Gentile, R;
Angelucci, G;
WU, J;
Morandi, P;
Milanesi, R;
Mollaioli, F;
O'Reilly, G;
... Jalayer, F; + view all
(2023)
ENFRAG: Enhancing state-dependent FRAGility through experimentally validated energy-based approaches.
In:
Proceedings of the 18th World Conference on Earthquake Engineering (WCEE2024).
World Conference on Earthquake Engineering: Milan, Italy.
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Abstract
This paper presents the preliminary results of the ENFRAG research project, which is part of the ERIES project (engineering research infrastructures for European synergies). ENFRAG aims at advancing state-dependent earthquake fragility assessment methodologies. The project involves sequential quasi-static cyclic displacement-controlled in-plane (IP) and shaking-table dynamic out-of-plane (OOP) tests on four nominally identical infill walls. Different load protocols are employed to induce the same peak-based engineering demand parameters (EDPs) while modulating the energy-based demands. A multi-fidelity approach is employed to integrate the experimental data with synthetic datasets including IP cloud-based analysis, IP quasi-static, push-pull analyses with different load protocols, OOP dynamic analyses, and IP-OOP combined analyses. The results are used to explore the potential of energy-based EDPs for interpreting damage states and damage accumulation. This allows experimentally validating methodologies to derive statedependent fragility functions that account for multiple sources/mechanisms of damage accumulation. This contribution provides an update on the numerical and analytical components of ENFRAG, as well as linking them with the specific research objectives.
Type: | Proceedings paper |
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Title: | ENFRAG: Enhancing state-dependent FRAGility through experimentally validated energy-based approaches |
Event: | 18th World Conference on Earthquake Engineering (WCEE2024) |
Location: | Milano, Italy |
Open access status: | An open access version is available from UCL Discovery |
Publisher version: | https://www.wcee2024.it/ |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Inst for Risk and Disaster Reduction |
URI: | https://discovery.ucl.ac.uk/id/eprint/10180477 |
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