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
Category: Blast, impact and vibration
Year: 2015
File: YOUNG.pdf

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Review

Experts in the field of explosion effects on structures use the severity of damage to infrastructure as a means of estimating the explosive yield from accidental or terrorist explosions. The uncertainty associated with these predictions of explosive yield is likely to be significant but is not normally quantified.

The author has developed a methodology for quantifying the uncertainty associated with the estimation of explosive yield for different types of infrastructure. This methodology uses an engineering model of the component of infrastructure, quantifies the airblast loading, the model parameter errors and the model prediction error and combines this with a Monte Carlo simulation to determine the statistical distribution of explosive yield that caused the observed damage.

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