Steel-concrete composite structure is widely used in the present skyscraper industrial plant. This type of structure has a lot of advantages, such as high structural strength, efficient construction etc. However, the stiffness of this composite structure is lower than that of steel structures or reinforced-concrete structure, especially in the skyscraper industrial plant. The skyscraper industrial plant has a large span and high floor height, which means that the vibration comfort issues must be considered. This paper takes the actual skyscraper industrial plant under construction as the background, adopts the two methods of field measurement and finite element simulation, to obtain the first order vertical self-vibration frequency value of the steel-concrete composite slabs. The results show that the value is within the allowable range of error.
When the concrete filled steel tube member is poured, due to the large volume, the internal concrete is difficult to vibrate, easy to produce defects, not easy to observe, and the internal defects will have a non-negligible impact on its mechanical properties, therefore, it is particularly important to detect the internal defects of the concrete filled steel tube column. In this paper, the internal defects of CFST are studied based on the principle that acoustic wave propagates along the shortest acoustic path in CFST. For square concrete-filled steel tubular column, when the measurement method is adopted, the theoretical sound time calculation and sound velocity distribution map imaging are carried out for different measurement point densities. It is found that the defect identification effect is better when the number of measurement points is 5.For circular concrete-filled steel tubular column, when the measurement point spacing is determined to be 30° arc length, the measurement point arrangement method in the specification cannot be combined with CT imaging method, so the measurement point arrangement method of one-point emission and five-point receiving is proposed, and it is found that it has good identification effect on internal defects.
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