Title :
Notice of Retraction
Triaxial compressive experiment of failure complete process of sandstone corroded by chemical solution and the evolutionary neural network constitutive model
Author :
Ding Wuxiu ; Chen Bingrui
Author_Institution :
Dept. of Civil Eng., Luoyang Inst. of Sci. & Technol., Luoyang, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
The triaxial compressive tests for sandstone specimens corroded by different chemical solutions are concudted and their complete stress-strain processes are obtained. The characteristics of chemical corrosion effect on various stages of the complete stress-strain curve are analyzed. The law of the deformation and strength of sandstone corroded by different chemical solutions is obtained. The evolutionary neural network constitutive model is established to describe the stress-strain relationship of specimen by applying the theory of evolutionary computation and neural network. It is indicated that the evolutionary neural network constitutive model can better describe the mapping relationship between stress and strain of rockmass under chemical corrosion environments. The predicted results are in good agreement with the experimental results.
Keywords :
chemical engineering computing; compressive testing; corrosion; evolutionary computation; failure analysis; neural nets; rocks; stress-strain relations; chemical corrosion effect; chemical solutions; evolutionary computation; failure complete process; neural network; sandstone specimen corrosion; stress-strain curve; triaxial compressive tests; Capacitive sensors; Chemical analysis; Chemical engineering; Chemical processes; Chemical technology; Compressive stress; Corrosion; Neural networks; Soil; Testing; chemical corrosion; evolutionary neural network constitutive model; failure complete process; sandstone; triaxial compressive test;
Conference_Titel :
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6347-3
DOI :
10.1109/ICCET.2010.5485933
