SOURCE-LINKED INTELLIGENCE
Stochastic, Reliability-Based Seismic Vulnerability Assessment and Holistic Retrofit for Unreinforced Masonry Buildings in Urban Aggregates, Framed by a New Building Taxonomy for Modelling
, joined by EPFL (secondment) and ASDEA (non-academic placement) for experimental validation and industrial application, with CIMNE as an associated partner linked to the beneficiary, contributing in machine learning integration. This synergy merges structural and earthquake engineering, experimental dynamics, data science, and sustainability, delivering scientific excellence, technological innovation, and practical impact in line with EU climate neutrality goal and UN SDG 11 goal for resilient cities, and sustainable urban development. Unreinforced Masonry Structures, Urban Aggregates, Seismic Vulnerability, Stochastic Reliability-Based Methods, Standardized Numerical Simulations, Holistic Retrofit, Lifecycle Seismic Risk Assessment
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 242593.2
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T05:31:32.981Z. This is not the publication date.