期刊文献+

基于遗传算法的槽型钢-混组合梁优化设计 被引量:2

下载PDF
导出
摘要 槽型钢-混组合梁是当前应用较为广泛的一种桥结构形式。该研究以提升槽型钢-混组合梁设计效率为目标,采用创新的人工智能遗传算法,通过Python平台编译。该文针对钢-混组合梁进行全面优化,专注于13个关键截面设计参数,如钢板宽度与厚度、加劲肋个数、梁高等。通过合理选择遗传算法参数,实现快速、规范且经济的设计。研究创新之处在于将人工智能算法应用于桥梁设计,为设计工程师提供高效可靠的工具,显著提升设计效益。通过关键参数的优化,该文为槽型钢-混组合梁设计领域作出有益贡献,同时展示遗传算法在解决多目标、多参数工程优化问题中的显著便利。 The trough-steel composite beam stands as a widely employed structural form in current bridge engineering.This study endeavors to enhance the design efficiency of such composite beams,employing an innovative artificial intelligence genetic algorithm compiled on the Python platform.A comprehensive optimization of the box-girder reinforced concrete composite beam is conducted,focusing on 13 key cross-sectional design parameters,including steel plate width and thickness,number of transverse ribs,and beam height.Through judicious selection of genetic algorithm parameters,the study achieves a design that is rapid,standardized,and economical.The innovation lies in the application of artificial intelligence algorithms to bridge design,providing design engineers with an efficient and reliable tool,significantly elevating design efficiency.Through the optimization of key parameters,this paper contributes significantly to the field of trough-steel composite beam design,while also showcasing the substantial convenience of genetic algorithms in addressing multi-objective,multi-parameter engineering optimization problems.
作者 王祯伟
出处 《科技创新与应用》 2024年第14期41-45,共5页 Technology Innovation and Application
关键词 槽型钢-混组合梁 遗传算法 截面优化 遗传算法参数 多目标 trough-steel composite beam genetic algorithm section optimization genetic algorithm parameter multi-objective
  • 相关文献

参考文献5

二级参考文献20

共引文献66

同被引文献29

引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部