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請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/103153
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor羅弘岳zh_TW
dc.contributor.advisorHong-Yueh Loen
dc.contributor.author鄭秉周zh_TW
dc.contributor.authorPing-Chou Chengen
dc.date.accessioned2026-08-05T16:30:46Z-
dc.date.available2026-08-06-
dc.date.copyright2026-08-05-
dc.date.issued2026-
dc.date.submitted2026-07-28-
dc.identifier.citation中文文獻
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林子喻(2024). 以數值模擬分析孤立波之溯升與破碎. 碩士論文, 國立臺灣大學工程科學及海洋工程研究所, 台北.
林立剛(2021). N 型波傳遞之數值模擬與實驗驗證. 碩士論文, 國立臺灣大學工程科學及海洋工程學研究所, 台北.
林芝宇(2024). 前導下沉N 型海嘯波溯升之OpenFOAM 數值模擬. 碩士論文, 國立臺灣大學工程科學及海洋工程研究所, 台北.
柯秉辰(2023). 以NHWAVE 模擬N 型波之溯升. 碩士論文, 國立臺灣大學工程科學及海洋工程研究所, 台北.
陳玟諭(2023). 前導下沉N 型海嘯波於不同傳遞距離之溯升. 碩士論文, 國立臺灣大學工程科學及海洋工程研究所, 台北.
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/103153-
dc.description.abstract本研究結合實驗影像辨識與 OpenFOAM 數值模擬,探討前導下沉 N 型波與其相對應孤立波於 1:10 斜坡上之溯升與沖流特性。為補足傳統僅以最大溯升高度進行比較之不足,本文將最大溯升位置視為波浪可能影響範圍之指標,並進一步利用實驗影片逐幀擷取溯升前線位置,計算最大溯升前之沖流速度,以分析水體上爬過程中的動態推進特徵與潛在衝擊程度。影像處理部分,透過魚眼校正、HSV 顏色分割、反光抑制與邊界擷取等程序,自動判定溯升前線位置。後續驗證影像辨識所得之最大與最小溯升值多數落於 ±5% 容許誤差範圍內,顯示此方法具有良好可靠性。
數值模擬部分,本文以 OpenFOAM v8 搭配 olaFlow 建立二維數值水槽,並透過局部網格加密、靜水預跑與場量映射等方式改善初始條件造成之異常流速問題。修正後的數值模型可合理重現斜坡底部水位歷時與溯升前線變化,並作為後續代表案例比較之依據。最後以案例 N25 前導下沉 N 型波及其相對應孤立波作為代表案例進行比較。結果顯示,不論實驗影像辨識或數值模擬結果,相對應孤立波之最大溯升位置皆略高於案例 N25;然而案例 N25 在最大溯升前之主要上爬階段仍呈現較高之前線推進速度。顯示前導下沉 N 型波即使未必具有較高之最大溯升位置,仍可能具有較快之沖流特性。
zh_TW
dc.description.abstractThis study combines experimental image recognition and OpenFOAM numerical simulation to investigate the runup and swash characteristics of leading-depression N-waves and their corresponding solitary waves on a 1:10 slope. To supplement the limitation of conventional analyses that mainly compare the maximum runup height, this study extracts the runup front position from experimental videos frame by frame and further calculates the swash velocity to describe the dynamic characteristics of the uprush process.
For the image processing, the runup front position is automatically identified through fisheye correction, HSV color segmentation, reflection suppression, and boundary extraction. The validation results show that most of the maximum and minimum runup values obtained from image recognition fall within the allowable error range of ±5%, indicating that the proposed method has good reliability.
For the numerical simulation, a two-dimensional numerical wave flume is established using OpenFOAM v8 with olaFlow. Local mesh refinement, still-water pre-running, and field mapping are applied to reduce the abnormal velocity caused by the initial condition. After the initial-condition treatment, the numerical model can reasonably reproduce the water-level history near the slope toe and the runup-front evolution, providing the basis for the subsequent representative-case comparison.
Finally, the leading-depression N-wave N25 and its corresponding solitary wave are selected as representative cases for comparison. The results show that, in both the experimental image-recognition results and the numerical simulation results, the corresponding solitary wave reaches a slightly higher maximum runup position than N25. However, both results indicate that N25 generally has a higher runup-front velocity during the main uprush stage before maximum runup. This suggests that a leading-depression N-wave may still exhibit faster swash motion even when it does not necessarily produce a higher maximum runup position.
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dc.description.tableofcontents口試委員審定書 i
謝誌 iii
摘要 v
Abstract vii
目次 ix
圖次 xiii
表次 xvii
符號列表 xix
第一章 緒論 1
1.1 研究背景 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
1.2 相關文獻回顧 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4
1.3 研究動機與目的 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7
1.4 研究方法 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8
第二章 孤立波與海嘯 N 型波理論 11
2.1 孤立波定義 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11
2.2 孤立波理論及造波 . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11
2.3 海嘯 N 型波定義 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14
2.4 N 型波造波理論 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16
第三章 研究方法 19
3.1 實驗系統與條件 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19
3.2 實驗水槽與造波系統 . . . . . . . . . . . . . . . . . . . . . . . . . . 19
3.3 斜坡幾何條件 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21
3.4 造波條件 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21
3.5 影像與量測系統 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24
第四章 影像處理與溯升分析方法 29
4.1 影像前處理 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31
4.2 HSV 顏色分割 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33
4.3 分析區域設定、遮蔽處理、反光抑制與藍色增強 . . . . . . . . . . 34
4.4 邊界擷取與溯升前線判定 . . . . . . . . . . . . . . . . . . . . . . . . 38
4.4.1 溯升參數計算方法 . . . . . . . . . . . . . . . . . . . . . . . . . . 39
4.5 影像辨識結果之量化驗證 . . . . . . . . . . . . . . . . . . . . . . . . 42
第五章 OpenFOAM 數值模型 45
5.1 控制方程式 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45
5.2 自由液面捕捉 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46
5.3 數值海岸線定義與擷取方法 . . . . . . . . . . . . . . . . . . . . . . 48
5.4 初始條件與邊界條件 . . . . . . . . . . . . . . . . . . . . . . . . . . 48
5.4.1 一般初始條件與邊界條件 . . . . . . . . . . . . . . . . . . . . . . 49
5.4.2 初始靜水場建立與非自然初始擾動抑制 . . . . . . . . . . . . . . 50
5.4.2.1 問題緣起 . . . . . . . . . . . . . . . . . . . . . . . . 50
5.4.2.2 無斜坡長方形案例之殘差診斷 . . . . . . . . . . . . 55
5.4.2.3 無斜坡長方形靜水場直接映射方法之測試 . . . . . . 59
5.4.2.4 斜坡附近局部加密網格設計 . . . . . . . . . . . . . . 59
5.4.2.5 無造波靜水預跑與場量映射 . . . . . . . . . . . . . . 61
5.4.2.6 正式造波案例之銜接 . . . . . . . . . . . . . . . . . . 62
5.4.3 數值模型測試與調整結果整理 . . . . . . . . . . . . . . . . . . . 66
第六章 數值模型驗證 69
6.1 網格敏感性測試 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70
6.2 數值海岸線擷取之體積分率敏感性測試 . . . . . . . . . . . . . . . . 75
6.3 N 型波網格敏感性測試 . . . . . . . . . . . . . . . . . . . . . . . . . 78
6.3.1 不同代表位置附近之自由液面空間快照比較 . . . . . . . . . . . 78
6.3.2 溯升前線位置歷時比較 . . . . . . . . . . . . . . . . . . . . . . . 80
6.4 孤立波網格敏感性測試 . . . . . . . . . . . . . . . . . . . . . . . . . 81
6.4.1 不同代表位置附近之自由液面空間快照比較 . . . . . . . . . . . 81
6.4.2 溯升前線位置歷時比較 . . . . . . . . . . . . . . . . . . . . . . . 82
6.5 不同 α 判定值下之溯升值比較 . . . . . . . . . . . . . . . . . . . . . 84
6.6 N 型波不同測站水位歷時驗證 . . . . . . . . . . . . . . . . . . . . . 87
第七章 結果與討論 91
7.1 代表案例與速度分析流程 . . . . . . . . . . . . . . . . . . . . . . . . 91
7.2 斜坡底部水位歷時比較 . . . . . . . . . . . . . . . . . . . . . . . . . 95
7.3 溯升前線位置歷時比較 . . . . . . . . . . . . . . . . . . . . . . . . . 96
7.4 沖流速度比較 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99
7.5 本章小結 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102
第八章 結論及未來展望 103
8.1 結論 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103
8.2 未來展望 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105
參考文獻 107
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dc.language.isozh_TW-
dc.subject前導下沉 N 型波-
dc.subject孤立波-
dc.subject溯升-
dc.subject沖流速度-
dc.subject影像辨識-
dc.subjectOpenFOAM-
dc.subjectLeading-depression N-wave-
dc.subjectsolitary wave-
dc.subjectrunup-
dc.subjectswash velocity-
dc.subjectimage recognition-
dc.subjectOpenFOAM-
dc.titleN型海嘯波溯升與沖流之CFD模擬與影像辨識驗證zh_TW
dc.titleCFD Simulation of N-Wave Tsunami Run-up and Swash Flow with Validation by Image Recognitionen
dc.typeThesis-
dc.date.schoolyear114-2-
dc.description.degree碩士-
dc.contributor.oralexamcommittee戴璽恆;吳昀達;蔡育霖;徐天健zh_TW
dc.contributor.oralexamcommitteeHsi-Heng Dai;Yun-Ta Wu;Yu-Lin Tsai;Tian-Jian Hsuen
dc.subject.keyword前導下沉 N 型波; 孤立波; 溯升; 沖流速度; 影像辨識; OpenFOAMzh_TW
dc.subject.keywordLeading-depression N-wave; solitary wave; runup; swash velocity; image recognition; OpenFOAMen
dc.relation.page111-
dc.identifier.doi10.6342/NTU202602473-
dc.rights.note同意授權(全球公開)-
dc.date.accepted2026-07-29-
dc.contributor.author-college工學院-
dc.contributor.author-dept工程科學及海洋工程學系-
dc.date.embargo-lift2026-08-06-
顯示於系所單位:工程科學及海洋工程學系

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