摘要
对单层钢筋混凝土柱厂房抗震性能进行了数值试验,提出了基于二次综合评判的模糊神经网络预测方法,并以试验资料进行训练和预测。结果表明,该方法对单层钢筋混凝土柱厂房抗震性能预测效果较好,适宜于该类结构方案选择时应用。
A numerical experiment of the seismic performance of single-storey factory building with reinforced concrete pillar was conducted. And a prediction method was put forward on the basis of the fuzzy neural network of secondary integrated evaluation. Then the method was trained and predicted by testing the materials. Result shows that this method is effective in the prediction of seismic property for single-storey factory building with reinforced concrete pillar, and is suitable for the scheme selection of this kind of structure.
出处
《东北林业大学学报》
CAS
CSCD
北大核心
2008年第12期91-92,共2页
Journal of Northeast Forestry University
基金
黑龙江省教育厅科学技术研究项目(11513015)
关键词
单层厂房
钢筋混凝土柱
震害预测
模糊神经网络
Single-storey factory buildings
Reinforced concrete pillars
Seismic prediction
Fuzzy neural network