基于有限元分析与智能粒子群优化算法优化坡面框架支护梁截面设计  

Cross-Section Design Optimization of Support Frame Beam on Slope Based on Finite Element Analysis and Intelligent Particle Swarm Optimization Algorithm

作　　者：张搏翔 宿凇林 马文静 宿文姬[1] ZHANG Boxiang;SU Songlin;MA Wenjing;SU Wenji(School of Civil Engineering&Transportation,South China university of technology,Guangzhou 510641,China;Nanjing Tech University Pujiang Institute,Nanjing 211222,China)

机构地区：[1]华南理工大学土木与交通学院,广州510641 [2]南京工业大学浦江学院,南京211222

出　　处：《华南地震》2024年第4期134-141,共8页South China Journal of Seismology

基　　金：广东省自然资源厅科技项目(GDZRZYKJ2024008);国家级大学生创新项目(202410561152)联合资助。

摘　　要：将改进自适应惯性权重智能粒子群优化算法(PSO)与外点罚函数结合,以跨长为6 m承受均布荷载的钢筋混凝土坡面支护框架梁为例进行研究。利用FLAC-3D有限元模拟均布荷载下梁的受力情况。研究发现梁单元在跨中弯矩达到阈值100 kN·m时双筋梁造价相对单筋梁低;且保持外力不变时增大混凝土强度使全梁造价升高,而增大钢筋强度使造价下降;箍筋应在满足规范的要求下减小间距;文章还根据计算结果给出相应解释。In this paper,the improved adaptive inertia weighted intelligent particle swarm optimization(PSO)algo‐rithm was integrated with with the exterior penalty function to investigate the reinforced concrete support frame beam on a slope with a span length of 6 m subjected to uniform load.FLAC-3D finite element was used to simulate the stresses distribution in the beam subjected to uniform load.The results show that the cost of a double-reinforced beam is relatively lower than that of a single-reinforced beam when the mid-span bending momentreaches the thresh‐old value of 100 kN·m.When the external force is kept unchanged,increasing the strength of the concrete in‐creases the cost of the whole beam,while increasing the strength of the reinforcement decreases the cost.Stirrup spacing should be reduced in the arrangement while meeting the requirements.The pape also gives the correspond‐ing explanation according to the calculation results.

关 键 词：智能粒子群优化算法 网格搜索算法 自适应惯性权重 外点罚函数 

分 类 号：TU37[建筑科学—结构工程]