A stress calculation model for the 3D borehole slotter

1999 ◽  
Vol 36 (4) ◽  
pp. 493-508 ◽  
Author(s):  
R. Corthésy ◽  
Guang He ◽  
D.E. Gill ◽  
M.H. Leite
2019 ◽  
Vol 15 (2) ◽  
pp. 523-536
Author(s):  
Jinliang Liu ◽  
Yanmin Jia ◽  
Guanhua Zhang ◽  
Jiawei Wang

Purpose The calculation of the crack width is necessary for the design of prestressed concrete (PC) members. The purpose of this paper is to develop a numerical model based on the bond-slip theory to calculate the crack width in PC beams. Design/methodology/approach Stress calculation method for common reinforcement after beam crack has occurred depends on the difference in the bonding performance between prestressed reinforcement and common reinforcement. A numerical calculation model for determining the crack width in PC beams is developed based on the bond-slip theory, and verified using experimental data. The calculation values obtained by the proposed numerical model and code formulas are compared, and the applicability of the numerical model is evaluated. Findings The theoretical analysis and experimental results verified that the crack width of PC members calculated based on the bond-slip theory in this study is reasonable. Furthermore, the stress calculation method for the common reinforcement is verified. Compared with the model calculation results obtained in this study, the results obtained from code formulas are more conservative. Originality/value The numerical calculation model for crack width proposed in this study can be used by engineers as a reference for calculating the crack width in PC beams to ensure the durability of the PC member.


2019 ◽  
Vol 26 (4) ◽  
pp. 1055-1065
Author(s):  
Min Jin ◽  
Md Rasedul Islam ◽  
Liu Li ◽  
Mohammad Habibur Rahman

2013 ◽  
Vol 275-277 ◽  
pp. 332-335
Author(s):  
Wan Chun Zhao ◽  
Ting Ting Wang ◽  
Jing Bo Zhang ◽  
Wei Wei Yuan

To precisely describe the fracture opening and extending during the process of refracturing, in this paper the actual mechanical characteristics of the reservoir before the refracturing has been considered, according to the principle of conservation of energy, the calculation model of the damage stress of the rock around the borehole before the refracturing has been established, and at the same time the calculation model of the fracture veer has been established , then the well A in Jilin Oilfield has been chosen to calculate and analyze, the calculation results demonstrate that the corrigendum between the actual results and the calculation results is 0.2%, which are very anastomosing.


2014 ◽  
Vol 996 ◽  
pp. 355-360
Author(s):  
Kai Liao ◽  
Li Jun Li ◽  
Yun Xin Wu ◽  
Hai Gong

Layer removal method is an experiment method which is used to calculate the average stress indirectly by deformation of the specimen. However, in the experiment, some certain predeformation can be caused after each clamping, which can affect the accuracy of the test data, and make the deformation data larger. Based on the comparison of the simulation calculation, this paper builds an amended function by fitting the deformation error, which solves the deviation caused by larger deformation on stress calculation while the specimen is milled by layer, that is to say, the stress calculation model can be compensated by this function. This method can make the experimental calculation model more accurate.


2018 ◽  
Vol 106 (6) ◽  
pp. 603 ◽  
Author(s):  
Bendaoud Mebarek ◽  
Mourad Keddam

In this paper, we develop a boronizing process simulation model based on fuzzy neural network (FNN) approach for estimating the thickness of the FeB and Fe2B layers. The model represents a synthesis of two artificial intelligence techniques; the fuzzy logic and the neural network. Characteristics of the fuzzy neural network approach for the modelling of boronizing process are presented in this study. In order to validate the results of our calculation model, we have used the learning base of experimental data of the powder-pack boronizing of Fe-15Cr alloy in the temperature range from 800 to 1050 °C and for a treatment time ranging from 0.5 to 12 h. The obtained results show that it is possible to estimate the influence of different process parameters. Comparing the results obtained by the artificial neural network to experimental data, the average error generated from the fuzzy neural network was 3% for the FeB layer and 3.5% for the Fe2B layer. The results obtained from the fuzzy neural network approach are in agreement with the experimental data. Finally, the utilization of fuzzy neural network approach is well adapted for the boronizing kinetics of Fe-15Cr alloy.


2011 ◽  
Vol 131 (12) ◽  
pp. 1017-1023 ◽  
Author(s):  
Norihito Yanagita ◽  
Tatsuro Kato ◽  
Toshiaki Rokunohe ◽  
Takeshi Iwata ◽  
Hiroki Kojima ◽  
...  

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