基于沥青混合料疲劳性能预测的混沌神经网络模型研究

沥青混合料的疲劳性能是决定沥青路面疲劳开裂的关键因素.由于沥青混合料的疲劳性能受众多因素影响,且各因素之间存在强烈的非线形关系,故难以有效进行预测与优化.提出基于混沌神经网络模型的方法,对以疲劳性能为目标的沥青混合料进行仿真计算,结果表明,此方法高效可行,预测精度高,可为沥青混合料的试验设计提供理论参考.

Research on Chaotic Neural Network Model Based on Prediction for Fatigue Performance of Asphalt Mixtures

Fatigue performance of asphalt mixtures is a critical factor determining fatigue cracking of asphalt pavement.Since the fatigue performance of asphalt mixtures is affected by multiple factors,and strong non-linear relationship exists among all factors,it's hard to predict and optimize effectively.This paper proposes a method based on chaotic neural network model to perform simulation calculation for asphalt mixtures with fatigue performance as target.The result shows that this method is highly efficient and...