Abstract

Building construction has an enormous and increasing impact on environment, and sustainable construction can lead to environmental protection. At the same time, the selection of green building materials is a critical point to realize sustainable construction. In this paper, considering the properties of building materials, a systematic method based on life cycle assessment (LCA) theory is put forward to analyze the green performance of construction materials. To a further step, back propagation neural network (BPNN) and GA-BP hybrid algorithm are introduced to evaluate green building materials respectively. Finally, a case study is conducted in order to verify that this research is helpful for the construction professionals in selecting green construction material.

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