Performance evaluation of a ground motion model applicable to hard rock site conditions for Turkey

Date

2023-7-7

Author

Kanun, Onur

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One of the most common methods used in earthquake engineering applications is to determine the design ground motion parameters for engineering bedrock conditions using ground motion models (GMMs). Then, by modeling the response of the soil layers overlying the engineering bedrock, a site-specific response spectrum is developed. This process requires that the GMM is applied to stiff/hard rock site conditions with high shear wave velocity (VS) values (VS>1100 m/s). The application of GMMs to stiff/hard rock site conditions involves several uncertainties due to the limited amount of ground motion data compiled from hard rock site conditions (Bard et al., 2019). In order to overcome the data sparsity, deconvolution of surface ground motions by 1-dimensional (1-D) soil response analysis may be applied to obtain ground motion values on deeper and stiffer soil layers (Laurendeau et al., 2018). The objective of this study is to evaluate the performance of GMMs applicable to hard rock site conditions using the strong ground motion network managed by the Turkish Disaster and Emergency Management Presidency (AFAD). By examining the site characterization reports of AFAD stations, 40 candidate stations and 2977 strong motion recordings were selected for this study. By utilizing the VS profile of these stations, 1-D ground response analyses were performed and ground motion records in the engineering bedrock were estimated using the recorded ground motions on the surface. The performance of the Laurendeau et al. (2018) model to predict the deconvolved ground motions was evaluated by using the analysis of residuals. Analysis results showed that the selected GMM is applicable for earthquake engineering applications in Turkey for hard rock site conditions.

Subject Keywords

Deconvolution, Ground motion model, Hard rock GMPE, 1-d ground response analysis, Equivalent linear analysis

URI

https://hdl.handle.net/11511/104731

Collections

Graduate School of Natural and Applied Sciences, Thesis