Life Cycle Assessment of Concrete Using Adaptive Neuro-Fuzzy Inference Systems
نویسندگان
چکیده
The aim of this work is to investigate how ANFIS modelling of the chloride permeability of concrete can contribute to the sustainable development. Therefore, to have an opinion about service lives of concrete structures, especially the reinforced ones. Thus, some mixture properties and the rapid chloride permeability test results of different types of concretes obtained from a previous study are used for constructing and developing an ANFIS model. Besides, a linguistic life cycle approach is proposed depending on ASTM C 1202. The performance of model and the linguistic life cycle assessment approach may make it possible to discuss the service live of structures. Additionally, it is available to gain economical and environmental advantages for sustainable development by predicting the chloride permeability of concrete and comparing them with ASTM C 1202 considerations.
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