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<p>The structural performance of long-span concrete-filled steel tubular (CFST) arch bridges is significantly influenced by solar thermal effects. Due to the complex spatial arrangement of multiple arch rib members in such bridges, mutual shading among members critically affects the spatial temperature field distribution of the arch rib. This inter-component shading intensifies the nonlinear characteristics of temperature gradient distribution, making shadow recognition for the arch ribs a crucial aspect in three-dimensional temperature field analysis. To efficiently identify shadow distribution on CFST arch ribs and calculate solar-induced temperature fields, this study proposes a Rotating Coordinate System Method (RCSM) based on ray-tracing algorithms for solar shadow recognition, combined with a modified clear-sky model incorporating non-clear weather scenarios. Field experiments on a typical CFST arch rib segment were conducted to validate the accuracy of both methods. The proposed methodology was applied to analyze non-uniform three-dimensional temperature field distributions in CFST arch rib segments. Results demonstrate that integrating RCSM with the modified clear-sky model addresses excessive computational load and reduces invalid calculation ‌errors‌ in shadow recognition for CFST ‌arch ribs. Computational accuracy was further validated by experimental data under both clear-sky and overcast conditions. Specifically‌, when structural shading effects are considered, the maximum temperature difference (Δ<i>T</i>) among chord members reaches ‌19.5&#xa0;°C‌ under clear-sky conditions, with a peak sectional mean temperature of ‌49.2&#xa0;°C‌. In contrast, overcast conditions exhibit Δ<i>T</i> ‌below 5&#xa0;°C‌ and peak sectional mean temperatures ≤&#xa0;34.3°C‌. This methodology provides a‌ critical ‌framework for temperature field calculations in long-span CFST arch bridges.</p>

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Three-dimensional temperature field analysis of CFST arch rib segment based on an improved shadow recognition algorithm

  • 期刊论文

  • 发表日期：

    2026年1月28日

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  • Lueqin Xu,
  • Menghan Kang,
  • Rui Wang,
  • Songmiao Tan,
  • Jianting Zhou

摘要

The structural performance of long-span concrete-filled steel tubular (CFST) arch bridges is significantly influenced by solar thermal effects. Due to the complex spatial arrangement of multiple arch rib members in such bridges, mutual shading among members critically affects the spatial temperature field distribution of the arch rib. This inter-component shading intensifies the nonlinear characteristics of temperature gradient distribution, making shadow recognition for the arch ribs a crucial aspect in three-dimensional temperature field analysis. To efficiently identify shadow distribution on CFST arch ribs and calculate solar-induced temperature fields, this study proposes a Rotating Coordinate System Method (RCSM) based on ray-tracing algorithms for solar shadow recognition, combined with a modified clear-sky model incorporating non-clear weather scenarios. Field experiments on a typical CFST arch rib segment were conducted to validate the accuracy of both methods. The proposed methodology was applied to analyze non-uniform three-dimensional temperature field distributions in CFST arch rib segments. Results demonstrate that integrating RCSM with the modified clear-sky model addresses excessive computational load and reduces invalid calculation ‌errors‌ in shadow recognition for CFST ‌arch ribs. Computational accuracy was further validated by experimental data under both clear-sky and overcast conditions. Specifically‌, when structural shading effects are considered, the maximum temperature difference (ΔT) among chord members reaches ‌19.5 °C‌ under clear-sky conditions, with a peak sectional mean temperature of ‌49.2 °C‌. In contrast, overcast conditions exhibit ΔT ‌below 5 °C‌ and peak sectional mean temperatures ≤ 34.3°C‌. This methodology provides a‌ critical ‌framework for temperature field calculations in long-span CFST arch bridges.