超高层建筑费用估算及全寿命周期费用优化

发布时间：2018-11-16 08:22

【摘要】：超高层建筑具有体量庞大、功能复杂、投资额度高等特点,其经济性受到政府和投资者的高度重视。因此,在项目立项前期对超高层建筑投资费用进行估算,并从全寿命周期角度研究超高层建筑费用组成及优化具有十分重要的意义。本文主要对超高层建筑的全寿命周期费用展开研究,首先提出了适用于超高层建筑的全寿命周期费用组成,首次将GA-BP算法推广到超高层建筑建设期费用估算中;然后采用试压缩关键线路法对建设期费用进行优化;最后确立运营期费用及收益计算方法,提出了全寿命周期费用动态优化模型。本文的主要研究内容如下所述:首先,本文提出了适用于超高层建筑的全寿命周期费用研究步骤与费用组成模式,并详细分析了全寿命周期各时期的费用组成。其次,针对超高层建筑建设期费用组成复杂、投资额大、受关注程度高等特点,本文首次提出将遗传算法优化后的BP神经网络推广到超高层建筑建设期费用估算中;采用MATLAB编程软件编制了适用于超高层建筑建设期费用估算的GA-BP算法程序;通过与BP神经网络的测试结果进行对比,结果表明:采用本文提出的GA-BP算法程序对超高层建筑建设期费用进行估算具有更高的可靠性和准确性。然后,本文采用压缩关键线路法对建设期费用进行了优化;通过分析建设期与运营期费用关系,得到了运营期费用及收益的确定方法;借助资金时间价值理论建立了以财务净现值FNPV为目标的全寿命周期费用动态优化模型,评选出最优全寿命周期费用方案。最后,本文以某超高层建筑作为研究案例,分析结果表明:采用本文提出的全寿命周期费用动态优化模型评选出的最优方案能够在合理的建设工期下节省较大的费用支出,验证了该优化模型的合理性和经济性。
[Abstract]:Super tall buildings have the characteristics of large volume, complex function and high investment quota, and their economy is highly valued by the government and investors. Therefore, it is of great significance to estimate the investment cost of super high-rise building in the early stage of project establishment, and to study the composition and optimization of the cost of super high-rise building from the point of view of the whole life cycle. In this paper, the whole life cycle cost of super high-rise building is studied. Firstly, the composition of life cycle cost suitable for super high-rise building is put forward, and the GA-BP algorithm is extended to estimate the cost of super high-rise building construction period for the first time. Then the cost of the construction period is optimized by the trial compression key line method. Finally, the calculation method of the operating period cost and the income is established, and the dynamic optimization model of the whole life cycle cost is put forward. The main contents of this paper are as follows: firstly, this paper presents the research steps and cost composition models of life-cycle cost for super high-rise buildings, and analyzes the cost components of each period of the life cycle in detail. Secondly, aiming at the characteristics of complex cost composition, large investment and high degree of attention in the construction period of super high-rise building, this paper proposes to extend the genetic algorithm optimized BP neural network to the cost estimation of super high-rise building construction period for the first time. The MATLAB software is used to compile the GA-BP algorithm program which is suitable for the cost estimation of the super high-rise building during the construction period. Compared with the test results of BP neural network, the results show that the proposed GA-BP algorithm program is more reliable and accurate in estimating the construction cost of super high-rise building. Then, the paper optimizes the cost of the construction period by using the compression key line method, and obtains the method of determining the cost and income of the operation period by analyzing the relationship between the cost of the construction period and the operating period. Based on the theory of capital time value, a dynamic optimization model of total life cycle cost (LCC) with the goal of financial net present value (FNPV) is established, and the optimal life-cycle cost scheme is selected. Finally, taking a super high-rise building as a case study, the analysis results show that the optimal scheme selected by the dynamic optimization model of life cycle cost proposed in this paper can save a large amount of cost under a reasonable construction period. The rationality and economy of the optimization model are verified.
【学位授予单位】：长安大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TU974;TU723.3

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