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用模糊神经网络方法预测单层钢筋混凝土柱厂房震害

Forecast of Seismic Damage in Single-storey Factory Building with Reinforced Concrete Pillar by Fuzzy Neural Network Method
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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.
作者 马令勇 姜伟
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
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