Applied Mechanics and Materials Vols. 580-583

Abstract: GM (1,1) model was created to forecast the development and change of a high-fill settlement by viewing the high-fill settlement process as a grey system, conducting generation treatment and taking the settlement incremental data sequence as the original data sequence. According to example which demonstrated that the measured settlement at the forecasted model analyzing and monitoring point was practical and relatively accurate.

Abstract: In this paper, a new solution to the semi-parametric estimation of a mixed model additional system parameters was conducted to derive a calculation method of parameter adjustment at the model regularization matrix, and determine the estimation of parameters and non-parameters as well as the accuracy evaluation formula of the model. The effectiveness of the semi-parametric estimation method was demonstrated through simulation examples, and the semi-parametric model additional system parameters was further extended.

Abstract: This paper took Guangzhou New TV Tower as an example to introduce how to ensure the systematicness and controllability of vertical measurement through the control survey in the process of constructing the high-rise buildings, how to ensure the unity of the each axis system in monomer construction and unity of the whole structure, providing a reference basis for similar projects.

Abstract: The atmospheric phase delay due to tropospheric water vapor has been one of the major limitations for the application of high precision repeat pass InSAR. In this paper, we present the atmospheric correction methods and key technology for ASAR interferograms with MODIS integrated water vapor data, then, conduct the atmospheric corrections using ASAR interferometric pair over the Taiyuan region as examples. The experimental results show that the MODIS\ASAR atmospheric correction method can greatly improve the quality of interferogram, and the deformation inversion accuracy can be significantly improved, verify the necessity and reliability of MODIS and ASAR data fusion for obtaining information of surface deformation.

Abstract: In this paper, we studied high accuracy azimuth measuring on improving the precision of traverse azimuth from the perspective of transfixion measurement error in a tunnel project. On the basis of a feasible scheme using Gyro Total Station measurement is given. Data processing theory and method are also introduced with a successful tunnel transfixion case. The transfixion results show that the instrument constant measurement precision is 3.7", baseline coordinates azimuth measurement accuracy is 4.8" into tunnel, the final orientation coordinate azimuth value and traverse measurement values differ is 11", to guide the construction of the gyro orientation with survey results achieved tunnel through smoothly.

Abstract: Supported by terrestrial 3D laser scanning technology, by using the GPS RTK technology as the verification. Explored the application of terrestrial 3D laser scanning technology in the calculation of fine earthwork, including the whole process from program design, pre-organization, field measurements applied to the calculation and submit of indoor operation results. In addition, Lanhaiwan project in xi’an of shannxi province was taken as a case to introduce detailed processes of fine earthwork calculation, The results show that the terrestrial 3D laser scanning technology can be well used for accurate measurement of the earthwork.

Abstract: The traditional steel structure deformation monitoring generally uses Total Station and GPS to do monitoring quality control, but there are some disadvantages of these methods. Laser radar technology is a new non-contact measurement technology emerged in recent years. It is ideal for installation and slip construction quality monitoring of large-span steel structure. This paper use laser radar technology to monitor large-span steel structure construction, use laser scanner to scan on steel every period of time and collect 3D point cloud data of the feature points after a period of time. Through the comparative analysis of the data and the chart which reflect the amount of deformation of the feature points, it can accurately obtain the result of structural deformation, oblique direction, and the deviation between the actual coordinates and the design coordinates, which provides the most accurate and direct information for the project. Laser radar technology solves the difficult issues such as workload outside the industry and difficulties in visibility of the traditional measurement methods, greatly improves accuracy and efficiency compared to traditional methods, and achieve a high-precision quality control over the construction.

Abstract: The article introduces that the GPS technology in the bridge construction survey turns the bridge axis lofting spots and the construction control net into the overall net after completing the plane control net, to centrally gathering information and simultaneously adjustment processing, so as to satisfy the high accuracy request of the bridge axis lofting.

Abstract: According to the settlement and deformation of pavement in subway construction, the paper improved on the basis of gray system theory and BP neural network forecasting model. The method is adapted to modified residual prediction model to predict with engineering examples. It provides decision-making basis for construction engineering and monitoring.

Abstract: Due to the broadly application of remote sensing imagery, there is an eager need for the classification of objects in the images. The multi-scale classification based on object oriented analysis is not a usual approach for image classification because the users of multi-scale classification do not know how to use the information from multiple scales to do multi-scale classification. Many users rely on some easily accessible tools. nearest neighbour classifier, to do multi-scale classification. The multi-scale classification classifies the images from different scales. The feature values of the object vary from different scales and they may have some trends against scales. These trends may help us to understand multi-scale classification better. This is the scale dependency of features. The difference between multi-scale classification and single-scale classification is not only multiple scales, but also the use of information from different scales. In order to explore the connection between different scales, the research of new features is necessary.