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Open AccessArticle

Durability Assessment of PVA Fiber-Reinforced Cementitious Composite Containing Nano-SiO2 Using Adaptive Neuro-Fuzzy Inference System

1
School of Water Conservancy Engineering, Zhengzhou University, Zhengzhou 450001, China
2
College of Civil Engineering, Chongqing University, Chongqing 400045, China
3
Department of Civil, Construction and Environmental Engineering, Iowa State University, Ames, IA 50011, USA
*
Author to whom correspondence should be addressed.
Crystals 2020, 10(5), 347; https://doi.org/10.3390/cryst10050347
Received: 15 April 2020 / Revised: 25 April 2020 / Accepted: 27 April 2020 / Published: 28 April 2020
(This article belongs to the Special Issue Numerical Study of Concrete)
In this study, the durability of polyvinyl alcohol fiber-reinforced cementitious composite containing nano-SiO2 was evaluated using the adaptive neuro-fuzzy inference system (ANFIS). According to the structural characteristics of the cementitious composite material and some related standards, the classification criteria for the evaluation indices of cementitious composite materials were clarified, and a corresponding structural framework of durability assessment was constructed. Based on the hypothesis testing principle, the required test data capacity was determined under a certain degree of accuracy, and durability experimental data and expert evaluation results were simulated according to statistical principles to ensure that there were sufficient datasets for ANFIS training. Using an environmental factor submodule as an example, 14 sets of actual test data were used to verify that the ANFIS can quickly and effectively mimic the expert evaluation reasoning process to evaluate the durability of cementitious composites. Compared with other studies related to the durability of cementitious composites, a systematic evaluation system for the durability of concrete was established. We used a polyvinyl alcohol fiber-reinforced cementitious composite containing nano-SiO2 to conduct a comprehensive evaluation of cementitious composites. Compared with the traditional expert evaluation method, the durability evaluation system based on the ANFIS learned expert experience, stored the expert experience in fuzzy rules, and eliminated the subjectivity of expert evaluation, thereby making the evaluation more objective and scientific. View Full-Text
Keywords: cementitious composite; nano-SiO2; PVA fiber; durability evaluation; adaptive neuro-fuzzy inference system cementitious composite; nano-SiO2; PVA fiber; durability evaluation; adaptive neuro-fuzzy inference system
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Liu, T.-Y.; Zhang, P.; Li, Q.-F.; Hu, S.-W.; Ling, Y.-F. Durability Assessment of PVA Fiber-Reinforced Cementitious Composite Containing Nano-SiO2 Using Adaptive Neuro-Fuzzy Inference System. Crystals 2020, 10, 347.

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