长江科学院院报 ›› 2018, Vol. 35 ›› Issue (7): 136-140.DOI: 10.11988/ckyyb.20170169

• 水工结构与材料 • 上一篇    下一篇

利用多测点混合模型对混凝土坝受冻区坝体弹性模量的反演

王建, 王甜, 徐文鹏, 彭泽豹   

  1. 河海大学 水利水电学院,南京 210098
  • 收稿日期:2017-02-22 出版日期:2018-07-01 发布日期:2018-07-12
  • 作者简介:王 建(1975-),男,江苏南通人,教授,博士,博士生导师,主要从事水工建筑物安全监控研究。E-mil:wang_jian@hhu.edu.cn

A Multipoint Hybrid Model to Invert the Elasticity Modulus of Frost Damage Zone of Concrete Dam

WANG Jian, WANG Tian, XU Wen-peng, PENG Ze-bao   

  1. College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China
  • Received:2017-02-22 Online:2018-07-01 Published:2018-07-12

摘要: 位于严寒地区的混凝土坝,由于没有及时做好保温措施,甚至某些早期建造的大坝由于施工条件的限制导致其在浇筑过程中受冻,坝体的参数会受到影响。通过改进一般的单测点混合模型,采用约束弹性模量调整系数范围的优化算法进行拟合计算,选取测量精度较高的测点建立多测点联合反演受冻区弹性模量模型。以某混凝土重力坝为例对坝体受冻区弹性模量进行反演,得到的多测点混合模型拟合的复相关系数在0.98以上,与单测点混合模型反演结果相差不大,验证了方法的合理性。结果证明采用多测点混合模型联合反演法反演大坝受冻区参数是可行的。研究结果可为评价严寒地区大坝坝体受冻区域混凝土强度提供依据。

关键词: 受冻区混凝土, 弹性模量, 多测点混合模型, 线性约束优化算法, 保温措施, 联合反演

Abstract: Concrete dams in cold regions with overdue heat preservation maintaining measures, or with poor construction conditions, would possibly suffer from frost damage during concrete construction, thus bring about changes to parameters of the dam. A multipoint hybrid model is established to invert the modulus of elasticity of frost damage concrete dam by improving ordinary single-point hybrid model. Linearly constrained optimization algorithm is employed to constrain the range of elastic modulus adjustment coefficient for the fitting calculation, and some measuring points with high precision are selected for the model. According to case study result of a concrete gravity dam, the multiple correlation coefficients of the multipoint hybrid model is above 0.98, barely different from the result of single-point hybrid model. The conclusions suggest that the proposed multipoint hybrid model is feasible in the back analysis of parameters of frost damage concrete dam.

Key words: frost damage concrete, elasticity modulus, multipoint hybrid model, linearly constrained optimization algorithm, heat preservation measure, joint inversion

中图分类号: