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New trends in structural health monitoring / / Wiesaw Ostachowicz, J. Alfredo Guemes, editors
| New trends in structural health monitoring / / Wiesaw Ostachowicz, J. Alfredo Guemes, editors |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Wien ; ; London, : Springer, [2013] |
| Descrizione fisica | 1 online resource (432 p.) |
| Disciplina | 624.17 |
| Altri autori (Persone) |
OstachowiczW. M (Wiesaw M.)
GuemesAlfredo |
| Collana | CISM courses and lectures |
| Soggetto topico | Structural health monitoring |
| ISBN |
9781299197961
1299197965 9783709113905 3709113903 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A motivation for structural health monitoring -- Structural health monitoring of aircraft structures -- Vibration-based damage diagnosis and monitoring of external loads -- Statistical time series methods for vibration based structural health monitoring -- Fiber optic sensors -- Damage localisation using elastic waves propagation methods experimental techniques -- Application for wind turbine blades. |
| Record Nr. | UNINA-9910437899903321 |
| Wien ; ; London, : Springer, [2013] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Structural health monitoring / / edited by Daniel Balageas, Claus-Peter Fritzen and Alfredo Guemes
| Structural health monitoring / / edited by Daniel Balageas, Claus-Peter Fritzen and Alfredo Guemes |
| Pubbl/distr/stampa | London ; ; Newport Beach, CA, : ISTE, 2006 |
| Descrizione fisica | 1 online resource (497 p.) |
| Disciplina | 624.1/71 |
| Altri autori (Persone) |
BalageasDaniel
FritzenClaus-Peter GuemesAlfredo |
| Collana | ISTE |
| Soggetto topico |
Structural health monitoring
Structural analysis (Engineering) Automatic data collection systems Detectors |
| ISBN |
1-280-51053-6
9786610510535 1-84704-451-4 0-470-61207-X 0-470-39440-4 1-84704-551-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Structural Health Monitoring; Table of Contents; Foreword; Chapter 1. Introduction to Structural Health Monitoring; 1.1. Definition of Structural Health Monitoring; 1.2. Motivation for Structural Health Monitoring; 1.3. Structural Health Monitoring as a way of making materials and structures smart; 1.4. SHM and biomimetics; 1.5. Process and pre-usage monitoring as a part of SHM; 1.6. SHM as a part of system management; 1.7. Passive and active SHM; 1.8. NDE, SHM and NDECS; 1.9. Variety and multidisciplinarity: the most remarkable characters of SHM
1.10. Birth of the Structural Health Monitoring Community1.11. Conclusion; 1.12. References; Chapter 2. Vibration-Based Techniques for Structural Health Monitoring; 2.1. Introduction; 2.2. Basic vibration concepts for SHM; 2.2.1. Local and global methods; 2.2.2. Damage diagnosis as an inverse problem; 2.2.3. Model-based damage assessment; 2.3. Mathematical description of structural systems with damage; 2.3.1. General dynamic behavior; 2.3.2. State-space description of mechanical systems; 2.3.3. Modeling of damaged structural elements; 2.4. Linking experimental and analytical data 2.4.1. Modal Assurance Criterion (MAC) for mode pairing2.4.2. Modal Scaling Factor (MSF); 2.4.3. Co-ordinate Modal Assurance Criterion (COMAC); 2.4.4. Damping; 2.4.5. Expansion and reduction; 2.4.6. Updating of the initial model; 2.5. Damage localization and quantification; 2.5.1. Change of the flexibility matrix; 2.5.2. Change of the stiffness matrix; 2.5.3. Strain-energy-based indicator methods and curvature modes; 2.5.4. MECE error localization technique; 2.5.5. Static displacement method; 2.5.6. Inverse eigensensitivity method; 2.5.7. Modal force residual method 2.5.8. Kinetic and strain energy-based sensitivity methods2.5.9. Forced vibrations and frequency response functions; 2.6. Solution of the equation system; 2.6.1. Regularization; 2.6.2. Parameter subset selection; 2.6.3. Other solution methods; 2.6.4. Variances of the parameters; 2.7. Neural network approach to SHM; 2.7.1. The basic idea of neural networks; 2.7.2. Neural networks in damage detection, localization and quantification; 2.7.3. Multi-layer Perceptron (MLP); 2.8. A simulation example; 2.8.1. Description of the structure; 2.8.2. Application of damage indicator methods 2.8.3. Application of the modal force residual method and inverse eigensensitivity method2.8.4. Application of the kinetic and modal strain energy methods; 2.8.5. Application of the Multi-Layer Perceptron neural network; 2.9. Time-domain damage detection methods for linear systems; 2.9.1. Parity equation method; 2.9.2. Kalman filters; 2.9.3. AR and ARX models; 2.10. Damage identification in non-linear systems; 2.10.1. Extended Kalman filter; 2.10.2. Localization of damage using filter banks; 2.10.3. A simulation study on a beam with opening and closing crack; 2.11. Applications 2.11.1. I-40 bridge |
| Record Nr. | UNINA-9911019394503321 |
| London ; ; Newport Beach, CA, : ISTE, 2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||