The Built Environment Data platform for experimental test data in earthquake engineering

Abstract 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) ( https://builtenvdata.eu/ ), 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.

Authors

Institutions

Publication Details

Journal
Earthquake Engineering & Structural Dynamics
Published
2024-09-17
DOI
https://doi.org/10.1002/eqe.4231
Citations
3
Primary Topic
Geological Modeling and Analysis
Type
article
Field-Weighted Citation Impact
1.04

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Built Environment Data platform for experimental test data in earthquake engineering

Gerard J. O’Reilly, Rui Pinho, Helen Crowley, Davit Shahnazaryan
3 citations
Earthquake Engineering & Structural Dynamics
Geological Modeling and Analysis
1.04
article

The Built Environment Data platform for experimental test data in earthquake engineering

Gerard J. O’Reilly, Rui Pinho, Helen Crowley, Davit Shahnazaryan
article en
3 citations

Abstract

Abstract 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) ( https://builtenvdata.eu/ ), 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.

Earthquake Engineering & Structural DynamicsVol. 53(15)
University of Pavia (IT), Istituto Universitario di Studi Superiori di Pavia (IT), Global Earthquake Model (IT), European Centre for Training and Research in Earthquake Engineering (IT)
European Commission
Openalex Percentile: Top 24%
Geological Modeling and Analysis
1.04
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.