【作者】 颜祥程； 许金余； 郑飞；

【Author】 Yan Xiangcheng;Xu Jinyu;Zheng Fei;

【机构】 空军工程大学工程学院； 西北工业大学力学与建筑工程学院；

【摘要】 随着人防工程建设规模的扩大与发展,对人防工程结构的损伤诊断及其安全性评价已成为亟待解决的重要问题。本文提出了一种基于模态振型与神经网络相结合的人防工程结构损伤诊断方法,构造了以模态振型变化率为输入的BP神经网络。以某人防工程结构为算例,计算分析表明利用模态振型与神经网络相结合的方法能够准确地诊断出人防工程结构的损伤位置和损伤程度,能方便、有效地解决地下人防工程结构的损伤诊断问题。更多还原

【Abstract】 As the construction scale of civil air defense engineering expanded and developed,it is in urgent need of solving the important problems of damage diagnosis and safety evaluation on the civil air defense engineering.A new method based on modal paxameters and Neural Network to detect the damage of the civil air defense engineering is proposed in the article,with the sum of the variation rate of the former three mode’ absolute value as the Neural Network’s input.Using a civil air defense engineering as an example,it is shown that the method can not only localize correctly the damage,but also the magnitude of the damage,so to detect the damage of civil air defense engineering is conveniently and effectively solved.更多还原