A novel framework integrating downhole array data and site response analysis to extract dynamic soil behavior   总被引：2，自引：0，他引：2  

Chi-Chin Tsai  Youssef M.A. Hashash   《Soil Dynamics and Earthquake Engineering》2008,28(3):181-197

Seismic site response analysis is commonly used to predict ground response due to local soil effects. An increasing number of downhole arrays are deployed to measure motions at the ground surface and within the soil profile and to provide a check on the accuracy of site response analysis models. Site response analysis models, however, cannot be readily calibrated to match field measurements. A novel inverse analysis framework, self-learning simulations (SelfSim), to integrate site response analysis and field measurements is introduced. This framework uses downhole array measurements to extract the underlying soil behavior and develops a neural network-based constitutive model of the soil. The resulting soil model, used in a site response analysis, provides correct ground response. The extracted cyclic soil behavior can be further enhanced using multiple earthquake events. The performance of the algorithm is successfully demonstrated using synthetically generated downhole array recordings.  相似文献   

Liquefaction,building settlement,and residual strength of two residential areas during the 2016 southern Taiwan earthquake     

Tsai  Chi-Chin  Hwang  Yu-Wei  Lu  Chih-Chieh 《Acta Geotechnica》2020,15(6):1363-1379

Acta Geotechnica - On February 6, 2016, a moment magnitude (Mw) 6.4 earthquake struck southern Taiwan and devastated the Tainan area. Although the intensity of ground shaking was only moderate...  相似文献