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 seced@ice.org.uk. For the sake of clarity, commercial usage would be considered as, but not limited to:
Should you have any questions about our licensing policies, please contact seced@ice.org.uk.

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The objective of this study is to identify an optimal intensity measure (IM) for conditioning probabilistic seismic demands of case-study reinforced concrete (RC) frame buildings, representative of mid-rise RC building classes in the Mediterranean region. The prediction is performed via statistical relationship between multiple IMs (particularly advanced scalar parameters accounting for spectral shape over a range of periods) and various displacement-based engineering demand parameters (EDPs). Such statistical relationships are built on data obtained from analysis of the frames subjected to over nine hundred ground motion records by employing an innovative capacity spectrum method, introduced in the paper, which uses inelastic response spectra derived from actual earthquake accelerograms to estimate seismic demand and derive fragility curves. The outcomes of the present work are in a good agreement with previous investigations conducted by other researchers on selecting optimal IMs for predicting structural response by using full nonlinear dynamic analyses for different structural typologies.