Michael McGinnis, Michael Gangone and Brad Weldon
Michael McGinnis, Interim Dean, University of Texas at Tyler, Department of Civil Engineering, 3900 University Boulevard., Tyler TX 75799 USA, mmcginnis@uttyler.edu
Michael Gangone, Assistant Professor, University of Texas at Tyler, Department of Civil Engineering, mgangone@uttyler.edu
Brad Weldon, Associate Professor, New Mexico State University, Department of Civil Engineering, Hernandez Hall, PO Box 30001 MSC-3CE, Las Cruces, NM 88003-8001 USA, bweldon@nmsu.edu
ABSTRACT
Clay masonry veneer (CMV) is a popular construction method to form the building envelope in residential construction in the United States. Typically, the CMV is backed by traditional wood framing (TWF). Recent research thrusts are showing that unlike current practice where the contribution of the veneer to the system earthquake resistance is neglected, the masonry veneer does contribute to the energy dissipation and stiffness of the combined system. The current paper investigates the cyclic behavior of CMV with advanced wood framing (AWF) backing. Advanced framing (also termed smart framing, optimum value engineering, etc.) is a technique that uses less wood and provides more room for insulation in the building’s structural envelope thus lowering life cycle heating and cooling energy demands, contributing to a more sustainable approach to residential construction. To establish the strength and deformation characteristics of the combined system, TWF-CMV walls and AWF-CMV walls were subjected to reversed-cyclic in-plane loading. The walls were built using standard building code details, and the CMV of both walls was coupled to the wood framing backing with corrugated metal brick ties at code specified spacing. Deformations of the walls were measured with digital image correlation. Digital image correlation is a technology that uses photogrammetric triangulation principles and image recognition algorithms to track facets within digital images in order to develop full field deformations in three dimensions. Comparisons of the wall lateral drift characteristics are used to investigate the cyclic behavior of the system and to begin developing design guidelines for a resilient system that considers combined system performance.
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