1,721,047 research outputs found
The Built Environment Data platform for experimental test data in earthquake engineering
Experimental testing of full structural systems and their components is crucial for understanding their response to earthquakes. Since the 1960s, global interest in such testing has grown, supported by numerous national and international funding initiatives. This has resulted in valuable data that has improved understanding of structural behaviour, spurred the development of new mitigation solutions and helped validate numerical models critical for simulation studies. These advancements have enabled engineers to improve building codes and guidelines, and have allowed risk modellers to more accurately assess risk. With advanced computational resources, integrating experimental findings into broader initiatives becomes crucial. This article discusses a recent European initiative, Built Environment Data (BED), which currently offers a platform to store and manage data from experimental research, embodied carbon and simulated design services. BED aims to serve the European Plate Observing System (EPOS) distributed research infrastructure as one of its Thematic Core Services (TCSs). This paper focuses on the Experiments service for managing experimental data, compares it to similar global efforts and outlines the specific requirements and system architecture, including the web services and datasets currently offered. The Experiments service is expected to significantly support engineers worldwide by making experimental research and data more findable, accessible, inter-operable and re-usable
SP-BELA: Un methodo meccanico per la definizione della vulnerabilità basato su analisi pushover semplificate
A probabilistic displacement-based vulnerability assessment procedure for earthquake loss estimation
Developing fragility and consequence models for buildings in the Groningen field
AbstractThis paper describes the ongoing experimental and analytical activities that are being carried out to develop fatality and consequence models for the estimation of ‘Inside Local Personal Risk’ (ILPR) of buildings within the Groningen field. ILPR is defined as the annual probability of fatality for a hypothetical person who is continuously present without protection inside a building. In order to be able to estimate this risk metric, a robust estimate of the probability of collapse of structural and non-structural elements within a building is needed, as these have been found to be the greatest drivers of fatality risk.To estimate the collapse potential of buildings in Groningen, structural numerical models of a number of representative case studies have been developed and calibrated throughin situand laboratory testing on materials, connections, structural components and even full-scale buildings. These numerical models are then subjected to increased levels of ground shaking to estimate the probability of collapse, and the associated consequences are estimated from the observed collapse mechanisms.</jats:p
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