摘要
文中对各种基桩检测方法的适用性、优劣及其现存问题进行了归纳总结。重点评述了近10年来发展潜力巨大的神经网络、遗传算法、小波分析等方法在基桩承载力预测及损伤识别中的应用,认为通过将小波分析与神经网络结合及遗传算法与神经网络结合的方法建立基桩智能测试专家系统,可能是将来最为行之有效的基桩检测手段。
In this paper,various methods of pile testing were summarized by their adaptability,advantages,disadvantages and existing problems,and the application of neural networks,genetic algorithm and wavelet analysis in pile capacity prediction and pile damage identification,which displayed tremendous potential in the past 10 years,was mainly reviewed.Based on the analysis of plenty of reference materials,the expert system of intelligent testing established by combining wavelet analysis with neural networks and genetic algorithms with neural network was thought to be the most effective means of pile test in the future.
出处
《低温建筑技术》
2011年第3期94-96,共3页
Low Temperature Architecture Technology
关键词
基桩检测
神经网络
小波分析
遗传算法
pile test
neural networks
wavelet analysis
genetic algorith
