Advances and Frontiers in Modelling of Earthquake Ground Motion
A special issue of Geosciences (ISSN 2076-3263). This special issue belongs to the section "Natural Hazards".
Deadline for manuscript submissions: closed (30 September 2022) | Viewed by 2309
Special Issue Editors
Interests: ground motion models; shaking scenarios; engineering intensity measures; spatial variability of ground motion
Special Issues, Collections and Topics in MDPI journals
Interests: ground motion predicton equations; strong motion records; residual analysis; non ergodic seismic hazard; ground motion variability; seismic engineering parameters
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Reliable quantification of earthquake ground motion is of primary concern for seismic hazard analysis (SHA) and reconstruction of shaking scenarios, as well as for engineering and civil protection purposes.
In recent decades, important advances have been made in this field due to the increasing availability of recorded data worldwide that have better constrained the empirical predictions, making it possible to launch a process of regionalisation of ground motion models (GMMs) in the most sampled areas of the globe, thereby reducing uncertainty in estimates.
Such new tendencies are showing the increasing capability of GMMs to capture physics effects, such as those related to the source rupture, regional propagation e 2D/3D site response.
Additionally, developments in numerical simulations, especially in three-dimensional physics-based models, have helped to improve our knowledge of ground motion description, particularly in the near-source boundary.
This Special Issue invites contributions that address various aspects of ground-motion modeling, particularly focused on:
- Current state of research
- New insights and implementations of GMMs in SHA and engineering applications
- Ergodic and non-ergodic GMMs
- Modeling of near-source effects
- Empirical vs. physics-based GMMs
- Studies on ground motion spatial correlation
- Advanced methods for model calibration and related limitations
- New frontiers and future developments
Submissions can include original research articles or comprehensive reviews relating to the description above.
Dr. Sara Sgobba
Dr. Giovanni Lanzano
Guest Editors
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