Despite the wide availability of large ground motion databases, the selection of records remains a challenge for nonlinear response history analysis of structures in practice. Ground motion records are typically recorded at different locations than the site of interest, and thus correspond to different hazard scenarios. Furthermore, most of the existing ground motion databases contain small-to-moderate records, as there is a scarcity of recorded motions for near-field stations and destructive events with long return periods. This lack of large-magnitude earthquakes at small epicentral distances, or on soft soil conditions, can pose an additional challenge when a full-range, performance-based assessment is required.
One prevalent method for addressing this issue involves adjusting the amplitude of a ground motion record to align with a specific seismic hazard scenario, often introduced as a target acceleration spectrum or a ground motion model. Nevertheless, the practice of scaling is a contentious matter as it is likely to introduce bias, leading to systematic under- or overestimating of the actual structural response. The difficulty of finding ground motion records from extreme earthquakes for studying ultimate limit states of structures, led the research community to the generation of artificial/synthetic accelerograms. Recent advancements have concentrated on incorporating ground motion simulations in areas with limited recorded data as an alternative to using recorded ground motion records in the selection process. This strategy aids in minimizing the ground motion scaling for regions with inadequate data coverage.
This Research Topic welcomes: Original Research, Methods, Perspective or General Commentaries and Reviews/Mini-reviews.
Topics to be covered, but not limited to, are:
• Selection/scaling techniques in earthquake engineering;
• Spectrum matching (automated, semi-automated, rigorous procedures, optimization approaches);
• Synthetic/artificial acceleration time histories (stochastic approaches).
Keywords:
selection, scaling, spectrum matching, artificial accelerogram, synthetic accelererogram, ground motion records
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
Despite the wide availability of large ground motion databases, the selection of records remains a challenge for nonlinear response history analysis of structures in practice. Ground motion records are typically recorded at different locations than the site of interest, and thus correspond to different hazard scenarios. Furthermore, most of the existing ground motion databases contain small-to-moderate records, as there is a scarcity of recorded motions for near-field stations and destructive events with long return periods. This lack of large-magnitude earthquakes at small epicentral distances, or on soft soil conditions, can pose an additional challenge when a full-range, performance-based assessment is required.
One prevalent method for addressing this issue involves adjusting the amplitude of a ground motion record to align with a specific seismic hazard scenario, often introduced as a target acceleration spectrum or a ground motion model. Nevertheless, the practice of scaling is a contentious matter as it is likely to introduce bias, leading to systematic under- or overestimating of the actual structural response. The difficulty of finding ground motion records from extreme earthquakes for studying ultimate limit states of structures, led the research community to the generation of artificial/synthetic accelerograms. Recent advancements have concentrated on incorporating ground motion simulations in areas with limited recorded data as an alternative to using recorded ground motion records in the selection process. This strategy aids in minimizing the ground motion scaling for regions with inadequate data coverage.
This Research Topic welcomes: Original Research, Methods, Perspective or General Commentaries and Reviews/Mini-reviews.
Topics to be covered, but not limited to, are:
• Selection/scaling techniques in earthquake engineering;
• Spectrum matching (automated, semi-automated, rigorous procedures, optimization approaches);
• Synthetic/artificial acceleration time histories (stochastic approaches).
Keywords:
selection, scaling, spectrum matching, artificial accelerogram, synthetic accelererogram, ground motion records
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.