基于Perlin噪声和改进对数风廓线的随机脉冲风场建模  

Random Impulse Wind Field Modeling Based on Perlin Noise and Improved Logarithmic Wind Profile

作　　者：斯园园 杨静 蒙学昊 朱崇远 张海涛 SI Yuanyuan;YANG Jing;MENG Xuehao;ZHU Chongyuan;ZHANG Haitao(Oil Production Services Co.,CNOOC Energy Technology&Services Limited,Tianjin 300452,China)

机构地区：[1]中海油能源发展采油服务公司,天津300452

出　　处：《天津科技》2022年第3期34-38,共5页Tianjin Science & Technology

摘　　要：为减少因极端海浪和风浪引起的海事事故,提升应急响应能力,借鉴阻力模型和对数风廓线方程,避免了因空气粒子数量不足带来的额外计算量,同时考虑到要适用于大风浪场景,对数学模型进行了一定的改进。最终,提出一种基于Perlin噪声和改进对数风廓线的随机脉冲风场进行建模,分别模拟了无风条件和有风条件下海水粒子的运动状态,证明了该模型的可行性与有效性。结果表明海面高处的海水粒子受风场影响较大,容易发生波浪翻转,为基于物理模型的风浪场景建模提供理论基础。In order to reduce maritime accidents caused by extreme sea waves and wind waves and improve emergency response capabilities,the drag model and logarithmic wind profile equation were used for reference to avoid additional calculations caused by the insufficient number of air particles. At the same time,considering that it should be suitable for large wind and wave scenarios, the mathematical model has been improved to some extent. Finally,a Perlin noise and an improved method were proposed to model the random pulse wind field of the wind profile,simulate the motion state of sea water particles under windless and windy conditions,respectively,which proved the feasibility and effectiveness of the model. The results show that the sea particles at high places are greatly affected by the wind field and are prone to wave overturning, which provides a theoretical basis for wind and wave scene modeling based on physical models.

关 键 词：风浪场景 PERLIN噪声 数风廓线 随机脉冲风场 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]