摘要
线型优化是船舶总体性能设计的重要内容,借助CFD软件开展船舶线型优化需要进行三维建模和复杂的网格划分,时效性有限。本文提出一种基于高精度近似模型的线型优化法,在CFD计算结果的基础上,通过构建神经网络近似模型,对线型优化结果进行预报。该方法不仅能够实现线型优化结果的快速预报,而且可以解决CFD离散优化随机性的难题,大大提高线型优化的效率。
Hull line optimization was an important part of general design for naval architecture. The common way of hull line optimization by CFD was limited by model construction and mesh building which greatly delayed the optimization. A model contains CFD and neural network was set up to forecast the result of hull line optimization,which made the prediction faster and better.
出处
《舰船科学技术》
北大核心
2015年第6期92-94,108,共4页
Ship Science and Technology
关键词
线型优化
CFD
近似模型
hull line optimization
CFD
approximate model
