Collaboration: This is a joint workshop between DesignSafe Cyberinfrastructure (https://www.designsafe-ci.org/) and QuakeCoRE, and occurs in conjunction with the 2019 QuakeCoRE Annual Meeting (2-5 September 2019).
Date: 8:00am-4:30pm Tuesday 3rd September 2019
Location: Nelson, New Zealand
Aim: With the increased access to high performance computing (HPC), large-scale datasets, and cloud-based tools, there is now a potential for explosive growth in the type, scale, and impact of research in earthquake resilience. The main goal of this workshop is to provide a forum to present on-going activities related to the use of computational and cyberinfrastructure tools for earthquake resilience and to explore future directions needed to fully exploit these tools by the broader research community.
Online survey in advance of workshop: https://forms.gle/uYRT2eJfGQRrvjDq5
Agenda:
Part 1: Presentations
8:30-8:45 Welcome and Workshop Goals (Brendon Bradley and Ellen Rathje)
8:45-9:15 "Advancing Earthquake Engineering Research using Cyberinfrastructure" (Maxim Millen)
9:15-10:00: Session 1: Cloud-based data analytics and workflows
Joe Vantassel (Univ of Texas): "Using HPC in a Python based workflow to address non-uniqueness in surface wave inversion"
Paolo Zimmaro (UCLA): "DesignSafe Cloud-Based Tools for Next-Generation Liquefaction Assessment"
Robin Lee (UCanterbury): "Automated hybrid broadband ground motion simulation workflow on HPC"
10:00-10:15: Break
10:15-11:00: Session 2: Use of High Performance Computing
Nasser Marafi (Univ of Washington): "Utilizing OpenSees, Python, and Jupyter in HPC for Earthquake Engineering Research"
Chris de la Torre (UCanterbury): "Computational Hurdles and Scalability of OpenSees for Large 3D Site Response Models"
Estefan Garcia (UC Berkeley): "Discrete Element Modeling (DEM) using LIGGGHTS on HPC"
11:00-12:15: Session 3: AI and Machine Learning
Claudio Schill (UCanterbury): ML in computational science applications
David Dempsey (UAuckland): "Using neural networks to emulate large physics models"
Stephanie Paal (Texas A&M): "Machine Learning for seismic performance prediction of reinforced concrete components"
Max Stephens (UAuckland): "Application of Machine Learning to Advance Regional Performance and Resiliency Quantification"
Charles Wang & Barbaros Cetiner (UC Berkeley, SimCenter): "Creating city-scale building information model databases using AI"
Part 2: Breakout sessions
1:00-2:30 Concurrent Breakout session
Cloud-based data analytics and workflows (Moderators:
Use of High Performance Computing (Moderators:
AI and Machine Learning (Moderators:
2:30-3:00 Break
3:00-4:00 Reports from Breakout Sessions and Discussion
4:00-4:30 Closing Comments and Path Forward
Contacts: Ellen Rathje (e.rathje[at]mail[dot]utexas[dot]edu) , Brendon Bradley (brendon[dot]bradley[at]canterbury[dot]ac[dot]nz), Maxim Millen (maxim[dot]millen[at]cantebrury[dot]ac[dot]nz)