Dataset from the dynamic shake-table experiments on a full-scale unreinforced clay-brick masonry building with chimneys

This data paper outlines detailed information on the ac-quisition and use of sensor measurements from shake-table experiments on a full-scale unreinforced masonry building. The tests were carried out at the shake-table facilities of the National Laboratory for Civil Engineering in Lisbon, Por-tugal. The building specimen, replicating a typical Dutch single-storey detached house, was made of solid clay bricks and featured a gambrel roof and two chimneys. It was densely instrumented with accelerometers, potentiometers, and LVDTs, recording the response of various structural and non-structural elements. A series of unidirectional dynamic tests of increasing shaking intensity was performed, provid-ing a unique dataset that captures at full scale the in-plane and out-of-plane behaviour of walls and the influence of flex-ible timber diaphragms on the dynamic global response of an entire building. The dataset is instrumental in improving the accuracy and reliability of simulations focused on the dy-namic response, progressive damage, and collapse of unre-inforced masonry buildings under seismic actions. The au-thors made this data available to support the development of analytical and numerical models, advancing research in earthquake engineering and performance-based seismic assessment of unreinforced brick-masonry buildings. The comprehensive dataset, including acceleration and displacement time series, is hosted on the Built Environment Test Data platform and is freely accessible without any restrictions through https://www.betestdata.eu/ , assisting researchers and engineers in effectively utilising the data for further studies.(c) 2023 Published by Elsevier Inc. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ )

Automated summary

This data paper provides detailed information about a dataset obtained from sensor measurements in shake-table experiments on an unreinforced masonry building. The dataset captures the behavior of walls and the overall response of the building, providing valuable insights for improving earthquake simulations and analysis of masonry structures.