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Room: 202A/B

Date: 4/19/2023

Session Time: 8:00 AM to 11:45 AM (local time)

The effects of shallow geological layers and interfaces (within the upper 1-2 km) on the seismic-induced ground motion recorded at the ground surface have been the focus of numerous stud­ies over the past few decades. Though the physics governing the main aspects of site effects (also referred to as “site response” or simply “site amplification”) is relatively well understood, amplification at many actual sites is too complex to be fully described by a set of differential equations under certain initial conditions. Also, ergodic amplification equations, embedded in ground motion models, can only provide average estimates of amplification, and bias is expected in a site-specific posterior application.
This session encompasses a broad range of approaches used in site characterization and their downstream effects on site response analyses and seismic hazard and risk assessments. Topics of interest include active-/passive-source geophysical surveys (e.g., single-/multi-station surface-based array methods, down-/cross-hole methods, seismic interferometry, etc.), soil nonlinearity, numerical or empirical studies on 2D/3D site effects. Studies comparing data collection techniques at the same site and those integrating a variety of datasets are also encouraged. We also invite contributions on the development and/or implementation of state-of-the-art methods in inverse problems, statistical interference techniques and uncertainty and variability quantification, to improve the characterization of near-surface site conditions. Studies on improving our current practice in ground response assessment through the use of Artificial Intelligence (AI) (e.g., database development, benchmarking different AI models and model transferability) are particularly welcome.

Conveners:

Marco Pilz, German Research Center for Geosciences - GFZ (pilz@gfz-potsdam.de)

Chuanbin Zhu, Department of Civil and Natural Resources Engineering, University of Canterbury (chuanbin.zhu@gfz-potsdam.de)

Hiroshi Kawase, Disaster Prevention Research Institute, University of Kyoto (kawase.hiroshi.6x@kyoto-u.ac.jp)

Andres Olivar Castano, University of Potsdam (andres.olivar-castano@uni-potsdam.de)  

Oral Presentations