Wind–Temperature Load Combination Coefficients for Long-Span Hybrid Cable-Stayed Suspension Bridge with Considerations of Load Correlation and Geometry Nonlinearity
Source abstract
Abstract
This study focuses on quantifying wind–temperature load combination coefficients for long-span hybrid cable-stayed suspension bridges (HCSSBs) to overcome limitations of traditional methods in ignoring load correlation and geometry nonlinearity. A probabilistic framework is proposed to use site-specific load data to determine load combination coefficients, focusing on load correlation and geometric nonlinearity while assuming that stress reflects load effects and that 100-year samples are statistically representative. Long-sequence meteorological data, including wind and temperature measurements, were used to construct marginal and bivariate joint distributions, which characterize the randomness and correlation of wind and temperature loads. Load samples covering the design reference period were generated and validated via convergence tests. Four load scenarios (individual temperature, individual wind, linear superposition, and nonlinear coupling) were designed, and key control points are screened using indicators reflecting the comprehensive load effect EII-, combined load proportion ζ, and nonlinear influence η. Based on stress responses of key control points, load combination coefficients were derived with probability modeling. A case study for a bridge with span length of 2300 m shows that the load combination coefficients for the main girder are 0.60 (east wind) and 0.59 (west wind), while they are 0.51 (east wind) and 0.58 (west wind) for the main tower. These results demonstrate that the proposed method enables the provision of rational load combination coefficients.
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Research context
OpenAlex topics: Structural Engineering and Vibration Analysis · Vibration and Dynamic Analysis · Fluid Dynamics and Vibration Analysis
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Civil Engineering, Anhui Jianzhu University, Hefei 230601, China
School of Transportation, Southeast University, Nanjing 211189, China
State Key Laboratory of Safety, Durability and Healthy Operation of Long Span Bridges, Southeast University, Nanjing 211189, China
Funding
Natural Science Foundation of Jiangsu Province · State Key Laboratory for Track Technology of High-Speed Railway · National Natural Science Foundation of China
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