Study on the mechanical property and the evolutionary neural network constitutive model for limestone under chemical corrosive environments
Feng, Xiating2,3; Ding, Wuxiu1,2; Chen, Bingrui2
2007
会议日期SEP 25-29, 2006
会议地点Nagoya Univ, Nagoya, JAPAN
关键词triaxial compressive test chemical corrosion mechanics effect constitutive model neural network limestone
DOI10.4028/www.scientific.net/KEM.340-341.1169
页码1169
英文摘要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.
会议录ENGINEERING PLASTICITY AND ITS APPLICATIONS FROM NANOSCALE TO MACROSCALE, PTS 1 AND 2
会议录出版者TRANS TECH PUBLICATIONS LTD
会议录出版地DURNTEN-ZURICH
语种英语
WOS研究方向Science & Technology - Other Topics ; Materials Science ; Metallurgy & Metallurgical Engineering
WOS记录号WOS:000246642100188
内容类型会议论文
源URL[http://119.78.100.198/handle/2S6PX9GI/4448]  
专题岩土力学所知识全产出_会议论文
岩土力学所知识全产出
作者单位1.Luoyang Univ, Sch Civil Engn;
2.Northeastern Univ, Sch Resources & Civil Engn;
3.Chinese Acad Sci, Inst Rock & Soil Mech
推荐引用方式
GB/T 7714
Feng, Xiating,Ding, Wuxiu,Chen, Bingrui. Study on the mechanical property and the evolutionary neural network constitutive model for limestone under chemical corrosive environments[C]. 见:. Nagoya Univ, Nagoya, JAPAN. SEP 25-29, 2006.
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