A NOVEL APPROACH TO LIFE SPAN PREDICTION OF CONTAINER HOUSES VIA ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM

Abstract

Buildings are expected to be long-lived engineered works under usual conditions. In Life Cycle Assessment (LCA) of building analysis, Life Span is one of the most effective parameter. The aim of this study is to make the Life Cycle Assessment analysis of containers and to investigate the relationship between Life Span and consumed energy via Adaptive Neuro-Fuzzy Inference System (ANFIS) approach. The proposed model in the study focused on the construction phase of the containers to estimate total energy use for different life span years. Life span years are chosen between 5-100 years interval. It is found that energy and emission values are decreasing with the increase of life span years in container type houses. The results of the proposed ANFIS modeling approach shows very promising results. According to the results ANFIS approach is a viable tool for Life Span more accurate predictions in LCA studies

Keywords

• Life Cycle Assessment, Life Span, Adaptive Neuro-Fuzzy Inference System, Containers

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