利用人工神经网络从较低龄期的数据预测混凝土力学行为

J.C. Cassa, G. Floridia, A. R. Souza, R. Oliveira
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引用次数: 5

摘要

混凝土复杂的力学性能很难用传统的数学工具来建模。本文通过1/ 2天和7/ 2天的试验结果,说明了如何利用人工神经网络预测混凝土在28/ 2天的机械强度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prediction of concrete mechanical behaviour from data at lower ages using artificial neural networks
The complex mechanical behaviour of concrete is hard to model with traditional mathematical tools. The paper shows how artificial neural networks can be used to predict concrete mechanical strength at the 28/sup th/ day by using experimental results from the 1/sup st/ and 7/sup th/ days.
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