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机构地区:[1]河海大学水利水电工程学院,江苏南京210098
出 处:《水电能源科学》2008年第5期96-100,共5页Water Resources and Power
基 金:国家自然科学基金资助项目(50539010;50539110;50539030;50809025);国家科技支撑计划基金资助项目(20006BAC14BO3)
摘 要:以某拱坝为例,基于实测资料,采用逐步回归模型得出坝下游面两条再生裂缝对坝顶位移的影响,建立了有限元数值仿真模型,比较分析得到了裂缝开度与坝顶水平位移间的关系。采用混沌优化模糊神经网络对短期内的坝顶水平位移进行预测,精度较高。the development and evolution of cracks directly affect dam stability, integrity and safety. The existence of horizontal cracks which distribute widely on downstream face in a great extent weaken the function of beam in arch dam; therefore, the cracks have obvious effect on dam deformation. In this paper, taking some gravity arch dam for example, based on measured data, the influence degree of two regenerated eracks on downstream face to dam crest horizontal displacement is obtained using stepwise regression model. Finite element numerical simulation model of this dam is built, the relationship between crack opening and dam crest horizontal displacement is gained by analysis and comparison. Shortterm dam crest horizontal displacement is forecasted by fuzzy neural network based on chaotic optimization, the prediction accuracy is high.
关 键 词:大坝安全 裂缝 变形 有限元 混沌模糊神经网络模型
分 类 号:TV641.31[水利工程—水利水电工程] TV698.11
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