Earthquake Risk and Engineering towards a Resilient World

9 - 10 July 2015, Homerton College, Cambridge, UK

Overview

SECED 2015 was a two-day conference on Earthquake and Civil Engineering Dynamics that took place on 9-10th July 2015 at Homerton College, Cambridge.

This was the first major conference to be held in the UK on this topic since SECED hosted the 2002 European Conference on Earthquake Engineering in London.

The conference brought together experts from a broad range of disciplines, including structural engineering, nuclear engineering, seismology, geology, geotechnical engineering, urban development, social sciences, business and insurance; all focused on risk, mitigation and recovery.

Conference themes

  • Geotechnical earthquake engineering
  • Seismic design for nuclear facilities
  • Seismic hazard and engineering seismology
  • Masonry structures
  • Risk and catastrophe modelling
  • Vibrations, blast and civil engineering dynamics
  • Dams and hydropower
  • Seismic assessment and retrofit of engineered and non-engineered structures
  • Social impacts and community recovery

Keynote speakers

SECED 2015 featured the following keynote speakers (affiliations correct at the time of the conference):

  • Peter Ford and Tim Allmark, Office for Nuclear Regulation, UK
  • Don Anderson, CH2M HILL, Seattle, USA
  • Bernard Dost, Royal Netherlands Meteorological Institute, The Netherlands
  • Anne Kiremidjian, Stanford University, USA
  • Rob May, Golder Associates, Australia
  • Tiziana Rossetto, University College London, UK
  • Andrew Whittaker, University at Buffalo, USA
  • Mike Willford, Arup, The Netherlands

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Review

Correlation of building damage with ground motion parameters has been studied by many researchers using analytical modelling. This paper presents a correlation study using observational data consisting of ground motion recording and insurance claim data from the 2011 Tohoku earthquake. Considering both ground motion parameters and structural demand parameters, through statistical analysis, this study evaluates the capability of various parameters in predicting building damage. It is shown that while no single parameter consistently stands out, Arias Intensity (IA) and spectral acceleration at periods close to the fundamental period of structures correlate well with building damage for all regression methods and goodness-of-fit measures used.

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