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

This paper briefly summarises the process for seismic risk assessment of a single lifeline with reference to different levels of methodological complexity for hazard, exposure, fragility and performance. It goes on to describe two paradigms for modelling interdependencies between lifelines: integrated modelling which is resource-intensive since interdependencies are analysed at element-level at the precise interfaces between systems, and coupled modelling which simplifies the problem by analysing interdependencies at system-level based on measures of the strength of the interaction between the systems. The paper proposes two interdependency parameters, the coupling strength and associated adjustment factor, that can be used quantify the strength of interaction in coupled models and then presents a hierarchy for modelling interdependencies. The hierarchy consists of integrated modelling at the highest level and then four applications of coupled modelling, based on increasingly simplified methods for estimating the interdependency parameters.

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