Calculation and Analysis of Through Concrete Filled Steel Tubular Tied Arch Bridge

In order to understand the stress of small through tied arch bridge. In this paper, the finite element simulation analysis of Lu Shanqu bridge is carried out in the completion stage by using MADIS / civil software, and the tie bars, arch ribs and suspenders of the superstructure are monitored. The results show that the axial force of the arch rib of this bridge is reduced by the balance of the tie rod, and the bending moment of the tie rod is greatly reduced by the action of the suspender. The stress characteristics of the bridge type are internal statically indeterminate and external statically indeterminate structure.

Analysis on Construction Technology of Reinforced Concrete Tied Arch Bridge

Bridge construction has received a lot of attention as transportation continues to improve. Reinforced concrete linked arch bridges are a common bridge style in today’s bridge construction. This type of bridge not only has a basic and generous shape, but it is also incredibly easy to construct, resulting in significant material and construction cost savings. This article analyzes the construction technology of a reinforced concrete linked arch bridge in order to achieve good construction and application. It is hoped that this analysis can provide a scientific reference for the guarantee of the construction quality and subsequent application effect of this kind of bridge.

Analysis of Key Technologies in the Design of Small and Medium Span Basket Type Steel Box Tied Arch Bridge

In order to ensure the construction quality and safety of small and medium span basket type steel box tied arch bridge, this paper takes a practical project as an example to analyze the key technologies in its design process. It is hoped that this analysis can provide corresponding reference for the design and construction of this kind of arch bridge.

Research on the key technology of TIED-arch bridge Incremental Launching Method Construction

Steel tied arch bridge has been widely used in modern bridge construction due to its beautiful shape, high material utilization rate and overall structural stiffness. However, there are few cases in which the tied-arch bridge is constructed by incremental launching . Based on the steel tied arch bridge project, this paper uses finite element software to establish the finite element simulation analysis of the construction process, and monitors the construction process of the bridge. The test results show that it is in the most unfavorable state when the cantilever at the end of the bridge reaches the maximum. At this time, the stress at the 117 m position of the beam reaches the maximum, the stress at the top edge is 33.7 MPa, and the stress at the bottom edge is -58.2 MPa. The stress in other sections did not exceed 30 MPa, and the beam was under uniform stress. When the foot of the internal arch passes through the temporary pier, the supporting force of the pier is maximum, which is about 6000 kN. The reasonable range of α is between 0.55 and 0.65, which is the ratio between the length Ln of launching nose and the maximum span L of incremental launching .

Comparison on outlier detection methods using measured data from a long span tied-arch bridge

<p>As the demand for the detections of outliers in the structural health monitoring data-set increases, numerous approaches are presented for it. However, the characteristics of the existing methods dealing with different kinds of measured data are not yet clear enough for practical use. Therefore, this paper conducts a comparative study of several popular rule-based methods based on monitoring data of an arch-tied bridge in China. For measured data, outliers are not known in advance. In this way, this study evaluates and compares the detection performances rely on two indicators: the quantity of the detected outliers and the extreme value of the outliers deviating from the mean of the data. Conclusions on the features and applicable situations of involved methods are given. Additionally, combining the results of different methods proves to be beneficial. Finally, a software incorporating the research results is developed for outlier detection.</p>