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- Page 19 and 20: Chapter 1IntroductionThis Chapter c
- Page 21 and 22: 1.1. Research context 3note that pa
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- Page 27 and 28: 1.3. Organization of the text 9Moda
- Page 29 and 30: Chapter 2Operational Modal Analysis
- Page 31 and 32: 2.1. Introduction 13(a)(b)(c)(d)(e)
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2.3. Extension to output-only data
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2.4. Case study: stairway structure
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2.4. Case study: stairway structure
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2.4. Case study: stairway structure
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2.5. Conclusion 43niques - such as
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2.5. Conclusion 45ZYX(a)YZXY(b)(c)F
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2.6. Appendix: Modal decomposition
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2.6. Appendix: Modal decomposition
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2.6. Appendix: Modal decomposition
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Chapter 3Identification frommulti-p
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3.2. Non-stationary data 55some of
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3.3. Multi-patch mode shape re-scal
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3.3. Multi-patch mode shape re-scal
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3.4. Additional remarks 61Ψ [:,r]
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3.5. Experimental validation 63the
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3.5. Experimental validation 65(a)(
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3.5. Experimental validation 67(a)(
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3.5. Experimental validation 69−8
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3.5. Experimental validation 711614
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3.5. Experimental validation 73ZYX(
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3.5. Experimental validation 75ZYX(
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3.6. Conclusion 77ZYX(a)YZXY(b)(c)F
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3.6. Conclusion 79ZYX(a)YZXY(b)(c)F
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Chapter 4Sensitivity-basednormaliza
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4.1. Sensitivity of Modal Parameter
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4.1. Sensitivity of Modal Parameter
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4.2. Normalization of operational m
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4.2. Normalization of operational m
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4.2. Normalization of operational m
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4.2. Normalization of operational m
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4.2. Normalization of operational m
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4.2. Normalization of operational m
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4.3. Conclusions 99Table 4.2: Overv
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4.3. Conclusions 1010.10.08normaliz
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4.3. Conclusions 103tion experiment
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4.4. Appendix: Calculation of modal
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Chapter 5Application to real-life c
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5.1. Agricultural engineering appli
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5.1. Agricultural engineering appli
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5.1. Agricultural engineering appli
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5.1. Agricultural engineering appli
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5.1. Agricultural engineering appli
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5.1. Agricultural engineering appli
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5.2. Civil engineering application:
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5.2. Civil engineering application:
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5.2. Civil engineering application:
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5.2. Civil engineering application:
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5.3. Conclusions 12910.90.80.7mac v
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Chapter 6Force identificationThis C
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6.2. Source identification 133maliz
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6.2. Source identification 135the l
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6.2. Source identification 137a dia
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6.3. Experimental results 139Table
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6.3. Experimental results 141221.51
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6.3. Experimental results 1430.240.
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6.3. Experimental results 1450.70.6
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6.4. Conclusions 147procedure (as w
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6.4. Conclusions 1490.16normalized
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6.5. Appendix 1516.5 AppendixIn the
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Chapter 7Input-output andoutput-onl
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7.1. Introduction 155from the non-p
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7.1. Introduction 157damage feature
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7.1. Introduction 159structures or
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7.3. Sensitivity-based damage ident
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7.3. Sensitivity-based damage ident
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7.3. Sensitivity-based damage ident
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7.4. Damage identification methods
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7.4. Damage identification methods
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7.5. Experimental validation and co
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7.5. Experimental validation and co
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7.5. Experimental validation and co
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7.5. Experimental validation and co
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7.5. Experimental validation and co
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7.5. Experimental validation and co
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7.5. Experimental validation and co
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7.5. Experimental validation and co
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7.5. Experimental validation and co
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7.5. Experimental validation and co
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7.5. Experimental validation and co
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7.5. Experimental validation and co
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7.6. Application to output-only dat
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7.6. Application to output-only dat
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7.7. Experimental validation and co
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7.7. Experimental validation and co
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7.7. Experimental validation and co
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7.7. Experimental validation and co
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7.7. Experimental validation and co
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7.7. Experimental validation and co
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7.7. Experimental validation and co
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7.7. Experimental validation and co
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7.7. Experimental validation and co
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7.8. Conclusion 217technique (intro
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Chapter 8Identification of damage i
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8.1. Introduction 221Figure 8.1: In
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8.2. Assessment of test setup varia
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8.2. Assessment of test setup varia
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8.3. Dynamic loading setup 227LEVEL
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8.4. Identification of the damage 2
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8.4. Identification of the damage 2
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8.4. Identification of the damage 2
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8.4. Identification of the damage 2
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8.4. Identification of the damage 2
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8.5. Conclusions 2398.5 Conclusions
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Chapter 9Non-linear structuralmodif
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9.2. Approximation of non-linear pa
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9.2. Approximation of non-linear pa
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9.2. Approximation of non-linear pa
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9.2. Approximation of non-linear pa
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9.3. Applications 251with their unk
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9.4. Simulation results 2539.4 Simu
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9.4. Simulation results 25516401638
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9.4. Simulation results 25798097597
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9.4. Simulation results 25943error
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9.4. Simulation results 261Table 9.
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9.4. Simulation results 26332normal
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9.5. Experimental results 2651050sc
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9.5. Experimental results 26732norm
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9.5. Experimental results 269(a)(b)
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9.6. Conclusions 271100−10scaling
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9.6. Conclusions 273tational burden
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Chapter 10Conclusions10.1 Summary a
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10.1. Summary and main contribution
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10.2. Future work 279variable traff
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BibliographyAbdelghani, M., Goursat
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Bibliography 283Dobson, B. and Ride
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Bibliography 285Hermans, L., Van de
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Bibliography 287Parloo, E., Guillau
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Bibliography 289Silva, J., Maia, N.