Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Wave Method for Structural Health Monitoring: Testing Using Full-Scale Shake Table Experiment Data
An algorithm of the wave method for structural health monitoring (SHM) is tested and calibrated using shake table experiment data of a full-scale, seven-story, reinforced-concrete building slice. The method is based on monitoring changes in the velocity of waves propagating vertically through the structure, identified by least-squares (LSQ) fit of beam models. The experiment was conducted by a team from the University of California, San Diego (UCSD) on the Network for Earthquake Engineering Simulations (NEES) outdoor shake table. Ambient noise, white noise, and earthquake response data for four progressive damage states were analyzed. The algorithm is tested for the first time on highly dispersive wave propagation, on a damaged structure, and on much shorter segments of ambient vibration data than used previously. The structure is modeled as a Timoshenko beam with large shear stiffness, and its compressional wave velocity, , is identified. The change in is measured for the different damage states and is compared with the change of the fundamental frequency of vibration, . The effectiveness of the method is discussed.
Wave Method for Structural Health Monitoring: Testing Using Full-Scale Shake Table Experiment Data
An algorithm of the wave method for structural health monitoring (SHM) is tested and calibrated using shake table experiment data of a full-scale, seven-story, reinforced-concrete building slice. The method is based on monitoring changes in the velocity of waves propagating vertically through the structure, identified by least-squares (LSQ) fit of beam models. The experiment was conducted by a team from the University of California, San Diego (UCSD) on the Network for Earthquake Engineering Simulations (NEES) outdoor shake table. Ambient noise, white noise, and earthquake response data for four progressive damage states were analyzed. The algorithm is tested for the first time on highly dispersive wave propagation, on a damaged structure, and on much shorter segments of ambient vibration data than used previously. The structure is modeled as a Timoshenko beam with large shear stiffness, and its compressional wave velocity, , is identified. The change in is measured for the different damage states and is compared with the change of the fundamental frequency of vibration, . The effectiveness of the method is discussed.
Wave Method for Structural Health Monitoring: Testing Using Full-Scale Shake Table Experiment Data
Ebrahimian, M. (Autor:in) / Todorovska, M. I. (Autor:in) / Falborski, T. (Autor:in)
21.11.2016
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
Full-Scale Building Structural Health Monitoring by Shake Table Tests and Extreme Learning Machine
| Online Contents | 2019
Full-Scale Building Structural Health Monitoring by Shake Table Tests and Extreme Learning Machine
| Online Contents | 2019
Full-Scale Building Structural Health Monitoring by Shake Table Tests and Extreme Learning Machine
| Springer Verlag | 2020
| British Library Conference Proceedings | 2015