The Global Earthquake Model - Physical Vulnerability
Analytical & Empirical Guidelines for Vulnerability Assessment
Course outline
This intensive 3 day course organised by UCL and supported by SECED offers a comprehensive overview of the recently released GEM Vulnerability Assessment Guidelines.
Understanding and quantifying physical vulnerability is essential to achieving risk reduction. The Global Earthquake Model promotes better tools to model risk and to improve resilience. The GEM Analytical and Empirical Vulnerability Guidelines provide a globally applicable model to derive vulnerability functions for exposed typologies following a standardised approach.
This course offered at UCL by the Guidelines’ authors, members of the EPICentre research group, will cover methodologies based on statistical treatment of post event damage data analysis and methodologies based on numerical simulation of structural response and damage, as well as presenting strategies to deal with the uncertainties associated to both methods.
Hands-on activities based on the application of the Guidelines to real scenarios will provide direct training on research-based ready to use tools for seismic vulnerability assessment. Attendees will be able to use the GEM OPENQUAKE platform and GEM Fragility Functions Database and Selection Tools.
The course is aimed at seismic engineers, catastrophe modellers, researchers and civil protection officers with civil engineering and/or statistics background at Master level and/or experience in seismic risk assessment. Availability is limited to 20 places.
Further information and registration
The booking/registration page for this course can be accessed via this link.
Visit www.epicentreonline.com for more information on the Course and the Speakers.
Visit www.nexus.globalquakemodel.org to access the current version of the Guidelines.
To register your interest or find out more about this CPD course, contact
Event Details
Event Date | 17/11/2014 |
Event End Date | 19/11/2014 |
Location | University College London |