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Carbonation depth estimation system for concrete structures using neuro-fuzzy theory
Carbonation depth estimation system for concrete structures using neuro-fuzzy theory
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机译:利用神经模糊理论混凝土结构碳化深度估计系统
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摘要
The present invention relates to a method for estimating the carbonation depth of a concrete structure using neurofuzzy theory, and more specifically, water binder ratio, concrete compressive strength, crack width, concrete surface chloride concentration, It relates to a method for estimating carbonation depth of concrete structures using neurofuzzy theory, which enables users to quickly and accurately estimate carbonation depth by reflecting the effects of chloride ion diffusion coefficient, surface aging, and time. A preferred embodiment of the present invention is (a) purge input variables by using (a) the water binding material ratio of the concrete structure, the concrete compressive strength, the crack width, the chlorine ion concentration on the concrete surface, the chloride ion diffusion coefficient, the surface aging state, and time as input variables. reconciliation; (b) generating a fuzzy rule of all possible cases based on each input variable fuzzy in step (a); (c) calculating and normalizing the degree of membership of the fuzzy rule; (d) outputting a normalized fuzzy rule; (e) estimating the carbonation depth of the concrete structure by non-fuzzy normalized fuzzy rule;
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