Benchmark dataset from centrifuge shake table tests of 3D‐printed unreinforced masonry structures for seismic model validation

This data paper presents a comprehensive dataset derived from a series of 29 centrifuge shake table tests of 29 identical virgin small-scale physical models of an unreinforced masonry (URM) structure. System-level testing of full-scale civil engineering structures under seismic loading is often prohibitively expensive and time-consuming due to specimen size and facility requirements. To address these limitations, focusing on global-level assumptions in modeling earthquake behavior, the small-scale (1:15) models of the URM structure were tested in the ETH Zurich geotechnical centrifuge to preserve similitude. The models were produced using additive manufacturing (3D printing) technology to create masonry-like elements. The microgeometry of the printed elements was modulated to physically simulate mortar joints, allowing for testing of a model comprising a single printed material as a surrogate for traditional masonry. The paper describes the specimen and the experimental setup, the applied ground motions and scaling principles, the instrumentation, and key test results, including the observed failure modes. The related dataset is publicly available through the ETH Research Collection platform and is systematically organized. Examples of extracted raw data, including time histories of input motion and sensor measurements, as well as response spectra, are presented for both a failed and a non-failed structure. The dataset is intended to serve as a benchmark for the validation of system-level assumptions in analytical and numerical models of URM structures subjected to seismic loading. Its potential for reuse includes comparing different modeling approaches, structural identification studies, educational purposes, and enhancing the understanding of seismic vulnerability in historical URM.