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考虑多种误差的结构可靠度指标置信度研究
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摘要
随着科技的进步与理论的深入,对结构可靠性研究的要求愈来愈高,结构可靠度指标计算精度的要求也不断提高。本文将按照结构可靠度指标的计算原理,总结寻找其影响因素和可能产生的误差,分析误差产生原理及作用方式,并提出合适的数学力学方法量化误差作用大小,对可靠度指标进行修正,以期获得对实际工程具有更好指导意义的结果。
     很多实际工程,尤其是岩土工程,可靠性计算数据直接来源于现场测量结果。依据数理统计,同一性能指标的现场试验可看作抽样试验,测量结果则可看作样本。根据样本可以对性能指标进行参数估计,这些估计值是可靠度指标计算的基础。以样本参数估计母体参数,必然存在随机性,同一母体在不同子样下有不同的参数估计结果,导致可靠度指标将会在一定范围内产生随机波动,故依据子样得到的可靠度指标应该是一个随机变量,而目前可靠度研究中将其简化为一个固定的简单的数值。作为随机变量的可靠度指标要实现对工程的指导意义,必须进行置信区间研究,即可靠度指标真实值发生在某个数值区间内的概率大小。不论是传统的可靠度指标的取值,还是本文提出的随机变量的可靠度指标的置信区间都受到各种误差因素的影响,必须进行相关误差研究才能更好地应用于实践。本文将对相关误差因素进行逻辑分析与量化计算,具体分析过程如下:
     首先,可靠度指标赖以计算的基础是测量数据,而在具体测量过程中误差不可避免。测量误差包括系统误差、随机误差和粗差,这些误差可以通过提高子样样本容量和严格按照数理统计理论处理数据得到有效控制。然而,在实际工程中,相应规范标准在数据采集时要求的测量次数很少,对数据的处理比较简单,在大多数情况下可以对数据进行有效处理,但是在某些情况下可能会出现数据处理的误差,导致可靠度计算的结果成为“空中楼阁”。本文通过实例数据说明土木工程规范在数据处理中存在的某些缺陷,同时测绘科学与技术中测量误差的相关理论与处理方法可以有效改善这些缺陷,这也说明测量误差理论在土木工程数据处理领域的应用可以有效提高结构可靠性分析结果自身的可靠性。
     其次,结构可靠性理论分析中,正态分布应用较为广泛。其与很多随机变量的实际概型契合较高,且具有较好的数学优势,易于推导及变换。但是,理论与实际很难完全符合,随机变量只可能近似服从正态分布,特别是概率密度曲线尾部是否有界的问题,导致理论失效概率与实际失效概率之间存在偏差的尾部效应问题。随着可靠性研究精度要求的提高,必须考虑尾部效应,特别是在结构的系统可靠性问题中,偏差将会产生非线性累积。为消除尾部效应,本文提出了平截尾正态分布,该分布是对正态分布的修正,继承了正态分布的优点,并有效解决了尾部效应。本文完成了新分布的相关理论和应用研究,通过假设检验证明新分布可用于实际工程的理论分析模型,并深入讨论其与正态分布计算得到的失效概率的偏差,计算结果显示两者偏差在10%以上。
     再次,任何结构在设计、制造、施工和管理使用等全过程的各个阶段都是由人进行相关操作,不可避免存在各种人因失误造成的影响。例如:设计图配筋失误、混凝土浇筑施工失误、使用超载失误等等。为保证可靠性研究结果对实际工程的指导意义,应该考虑人因失误因素。本文提出了AHP-THERP复合模型分析建筑结构全过程人因失误概率,继而量化人因失误对结构抗力总体水平的影响,使计算可靠度指标的结构抗力值能够真实反映结构实际承载能力。
     最后,结构由若干构件组成,而构件安装后实际尺寸受生产控制技术、安装、使用环境等多种因素的影响不可能与设计尺寸完全相同,即结构存在几何误差。对于超静定结构,几何误差将会在杆件内部产生自内力,从而影响荷载在杆件中的分布。本文通过结构力学方法推导出的结构冗余分量矩阵,得到结构在几何误差下的自内力,得到其对结构可靠性的影响。
     综上所述,为更加全面真实的研究结构可靠性状况,应该考虑各种因素对可靠度指标的影响。本文提出了可靠度指标计算的参数漂移模型,该模型能够量化各种误差因素对可靠度指标的影响,从而能够得到真实准确反映结构可靠性的可靠度指标。实例分析结果显示本文模型计算结果与传统计算结果差距超过10%,因此,实际工程有必要同时考虑本文模型于传统计算模型的分析结果。本文模型在可靠性研究中具有一定的实用意义和广泛的应用前景。
With the development of the structure reliability, the accuracy ofreliability index no longer demands with real engineering. This paper willlook for error factors in reliability calculating procedure. Then theinfluence of these error factors on reliability index is analyzed to makethe reliability index more significant.
     The data for calculating the reliability index are from measuringresults. By probability theory, a measuring result is a test, and repeatedmeasuring results are specimen. Generally, the sample result is regardedas parameter estimation of the population. Then, different sample resultwill get different parameter of the same population. Therefore, thereliability index is a random variable, not a fixed value in classicalstructure reliability. As a random variable, the reliability index must beconsidered confidence interval when using in engineering. The influenceof error factors on the reliability index will be researched in this paper.
     Firstly, the error in measuring process is inescapable. These errorscontain systematic error, random error and gross error. They can becontrolled by increasing the sample size and logical data processing. But,civil engineering standards and criterions demands are not strict and notagree with real engineering. Then, the calculated results of reliabilitywould be a castle in the air when standards and criterions do not work.Therefore, it is necessary to pay attention to data processing in structurereliability to prevent data processing error.
     Secondly, the normal distribution is applied extensively in structurereliability. It has mathematics advantage and agrees with real distributionof engineering data in a large part. The difference between the normaldistribution and engineering distribution is at two tails of their probabilitydensity curves. It is named end effect and can produce nonlinearcumulative error in structural system reliability. A new distribution is putforward in this paper. It inherits the advantage of the normal distributionand avoids the end effect.
     Thirdly, the whole process of a structure, which containing design, manufacturing and managing, is completed by human. Then, human erroris inevitable. An AHP-THERP model in created in this paper to analyzethe influence of human error on reliability index.
     Finally, a structure is made up of many construction members. Themanufacture size of a member is not equal to its design size. Thisdifference is structural geometrical error. It can bring up internal forceand influences structure reliability.
     In summary, a new calculating model of reliability index consideringall error factors is put forward in this paper. It is significant to structurereliability research.
引文
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