Society for Earthquake and Civil Engineering Dynamics
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.
SECED 2015 featured the following keynote speakers (affiliations correct at the time of the conference):
SECED allows the self-archiving of the Author Accepted Manuscripts (AAM) from the SECED 2015 Conference. This means that all authors can make their conference paper available via a green open access route. The full text of your paper may become visible within your personal website, your institutional repository, a subject repository or a scholarly collaboration network signed up to the voluntary STM sharing principles. It may also be shared with interested individuals, for teaching and training purposes at your own institution and for grant applications (please refer to the terms of your own institution to ensure full compliance).
To deposit your AAM, please adhere to the following conditions:
SECED allows authors to deposit their AAM under the Creative Commons Attribution Non-commercial International Licence 4.0 (CC BY-NC 4.0). The deposit must clearly state that the AAM is deposited under this licence and that any reuse is allowed in accordance with the terms outlined by the licence. To reuse the AAM for commercial purposes, permission must be sought by contacting firstname.lastname@example.org. For the sake of clarity, commercial usage would be considered as, but not limited to:
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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.