Scholarlink

<p>To address the challenges posed by numerous design parameters and the complexity of optimization calculations in epoxy asphalt concrete (EAM) orthotropic steel bridge deck (OSD), this study employs the response surface methodology (RSM) for comprehensive structural and material parameter optimization. Dynamic modulus tests were conducted to assess the mechanical properties of EAM under various frequencies and temperatures. A finite element model was developed to analyze the stress distribution and identify critical damage zones within the pavement. The results revealed that the most critical mechanical response of the OSD pavement occurred near transverse diaphragms and their central regions. Additionally, it was found that increasing steel deck thickness, pavementhanical thickness, and epoxy content significantly improves pavement stress conditions. A second-order regression model was established to predict the mechanical response of the pavement. Three-dimensional response surfaces were generated to explore the interaction effects of structural parameters on pavement performance. Correlation and variance analyses confirmed the statistical significance and predictive accuracy of the regression model, demonstrating its applicability for predictive analysis of target response. Under the principle of relatively low structure weight, while ensuring pavement performance safety, the optimal structural parameters were determined. These parameters include a steel deck thickness of no less than 15&#xa0;mm, an upper pavement thickness of 15&#xa0;mm, a lower pavement thickness of 40&#xa0;mm, and an epoxy content of 45%. The methodology developed in this study integrates the effects of different structural parameters and multiple optimization objectives according to the practical requirements, thereby enabling efficient simplification of the optimization design process for OSD systems.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Multi-Objective Optimization of Epoxy Asphalt Concrete Orthotropic Steel Bridge Deck Systems with Response Surface Methodology

  • 期刊论文

  • 发表日期：

    2025年12月23日

查看全文
  • Xiujie Jiang,
  • Wei Huang,
  • Sang Luo,
  • Weiyi Kong,
  • Kaijun Du

摘要

To address the challenges posed by numerous design parameters and the complexity of optimization calculations in epoxy asphalt concrete (EAM) orthotropic steel bridge deck (OSD), this study employs the response surface methodology (RSM) for comprehensive structural and material parameter optimization. Dynamic modulus tests were conducted to assess the mechanical properties of EAM under various frequencies and temperatures. A finite element model was developed to analyze the stress distribution and identify critical damage zones within the pavement. The results revealed that the most critical mechanical response of the OSD pavement occurred near transverse diaphragms and their central regions. Additionally, it was found that increasing steel deck thickness, pavementhanical thickness, and epoxy content significantly improves pavement stress conditions. A second-order regression model was established to predict the mechanical response of the pavement. Three-dimensional response surfaces were generated to explore the interaction effects of structural parameters on pavement performance. Correlation and variance analyses confirmed the statistical significance and predictive accuracy of the regression model, demonstrating its applicability for predictive analysis of target response. Under the principle of relatively low structure weight, while ensuring pavement performance safety, the optimal structural parameters were determined. These parameters include a steel deck thickness of no less than 15 mm, an upper pavement thickness of 15 mm, a lower pavement thickness of 40 mm, and an epoxy content of 45%. The methodology developed in this study integrates the effects of different structural parameters and multiple optimization objectives according to the practical requirements, thereby enabling efficient simplification of the optimization design process for OSD systems.