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考虑渐进灾变特性的高拱坝变形性态诊断方法

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针对高拱坝变形性态诊断已有方法的局限性,考虑变形失稳过程的渐进灾变特性,结合现代坝工学、力学和数学理论,提出了一种新的诊断方法.该方法在表征水压、温变和时效变形的基础上标定高拱坝的弹性变形状态,借助信息熵理论建立个体诊断指标,依据投影寻踪法优化获取个体贡献度,据此构建群体诊断指标,并基于典型小概率原理拟定诊断控制值,提出了群体正常、群体基本正常、个体异常、群体异常、群体恶化的诊断准则.工程实例检验结果表明,该方法有效地刻画了渐进灾变过程,适用于尚未遭遇最不利荷载的情况.
Diagnosis method of deformation behavior of high arch dams considering progressive failure characteristics
To overcome the limitations of existing methods for diagnosing the deformation state of high arch dams,a new diagnosis method was proposed considering the progressive failure characteristics of the deformation instability process.The method combines modern dam engineering,mechanics and mathematical theories.The elastic deformation state of high arch dams was calibrated based on the characterization of water pressure,temperature change,and time-dependent deformation.The individual diagnostic index was established using the information entropy theory.According to the projection pursuit method,the individual contributions were optimally achieved,and then the group diagnostic index was built.The diagnostic control values were constructed based on the typical small probability principle.On this basis,the diagnostic criteria of group normality,group basically normality,individual abnormality,group abnormality,and group deterioration were developed.Engineering example results indicate that the established method can effectively characterize the progressive failure process,and it is applicable to the situation that the most unfavorable load has not been encountered yet.

high arch damdeformation behavior diagnosisprogressive failure characteristicsinformation entropytypical small probability principle

杨光、赵阿辉、吴邦彬、黄振栋、左良育、陈光煜、李宗儒

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华北水利水电大学水利学院,河南郑州 450046

河海大学水灾害防御全国重点实验室,江苏南京 210098

南昌工程学院水利与生态工程学院,江西南昌 330099

高拱坝 变形性态诊断 渐进灾变特性 信息熵 典型小概率原理

国家自然科学基金项目水灾害防御全国重点实验室开放基金项目

521091552019492211

2024

水利水电科技进展
河海大学

水利水电科技进展

CSTPCD北大核心
影响因子:0.866
ISSN:1006-7647
年,卷(期):2024.44(2)
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