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基于桩-土相互作用的内河架空直立式码头地震响应分析
引用本文:周世良,吴飞桥,李怡.基于桩-土相互作用的内河架空直立式码头地震响应分析[J].水道港口,2010,31(5):390-394.
作者姓名:周世良  吴飞桥  李怡
作者单位:1. 重庆交通大学河海学院,重庆,400074
2. 长江航运规划设计院,武汉,430030
基金项目:教育部科学技术研究重点项目,重庆市教委科技项目 
摘    要:采用有限元法,分别建立桩-土-码头结构模型、地基刚性假定的码头模型和工程计算简化的码头模型。通过模态分析和动力时程分析,得出3种码头模型的基频和水平位移最大值,以及码头立柱内力的最大响应值。研究表明:与地基刚性假定模型相比,由桩-土-码头结构模型所得的结构基频、水平位移最大值、立柱的剪力和弯矩值将会减小,轴力值基本不受影响;与工程计算简化模型相比,结构的基频、立柱的剪力和弯矩值将增大,但是水平位移最大值将减小,轴力值基本不变。

关 键 词:码头结构模型  模态分析  动力时程分析  抗震性能

Seismic response analysis of inland river suspended vertical wharf based on pile-soil interaction
ZHOU Shi-liang,WU Fei-qiao,LI Yi.Seismic response analysis of inland river suspended vertical wharf based on pile-soil interaction[J].Journal of Waterway and Harbour,2010,31(5):390-394.
Authors:ZHOU Shi-liang  WU Fei-qiao  LI Yi
Institution:1. College of River and Ocean Engineering,Chongqing Jiaotong University,Chongqing 400074,China; 2. Changjiang Planning and Design Institute for shipping,Wuhan 430030,China)
Abstract:Three structural models of wharf structure using finite element method,i.e.,a pile-soil-structure interaction model,a model based on stiff foundation,and a model based on the fixity point of piles were analyzed in this paper.Through modal analysis and time history analysis,fundamental frequencies,maximum horizontal displacements,and maximum responses of the inner forces of column were obtained.The results show that, compared with the model based on stiff foundation,the pile-soil-structure interaction model leads to lower fundamental frequencies,maximum horizontal displacements,as well as shears and bending moments of column, but axial loads of column are almost identical between both models.Compared with the model based on the fixity point of piles,the pile-soil-structure interaction model leads to higher fundamental frequencies,higher shears and bending moments of column,and lower maximum horizontal displacements;axial loads of column are almost identical between both models.
Keywords:wharf structure model  modal analysis  time history analysis  seismic behavior
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