall

19.1 Introduction

385

(1)

19.2 Bearing Prognosis Framework

386

(6)

19.3 Model-Based Analysis for Prognosis

392

(9)

19.4 Bearing Prognosis Discussion

401

(1)

19.5 Gear Prognosis Framework

402

(11)

19.6 Bearing and Gear Prognosis Module Discussion

413

(1)

19.7 Utilization of Prognosis Information in Navy ICAS System

414

(5)

References

419

(2)

20 Application of Simplified Statistical Models in Hydro Generating Unit Health Monitoring

421

(14)

G.C. Brito Jr

20.1 Introduction

421

(2)

20.2 Influences of the Environment and Operating Conditions in the Behavior of the Generating Units

423

(5)

20.3 Statistical Models for Structural Health Monitoring

428

(4)

20.4 Concluding Remarks

432

(1)

20.5 Terminology

432

(1)

References

433

(2)

Index

435

Please wait while the item is added to your bag...

FREE SHIPPING

Amazon no longer offers textbook rentals. We do!

Damage Prognosis For Aerospace, Civil and Mechanical Systems

Summary

Author Biography

Table of Contents

Supplemental Materials