SimCenter Response to COVID-19 — The SimCenter is continuing operations at this time. In accordance with University requirements, workshops and in-person events are postponed until further notice. The SimCenter Forum is the best way for users to interact with the Development Team.


The SimCenter provides next-generation computational modeling and simulation software tools, user support, and educational materials to the natural hazards engineering research community with the goal of advancing the nation’s capability to simulate the impact of natural hazards on structures, lifelines, and communities.

Upcoming Events

  • The International Workshop on OpenMP
  • SimCenter Webinar - Register Here
    • Date: October 6, 2020 | 11am - 12pm PST
    • Title: Hurricane Loss Analysis for Single-Family Houses Considering Current and Changing Climate Conditions
    • Presenter: Dr. Michele Barbato, University of California, Davis
  • Workshop on Resilient Cities through Computation

Webinar Archives

Visit the Knowledge Hub to view past SimCenter Webinars.

SimCenter Early Career Research Webinars – A Call for Candidates

The SimCenter is seeking Graduate Students, Postdocs, and Early Career Faculty who would like to share their simulation-based natural hazard engineering research with their peers. Webinars are anticipated to be 45 minutes in length followed by 15-30 minutes of Q&A. Complete the Nomination Form.

Recent News (News Archive)

Valuable Resources for Natural Hazards Engineering. Two textbooks written by Lallit Anand and Sanjay Govindjee are now available.



NEW SimCenter Webinar: Effects of Flow Shielding & Channeling on Tsunami-Induced Loading of Coastal Structures
Presenter: Andrew Winter, Siemens PLM Software



Luo-Kareem paper awarded 2019 Innovation in Computing Award The 2019 Hojjat Adeli Award for Innovation in Computing goes to Xihaier Luo and Ahsan Kareem.





Lu Article – Third-most read in Earthquake Spectra Journal The third-most read article in Earthquake Spectra is “An open-source framework for regional earthquake loss estimation using the city-scale nonlinear time history analysis."