Hands-on Workshops
University of California, Los Angeles
8:00 - 12 pm, February 5, 2025
Cost: $30 on or before Nov 1 (early-bird) and $50 through Nov 20
Abstract:
This workshop provides a comprehensive introduction to the application of street view imaging systems in natural hazard research and assessment. Participants will gain hands-on experience with state-of-the-art street view data collection techniques, post-processing methods, and machine learning tools for extracting valuable information from street-level imagery.
The workshop will cover:
This workshop is designed for engineers and scientists working in the natural hazards field who seek to incorporate advanced imaging and data analysis techniques into their research and assessment workflows. Participants will leave with a solid foundation for implementing these tools in their own work, enhancing their ability to identify, quantify, and mitigate potential hazards in urban and rural environments.
The RAPID Facility enables transformative research by equipping natural hazard and disaster researchers with essential resources to collect, process, and analyze perishable data from extreme events. These comprehensive open datasets enable the development and calibration of scientific natural hazard simulation models. Our work supports NSF-supported researchers, extreme event reconnaissance (EER) organizations, and federal agencies.
Questions? Email uwrapid@uw.edu
University of California, Los Angeles
12:30 - 5:30 pm, February 5, 2025
Cost: $30 on or before Nov 1 (early-bird) and $50 through Nov 20
Objectives
Agenda
12:30 pm | Welcome and NHERI Overview | |
1:15 | Session 1: Navigating quoFEM for Uncertainty Quantification | |
2:15 | Break | |
2:30 | Session 2 | |
Track 1: Storm surge modeling and data analysis using ADCIRC on DesignSafe | ||
Track 2: Navigating the R2D Tool and BRAILS for regional simulations and inventory development | ||
Track 3: Navigating WE-UQ for wind engineering | ||
Track 4: Navigating Hydro-UQ for hydrodynamics | ||
Track 5: Navigating EE-UQ and PBE Application for earthquake engineering | ||
Track 6: Leveraging DesignSafe HPC Resources using OpenSees in both Structural and Geotechnical modeling | ||
3:40 | Break and Refreshments | |
4:00 | Session 3 (These tracks are duplicates of Session 2, providing you the flexibility to attend multiple tracks.) | |
Track 1: Storm surge modeling and data analysis using ADCIRC on DesignSafe | ||
Track 2: Navigating the R2D Tool and BRAILS for regional simulations and inventory development | ||
Track 3: Navigating WE-UQ for wind engineering | ||
Track 4: Navigating Hydro-UQ for hydrodynamics | ||
Track 5: Navigating EE-UQ and PBE Application for earthquake engineering | ||
Track 6: Leveraging DesignSafe HPC Resources using OpenSees in both Structural and Geotechnical modeling | ||
5:00 | Break | |
5:10 | Discussion: Accelerating research, contributing your work, and feedback. | |
5:30 | Workshop closure |
Questions? Email nheri-simcenter@berkeley.edu
Open source resources for natural hazards research
Social and Health Impacts of Natural Hazards
Modeling and Prediction of Tsunami and Debris Flow Dynamics
Resilience to Flooding and Extreme Rainfall and Storm Surge Impact Evaluation
Advances in Wind Simulation for Risk and Resilience
Computational Methods for Geotechnical Hazards
Machine Learning Applicaitons in Earthquake Engineering
Resilience, Risk, and Mitigation Strategies in Earthquake Engineering
This session will introduce the high-performance computing (HPC) resources available through DesignSafe, including multi-node clusters, GPU-enabled systems, and research storage capabilities, along with the streamlined process to gain access. Demonstrations will showcase research workflows using software such as OpenSees, ADCIRC, ML tools, and OpenFoam. Participants will learn multiple approaches to job submission, including through the web portal interface, interactive Jupyter notebooks, and command line tools.
Hosts: Krishna Kumar and Scott Brandenberg
Reservations required. Reserve at time of Symposium registration.