Abstract
GNSS technology has many features such as all suitable for all-weather condition and high degree of accuracy, which made it a promising method for structural displacement monitoring. In recent years, GNSS has been extensively applied to health monitoring of large civil structures as long-span bridges, dams and high-rise buildings. In the engineering survey, perpendicularity of datum axis and elevation control is one of the most important contents of quality control of building construction. Scientific, rapid and precise measurement method is the foundation of guaranteeing engineering quality and construction period, as well as improving measuring efficiency and precision of positioning. As a new type of measurement method in engineering survey field measurement, GNSS has some particular advantages. For high-rise buildings with frame shear wall structures, construction surveying aims at transmitting axis and elevation. To determine plane and elevation control points of each floor in construction projects, application of GNSS method with static positioning mode is effective. Compared with traditional methods, the accuracy of GNSS method is high enough to meet design requirements. In addition, it is less affected by environment and can improve overall work efficiency. In this chapter, the basic principle of GNSS and the multi-path effect with its process sing method are firstly introduced. Then with the long-period dynamic monitoring data of New Building in Chongqing Industry and Trade and Polytechnic, the performance of GNSS to monitor structural displacements in complex environment is discussed. Finally, the current status of GNSS application in the field of civil engineering is briefly summarized.
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Cheng, Y., Zeng, R., Guo, S. (2024). GNSS Application in Construction Surveying of High-Rise Buildings with Frame Shear Wall Structures. In: Kang, T. (eds) Proceedings of 5th International Conference on Civil Engineering and Architecture. ICCEA 2022. Lecture Notes in Civil Engineering, vol 369. Springer, Singapore. https://doi.org/10.1007/978-981-99-4049-3_41
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DOI: https://doi.org/10.1007/978-981-99-4049-3_41
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