Modeling slump flow of concrete using second-order regressions and artificial neural networks

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Please use this identifier to cite or link to this item: http://chur.chu.edu.tw/handle/987654321/32220

Title:	Modeling slump flow of concrete using second-order regressions and artificial neural networks
Authors:	葉怡成 Yeh, I-Cheng
Contributors:	資訊管理學系 Information Management
Keywords:	concrete;workability;modeling;artificial;network;regression
Date:	2007
Issue Date:	2014-06-27 01:47:40 (UTC+8)
Abstract:	High-performance concrete (HPC) is a highly complex material, which makes modeling its behavior a very difficult task. Several studies have independently shown that the slump flow of HPC is not only determined by the water content and maximum size of co
Appears in Collections:	[Department of Information Management] Journal Articles

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