134 citations · 271 across the 13 of their papers we have counts for
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Review and Validation of Stochastic Ground Motion Models: which one does it better?
Maijia Su, Mayssa Dabaghi, Marco Broccardo
Stochastic ground motion models (GMMs) are gaining popularity and momentum among engineers to perform time-history analysis of structures and infrastructures. This paper aims to re…
Surrogate modeling for probability distribution estimation:uniform or adaptive design?
Maijia Su, Ziqi Wang, Oreste Salvatore Bursi +1
The active learning (AL) technique, one of the state-of-the-art methods for constructing surrogate models, has shown high accuracy and efficiency in forward uncertainty quantificat…
The Importance of Corner Frequency in Site-Based Stochastic Ground Motion Models
Maijia Su, Mayssa Dabaghi, Marco Broccardo
Synthetic ground motions (GMs) play a fundamental role in both deterministic and probabilistic seismic engineering assessments. This paper shows that the family of filtered and mod…