摘要
传统桥梁结构设计高度依赖工程师经验,需反复调整结构布置,致使建模效率低且优化结果难以达到最优。为此,针对组合桥面系中承式钢箱拱桥提出了智能建模与优化方法。首先,提出了基于人机协同的结构智能建模方法:采用图层分析法提取初始条件图中拱肋、K撑、桥面系、桥梁墩台的定位及标高等关键信息;定义桥梁构部件的截面信息模块,结合读图信息进行空间信息推理,确定构部件的长度和空间坐标,制定单元和截面纤维划分准则并确定节点和单元编号,实现节点和单元的自动定义;定义边界条件模块;根据结构参数模块完成荷载输入和结构输出模块的定义,进而实现智能建模。基于参数化有限元模型,提出了结构智能优化方法。结合智能建模技术,传入参数生成有限元模型以计算伪目标函数,采用经典遗传算法、增强精英保留策略遗传算法和差分进化算法优化结构造价。结合实际工程案例验证了所提出的智能建模与优化方法,结果表明:所提出的智能建模方法仅需对初始条件图进行标记便可建立参数化有限元模型,极大地提高了建模效率和质量;相比于人工优化方法,采用所提出的优化方法可节省结构材料造价约37.9%,缩短优化周期约74%。
The conventional design process of bridge structures relies heavily on the experience of designers.The structural configuration proposal is repeatedly modified,resulting in low modelling efficiency.In addition,the optimal results are hard to achieve optimality.To this end,the intelligent modelling and optimization method of half-through steel box arch bridge with composite bridge deck system was proposed in this paper.First,the structural intelligent modelling method based on the human-computer collaboration was proposed.The automated layer classification method was adopted to extract the key information such as the arch rib,K brace,bridge deck system,and bridge pier abutment in the initial condition drawings.The cross-sectional information module of the bridge components was defined.The spatial information reasoning was conducted combined with the extracted information and the length and spatial coordinates of components were determined.The dividing criteria of elements and sectional fiber was established and the number of nodes and elements was determined,realizing the automatic definition of nodes and elements.The boundary condition module was defined.According to the structural parameter module,the load input module and structural output module were defined,realizing the intelligent modelling.Based on the parametric FE model,the structural intelligent optimization method was proposed.Parameters were input with combination of the intelligent modelling technology,forming the FE model to calculate the pseudo-objective function.The standard genetic algorithm,strengthen elitist genetic algorithm,and differential evolution algorithm were employed to optimize the structural cost.The proposed intelligent FE modelling and optimization method was verified with combination of the practical engineering case.The results indicate that the parametric FE model could be established by only marking the initial condition drawings using the proposed intelligent modelling method,which can significantly improve the modelling efficiency and quality.Compared with the manual structural optimization method,the cost of structural material is reduced by about 37.9%and the optimization period is reduced by about 74%using the proposed optimization method.
作者
许天祥
周绪红
刘界鹏
陈奉民
熊桂开
XU Tian-xiang;ZHOU Xu-hong;LIU Jie-peng;CHEN Feng-min;XIONGGui-kai(Key Laboratory of New Technology for Construction of Cities in Mountain Area,Ministry of Education,Chongqing University,Chongqing 400045,China;School of Civil Engineering,Chongqing University,Chongqing 400045,China;China Railway Changjiang Traffic Design Group Co.Ltd.,Chongqing 401121,China;Chongqing Academy of Surveying and Mapping,Chongqing 401121,China)
出处
《中国公路学报》
北大核心
2025年第6期36-47,共12页
China Journal of Highway and Transport
基金
国家自然科学基金重点项目(52130801)
中国博士后科学基金项目(2024M753843)。
关键词
桥梁工程
智能建模
智能优化
中承式钢拱桥
组合桥面系
bridge engineering
intelligent modelling
intelligent optimization
half-through steel arch bridge
composite bridge deck system
