Kang, X.; Chen, H.; Zhao, G.; Lin, X.; Zheng, L.; Chen, Y.; Liu, Q.; Zhao, Z.; Chen, X.; Wang, F. Nearby Real-time Earthquake Simulation on an Urban Scale Based on Structural Monitoring. Preprints2024, 2024080247. https://doi.org/10.20944/preprints202408.0247.v1
APA Style
Kang, X., Chen, H., Zhao, G., Lin, X., Zheng, L., Chen, Y., Liu, Q., Zhao, Z., Chen, X., & Wang, F. (2024). Nearby Real-time Earthquake Simulation on an Urban Scale Based on Structural Monitoring. Preprints. https://doi.org/10.20944/preprints202408.0247.v1
Chicago/Turabian Style
Kang, X., Xianan Chen and Fei Wang. 2024 "Nearby Real-time Earthquake Simulation on an Urban Scale Based on Structural Monitoring" Preprints. https://doi.org/10.20944/preprints202408.0247.v1
Abstract
The real-time input of ground motions can effectively assess earthquake disasters in building structures. In this study, we proposed a nearby real-time simulation method that can be applied to assess regional earthquake disasters using structural monitoring recordings based on an urban earthquake simulation system. Real-time accelerations recorded during the 5.1 magnitude Tangshan earthquake were used to update and modify the computing models. El Centro waves were calibrated to 400 cm/s2 for structural seismic resilience analyses. The results indicated that approximately 70% of the structural functions were lost during rare earthquakes. Regional numerical models of 216 buildings were constructed and timeously updated using the Geographic Information System and measured data. The inputting ground motions recorded in the 5.1 magnitude Tangshan earthquake and typical El Centro waves were selected to analyze the structural seismic response, in which the damage indexes were computed, and the damage predictions of regional 216 buildings were also simulated in different levels of earthquakes by being combined with the simplified principles of structural damage estimation. Finally, the evaluation results were visualized in three dimensions using ParaView software. The simulated results of earthquake disasters at an urban scale will promote the prediction abilities of local earthquake administration agencies and have considerable potential to provide essential information for emergency responses and regional disaster mitigation.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
