Multicriteria Evaluation of Structural Composite Lumber Products

Year 2020, Volume: 5 Issue: 5, 807 - 813, 31.12.2020

Hilal Singer Şükrü Özşahin

https://doi.org/10.35229/jaes.833750

Cited By: 2

Abstract

In this study, laminated veneer lumber, parallel strand lumber, and laminated strand lumber were evaluated via multicriteria decision-making methods. Within the model, nine evaluation criteria were defined: moisture content, density, bending strength, modulus of elasticity, compression strength parallel to grain, dynamic bending strength, tensile strength parallel to surface, tensile strength perpendicular to surface, and screw holding capacity. The weights of the criteria were computed using the fuzzy analytic hierarchy process (FAHP). The evaluation based on distance from an average solution (EDAS) and the technique for order preference by similarity to an ideal solution (TOPSIS) were employed to determine the ranking of the alternatives. After the borda count method was used, an integrated ranking was obtained. According to the results, the first three important subcriteria were density, bending strength, and modulus of elasticity. Furthermore, laminated veneer lumber was determined as the best alternative. Consequently, this study can present a road map to evaluate wooden materials.

Keywords

EDAS, FAHP, multicriteria decision-making, structural composite lumber, TOPSIS

Yapısal Kompozit Kereste Ürünlerinin Çok Kriterli Değerlendirilmesi

Abstract

Bu çalışmada, tabakalanmış kaplama kereste, paralel şerit kereste ve tabakalanmış şerit kereste çok kriterli karar verme yöntemleri ile değerlendirilmiştir. Modelde dokuz değerlendirme kriteri belirlenmiştir: rutubet miktarı, yoğunluk, eğilme direnci, elastikiyet modülü, liflere paralel basınç direnci, dinamik eğilme direnci, yüzeye paralel yönde çekme direnci, yüzeye dik yönde çekme direnci ve vida tutma kabiliyeti. Kriterlerin ağırlıkları bulanık analitik hiyerarşi prosesi (BAHP) kullanılarak hesaplanmıştır. Alternatiflerin sıralamasını belirlemek için ortalama çözüm uzaklığına göre değerlendirme (EDAS) ve ideal çözüme benzerliğe göre tercih sıralama tekniği (TOPSİS) kullanılmıştır. Borda sayım yöntemi kullanıldıktan sonra birleşik bir sıralama elde edilmiştir. Sonuçlara göre, ilk üç önemli alt kriter yoğunluk, eğilme direnci ve elastikiyet modülüdür. Buna ilaveten, tabakalanmış kaplama kereste en iyi alternatif olarak belirlenmiştir. Sonuç olarak, bu çalışma ahşap malzemelerin değerlendirilmesi için bir yol haritası sunabilir.

Keywords

BAHP, çok kriterli karar verme, EDAS, TOPSİS, yapısal kompozit kereste

References

• Ahmad, M. & Kamke, F.A. (2011). Properties of parallel strand lumber from Calcutta bamboo (Dendrocalamus strictus). Wood Science and Technology, 45(1), 63-72.
• APA. (2016). Engineered wood construction guide excerpt: structural composite lumber (SCL) selection and specification. The Engineered Wood Association, Washington.
• Arwade, S.R., Winans, R. & Clouston, P.L. (2010). Variability of the compressive strength of parallel strand lumber. Journal of Engineering Mechanics, 136(4), 405-412.
• ASTM D 1037-06a. (2006). Standard test methods for evaluating properties of wood-base fiber and particle panel materials. ASTM Standards, USA.
• ASTM D 1761. (2000). Standard methods of testing mechanical fastener in wood, staple or screw withdrawal test. ASTM Standards, USA.
• ASTM D 5456. (1996). Standard specification for evaluation of structural composite lumber products. ASTM Standards, USA.
• Azizi, M. (2008). A model of supplying poplar wood for Iranian paper & wood factories. Journal of Forestry Research, 19(4), 323-328.
• Azizi, M. & Modarres, M. (2011). A decision making model for investment and development of construction panels. Journal of Forestry Research, 22(2), 301-310.
• Azizi, M., Momeni, E. & Mohebbi, N. (2012). Providing a decision-making model for importing medium-density fiberboard product. Journal of the Indian Academy of Wood Science, 9(2), 115-129.
• Bal, B.C. (2016). Some technological properties of laminated veneer lumber produced with fast-growing poplar and eucalyptus. Maderas. Ciencia y tecnología, 18(3), 413-424.
• Bayatkashkoli, A. & Faegh, M. (2014). Evaluation of mechanical properties of laminated strand lumber and oriented strand lumber made from poplar wood (populus deltoides) and paulownia (paulownia fortunei) with urea formaldehyde adhesive containing nanoclay. International Wood Products Journal, 5(4), 192-195.
• Chang, D.-Y. (1996). Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research, 95(3), 649-655.
• Chauhan, A. & Singh, A. (2016). A hybrid multi-criteria decision making method approach for selecting a sustainable location of healthcare waste disposal facility. Journal of Cleaner Production, 139, 1001-1010.
• Çolak, S., Çolakoğlu, G. & Aydin, I. (2007). Effects of logs steaming, veneer drying and aging on the mechanical properties of laminated veneer lumber (LVL). Building and Environment, 42(1), 93-98.
• Çolak, S., İlhan, O. & Çolakoğlu, G. (2019). Effects of pressing time on some technological properties of laminated veneer lumber (LVL) produced using polythene waste as adhesive. Journal of Anatolian Environmental and Animal Sciences, 4(4), 662-665.
• Ecer, F. (2018). Third-party logistics (3Pls) provider selection via fuzzy AHP and EDAS integrated model. Technological and Economic Development of Economy, 24(2), 615-634.
• Heo, E., Kim, J. & Boo, K.J. (2010). Analysis of the assessment factors for renewable energy dissemination program evaluation using fuzzy AHP. Renewable and Sustainable Energy Reviews, 14(8), 2214-2220.
• Hwang, C.L. & Yoon, K. (1981). Multiple attribute decision making: methods and applications. Springer-Verlag, New York.
• Kahraman, C. & Kaya, İ. (2010). A fuzzy multicriteria methodology for selection among energy alternatives. Expert Systems with Applications, 37(9), 6270-6281.
• Karakuş, K., Aydemir, D., Öztel, A., Gunduz, G. & Mengeloglu, F. (2017). Nanoboron nitride-filled heat-treated wood polymer nanocomposites: comparison of different multicriteria decision-making models to predict optimum properties of the nanocomposites. Journal of Composite Materials, 51(30), 4205-4218.
• Keshavarz Ghorabaee, M., Zavadskas, E.K., Olfat, L. & Turskis, Z. (2015). Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (EDAS). Informatica, 26(3), 435-451.
• Kuzman, M.K. & Grošelj, P. (2012). Wood as a construction material: comparison of different construction types for residential building using the analytic hierarchy process. Wood Research, 57(4), 591-600.
• Laukkanen, S., Palander, T., Kangas, J. & Kangas, A. (2005). Evaluation of the multicriteria approval method for timber-harvesting group decision support. Silva Fennica, 39(2), 249-264.
• Lipušček, I., Bohanec, M., Oblak, L. & Stirn, L.Z. (2010). A multi-criteria decision-making model for classifying wood products with respect to their impact on environment. The International Journal of Life Cycle Assessment, 15(4), 359-367.
• Moses, D.M., Prion, H.G.L., Li, H. & Boehner, W. (2003). Composite behavior of laminated strand lumber. Wood Science and Technology, 37(1), 59-77.
• Özçifçi, A., Uysal, B., Sizüçen, H., Yapıcı, F., Altun, S., Kurt, Ş. & Özbay, G. (2010). A comparative study on some mechanical properties of structural composite lumbers (SCL) produced from poplar (Populus Tremula L.) papels. Technology, 13(2), 85-89.
• Özşahin, Ş., Singer, H., Temiz, A. & Yıldırım, İ. (2019). Selection of softwood species for structural and non-structural timber construction by using the analytic hierarchy process (AHP) and the multi-objective optimization on the basis of ratio analysis (MOORA). Baltic Forestry, 25(2), 281-288.
• Saaty, T.L. (1980). The analytic hierarchy process: planning, priority setting, resource allocation. McGraw-Hill, New York.
• Sarfi, F., Azizi, M. & Arian, A. (2013). A multiple criteria analysis of factors affecting markets of engineered wood products with respect to customer preferences: a case study of particleboard and MDF. Forest Science and Practice, 15(1), 61-69.
• Singer, H. & Özşahin, Ş. (2018). Employing an analytic hierarchy process to prioritize factors influencing surface roughness of wood and wood-based materials in the sawing process. Turkish Journal of Agriculture and Forestry, 42(5), 364-371.
• Singer, H. & Özşahin, Ş. (2020a). A multiple criteria analysis of factors influencing surface roughness of wood and wood-based materials in the planing process. Cerne, 26(1), 58-65.
• Singer, H. & Özşahin, Ş. (2020b). Prioritization of factors affecting surface roughness of wood and wood-based materials in CNC machining: a fuzzy analytic hierarchy process model. Wood Material Science & Engineering. Doi: 10.1080/17480272.2020.1778079.
• Sizüçen, H. (2008). Determination of some strength properties of laminated wood materials (LSL, LVL, PSL) produced from poplar strands. Master Thesis, Karabuk University, Turkey.
• Smith, R.L., Bush, R.J. & Schmoldt, D.L. (1995). A hierarchical model and analysis of factors affecting the adoption of timber as a bridge material. Wood and Fiber Science, 27(3), 225-238.
• Somsuk, N. & Laosirihongthong, T. (2014). A fuzzy AHP to prioritize enabling factors for strategic management of university business incubators: resource-based view. Technological Forecasting & Social Change, 85, 198-210.
• TS 2471. (1976). Wood, determination of moisture content for physical and mechanical tests. Turkish Standards Institution, Ankara.
• TS 2472. (1976). Wood, determination of density for physical and mechanical tests. Turkish Standards Institution, Ankara.
• TS 2477. (1976). Wood, determination of impact bending strength. Turkish Standards Institution, Ankara.
• TS 2595. (1977). Wood, determination of ultimate stress in compression parallel to grain. Turkish Standards Institution, Ankara.
• TS 642/ISO 554. (1997). Standard atmospheres for conditioning and/or testing; specifications. Turkish Standards Institution, Ankara.
• TS EN 310. (1999). Wood based panels, determination of modulus of elasticity in bending and of bending strength. Turkish Standards Institution, Ankara.
• Yazdani, N., Johnson, E. & Duwadi, S. (2004). Creep effect in structural composite lumber for bridge applications. Journal of Bridge Engineering, 9(1), 87-94.
• Zadeh, L.A. (1965). Fuzzy sets. Information and Control, 8(3), 338-353.