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The length of mass timber wall panels is a limiting factor in designing taller buildings. Splice designs are needed to maintain panel transportability while transferring shear and moment forces from higher floors to the foundation under lateral loading. One such splice design utilizes structural adhesive to glue threaded steel rods into the ends of wall panels being connected. This paper reports tests of the tension capacity of glued-in rods embedded in Mass Ply Panels (MPP). Twenty glued-in rods were tested under monotonic and cyclic protocols. Embedment depths ranged between 304.8 mm (12 in.) and 812.8 mm (32 in.). Load and displacement were measured during tests to report values per ISO 6891 and an international code council acceptance criteria document. Elastic stiffness, peak capacity, design capacity, and a predictive capacity equation were determined. Results showed a similar stiffness for all embedment depths and a negligible difference between peak capacities from monotonic and cyclic testing. While the data reported is only directly applicable for analysis of the specific MPP and epoxy combination used in the test program, the methodology herein can be utilized for future testing of timber-adhesive glued-in rods. 

The CREATE Supervisory Controls and Data Acquisition (SCADA) project is an industry driven initiative brought about by three colleges, working with an industry utility partner. The project began in July 2019 with the goal of integrating 21st century SCADA technology into existing energy education programs. The project delivered both in-person and online faculty professional development for 28 faculty representing 17 U.S. states. Products produced and distributed through the project network include a SCADA job task analysis, curriculum modules, control board trainers and lab activities, computer-based labs, and a web based open-source SCADA platform. The SCADA open-source platform allows colleges to connect their renewable energy generating systems and provide analytical training to their students using their own data, along with data from other regions and simulation sets. This resource will foster student engagement and ownership of learning through generation, visualization, and analysis of long term and large data sets. This study demonstrates the value of collaboration between multiple academic institutions, and how educational programs can benefit from collaboration with industry partners.