Journal of Food, Agriculture and Environment

Back analysis of high concrete arch dams’ general elastic modulus range

Author(s):

Dong Qin ^{1, 2} *, Xueqin Zheng ^{1, 2}, Hezhi Liu ^{1, 2}, Songlin Wang ^{1, 2} 

Recieved Date: 2012-10-12, Accepted Date: 2013-01-28

Abstract:

In this paper, according to the prototype observation data of the dam, the water pressure component is separated from the measured data using the statistical model, accurately extracting the dam displacement caused by water pressure. A high-precision three limited model was established for simulating dam and dam foundations overall force.  The dam displacement amount of different water level was calculated using the finite element simulation, retrieving the elastic modulus of every measure point of the whole dam blocks. Weight distribution of every measure point was considered. The weight distribution function of measured points can be calculated using projecting pursuit analysis method. From the view of information entropy, the probability density function was constructed according to the maximum entropy, and it can be solved by Lagrange multiplier method on the basis of the back analysis of point. The probability distribution of general elastic modulus of arch dam was constructed; selecting the confidence according to the dam service life, and then defining the data range of the general elastic modulus of the dam as a whole the interval back analysis method was put forward as well. The general elastic modulus of the whole dam calculated by this method is consistent with the drilling test value of project site. This method considers the overall structural performance of the dam, mines the efficient information of dam space and understands the concrete work behavior accurately, avoiding the error of inversion of single points and partition, which offers the important theoretical and practical value for the dam safety operation. 

Keywords:

Elastic modulus, information entropy, maximum entropy theory, interval inversion

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Journal: Journal of Food, Agriculture and Environment
Year: 2013
Volume: 11
Issue: 1
Category: Environment
Pages: 1182-1186

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