Water-borne Hazards Engineering with Uncertainty Quantification

Frank McKenna , Justin Bonus , Ajay B Harish & Nicolette Lewis

The Water-borne Hazards Engineering with Uncertainty Quantification (HydroUQ app) is an open-source research application for predicting the response of a building in a community subjected to water-borne events, namely tsunamis and storm surges. The application is focused on quantifying the uncertainties in the predicted structural response, given the uncertainties in models, loads, and analysis. The computations are performed in a workflow application that will run on a high-performance computer made available by DesignSafe.

This document covers the features and capabilities of Version 4.0.0 of the tool. Users are encouraged to comment on what additional features and capabilities they would like to see in future versions of the application through the github discussion page.

About

• 1. About
• 2. Acknowledgments
• 3. Copyright and License
• 4. How To Cite
• 5. Capabilities
• 6. Release Notes
• 7. Release Plans
• 8. Glossary
• 9. Abbreviations

User Manual

• 1. Installation
• 2. User Interface
• 3. Tools
• 4. Examples
• 5. Best Practices
• 6. Troubleshooting
• 7. Requirements
• 8. Bugs & Feature Requests
• 9. Video Overview

Technical Manual

• 1. Dakota Methods
• 2. Damping Options
• 3. Water-borne Hazards
• 4. Shallow Water Solvers
• 5. CFD Solvers
• 6. Finite Volume Method
• 7. Material Point Method

Developer Manual

• 1. How to Build
• 2. How to Extend
• 3. Verification

Contact

Frank Mckenna (fmk@berkeley.edu), Justin Bonus (bonus@berkeley.edu), Ajay B Harish (ajay.harish@manchester.uk.edu), Nicolette Lewis (nlewis@schnabel-eng.com). NHERI SimCenter, University of California Berkeley.

References

GBS20

Xingquan Guan, Henry Burton, and Thomas Sabol. Python-based computational platform to automate seismic design, nonlinear structural model construction and analysis of steel moment resisting frames. Engineering Structures, 224:111199, 2020.