集装箱码头后方堆场荷载统计分析和概率模型
发布时间：2018-12-09 14:15
【摘要】：近年来,可靠度方法成为结构设计发展的一个重要方向之一。采用可靠度方法进行码头结构设计,能否真正反映实际情况,与可靠度计算中变量统计参数的准确与否有关。目前已对码头堆货荷载进行过统计分析,对集装箱码头后方堆场的集装箱荷载统计不多。本文对国内南方和北方两个代表性地区集装箱码头堆场的荷载进行了统计分析,建立了集装箱码头堆场荷载的概率模型。一方面可了解当前集装箱码头堆场荷载的情况,另一方面为未来集装箱码头堆场的可靠度设计提供支持。本文研究内容的主要结论如下： (1)介绍了概率论、数理统计、随机过程和随机场的基本概念,以及工程荷载分析中常用的随机变量、随机过程模型和模型中参数的估计方法。 (2)对大连港集装箱码头堆场进行了集装箱荷载调查和统计分析；采用不平稳随机场模型,建立了集装箱堆场的局部荷载模型和整体荷载模型,确定了集装箱荷载的统计参数。研究表明,大连港集装箱码头堆场50年设计基准期的局部荷载最大值服从极值Ⅰ型分布,平均值为89146.56kg,标准差为24664.42kg,变异系数为0.2767；50年设计基准期的整体荷载最大值也服从极值Ⅰ型分布,平均值为1820.31kg/m2,变异系数为0.1190。 (3)对广州南沙港集装箱码头一期工程堆场进行了集装箱荷载调查和统计分析；采用不平稳随机场模型,建立了集装箱堆场的局部荷载模型和整体荷载模型,确定了集装箱荷载的统计参数。研究表明,广州南沙港集装箱码头一期工程堆场50年设计基准期的局部荷载最大值服从极值Ⅰ型分布,平均值为72963.48kg,标准差为10687.92kg,变异系数为0.1465；50年设计基准期的整体荷载最大值也服从极值Ⅰ型分布,平均值为1772.83kg/m2,变异系数为0.1435。 (4)对广州南沙港集装箱码头二期工程堆场进行了集装箱荷载调查和统计分析；采用不平稳随机场模型,建立了集装箱堆场的局部荷载模型和整体荷载模型,确定了集装箱荷载的统计参数。研究表明,广州南沙港集装箱码头二期工程堆场50年设计基准期的局部荷载最大值服从极值Ⅰ型分布,平均值为61237.58kg,标准差为9161.07kg,变异系数为0.1496；50年设计基准期的整体荷载最大值也服从极值Ⅰ型分布,平均值为1906.49kg/m2,变异系数为0.2149。
[Abstract]:In recent years, reliability method has become one of the important directions of structural design. Whether the reliability method can really reflect the actual situation of wharf structure design is related to the accuracy of variable statistical parameters in reliability calculation. At present, the stowage load of the dock has been statistically analyzed, and the statistics of the container load at the rear yard of the container terminal is not much. In this paper, the load of container terminal yard in the south and north of China is analyzed and the probabilistic model of the loading is established. On the one hand, it can understand the current loading of container terminal yard, on the other hand, it can support the reliability design of container terminal yard in the future. The main conclusions of this paper are as follows: (1) the basic concepts of probability theory, mathematical statistics, stochastic processes and random fields, and the random variables commonly used in engineering load analysis are introduced. Methods for estimating the parameters of stochastic process models and models. (2) carrying on the container load investigation and statistical analysis to the container terminal yard of Dalian Port; Using the unsteady random field model, the local load model and the integral load model of the container yard are established, and the statistical parameters of the container load are determined. The results show that the maximum value of local load in the 50 years design datum period of container terminal of Dalian Port is distributed according to type I of extreme value, the average value is 89146.56 kg, the standard deviation is 24664.42 kg, and the coefficient of variation is 0.2767; The maximum value of the whole load in the design base period of 50 years is also distributed from the extreme value type I, the average value is 1820.31 kg / m ~ 2, and the coefficient of variation is 0.1190. (3) the container load investigation and statistical analysis are carried out on the first stage container yard of Guangzhou Nansha Port Container Terminal; Using the unsteady random field model, the local load model and the integral load model of the container yard are established, and the statistical parameters of the container load are determined. The results show that the maximum value of local load in 50 years design datum period of container terminal of Nansha Port in Guangzhou is distributed from extreme value type 鈪，
本文编号：2369508
[Abstract]:In recent years, reliability method has become one of the important directions of structural design. Whether the reliability method can really reflect the actual situation of wharf structure design is related to the accuracy of variable statistical parameters in reliability calculation. At present, the stowage load of the dock has been statistically analyzed, and the statistics of the container load at the rear yard of the container terminal is not much. In this paper, the load of container terminal yard in the south and north of China is analyzed and the probabilistic model of the loading is established. On the one hand, it can understand the current loading of container terminal yard, on the other hand, it can support the reliability design of container terminal yard in the future. The main conclusions of this paper are as follows: (1) the basic concepts of probability theory, mathematical statistics, stochastic processes and random fields, and the random variables commonly used in engineering load analysis are introduced. Methods for estimating the parameters of stochastic process models and models. (2) carrying on the container load investigation and statistical analysis to the container terminal yard of Dalian Port; Using the unsteady random field model, the local load model and the integral load model of the container yard are established, and the statistical parameters of the container load are determined. The results show that the maximum value of local load in the 50 years design datum period of container terminal of Dalian Port is distributed according to type I of extreme value, the average value is 89146.56 kg, the standard deviation is 24664.42 kg, and the coefficient of variation is 0.2767; The maximum value of the whole load in the design base period of 50 years is also distributed from the extreme value type I, the average value is 1820.31 kg / m ~ 2, and the coefficient of variation is 0.1190. (3) the container load investigation and statistical analysis are carried out on the first stage container yard of Guangzhou Nansha Port Container Terminal; Using the unsteady random field model, the local load model and the integral load model of the container yard are established, and the statistical parameters of the container load are determined. The results show that the maximum value of local load in 50 years design datum period of container terminal of Nansha Port in Guangzhou is distributed from extreme value type 鈪，
本文编号：2369508
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