Sensor technologies for civil infrastructures Volume 2, Applications in structural health monitoring Volume 2, Applications in structural health monitoring /
Performance assessment and health monitoring of civil infrastructures has the potential to increase public safety while decreasing maintenance costs. Typically, sensors are strategically placed in a structure to measure and record data and to draw conclusions about the state of a structure. Volume 2...
| Otros Autores: | , , , |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Cambridge, England :
Woodhead Publishing
2014.
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| Edición: | 1st edition |
| Colección: | Woodhead Publishing series in electronic and optical materials ;
Number 56. |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629546206719 |
Tabla de Contenidos:
- Cover; Sensor Technologies for Civil Infrastructures : Volume 2: Applications in Structural Health Monitoring; Copyright; Contents; Contributor contact details; Woodhead Publishing Series in Electronic and Optical Materials; Preface; Part I:Sensor data interrogation and decision making; 1:Sensor data management technologies for infrastructure asset management; 1.1 Introduction; 1.2 Sensor level data processing and management; 1.3 In-network data communication and management; 1.4 Persistent data management and retrieval; 1.5 Conclusion and future trends; 1.6 Acknowledgements; 1.7 References
- 2:Sensor data analysis, reduction and fusion for assessing and monitoring civil infrastructures2.1 Introduction; 2.2 Bayesian inference and monitoring data analysis; 2.3 Data reduction; 2.4 Data fusion; 2.5 Further trends; 2.6 Sources of further information and advice; 2.7 Acknowledgements; 2.8 References; 3:Analytical techniques for damage detection and localization for assessing and monitoring civil infrastructures; 3.1 Introduction; 3.2 Linear time invariant systems; 3.3 Modal form; 3.4 Relation between the complex and the normal mode models; 3.5 Damage detection; 3.6 Damage localization
- 3.7 Future trends3.8 Sources of further information and advice; 3.9 References; 4:Output only modal identification and structural damage detection using timefrequency and wavelet techniques for assessing and mo; 4.1 Introduction; 4.2 Time-frequency (TF) methods: STFT, EMD and HT; 4.3 Modal identification of linear time invariant (LTI) and linear time variant (LTV) systems using EMD/HT and STFT; 4.4 Modal identification of LTI and LTV systems using wavelets; 4.5 Experimental and numerical validation of modal identification of LTI and LTV systems using STFT, EMD, wavelets and HT; 4.6 Conclusion
- 4.7 Acknowledgments4.8 References; 5:Prognosis and life-cycle assessment based on SHM information; 5.1 Introduction; 5.2 Statistical and probabilistic aspects for efficient prognosis; 5.3 Decision analysis based on availability of SHM data; 5.4 Life-cycle analysis using monitoring data; 5.5 Conclusions; 5.6 Acknowledgements; 5.7 References; 5.8 Appendix: Notation used; 6:System-level design of a roaming multi-modal multi-sensor system for assessing and monitoring civil infrastructures; 6.1 Introduction; 6.2 Need for health monitoring of transportation infrastructure
- 6.3 Sensor systems background6.4 VOTERS mobile sensor system overview; 6.5 Hierarchical multi-tiered architecture; 6.6 Bulk data handling; 6.7 Enabling sensor fusion; 6.8 Conclusion; 6.9 Acknowledgements; 6.10 References; Part II:Case studies in assessing and monitoring specific structures; 7:Sensing solutions for assessing and monitoring bridges; 7.1 Introduction; 7.2 Performance metrics or measurands and their uses in assessment; 7.3 Instrumentation in notable bridge monitoring projects; 7.4 Case study on condition assessment and performance monitoring: Tamar Bridge
- 7.5 Monitoring results illustrating sensor characteristics
