Abstract
This paper presents a new paradigm that is possible to aid the traditional experimental analysis in timber joints research. Laboratory experiment has incurred a lot of cost and times to find optimize end distance of a timber joint. Particle swarm optimization (PSO) is applied and tested focusing on a single shear timber joints. The determination of fitness function is based on the findings from the previous datasets of the traditional laboratory experiments. The dataset includes the timber species of Kapur that emphasizes on 2D and 3.5D in diameter of end distance. Several PSO parameters were tested to find the maximum load carrying capacity of timber joint for different end distances. The findings show that PSO can give a feasible solution for a single shear strength timber joint performance. It demonstrates that the PSO has a potential to be used as a timber joint simulations that would be beneficial to timber joint researchers in predicting the load carrying capacity of a joint and contributes in reducing time and cost.
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References
D.W. Green, Strength and stiffness. Wood, 1–5 (2001)
MS 544: Part 2, Malaysian Standard. Code of Practice for Structural use of Timber. Department of Standards Malaysia. SIRIM (2001)
H. Rohana, I. Azmi, A. Zakiah, Shear and bending performance of mortise and tenon connection fastened with dowel. J. Trop. For. Sci. 22(4), 425–432 (2010)
H. Rohana, I. Azmi, A. Zakiah, Bending behaviour of dowelled mortise and tenon joints in kempas. Sci. Res. J. 5(1), 1–11 (2008). ISSN 165-7009
H. Rohana, I. Azmi, A. Zakiah, Shear capacity of dowelled mortise and tenon joint in tropical timber. J. Inst. Phys. Lop Conf. Ser.: Mat. Sci. Eng. 17(1), 1–11 (2010)
M. H. Abu Bakar, Single shear strength of kapur in influence of end distance: 2.5D versus 3.5D. Unpublished project report (Faculty of Civil Engineering, Universiti Teknologi MARA, 2012)
N. W. Mat Nawi, Single shear strength of kapur in influence of end distance: 2D versus 2.5D. Unpublished project report (Faculty of Civil Engineering, Universiti Teknologi MARA, 2012)
NDS, National Design Specification for Wood Construction (American Forest and Paper Association (AFPA), Washington D.C., 2005)
J. Kennedy, R. Ebehart, Particle Swarm Optimization, (1995)
J. Kennedy, The Particle Swarm: Social Adaptation of Knowledge, (1997) pp. 303–308
M. Yusoff, J. Ariffin, A. Mohamed, Solving Vehicle Assignment Problem Using Evolutionary Computation. in Advances Swarm Intelligence, vol 1 (Springer, Berlin, 2010), pp. 523–532
M. Yusoff, J. Ariffin, A. Mohamed, Discrete particle swarm optimization with a search decomposition and random selection for the shortest path problem. J. Comput. Inf. Syst. Ind. Manag. Appl. 4, 578–588 (2012)
J. Venter, J. Sobieszczanski-Sobieski, Parallel particle swarm optimization algorithm accelerated by asynchronous evaluations. J. Aerosp. Comput. Inf. Commun. 3(3), 123–137 (2006)
A.P. Engelbrecht, Computational Intelligence: An Introduction (Wiley, New York, 2007)
Y. Shi, Yuhui, R.C. Eberhart, Empirical study of particle swarm optimization. Evolutionary Computation, CEC 99. Proceedings of the 1999 IEEE Congress on, vol 3 (1999)
Acknowledgments
Special thanks to RIF grants 600-RMI/DANA5/3/RIF (555/2012) from Research Management Institute, Universiti Teknologi MARA.
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Yusoff, M., Shalji, S.M., Hassan, R. (2014). Particle Swarm Optimization for Single Shear Timber Joint Simulation. In: Hassan, R., Yusoff, M., Ismail, Z., Amin, N., Fadzil, M. (eds) InCIEC 2013. Springer, Singapore. https://doi.org/10.1007/978-981-4585-02-6_11
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DOI: https://doi.org/10.1007/978-981-4585-02-6_11
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