无失效数据情况下单桩承载力可靠度研究

发布时间：2018-06-01 22:21

本文选题：可靠度 + 无失效数据　；参考：《湖南科技大学》2016年硕士论文

【摘要】：由于岩土工程可靠性问题中不确定因素较多,且检测数据多为无失效数据(检测试验中没有破坏或者失效的样品数据),传统的分析方法较难分析计算工程的可靠度。本文通过利用贝叶斯统计理论方法,将时间参数转化为荷载参数,把无失效数据可靠度模型应用于桩基承载力可靠度的计算研究中。通过对单桩承载力可靠度的研究作为算例分析,验证无失效数据可靠性模型在岩土工程中的可行性。并得到以下成果:1.针对岩土工程中的检测数据失效率低,小子样(样本空间小),工程可靠度高,极易出现零失效数据情况这一特点。引入无失效数据可靠度理论,并对该理论研究方法进行了一定的介绍。从理论的角度分析其在岩土工程可靠度方面的可行性。2.通过单参数指数分布无失效数据模型,建立关于桩基承载力的指数分布可靠度函数,对实际工程单桩竖向抗压静载试验数据进行处理分析,发现该模型可以较好的使用于桩基无失效数据模型,能较好的与实际情况吻合。3.通过双参数威布尔分布无失效数据模型,建立建立关于单桩承载力的指数分布可靠度函数,对实际工程桩单桩竖向抗压静载试验数据进行处理分析,在加入验前信息的同时引入小子样概念,并对似然函数进行修正。通过实际工程算例进行分析计算,其结果能较好反映实际工程情况。4.由于桩基试验数据较少,一般为小子样数据,而试验过程中经常难以获取真实的数据。本文提出利用Bayes方法,针对小子样数据进行污染回归处理。从而对用来计算分析可靠度的样本数据进行修正。
[Abstract]:Because there are many uncertain factors in the reliability of geotechnical engineering, and most of the test data are non-failure data (there is no damage or failure sample data in testing test), the traditional analysis method is difficult to analyze and calculate the reliability of engineering. In this paper, by using Bayesian statistical method, time parameters are transformed into load parameters, and the reliability model of no-failure data is applied to the calculation of bearing capacity reliability of pile foundation. The reliability of single pile bearing capacity is analyzed as an example to verify the feasibility of the reliability model of no-failure data in geotechnical engineering. And get the following results: 1. In view of the characteristics of low failure rate and small sample (small sample space and high engineering reliability) in geotechnical engineering, zero failure data is easy to appear. The reliability theory of non-failure data is introduced, and the research method of this theory is introduced. The feasibility of this method in geotechnical engineering reliability is analyzed from the angle of theory. Based on the single parameter exponential distribution data model, the reliability function of the exponential distribution of pile foundation bearing capacity is established, and the vertical compressive static load test data of practical single pile are processed and analyzed. It is found that the model can be applied to the pile foundation data model without failure, and it is in good agreement with the actual situation. 3. Based on the two-parameter Weibull distribution no-failure data model, the reliability function of exponential distribution on the bearing capacity of single pile is established, and the vertical compressive static load test data of practical single pile are processed and analyzed. At the same time, the concept of small sample is introduced and the likelihood function is modified. Through the analysis and calculation of practical engineering examples, the results can better reflect the actual engineering situation. 4. Because the pile foundation test data is few, it is usually small sample data, but it is often difficult to obtain the real data in the test process. In this paper, Bayes method is used to deal with the pollution regression of small sample data. Thus, the sample data used to calculate the reliability of the analysis are modified.
【学位授予单位】：湖南科技大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TU473.1

【参考文献】