English

A Seismologically Consistent Surface Rupture Length Model for Unbounded and Width-Limited Event

Geophysics 2022-11-08 v2 Earth and Planetary Astrophysics

Abstract

A new surface-rupture-length (SRLSRL) relationship as a function of magnitude (M\mathbf{M}), fault thickness, and fault dip angle is presented in this paper. The objective of this study is to model the change in scaling between unbounded and width-limited ruptures. This is achieved through the use of seismological-theory-based relationships for the average displacement scaling and the aid of dynamic fault rupture simulations to constrain the rupture width scaling. The empirical dataset used in the development of this relationship is composed of 123123 events ranging from M 5\mathbf{M}~5 to 8.18.1 and SRL 1.1SRL~1.1 to 432 km432~km. The dynamic rupture simulations dataset includes 554554 events ranging from M 4.9\mathbf{M}~4.9 to 8.28.2 and SRL 1SRL~1 to 655 km655~km. For the average displacement (Dˉ\bar{D}) scaling, three simple models and two composite models were evaluated. The simple average displacement models were: a square root of the rupture area (A\sqrt{A}), a down-dip width (WW), and a rupture length (LL) proportional model. The two composite models followed a A\sqrt{A} scaling for unbounded ruptures and transitioned to WW and LL scaling for width-limited events, respectively. The empirical data favors a DˉA\bar{D} \sim \sqrt{A} scaling for both unbounded and width-limited ruptures. The proposed model exhibits better predictive performance compared to linear log(SLR)M\log(SLR)\sim\mathbf{M} type models, especially in the large magnitude range, which is dominated by width-limited events. A comparison with existing SRLSRL models shows consistent scaling at different magnitude ranges that is believed to be the result of the different magnitude ranges in the empirical dataset of the published relationships.

Keywords

Cite

@article{arxiv.2209.10401,
  title  = {A Seismologically Consistent Surface Rupture Length Model for Unbounded and Width-Limited Event},
  author = {Grigorios Lavrentiadis and Yongfei Wang and Norman A. Abrahamson and Yousef Bozorgnia and Christine Goulet},
  journal= {arXiv preprint arXiv:2209.10401},
  year   = {2022}
}

Comments

21 pages, 11 figures

R2 v1 2026-06-28T01:49:28.720Z