Abstract
The Emmerson Lab Launch Initiative (ELLI) was a multi-experiment testing program designed to evaluate the structural performance of mass timber lateral force-resisting systems (LFRS) under cyclic quasi-static loading protocols. The testing program was also designed to showcase, to their fullest potential, the testing capabilities of the A.A. "Red" Emmerson Advanced Wood Products Laboratory at Oregon State University in Corvallis, Oregon, USA (operational since 2020). This paper describes the static and visual data associated with one ELLI experiment comprised of two experiments. The paper also describes the value of the data and its collection process. In both experimental events, the test the gravity system of the test building sub-assemblage consisted of mass ply panel (MPP) diaphragms and out-of-plane walls, laminated veneer lumber (LVL) beams and columns, steel bolted gravity connections, and screwed connections. In the first experimental event, the test building structure did not include a dedicated LFRS separate from its gravity system. In the second experimental event, the test building structure included a self-centering rocking wall as the LFRS that consisted of veneer laminated timber (VLT) panels coupled by U-shaped flexural plate (UFP) energy dissipators with vertical post-tensioned (PT) rods and a horizontal tying system. The data associated with the two experimental events were used to evaluate performance-based seismic design objectives and validate the direct displacement-based method used in the lateral design of the structural system, which are described in Cyclic Testing of Three-Story Mass Timber Building Structure with Self-Centering Rocking Walls Coupled by UFP Dissipators. The dataset includes construction drawings and instrumentation plans of the test building structure as references for data collection and analysis. The dataset also includes displacement, strain, force, photograph, and time-lapse video data that collectively represent the structural behavior of the test building structure and its key components, and they are accessible through Mendeley Data with DOI: 10.17632/v6cs4t4zxc.1. This article complements the associated thesis and research publications by providing a peer-reviewed, standardized, and citable documentation of the experimental dataset, focused exclusively on data generation, structure, processing, limitations, and reuse, without duplicating analytical interpretation or conclusion.