建筑垃圾填筑路基段沉降規(guī)律預(yù)測(cè)與分析
[Abstract]:Scientific and reasonable prediction of post construction settlement is the key link of highway construction. The settlement deformation of construction refuse filling subgrade is small and relatively fluctuant, and the most widely applied curve fitting method for the settlement prediction of the larger deformation of soft soil subgrade is still to be studied, so it remains to be studied. Combined with the characteristics of settlement and deformation of subgrade, the system analysis and optimization of settlement prediction algorithm are systematically analyzed, and the prediction algorithm with good stability, high accuracy and convenient operation is explored. It has important engineering application value and academic value. The automatic monitoring system is designed, and the monitoring data of the site are analyzed. The settlement characteristics of the subgrade section are obtained. The mechanism of the deformation of the building garbage foundation and the composition of the subgrade settlement are analyzed. The evaluation index and standard standard of the subgrade settlement are obtained, and the evaluation criteria for the subsequent algorithms are provided. Secondly, the evaluation criteria are provided. The subgrade is based on the probabilistic design analysis based on the finite element method. The results are in agreement with the later settlement value of the subgrade, indicating the validity of the monitoring system and the accuracy of the ANSYS analysis of the final settlement value of the subgrade. Again, the applicable range of the existing foundation settlement theory calculation algorithm is summarized, and the common algorithms, such as the three point method and the hyperbola, are used. The method, expansion of hyperbola method and Hoshino Nori algorithm are studied, which are based on the A ramp on the base section of building garbage, and the monitoring data of the settlement deformation of the D ramp project is the sample. The applicability and the advantages and disadvantages of the four commonly used algorithms are obtained by the simulation prediction results. Then, a combination improvement algorithm is proposed for the shortcomings and limitations of the four commonly used algorithms. The applicability and characteristics of settlement prediction are studied. Finally, it is known from the prediction results that the three point field method and the three point modified hyperbola method can overcome the influence of the great fluctuation of measured data. The correlation coefficient of the prediction is close to the ideal value, the square sum of error is small, and the settlement prediction of refuse filling road foundation is superior to the three point method and expands double. The curve method, Hoshino Nori and the equal time distance expansion hyperbola method. The research content of this paper provides a scientific basis for determining the settlement law of refuse filling subgrade, and provides a reference for the application of building garbage as a subgrade filling, and has significant social benefits.
【學(xué)位授予單位】:長(zhǎng)安大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:U416.1
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