Evaluation of Optimal Substitute Ratio of Fly Ash Based on Adaptive Neuro-Fuzzy Inference System (ANFIS) and Sensitivity Study
| Autor: | Tae Wan Kim, Yi Han, Jong Yeon Lim, Xiao-Yong Wang |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Adaptive neuro fuzzy inference system
Materials science business.industry Mechanical Engineering 0211 other engineering and technologies 020101 civil engineering Pattern recognition 02 engineering and technology Condensed Matter Physics 0201 civil engineering Mechanics of Materials Fly ash 021105 building & construction General Materials Science Artificial intelligence Sensitivity (control systems) business |
| Zdroj: | Materials Science Forum. 1029:105-110 |
| ISSN: | 1662-9752 |
| DOI: | 10.4028/www.scientific.net/msf.1029.105 |
| Popis: | Fly ash is widely used for replacing partial cement and producing high-performance concrete. The concrete production company is interested in the optimal substitute ratio of fly ash. This study presents a general procedure for evaluating the optimal substitute ratio of fly ash. First, the compressive strength of fly ash blended concrete is evaluated based on adaptive neuro-fuzzy inference system (ANFIS). The water-to-binder ratio, fly ash replacement ratio, and ages are used as input parameters of ANFIS. Strength is the output parameter of ANFIS. Second, sensitivity analysis is performed using ANFIS. The development of relative strength of fly ash blended concrete is calculated considering water-to-binder ratio, fly ash replacement ratio, and ages. The analysis results show that the optimal replacement fly ash is dependent on water-to-binder ratio of concrete. As thewater-to-binder ratio decreases from 0.5 to 0.3, the optimal substitute ratio of fly ash increases from 15% to 30%. |
| Databáze: | OpenAIRE |
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