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Abstract
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This study addresses the challenge of selecting optimal coating materials for bamboo reinforcement in concrete. Raw bamboo presents certain challenges when used as reinforcement material, including high water absorption and weak bond to concrete, which can be mitigated by suitable chemical coatings. To evaluate potential coatings, an entropy-based fuzzy TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) model was developed. Data from existing literature supported the selection of 13 coating materials, evaluated across four criteria: concrete compressive strength, bamboo tensile strength, embedded length, and pullout load. The entropy method was used to assign weights to these criteria, while fuzzy-TOPSIS facilitated the ranking of the materials by managing uncertainties and subjective preferences. The results indicate that Sikadur-752, an epoxy resin-based material, ranked highest with a relative closeness of 0.6348, demonstrating its superior performance. Sensitivity analysis confirmed the robustness of the model across varied weight scenarios. The proposed model advances coating material selection for bamboo reinforcement, offering a versatile framework for future research. The findings contribute to sustainable construction practices by enhancing the structural performance and longevity of bamboo-reinforced concrete structures.
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