A study on application of data fusion of vision-based displacement with acceleration to post-earthquake fast building seismic evaluation

• Main Authors: Quang-Vinh, Pham, Quang Vinh, Pham
• Other Authors: Ting-Yu Hsu
• Format: Others
• Language: en_US
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/gt58ea

碩士 === 國立臺灣科技大學 === 營建工程系 === 106 === Rapid seismic assessment of structure after an earthquake can facilitate recovery of operation and therefore improve resilience of the structure. For the facility that plays key roles of rescuing or refuge centers (such as hospitals, power facilities etc.) or high-value facilities (such as high-tech factories, high-speed railway, etc.), immediate operation again right after disrupt of an earthquake for these structure is critical. This study is to establish a post-earthquake rapid seismic evaluation method. The method uses structural response and pushover analysis to estimates residual seismic capacity of building structures. This study also shows the feasibility of fusion method using Butterworth filter to vision-based displacement enhancement. The proposed method was verified using a steel frame structure damaged during simulated earthquakes on a shaking table. The results reveal that the fusion method can generate high accurate displacement signal from vision-based displacement and acceleration. According to the post-earthquake evaluation results, the stiffness of the structure was reduced significantly after the simulated earthquake excitation with peak ground acceleration PGA>200, despite the residual displacement was negligible. Comparing the estimated seismic capacity to experimental observation, the proposed post-earthquake rapid seismic capacity evaluation method underestimated seismic capacity of damaged structures in term of PGA. Moreover, the estimation of damaged level results based on inter-story drift ratio data, which was identified from fusion displacement data are seem reasonable. In conclusion, this study provides a promising procedure to speedy evaluate the health of an existing building structure after the earthquake. However, it is necessary to have further studies to improve the accuracy and to reduce uncertainty of the CSM