【摘要】：漿體管道輸送作為第五大輸送方式,其輸送優(yōu)勢(shì)得到了眾多工業(yè)行業(yè)的認(rèn)可。隨著其長(zhǎng)距離、高揚(yáng)程、高濃度的方向發(fā)展,雖然相比傳統(tǒng)運(yùn)輸方式(汽車、火車等)有不可比擬的優(yōu)點(diǎn),但相應(yīng)的投資費(fèi)用也十分巨大。本文在分析了國(guó)內(nèi)外的長(zhǎng)距離漿體輸送設(shè)計(jì)方法的基礎(chǔ)上,認(rèn)識(shí)到了傳統(tǒng)設(shè)計(jì)方法的不足,進(jìn)而深入研究了長(zhǎng)距離鐵精礦輸送管道優(yōu)化設(shè)計(jì)的方案,以期達(dá)到減少總費(fèi)用投資,提高設(shè)計(jì)效率和設(shè)計(jì)精度,增加企業(yè)的經(jīng)濟(jì)效益和社會(huì)效益等目的。首先,本文以整個(gè)設(shè)計(jì)周期內(nèi)的貼現(xiàn)值總費(fèi)用的最小值為優(yōu)化設(shè)計(jì)模型基礎(chǔ),結(jié)合漿體輸送技術(shù)和兩相流理論,確定了管道內(nèi)徑、管道壁厚、泵站數(shù)和泵站揚(yáng)程四個(gè)設(shè)計(jì)變量。根據(jù)漿體的輸送特性,建立了漿體水力摩阻損失、輸送流速、泵站特性和管道參數(shù)等約束條件,保證了設(shè)計(jì)模型的完整性。然后,通過(guò)對(duì)設(shè)計(jì)變量和約束條件的角度分析,確定了該模型為一個(gè)非線性約束離散變量?jī)?yōu)化問(wèn)題。經(jīng)多種求解方法比對(duì)后,最終選定遺傳算法作為該模型的求解方法。在深入研究遺傳算法操作原理的基礎(chǔ)上,詳細(xì)設(shè)計(jì)了該模型的求解步驟。最后,以國(guó)內(nèi)的某鐵精礦為例,擬建了一條長(zhǎng)距離鐵精礦輸送管線,并在Matlab 7.10軟件中進(jìn)行算法程序的編寫(xiě)。從優(yōu)化結(jié)果分析來(lái)看:輸送管道的工藝參數(shù)和經(jīng)濟(jì)指標(biāo)均滿足漿體管道工程設(shè)計(jì)的變化趨勢(shì)。通過(guò)與傳統(tǒng)設(shè)計(jì)方案所求得的管道參數(shù)相比管徑僅差0.4mm,壁厚相差1.5mm。然后,將最優(yōu)方案與其他方案的投資費(fèi)用相比約有103%~160%的經(jīng)濟(jì)差別,可以看出優(yōu)化效果是顯著的。從而,驗(yàn)證了本文所建立的模型和求解方法是可行的,其設(shè)計(jì)精度也完全可以達(dá)到初期工程參數(shù)設(shè)計(jì)的要求。本文所建立的長(zhǎng)距離鐵精礦輸送管道的優(yōu)化設(shè)計(jì)方法,是首次將智能算法應(yīng)用到漿體輸送管道的工程設(shè)計(jì)中。該方法不僅可以提高輸送技術(shù)的可靠性,還可以合理的降低投資成本。并且,結(jié)合實(shí)例給出了具體的計(jì)算流程,為以后的礦漿管道輸送設(shè)計(jì)提供了一定的參考方向。
[Abstract]:Slurry pipeline transportation as the fifth largest transportation mode, its transport advantages have been recognized by many industrial industries. With the development of long distance, high lift and high concentration, compared with the traditional transportation mode (automobile, train, etc.), it has incomparable advantages, but the corresponding investment cost is also very huge. On the basis of analyzing the design methods of long distance slurry transportation at home and abroad, this paper recognizes the shortcomings of the traditional design methods, and further studies the optimization design scheme of the long distance iron concentrate conveying pipeline in order to reduce the total cost investment. Improve the design efficiency and design accuracy, increase the economic and social benefits of enterprises and other purposes. Firstly, based on the minimum of the total cost of the present value in the whole design cycle, combined with the slurry transportation technology and the two-phase flow theory, four design variables of pipeline inner diameter, pipe wall thickness, pump station number and pumping station head are determined. According to the transport characteristics of slurry, the hydraulic friction loss, conveying velocity, pumping station characteristics and pipeline parameters are established to ensure the integrity of the design model. Then, by analyzing the design variables and constraint conditions, it is determined that the model is a nonlinear constrained discrete variable optimization problem. Genetic algorithm is finally selected as the solution method of the model. On the basis of deeply studying the operation principle of genetic algorithm, the solving steps of the model are designed in detail. Finally, taking a domestic iron concentrate as an example, a long distance iron concentrate transportation pipeline is built, and the algorithm program is written in Matlab 7.10 software. From the analysis of the optimization results, it is found that the technological parameters and economic indexes of the transportation pipeline meet the changing trend of the slurry pipeline engineering design. Compared with the traditional design scheme, the pipe diameter is only 0.4mm, and the wall thickness is 1.5mm. Then, comparing the optimal scheme with the investment cost of other schemes, there is an economic difference of about 103% or 160%, which shows that the optimization effect is remarkable. Thus, it is proved that the model and the solution method are feasible, and the design precision can meet the requirements of the initial engineering parameter design. The optimization design method of long distance iron concentrate transportation pipeline established in this paper is the first time that the intelligent algorithm is applied to the engineering design of slurry transport pipeline. This method can not only improve the reliability of transportation technology, but also reduce the investment cost reasonably. In addition, the concrete calculation flow is given in combination with an example, which provides a certain reference direction for the design of slurry pipeline transportation in the future.
【學(xué)位授予單位】：沈陽(yáng)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：TD56

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