3D Geospatial Function Monitoring Model of Arc Dam Deformation Based on the Improvement of Temperature Component

摘要

Arc dam deformation is one of the main monitoring programs which reflect the structural performance of arc dam. Traditional regression monitoring model has been used in arc dam deformation, in which reservoir water level component, temperature component, and timeliness component are used. However, due to the influence of complex environmental factors on arc dam deformation, there exists the under fitting problem in traditional monitoring model. Thus, the temperature component is improved to improve the model precision. Meanwhile, to reflect the integral deformation of arc dam, spatial coordinate vector is adopted and the 3D geospatial function monitoring model based on the improvement of temperature component is established. Considering dozens of factors in the established monitoring model, quantum genetic algorithm, and stepwise regression method are adopted to obtain prominently factors and exclude indistinctively factors. Then, both 3D geospatial function monitoring model and traditional monitoring model are used to the deformation analysis of one concrete arc dam. The results show that 3D geospatial function monitoring model has a better precision, which provides important basis for the analysis of arc dam deformation.