부산대학교 도서관

In this study saw wastes of wood, rattan and bamboo were used in mortar as a partial replacement of fine aggregate at different proportion. The variation of strength with time, density and water absorption, modulus of elasticity, and poisons ratio were identified. The test result was verified with the standard of mortar strength. Comparing to sand, being lighter in weight the above mentioned saw wastes decreased the weight of mortar. It can be considered as a new possibility of producing lightweight mortar as a building material. The test values were checked/verified using Artificial Neural Network (ANN). Also multivariable equations were generated to predict the strength of mortar. Finally it was seen that prediction using ANN has closer position with the test result instead of the equations.