Numerical and experimental failure analysis of screwed single shear joints in wood plastic composite |
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| Affiliation: | 1. Department of Wood and Paper Science and Technology, College of Natural Resources, University of Tehran, Karaj, Iran;2. Faculty of Science and Engineering, Department of Natural Resources Process Engineering, Shimane University, Nishikawazu-cho 1060, Matsue, Shimane 690-8504, Japan;1. Mechanical & Automotive Engineering, Faculty of Engineering and Computing, Coventry University, Priory Street, Coventry, UK;2. Dublin Institute of Technology, Centre for Elastomer Research (CER), Lurgan Street, Dublin 1, Ireland;3. School of Engineering and Applied Science, Aston University, Aston Triangle, Birmingham, UK;1. Dipartimento di Ingegneria Civile, Edile-Architettura e Ambientale, University of L’Aquila, 67100 L’Aquila, Italy;2. International Research Center on Mathematics and Mechanics of Complex Systems, University of L''Aquila, 67100 L''Aquila, Italy;3. Research Associate, CNR IVALSA – National Research Council of Italy, Trees and Timber Institute, Via Biasi 75, 38010 San Michele all’Adige, Italy |
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| Abstract: | In this research, effects of end distances and thicknesses of side and main members on failure loads and also modes of failure of single shear plane joint, made on wood plastic composite (WPC) were studied, both experimentally and numerically as well. Yamada-Sun failure criterion was used to determine failure loads of this kind of joints fabricated on WPC and results were compared with that of experimental observations. Numerical analysis was made by making use of ABAQUS finite element (FE) software. Experiments were conducted according to ASTM D-1037. Predicted failure loads by numerical models were in good agreement with those observed experimentally. Results have indicated that failure load of tested joint is dependent on end distance and thickness of corresponding members as well. Failure modes were determined both by numerical models and tested joints. FE models were used to perform stress analysis. |
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