Source Journal of Chinese Scientific and Technical Papers
Included as T2 Level in the High-Quality Science and Technology Journals in the Field of Architectural Science
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Volume 55 Issue 11
Nov.  2025
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Article Contents
QIU Ziwen, LIU Caiwei, HU Jing, ZHAO Yuanyuan, MIAO Jijun, QI Lichang. Static and Dynamic Performance Analysis of Continuous Welded Stainless Steel Roofing System at Ambient Temperature[J]. INDUSTRIAL CONSTRUCTION, 2025, 55(11): 36-44. doi: 10.3724/j.gyjzG22110709
Citation: QIU Ziwen, LIU Caiwei, HU Jing, ZHAO Yuanyuan, MIAO Jijun, QI Lichang. Static and Dynamic Performance Analysis of Continuous Welded Stainless Steel Roofing System at Ambient Temperature[J]. INDUSTRIAL CONSTRUCTION, 2025, 55(11): 36-44. doi: 10.3724/j.gyjzG22110709

Static and Dynamic Performance Analysis of Continuous Welded Stainless Steel Roofing System at Ambient Temperature

doi: 10.3724/j.gyjzG22110709
  • Received Date: 2022-11-07
    Available Online: 2026-01-06
  • Publish Date: 2025-11-20
  • This study investigates the influence of ambient temperature on the static and dynamic properties of a continuously welded stainless steel roofing system. First, five specimens were designed and fabricated based on the system used in the terminal of Qingdao Jiaodong International Airport. Then, satic tests were conducted under cyclic temperatures, and dynamic tests under stable temperatures.Finally, ABAQUS software was used to establish a more accurate finite element model.According to the relevant basic theories, the initial model was modified using a Support Vector Machine (SVM) model optimized by the Moth-Flame Optimization (MFO) algorithm. Taking specimen WG5 as an example, a detailed comparison was made between the experimental and finite element analysis results. The results showed that the structural stress was positively correlated with temperature, exhibiting an approximately linear trend, while the structural frequency was negatively correlated, with a rate of change between 0.7% and 1.3%. After modifying the MFO-SVM model, the fundamental frequency error decreased from approximately 13% to less than 5%, and the error in the extreme stress between the numerical simulation and the measured results ranged from approximately 4% to 16%. This indicates that the modified model can better reflect the real structural response.
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