Natural Fibers Concrete Model Using Points Launching Algorithm in Thermal Conductivity Prediction

Abstract

The current work presenting a 3D model in new technique fibers distribution of concrete composite for thermal conductivity prediction. In order to understand thermal interaction of the wall for an insulating system, the model provides four level range of fibers number (100, 150, 200 and 250 fibers number) to analyze fiber network existing. The fibers constructed by points neighbor attach from randomly launching order to perform such spline. MATLAB software was reliable to generate fibers structure algorithm before export to computer-aided design file. The natural fibers of oil palm, coconut and sugar cane were simulated using finite element method to study characteristic and nature behavior for insulating material. Representative volume element and grid independence study was analysis for validation model. The simulation demonstrated that improvement in insulating material around 0.65% by using 250 coconut fibers number which lower compare to plain concrete even to oil palm and coconut fiber.