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

  • SimCenter Development Team Office Hours (Register once for all three dates)
    • April 23, 2021, 12:00 PM - 1:00 PM (Pacific)
    • May 7, 2021, 12:00 PM - 1:00 PM (Pacific)
    • May 21, 2021, 12:00 PM - 1:00 PM (Pacific)

Recent Publications

"A Cloud-Enabled Application Framework for Simulating Regional-Scale Impacts of Natural Hazards on the Built Environment"

Go to SimCenter Publications


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)

New Tool Release! Regional Resilience Determination Tool (R2D). The Regional Resilience Determination Tool (R2D) is intended to advance the capabilities of the natural hazards engineering community to simulate events over large regions and understand their consequences with fine-grained resolution.

SimCenter Leverages Citizen-Science in Zooniverse Launch. The SimCenter launched a project on Zooniverse, a crowd-sourcing website that leverages volunteer efforts of the general public to contribute to research projects.

SimCenter releases its second report on the "State of the Art in Computational Simulation for Natural Hazards Engineering." This second edition reflects comments and suggestions provided by leading researchers, and it includes new chapters on disaster recovery modeling and applications of machine learning and artificial intelligence technologies.