[1]刘旭政,黄平明,张永健..基于模糊神经网络的大跨悬索桥安全评估研究[J].郑州大学学报(工学版),2007,28(03):48-51.[doi:10.3969/j.issn.1671-6833.2007.03.013]
　Liu Xuzheng,HUANG Pingming,Zhang Yongjian.Research on safety evaluation of long-span suspension bridge based on fuzzy neural network[J].Journal of Zhengzhou University (Engineering Science),2007,28(03):48-51.[doi:10.3969/j.issn.1671-6833.2007.03.013]
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基于模糊神经网络的大跨悬索桥安全评估研究()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
28卷
期数:
2007年03期
页码:
48-51
栏目:
出版日期:
1900-01-01

文章信息/Info

Title:
Research on safety evaluation of long-span suspension bridge based on fuzzy neural network
作者:
刘旭政; 黄平明; 张永健.
长安大学,公路学院,陕西,西安,710064, 长安大学,公路学院,陕西,西安,710064, 长安大学,公路学院,陕西,西安,710064
Author(s):
Liu Xuzheng; HUANG Pingming; Zhang Yongjian
关键词:
桥梁工程;  安全性评价;  模糊神经网络;  悬索桥;  评估指标
Keywords:
DOI:
10.3969/j.issn.1671-6833.2007.03.013
文献标志码:
A
摘要:
将模糊理论与神经网络技术结合起来,建立用于大跨度悬索桥安全性评估的模糊神经网络.确定大跨度悬索桥的7种评估指标,并通过样本学习对网络进行训练,使网络获取桥梁专家的经验知识和直觉思维.将训练好的网络用于宜昌长江大桥的安全性评估,并与《公路桥涵养护规范》的评估结果相比较.结果表明:采用模糊神经网络对大跨度悬索桥进行评估是一种客观、可行的评估方法.
Abstract:

Combining fuzzy theory with neural network technology, a fuzzy neural network for safety evaluation of long-span suspension bridges is established. Seven evaluation indicators of long-span suspension bridges were determined, and the network was trained through sample learning, so that the network could acquire the empirical knowledge and intuitive thinking of bridge experts. The trained network was used for the safety assessment of Yichang Yangtze River Bridge and compared with the evaluation results of the Code for Maintenance of Highway Bridges and Culverts. The results show that the evaluation of long-span suspension bridges by fuzzy neural network is an objective and feasible evaluation method.

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更新日期/Last Update: 1900-01-01