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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
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dc.contributor.advisor | 郭真祥 | |
dc.contributor.author | Yu-Yin Liu | en |
dc.contributor.author | 劉育吟 | zh_TW |
dc.date.accessioned | 2021-05-15T17:55:34Z | - |
dc.date.available | 2016-07-15 | |
dc.date.available | 2021-05-15T17:55:34Z | - |
dc.date.copyright | 2014-07-15 | |
dc.date.issued | 2014 | |
dc.date.submitted | 2014-07-10 | |
dc.identifier.citation | 1. IMO, 'International Convention for the Safety of Life at Sea,' (2004).
2. Wikipedia, 'MS Estonia,' http://en.wikipedia.org/wiki/MS_Estonia (2014). 3. Wikipedia, 'MS al-Salam Boccaccio 98,' http://en.wikipedia.org/wiki/MS_al- Salam_Boccaccio_98 (2014). 4. Wikipedia, '世越號沉沒事故,' http://zh.wikipedia.org/wiki/%E4%B8%96%E8%B6%8A%E5%8F%B7 (2014). 5. '世越號客輪沉沒事故確認 187 人遇難 115 人失蹤,' http://big5.china.com.cn/v/news/2014-04/27/content_32219304.htm. 6. '捨身救人 南韓「世越號 」三船員獲追封烈士,' http://tinyurl.com/lkr7dn3. 7. Dongkon Lee, Jin-Hyung Park, and Hongtae Kim, 'A study on experiment of human behavior for evacuation simulation,' Ocean Engineering 31 (2003). 8. 劉 謙, 朱經武, and 林昭輝, '客船撤離分析指南應用之研究—以育英二號訓 練船為例,' 航運季刊第二十卷第二期, 1-20 (2011). 9. Rolf Skjong Erik Vanem, 'Designing for Safety in Passenger Ships Utilizing Advanced Evacuation Analyses - A Risk Based Approach, ' (2005). 10. Sol Ha, Nam-Kug Ku, Myung-Il Roh, and Kyu-Yeul Lee, 'Cell-based Evacuation Simulation Considering Human Behavior in a Passenger Ship,' (2012). 11. Kurt Mehlhorn and Peter Sanders, 'Dijkstra's Algorithm, ' in Algorithms and Data Structures: The Basic Toolbox (2008), pp. 196-199. 12. 陳致仁 and 陳政宏, '大型客艙乘客疏散特性之模擬研究, ' 中國造船暨輪機 工程學刊 (2013). 13. 林忠孝, '高速客船人員安全疏散分析,' 中國造船暨輪機工程學刊 (2013). 14. Victor Adamchik, 'Graph Theory,' (2005). 15. Bin Xiong and Zhongyi Zheng, 'Seven Bridge's Problem, ' in Graph Theory (2010), pp. 51-54. 16. Thomas H Cormen, 'Breadth First Search, ' in Introduction To Algorithms (2003), pp. 531-539. 17. Thomas H Cormen, 'Depth First Search, ' in Introduction To Algorithms (2003), pp. 540-548. 86 18. IMO, 'Guidelines for a simplified evaluation analysis of high-speed passenger craft, ' in MSC/Circ.1166 (2005). 19. IMO, 'Guidelines For Evacuation Analysis For New And Existing Passenger Ships, ' in MSC.1/Circ.1238 (2007). 20. '主垂直防火區及水平防火區,' http://www.legislation.gov.hk/blis_ind.nsf/6033a8cc1f220686482564840019d2f 2/99f0bcd435ff9d264825656a000eded1?OpenDocument (1997). 21. TraffGo HT GmbH, 'AENEAS User Manual,' (2013). 22. TraffGo HT GmbH, 'The Effect of Ship Motion on Pedestrain Motion,' (2005). 23. Thomas H Cormen, 'Greedy Algorithm, ' in Introduction To Algorithms (2003), pp. 370-399. 24. Sol Ha Myung-Il Roh, 'Advanced ship evacuation analysis using a cell-based simulation model,' (2013). 25. A. B. Biran, 'Ship Hydrostatics and Stability,' pp. 135 (2003). 26. 汪群從 and 丁錫鏞, '船用流體力學,' (1980). | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/5307 | - |
dc.description.abstract | 海上人命安全一直以來為眾人所重視的議題,IMO 訂定客船逃生疏散分析的 相關規範,使客船在設計階段必須執行模擬分析逃生路徑及人員撤離安全性。由 於海上交通除了運輸貨物之外,近年來海上觀光諸如大型郵輪再度興起,因此在 緊急狀況下乘客如何更有效率地安全逃生便是設計上的一大考量。
本文利用逃生模擬軟體 AENEAS 進行客船之人員逃生模擬及分析,由於參考 船不同出口有不一樣的人數限制,因此在規劃逃生路徑指派艙間至目標出口時, 以其路徑勢能做為評分的依據,並使用貪婪演算法進行運算,分配不同艙間乘客 的逃生出口及路徑,首先以限制出口人數方式分派艙間至適合出口,接著考慮人 員的群體互動行為也運用對應出口位置設計之對稱性,運用防止交錯行為的方式 分配艙間至出口進行模擬。在分析逃生時間方面,首先考慮在靜水情況之下的模 擬, 再進行船體規則運動下的逃生模擬,以觀察在環境條件較嚴苛的情況。模擬 時的假設條件均依照國際海事組織所訂定的「新建造與現成客船疏散分析指導方 針」。模擬結果顯示,目前的路徑規劃所需要的逃生時間符合疏散分析指導方針 所訂定的規範,雖然週期性運動比靜水狀況下需要更長的逃生時間,不過也在安 全範圍之內,而貪婪演算法的分配出口方法之中,限制出口人數方式比較適用於 局部艙間逃生的特殊情況,防止交錯行為的分配出口方法比較適用於整體艙間的 逃生情況。 後續研究進行的方向可考慮船舶破損狀況下的逃生模擬,由於船身的傾斜程 度隨時間變化越趨不利於乘客逃生,以此為逃生時間限制或許比疏散分析指南更 為嚴苛,將能更貼近船難發生的情況。另外將路徑規劃之演算法加以改良,以達 到出口使用率平衡分配,降低出口前的擁塞情形,以縮短逃生時間,亦是值得繼 續探究的課題。 | zh_TW |
dc.description.abstract | Safety of life at Sea has been emphasized for a long while. Since International Maritime Organization published regulation referring to evacuation analysis for passenger ship, it is essential to implement simulation about egress route distribution and safety of passengers. Although ships are for carrying goods mainly, maritime tourism has sprung up recently such as luxury cruises, as the result, it becomes more and more important to arrange egress route distribution that leads to efficient evacuation for passengers under emergency conditions.
AENEAS was used for the following simulation about evacuation and analysis for passenger ship. Due to the limit of each exit, it is essential to assign specific rooms to appropriate exit. In this case, potential is the key to determine the exit which each room prefer to go, furthermore, Greedy Algorithm is applied to reach the result. The other way to assign exit is taking account of conflict of agents. After assigning rooms to each exit and distributing egress routes among all cabins, simulation was implemented under static condition. Afterwards, simulation under periodical ship motion was implemented to observe what happens when the environment became more dangerous for passengers. The assumption and environmental parameters all correspond to “Guidelines for Evacuation Analysis for New and Existing Passenger Ships”. It seemed that the result of simulation comply with the guideline mentioned which means that the current egress route distribution and total travel time are literally proper. Although the condition with periodical ship motion takes more travel time than static condition, it still comply with the guideline. And the results show that restricted capacity for exits of Greedy Algorithm is more suitable to evacuation simulation of partial area, on the other hand, assign exit by considering conflict of agents is more proper to simulation of all passenger decks. In the future, ship damage condition could be considered for further evacuation simulation. When ship is tilting, as freeboard immersed and water flowing into cabins, the general environment becomes more harmful for passengers. In this way the evacuation time should be less and condition becomes more dangerous than the guidelines published by IMO, it will reflect the reality of shipwrecks. | en |
dc.description.provenance | Made available in DSpace on 2021-05-15T17:55:34Z (GMT). No. of bitstreams: 1 ntu-103-R01525005-1.pdf: 7410946 bytes, checksum: 9b400e4642cdd61f6316f6705353152c (MD5) Previous issue date: 2014 | en |
dc.description.tableofcontents | 誌謝 i
中文摘要 ii ABSTRACT iii 目錄 iv 圖目錄 vi 表目錄 viii Chapter 1 緒論 1 1.1 研究背景與動機 1 1.1.1 國際規範沿革 1 1.1.2 重大損傷船難事件 2 1.1.3 逃生模擬之必要性 4 1.2 文獻回顧 5 1.2.1 船上演習實驗結果 5 1.2.2 人員行為及環境相關參數 6 1.2.3 其他逃生模擬結果 7 1.2.4 圖論及最短路徑搜尋方法 8 1.3 研究目的與方法 13 1.3.1 研究目的 13 1.3.2 論文架構 13 Chapter 2 法規及參考船相關資料 14 2.1 國際法規 14 2.1.1 總疏散時間規定 15 2.1.2 人員參數 16 2.2 參考船型 18 2.2.1 船型基本資料 18 2.2.2 參考船之一般配置 19 2.2.3 國際法規之規範 23 Chapter 3 軟體應用及分配出口之方法 24 3.1 逃生模擬分析軟體 25 3.1.1 AENEAS逃生模擬設定步驟 25 3.1.2 幾何前置處理 26 3.1.3 路徑勢能(Potential) 30 3.1.4 人員參數及行進方向 37 3.1.5 地面傾斜下對行走速度的影響 39 3.2 出口分配 43 3.2.1 貪婪演算法 43 3.2.2 計算出口至艙間之路徑勢能 45 3.2.3 分配出口-限制出口人數 56 3.2.4 分配出口-防止交錯行為 59 Chapter 4 結果分析 62 4.1 靜水狀況之下的模擬 63 4.1.1 整體艙間之逃生模擬 63 4.1.2 局部艙間之逃生模擬 67 4.2 週期性橫搖與縱搖運動狀況的模擬 72 4.2.1 週期性運動參數設定 72 4.2.2 船體運動週期 72 4.2.3 整體艙間之逃生模擬 73 4.2.4 局部艙間之逃生模擬 81 Chapter 5 結論與未來展望 84 5.1 結論 84 5.2 未來展望 85 參考資料 86 | |
dc.language.iso | zh-TW | |
dc.title | 客船在週期性運動狀況下的逃生出口規劃及模擬 | zh_TW |
dc.title | Evacuation Simulation and Exit Assigning for Passenger Ship under Periodical Ship Motion | en |
dc.type | Thesis | |
dc.date.schoolyear | 102-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 邱逢琛,陳政宏,張博超 | |
dc.subject.keyword | 逃生模擬,路徑規劃,客船, | zh_TW |
dc.subject.keyword | Evacuation,Passenger ship,AENEAS, | en |
dc.relation.page | 87 | |
dc.rights.note | 同意授權(全球公開) | |
dc.date.accepted | 2014-07-10 | |
dc.contributor.author-college | 工學院 | zh_TW |
dc.contributor.author-dept | 工程科學及海洋工程學研究所 | zh_TW |
顯示於系所單位: | 工程科學及海洋工程學系 |
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