模型誤差的診斷及其補(bǔ)償方法若干問題研究
[Abstract]:Measurement is an important means for human beings to understand the material world. By measuring people's understanding of objective things on the basis of "quality", we can conclude the general rules and establish various calculation formulas and models. However, in general, the model that we set up is not completely consistent with the objective reality, which we call model error. Especially, the high accuracy and automation of modern data acquisition have changed the contingency in conventional geodesy. In this paper, the theory of model error and its diagnosis method, the compensation effect of model error and the application of model compensation in road engineering are studied systematically. The construction of highway on soft foundation is of high cost and high standard, and requires high settlement and stability of subgrade. However, due to its strong permeability, large water content and low strength, the soft foundation is characterized by its strong permeability, high water content, low strength, and so on. So the settlement problem has become the core problem of the highway construction, which is of great significance for the timely prediction of the pavement foundation settlement and the control of the time of the whole construction team. Due to the lack of deep research on the compensation technology of model error and the lack of comparative study and accuracy evaluation of various mathematical models, the settlement prediction of its highway engineering foundation is also insufficient. At present, the generally accepted and reasonable settlement prediction method is based on the measured settlement value in the field. Because of the complexity of the algorithm, the time interval of the measured data is required to be long, and the error is inevitable. Timely compensation can effectively improve the accuracy of the model. This paper mainly studies the model error theory and data processing model, and uses the statistical method in mathematics to diagnose the error. In the model error compensation method, the additional parameter method, the additional system weight method, the least square collocation method and the semi-parameter method are studied. Through a group of experimental fitting data, the compensation analysis is carried out with four methods, and the relevant conclusions are drawn, and the selection of different regression models is put forward, which has different opinions on the effect of model error compensation. Finally, combined with many engineering examples, the application of model error compensation technology in settlement prediction of road engineering is analyzed in detail. The empirical formula method has model error. In this paper, the least square collocation method is combined with the practical problems of highway engineering, and the commonly used empirical formulas based on the measured data are combined to predict the foundation settlement. The experimental results show that the model compensation method based on least square collocation has good compensation effect by comparing the compensation effect diagram.
【學(xué)位授予單位】:昆明理工大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2013
【分類號(hào)】:P207
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