摘要
在进行舰船设备系统抗冲击设计及优化分析中,必须要确定舰船设备的抗冲击能力值,而影响设备冲击响应的多种随机因素使设备抗冲击能力具有随机性。提出了考虑各种随机因素影响的设备抗冲击能力可靠性的定义和分析方法,结合神经网络建立了设备冲击响应预测模型,在数值冲击试验基础上,结合Monte Carlo法分析了典型舰船设备抗冲击能力的统计特征。分析方法和结果可为今后舰船设备及系统的抗冲击性能分析、舰船系统抗冲击性能评估提供参考。
The shock resistance ability of marine equipments should be determined during design and optimization phases of ship systems. Considering various stochastic factors affecting shock response of equipments, their shock resistance ability is of randomness. Here, the analysis method to obtain shock resistance ability was studied based on reliability theory. The shock response prediction model of equipments was established with a neural network algorithm. Taking a typical marine equipment as a studying object, the statistical characteristics of its shock resistance ability were analyzed utilizing Monte-Carlo Method. The proposed analysis method and the results could be a reference for ship system shock resistance design and assessment.
出处
《振动与冲击》
EI
CSCD
北大核心
2013年第1期140-144,共5页
Journal of Vibration and Shock
基金
中国博士后科学基金(20100481494)
关键词
舰船设备
抗冲击能力
可靠性
shipboard equipment
shock resistance ability
reliability
