Study on the Mechanical Property and the Evolutionary Neural Network Constitutive Model for Limestone under Chemical Corrosive Environments |
| Journal |
Key Engineering Materials (Volumes 340 - 341) |
| Volume |
Engineering Plasticity and Its Applications |
| Pages |
1169-1174 |
| DOI |
10.4028/www.scientific.net/KEM.340-341.1169 |
| Online since |
June, 2007 |
| Authors |
Wu Xiu Ding,
Xia Ting Feng,
Bing Rui Chen
|
| Keywords |
Chemical Corrosion, Constitutive Model, Limestone, Mechanics Effect, Neural Network (NN), Triaxial Compressive Test |
| Abstract |
In this paper, the experimental study on the mechanical property of limestone under
triaxial compression with different hydrochemical environments is conducted and the non-linear
characteristics of complete stress-strain process of limestone subjected to chemical corrosion, are
analyzed. The behaviors of deformation and strength of limestone eroded by different chemical
solutions are obtained. It is known from the experimental and analytical results that different
chemical environments such as chemical composition, pH value etc can affect the mechanical
property of rock differently. How to establish a multifactor characteristic constitutive model which
can reflect different chemical environments is the key problem to study the coupling corrosion effect
of stress and chemistry of rock. The constitutive model of evolutionary neural network for rock under
chemical corrosive environments is put forward, and the neural network constitutive relationship
under stress-chemistry coupling corrosion is established by applying the theory of evolutionary
computation and neural network. The neural network constitutive model established in this presented
paper mainly takes into account the following three aspects: chemical environments of rock
specimens, content of main mineral compositions that are liable to being eroded by chemical solution,
and mechanical environments. The results are in good agreement with the experimental data. |
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