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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40232

Title: Modeling slump flow of high-performance concrete using a back-propagation network
Authors: Tai-Sheng Wang
Wen-Huan Chien
Li Chen
Chih-Chiang Wei
Hsun-Hsin Hsu
Contributors: 國立臺灣海洋大學:海洋環境資訊學系
Keywords: Slump Flow
High-Performance Concrete (HPC)
Back-Propagated Network (BPN)
Date: 2010-01
Issue Date: 2017-01-16T06:58:25Z
Publisher: Applied Mechanics and Materials
Abstract: Abstract: This paper proposes a back-propagated network (BPN) and applies it to estimate the slump flow of high-performance concrete (HPC). HPC is a highly complex material whose behavior is difficult to model, especially slump flow. Slump flow estimation is a function of the content of all concrete ingredients, including cement, fly ash, blast furnace slag, water, superplasticizer, and coarse and fine aggregate. BPN is a well-known method, used to automatically discover the complex relationships among nonlinear systems. The results show that BPN predicts the slump flow of HPC with satisfyied estimating errors.
Relation: 20-23
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40232
Appears in Collections:[海洋環境資訊系] 期刊論文

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