集裝箱船舶配載及其失事應(yīng)急研究
本文關(guān)鍵詞: 集裝箱船舶 主貝計(jì)劃 SWO算法 失事應(yīng)急 出處:《武漢理工大學(xué)》2015年碩士論文 論文類型:學(xué)位論文
【摘要】:集裝箱船舶運(yùn)輸是國(guó)民經(jīng)濟(jì)中的重要部分,港口設(shè)施設(shè)備的大型化、港池的深水化與船舶的大型化是同步進(jìn)行的。在運(yùn)輸大宗貨物時(shí),如何提高其營(yíng)運(yùn)效率、縮短在港停留時(shí)間、增加經(jīng)濟(jì)效益、實(shí)現(xiàn)港口與船舶的雙贏是一個(gè)值得研究的熱點(diǎn),而提高集裝箱船舶營(yíng)運(yùn)效率的關(guān)鍵問(wèn)題之一就是合理地配積載。另一方面,載貨船水上事故屢見不鮮,造成了一定的人員和財(cái)產(chǎn)損失,相關(guān)的科學(xué)理論和應(yīng)急決策已引起了廣泛研究。因此,本文旨在研究集裝箱船舶配載問(wèn)題,并進(jìn)一步探索配載后如何開展失事情況下的應(yīng)急救援。論文的主要研究工作如下:(1)首先建立了主貝計(jì)劃數(shù)學(xué)模型,以最小化倒箱量為目標(biāo)函數(shù),以縱橫傾裕量及其他基本條件為約束。隨后提出了一種基于裝箱算法的啟發(fā)式策略對(duì)船舶的貝位進(jìn)行分解,以降低模型的求解復(fù)雜度,并得到實(shí)際可行解。同時(shí)該策略提高了裝卸效率和船舶貝位利用率。然后采用SWO(Squeak Wheel Optimization)算法對(duì)主貝計(jì)劃的配載結(jié)果進(jìn)行優(yōu)化,以獲得最優(yōu)的縱傾條件,提高船舶適航性。(2)以配載完成的集裝箱船為基本研究對(duì)象,分析了船舶水上事故的類型、相應(yīng)的應(yīng)急措施,進(jìn)而提出了事故應(yīng)急系統(tǒng)框架。在分析集裝箱船舶結(jié)構(gòu)特性的基礎(chǔ)上,構(gòu)建了穩(wěn)性評(píng)價(jià)準(zhǔn)則,并提出了其失事條件下的壓載水應(yīng)急仿真流程。(3)通過(guò)實(shí)際生產(chǎn)案例,對(duì)提出的貝位分解策略和SWO優(yōu)化方法進(jìn)行了數(shù)據(jù)分析,配載結(jié)果和優(yōu)化方案表明了該策略和優(yōu)化方法的有效性,實(shí)現(xiàn)了預(yù)期的目標(biāo)。以該配載結(jié)果為基礎(chǔ),在AnyLogic平臺(tái)上構(gòu)建了集裝箱船舶的仿真模型,對(duì)兩個(gè)不同的數(shù)據(jù)案例進(jìn)行了仿真分析。最后,通過(guò)定義動(dòng)態(tài)事件和仿真交互界面的設(shè)置,模擬了壓載水調(diào)整策略實(shí)現(xiàn)的應(yīng)急流程。
[Abstract]:Container shipping is an important part of the national economy, the port facilities equipment is large-scale, the deepwater port pool and the ship's large-scale is synchronized. How to improve its operational efficiency when transporting bulk cargo. Shortening the time of staying in Hong Kong, increasing economic benefits and realizing the win-win situation between port and ship is a hot topic worth studying. One of the key problems to improve the efficiency of container ship operation is to distribute stowage reasonably. Waterborne accidents on cargo ships are common, resulting in a certain number of personnel and property losses, related scientific theory and emergency decisions have caused extensive research. Therefore, the purpose of this paper is to study the container ship stowage problem. And further explore how to carry out emergency rescue after stowage. The main research work in this paper is as follows: 1) first of all, the mathematical model of master shell plan is established, and the objective function is to minimize the volume of backbox. Taking the trim margin and other basic conditions as constraints, a heuristic strategy based on packing algorithm is proposed to decompose the ship's shell position in order to reduce the complexity of solving the model. At the same time, the strategy improves the efficiency of loading and unloading and the utilization ratio of ship's shell position. Then, the SWO(Squeak Wheel optimization is adopted. The algorithm optimizes the loading results of the master plan. In order to obtain the optimal trim condition and improve the seaworthiness of the ship, taking the container ship completed with stowage as the basic research object, the types of marine accidents and the corresponding emergency measures are analyzed. Based on the analysis of the structural characteristics of container ships, the stability evaluation criteria are constructed. The simulation flow of ballast water emergency under the condition of accident is put forward. Based on the actual production case, the shell-decomposition strategy and SWO optimization method are analyzed. The results of stowage and optimization show the effectiveness of the strategy and optimization method, and achieve the expected goal. Based on the loading results, the simulation model of container ship is built on AnyLogic platform. Two different data cases are simulated and analyzed. Finally, the emergency flow of ballast water adjustment strategy is simulated by defining dynamic events and setting the interactive interface of simulation.
【學(xué)位授予單位】:武漢理工大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2015
【分類號(hào)】:U693.4;U698.6
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 溫文華;范厚明;張文靜;馬夢(mèng)知;;集裝箱船舶大型化與城市經(jīng)濟(jì)發(fā)展關(guān)系的系統(tǒng)仿真[J];大連海事大學(xué)學(xué)報(bào);2015年01期
2 褚曉津;;船舶穩(wěn)定性的多港口集裝箱配載問(wèn)題[J];物流工程與管理;2014年11期
3 ;垤`;計(jì)明軍;;集裝箱船舶全航線配載優(yōu)化模型與改進(jìn)遺傳算法[J];交通運(yùn)輸工程學(xué)報(bào);2014年05期
4 王軍;陳金晶;陸永樣;;基于貪婪算法的水上應(yīng)急物資協(xié)同調(diào)度優(yōu)化方法[J];安全與環(huán)境學(xué)報(bào);2013年05期
5 馬麗君;馮其;張楠;;國(guó)外船舶破損穩(wěn)性理論分析[J];中國(guó)艦船研究;2012年02期
6 楊杰敏;丁香乾;郭保琪;陳林;;大型港口集裝箱船舶智能配載的集成算法研究[J];中國(guó)海洋大學(xué)學(xué)報(bào)(自然科學(xué)版);2011年10期
7 孫俊清;陳忱;劉鳳連;;考慮船舶穩(wěn)定性的多港口集裝箱配載問(wèn)題[J];計(jì)算機(jī)工程與應(yīng)用;2012年32期
8 孫曉雅;林焰;;集裝箱船多港bay位排箱的優(yōu)化方法[J];大連海事大學(xué)學(xué)報(bào);2011年01期
9 王仙水;;船舶擱淺事故的防患與應(yīng)急措施[J];天津航海;2010年04期
10 衛(wèi)家駿;;一種集裝箱船配載問(wèn)題改進(jìn)算法探討[J];重慶交通大學(xué)學(xué)報(bào)(自然科學(xué)版);2009年05期
相關(guān)會(huì)議論文 前2條
1 管仲富;錢根鋒;;淺析船舶擱淺成因及應(yīng)急措施[A];船舶碰撞與應(yīng)急處置[C];2007年
2 石愛國(guó);代亮;莊毅;楊波;吳明;;船舶擱淺后應(yīng)急措施與離淺方法研究[A];船舶碰撞與應(yīng)急處置[C];2007年
相關(guān)博士學(xué)位論文 前1條
1 張維英;集裝箱船全航線配載智能優(yōu)化研究[D];大連理工大學(xué);2006年
相關(guān)碩士學(xué)位論文 前1條
1 袁小龍;洋山深水港水域船舶碰撞事故預(yù)防與應(yīng)急研究[D];上海海事大學(xué);2004年
,本文編號(hào):1488327
本文鏈接:http://sikaile.net/kejilunwen/daoluqiaoliang/1488327.html