{"id":38728,"date":"2025-07-07T17:05:01","date_gmt":"2025-07-07T16:05:01","guid":{"rendered":"https:\/\/www2.eucentre.loc\/built-environment-data\/"},"modified":"2025-07-25T10:32:48","modified_gmt":"2025-07-25T09:32:48","slug":"built-environment-data","status":"publish","type":"page","link":"https:\/\/www.eucentre.it\/en\/built-environment-data\/","title":{"rendered":"Built Environment Data"},"content":{"rendered":"
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BED (Built Environment Data) is a service that focuses on providing data, products, services and software (DDSS) related to buildings and urban infrastructure (i.e. the built environment) according to FAIR principles. The project currently consists of six services:<\/p>\n

Experiments<\/span><\/i> is a service maintained and developed by the University of Pavia in collaboration with the EUCENTRE Foundation, IUSS Pavia and with technical support from the Global Earthquake Model (GEM) Foundation to provide open access to experimental test data on the performance of buildings and infrastructure. This data has been generated by many experimental tests in Europe and can be used for the validation and calibration of numerical models required to assess the vulnerability of buildings and infrastructure. The web service offers a taxonomy-based search engine for seamless and efficient exploration of datasets. Users can not only access data through a user-friendly interface but also programmatically, ensuring flexibility in integration. Emphasising community collaboration, our platform welcomes open experimental data contributions, assigning each dataset a Creative Commons CC-BY licence with a Digital Object Identifier (DOI) for proper attribution and recognition.<\/span><\/p>\n

The <\/span>RESSLab-hub<\/span><\/i>, which was developed by the Resilient Steel Structures Laboratory (RESSLab) at \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), provides open-access structural performance databases along with state-of-the-art interative component modeling and fragility functions with the overarching goal to advance knowledge for minimizing the earthquake risk of steel structures. The available data can facilitate studies to benchmark the seismic performance of infrastructure systems, to develop standardized predictive models for maintenance and life-cycle assessment of our built environment and to further develop our codes and standards.<\/span><\/p>\n

URM Data<\/span><\/i>, this database of shake table tests on full unreinforced masonry (URM) buildings has been curated by the Earthquake Engineering and Structural Dynamics (EESD) group at \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL). This open-access, web-based interactive platform enables users to quickly identify and access shake table test data for brick and stone masonry structures. The data is systematically organized in a consistent and user-friendly format, facilitating efficient retrieval of specific information and test results. Additionally, the platform offers ready-to-use numerical models in OpenSees, supporting model validation and uncertainty quantification studies for the seismic assessment of URM buildings.<\/span><\/p>\n

Stone Masonary Data<\/span><\/i>, this database of shear-compression tests on stone masonry walls has been curated by the Earthquake Engineering and Structural Dynamics (EESD) group at \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL). This open-access, web-based interactive platform enables users to quickly identify and access test data for all stone masonry typologies. Material test data on mortar, stone and masonry is included in the database where available. Next to the test data, also stiffness, strength and drift capacities calculated from bilinearization of the experimental enveloped are provided. The database was established for the paper by Vanin et al. (2017) but new test results are added continuously.<\/span><\/p>\n

The <\/span>SimDesign<\/span><\/i> service implements a collaborative framework to perform the simulated design of buildings following the past and current seismic design procedures in Europe. It utilises open-source software and data to allow the engineering community in Europe to contribute to the database of design codes already implemented. The framework generates a Building Class Information Model (BCIM) for a given taxonomy to represent several possible building realisations and reflect the building-to-building variability. Each realisation is processed with an iterative simulated design procedure, and the final building design details (e.g., reinforcement, dimensions of columns and beams) are stored in the Building Design Information Model (BDIM). Numerical models are created in OpenSees .tcl and .py. They can be used to perform non-linear analyses of the designed buildings and obtain probabilistic seismic demand models, which will ultimately support the development of fragility functions and vulnerability models for residential buildings in Europe.<\/span><\/p>\n

Embodied Carbon<\/span><\/i> is a service maintained and developed by the Global Earthquake Model (GEM) Foundation that provides access to data and maps of the embodied carbon associated with the seismic damage repair and replacement of residential, commercial and industrial buildings worldwide. This service can be used in various studies on the built environment, such as:<\/span><\/p>\n