Skip to content

Probabilistic Characterization of Seismic Ground Deformation due to Tectonic Fault Movements

Research output: Contribution to journalArticle

Original languageEnglish
Pages (from-to)316–329
Number of pages14
JournalSoil Dynamics and Earthquake Engineering
Volume100
Early online date21 Jun 2017
DOIs
StatePublished - Sep 2017

Abstract

Tectonic ground deformations in the near-fault region cause major damage to buildings and infrastructure. To characterize ground deformation demands on structures, a novel stochastic approach to evaluate the ground deformations of tectonic origin is developed by combining probabilistic models of earthquake source parameters, synthetic earthquake slip models, and Okada equations for calculating the deformation field due to a fault movement. The output of the method is the probability distribution of ground deformations at a single location or differential ground deformations between two locations. The derived probabilistic models can be employed as input to advanced structural models and analyses. The method is illustrated for the 16 April 2016 Kumamoto earthquake in Japan. By comparing simulated ground deformations with observed deformations at multiple sites, a set of refined source models is first derived and then used to investigate the detailed earthquake characteristics of the event and to develop probability distributions of tectonic ground deformations at target sites.

    Research areas

  • Earthquake, Tectonic ground deformation, Fault rupture, Near-fault region, 16 April 2016 Kumamoto earthquake

Download statistics

No data available

Documents

Documents

  • Full-text PDF (final published version)

    Rights statement: This is the final published version of the article (version of record). It first appeared online via Elsevier at http://www.sciencedirect.com/science/article/pii/S0267726117302324. Please refer to any applicable terms of use of the publisher.

    Final published version, 2 MB, PDF-document

    License: CC BY

DOI

View research connections

Related faculties, schools or groups