【作者】 卫志军； 刘铭飞； 翟钢军； 刘婷婷； 季顺迎；

【Author】 Wei Zhijun;Liu Mingfei;Zhai Gangjun;Liu Tingting;Ji Shunying;Dalian university of technology, State Key Laboratory of Coastal and Offshore Engineering;Dalian Institute of Physical Chemistry, Chinese Academy of Sciences;Dalian university of technology,Engineering mechanics;

【机构】 大连理工大学海岸和近海工程国家重点实验室； 中国科学院大连物理化学研究所； 大连理工大学；

【摘要】 超大型浮式液化天然气装备在环境荷载作用下,其内部储舱内液体易产生剧烈晃荡。由于晃荡载荷导致的结构响应对船体结构的安全尤为重要。流体砰击过程具有强非线性、随机性和不确定性的特点,因此需使用合理的统计方法分析其特性。本文通过设计并开展了一系列流体砰击弹性壁面的实验研究,分析了不同频率激励下,流体砰击荷载及其对应的结构响应的统计特性;基于砰击荷载和结构响应的统计模型,采用前馈神经网络方法,构造了相应的水弹性映射模型,并验证了该模型的可靠性。研究结果可以为超大型液舱的结构设计提供参考。更多还原

【Abstract】 Under the action of environmental load, the liquid in the internal storage tank of super large floating liquefied natural gas(LNG) equipment is easy to produce violent slamming. The structural response induced by impact load is particularly important for the safety of the structures. Liquid sloshing process is characterized by strong nonlinearity, randomness and uncertainty, so it is necessary to use reasonable statistical methods to analyze its characteristics. In this paper, a series of experimental studies on the effect of liquid on elastic walls are designed and carried out, and the statistical characteristics of the impact load and the corresponding structural response under different frequency excitation are analyzed. Based on the statistical model of impact load and structural response, the hydroelastic mapping model was constructed by using the feedforward neural network method, and the reliability of the model was verified. The research results can provide reference for the structural design of super-large tank.更多还原