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.

Highlights

  • The building sector accounts for a third or more of worldwide daily energy consumption [1]

  • Representative Volume Element (RVE) Thermal conductivity was studied in material investigating scale with various sizes of 20 mm, 30 mm, 40 mm and 50 mm of side sizes

  • A fiber concrete composite model has been successfully developed in this study. to study thermal conductivity and the characteristics of composite of fiber concrete

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Summary

Introduction

The building sector accounts for a third or more of worldwide daily energy consumption [1]. The rising population growth and urbanization is a major reason that results in the development of more buildings and residences. Buildings utilize metabolized matter and energy, about 25-40% of society’s energy consumption [2], to produce waste and emissions. These account for about 30% of greenhouse gas emissions [3]. Previous studies have revealed that the heat losses in building occur through the external wall and its envelope has a major share in waste of energy. In order to save energy, it is considered paramount to use optimum insulation thickness in buildings [4]

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