Simulation of 3d Green Island Wakes and Kelvin Waves Using Multi-Layer Non-Hydrostatic Shallow-Water Model(I)

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Project title

Code/計畫編號

MOST109-2221-E019-043

Translated Name/計畫中文名

應用多層非靜水壓淺水模式模擬三維綠島尾流與 Kelvin 波之研究（I）

Project Coordinator/計畫主持人

Shin-Jye Liang

Funding Organization/主管機關

National Science and Technology Council

Co-Investigator(s)/共同執行人

吳南靖
周秀美

Department/Unit

Department of Marine Environmental Informatics

Website

https://www.grb.gov.tw/search/planDetail?id=13531968

Year

2020

Start date/計畫起

01-08-2020

Expected Completion/計畫迄

31-07-2012

Bugetid/研究經費

895千元

ResearchField/研究領域

土木水利工程

"先前研究中，我們已發展水深平均靜水壓淺水模式，且成功地應用於綠島尾流的研究（Huang, 2014; Hsu, et al., 2015a, b, c）。此模型現已擴展到非靜水壓淺水模式，並應用於開爾文波之模擬。本研究中，我們擬將模型擴展為多層非靜水壓淺水模式，以探討流場在垂直方向之細微變化。此模式首先會應用於3D綠島尾流，因垂直流場變化對於發電機組之維運與安全、以及底床輸沙極為重要。此外，該模式也將應用於對船舶設計、船隻航行安全與節省燃料相當重要之開爾文波。模式採不規則三角形或四邊形網格與最小平方有限元素法。3D綠島尾流模式預測可做為海洋能場址選取、緊急應變規劃、與發電機組維運設計之參考。開爾文波模式預測可提供船舶設計、船隻航行安全與節省燃料重要之參考。最後，計算結果將與解析解、其他模式結果以及現場監測做比較，並結合擴增實境（Augmented Reality, AR）技術、呈現模擬結果。預計完成之工作項目如下︰第一年（8/1/2020 - 7/31/2021） : - 建構高解析度之綠島海域地形模型與計算網格- 開發高解析度多層非靜水壓淺水模式、並應用於模擬綠島海域之波潮流- 探討多層非靜水壓淺水模式之理論、計算效能（精度與效率）、適用性- 結合擴增實境技術、呈現模擬之3D 綠島尾流第二年（08/1/2021 - 7/31/2022）: - 應用高解析度多層非靜水壓淺水模式、探討開爾文波- 探討波流和船隻間的交互作用- 結合擴增實境技術、呈現模擬之開爾文波" "A depth-averaged hydrostatic shallow-water model has been developed and successfully applied to the Green Island wakes in the previous studies (Huang, 2014; Hsu, et al., 2015a, b, c). The model has been extended to non-hydrostatic one and applied to simulate Kelvin waves recently. In this study, we would like to extend the model to multi-layer one, such that the detailed vertically varying flow structures can be investigated. The multi-layer non-hydrostatic shallow-water model will be first applied to study the 3D Green Island wakes where vertical flow variations are important to Kuroshio energy machines and bottom sediment transport. The model will also be applied to Kelvin waves simulations which is a classic wave phenomenon as well as important to ship design, navigation safety and fuel savings. The model is based on the unstructured triangle/quadrilateral elements and least-squares finite-element method. Model predictions of 3D Green Island wakes can provide guideline/reference for selection of the potential Kuroshio energy plant site, contingency plan for emergency, and planning for maintenance and operations of ocean energy system. Model predictions of Kelvin waves can provide guideline/reference for ship design, ship navigation safety, and fuel savings. Furthermore, computed results will be compared with analytic solutions, computed results of other models, and field measurements as well as visualized with the Augmented Reality (AR) technology. Tasks to be carried out include:1st year (8/1/2020 - 7/31/2021): - Construct a high resolution bathymetry model and computational meshes of the Green Island water- Develop a high resolution multi-layer non-hydrostatic shallow-water model and apply to simulate 3D Green Island wakes- Study the theory, performance (in terms of accuracy and efficiency), and applicability of the multi-layer non-hydrostatic shallow-water model- Visualize simulated 3D Green Island wakes with AR technology2nd year (8/1/2021 - 7/31/2022):- Apply a high resolution multi-layer non-hydrostatic shallow-water model to simulate Kelvin waves- Study the interactions of wave and ship- Visualize simulated Kelvin waves with AR technology"

Keyword(s)

擴增實境
最小平方有限元素法
開爾文波
多層
非靜水壓
海洋能
淺水模式
augmented reality
least-squares finite-element method
Kelvin waves
multi-layer
non-hydrostatic
ocean energy
shallow-water model

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Simulation of 3d Green Island Wakes and Kelvin Waves Using Multi-Layer Non-Hydrostatic Shallow-Water Model(I)

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