评价RANS和LES湍流模型在破碎波混合波模拟中的应用

IF 2.8 2区 生物学 Q1 MARINE & FRESHWATER BIOLOGY
Chengzhao Zhang, Eugeny Buldakov
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引用次数: 0

摘要

了解深海和中间水域破碎波的特征对海气相互作用至关重要。模拟这些相互作用的最新进展通常依赖于使用斯托克斯波的数值波槽,这可能不能完全代表现实世界的条件。为了解决这一差距,我们开发了一个数值波浪槽,以研究不同湍流模型对数值波浪模型在更现实的波浪条件下模拟破碎波的性能的影响。基于OpenFOAM开发了拉格朗日波模型与VOF模型相结合的混合模型,用于模拟由色散聚焦引起的破碎波群,其频谱与模拟的海况相关。通过不含湍流模型的混合波模型得到的数值结果与实验数据进行了验证,表明了较高的精度。然后,将RANS标准k−ε、RNG k−ε、LES Smagorinsky和LES k方程湍流模型四种湍流模型应用于具有峰聚焦宽带高斯(GW)谱的混合波模型。研究了湍流模型对破碎波峰预测、破碎能量耗散和破碎强度参数b估计的影响。结果表明,湍流模型对弱断裂情况下的数值结果有显著影响。值得注意的是,混合波动模型与LES k方程湍流模型表现出更好的性能。本文提出的数值波浪槽可以作为一种很有前途的工具,用于在更现实的波浪条件下进行三维模拟研究海气相互作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluating RANS and LES turbulence models in hybrid wave modelling of breaking waves
Understanding the characteristics of breaking waves in deep and intermediate waters is crucial for air-sea interactions. Recent advancements in modelling these interactions have often relied on numerical wave tanks using Stokes waves, which may not fully represent real-world conditions. To address this gap, we developed a numerical wave tank to investigate the effects of different turbulence models on the performance of our numerical wave model in simulating breaking waves under more realistic wave conditions. A hybrid model that couples a Lagrangian wave model with a VOF model based on OpenFOAM is developed to simulate breaking wave groups resulting from dispersive focussing, with a spectrum related to a modelled sea state. The numerical results obtained through the hybrid wave model without turbulence models are validated against experimental data, demonstrating a high level of accuracy. Then, four turbulence models including RANS standard kϵ, RNG kϵ models, LES Smagorinsky and LES k-equation turbulence models are applied to the hybrid wave model with peak-focussed wide band Gaussian (GW) spectrum. The effects of turbulence models on the prediction of breaking crests, the energy dissipation due to breakers and the estimation of the breaking strength parameter b are investigated. The findings demonstrate that the turbulence models can significantly affect the numerical results for weak breaking cases. Notably, the hybrid wave model with the LES k-equation turbulence model showed superior performance. This proposed numerical wave tank can be a promising tool for investigating air-sea interactions in 3D simulations under more realistic wave conditions.
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来源期刊
Frontiers in Marine Science
Frontiers in Marine Science Agricultural and Biological Sciences-Aquatic Science
CiteScore
5.10
自引率
16.20%
发文量
2443
审稿时长
14 weeks
期刊介绍: Frontiers in Marine Science publishes rigorously peer-reviewed research that advances our understanding of all aspects of the environment, biology, ecosystem functioning and human interactions with the oceans. Field Chief Editor Carlos M. Duarte at King Abdullah University of Science and Technology Thuwal is supported by an outstanding Editorial Board of international researchers. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, policy makers and the public worldwide. With the human population predicted to reach 9 billion people by 2050, it is clear that traditional land resources will not suffice to meet the demand for food or energy, required to support high-quality livelihoods. As a result, the oceans are emerging as a source of untapped assets, with new innovative industries, such as aquaculture, marine biotechnology, marine energy and deep-sea mining growing rapidly under a new era characterized by rapid growth of a blue, ocean-based economy. The sustainability of the blue economy is closely dependent on our knowledge about how to mitigate the impacts of the multiple pressures on the ocean ecosystem associated with the increased scale and diversification of industry operations in the ocean and global human pressures on the environment. Therefore, Frontiers in Marine Science particularly welcomes the communication of research outcomes addressing ocean-based solutions for the emerging challenges, including improved forecasting and observational capacities, understanding biodiversity and ecosystem problems, locally and globally, effective management strategies to maintain ocean health, and an improved capacity to sustainably derive resources from the oceans.
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