Abstract
The cable-pylon anchorage zone is a typical D-region in a cable-stayed bridge, for which there has been no uniform simplified design method until now. In this paper, based on the extensive statistics of actual projects, topology optimization techniques and principle of minimum strain energy, two precise strut-and-tie models for the cable-pylon anchorage zone are proposed, which can clearly reveal the load-transmitting mechanism of the anchorage zone. Th e explicit geometric parameters of the strut-and-tie models are derived; thus, the designers can directly use these models. A simple design procedure to deploy prestressing tendons in the anchorage zone is also introduced, whose effectiveness and convenience are demonstrated by two design examples. A new design named the “one-way prestressing tendons PC cable-pylon” is also discussed regarding its application scope.
Highlights
The PC cable-pylon anchorage zone in a cable-stayed bridge is a typical stress-disturbed region (D-region) that accounts for its geometrical discontinuities, which makes it a vital part and difficult to design
By vectorizing the optimal topology of the thick anchorage zone in Figure 5, we find that the strut-and-tie model (STM) is a model of certainty, which implies that the main geometric parameters will not change with λ ; except when 0.6 ≤ λ < 0.65, the model is uniformly scaled
To demonstrate the effectiveness of the design procedure based on the proposed STM, two design examples for thin and thick anchorage zones according to actual projects are provided
Summary
The PC cable-pylon anchorage zone in a cable-stayed bridge is a typical stress-disturbed region (D-region) that accounts for its geometrical discontinuities, which makes it a vital part and difficult to design. Two optimal strut-andtie models are proposed based on topology optimization (Bendsoe & Sigmund, 2013; Jia, Misra, Poorsolhjouy, & Liu, 2017), and the explicit geometric parameters are It has been applied in 3 long-span cable-stayed bridges in Guangdong Province, China (Cui et al, 2016), but the indepth research remains insufficient
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