Finite element prediction
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This paper investigates flexural behavior and analytical approach for predicting the load and deflection at critical performance points of reinforced concrete (RC) beams strengthened with prestressed carbon fiber-reinforced polymer (CFRP) sheets. A finite element model is developed to simulate the interaction between the RC beam and the CFRP sheets, capturing key aspects such as failure modes, ultimate load, and mechanical behavior across the three phases of failure.
7p 
vibenya
31-12-2024
0
0
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In this paper, buckling behavior of aluminum cylindrical shell with rectangular cutout, subjected to axial pressure was studied by means of finite element simulations. The effects of geometric parameters (R, t, a, b and L) on the first buckling mode capacity of the shell were studied.
12p tohitohi
19-05-2020
11
1
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The interphase is a region between fibers and a matrix, which has different properties from the matrix and the fibers, but is dependent on them. Considering the interphase region has a significant effect on the accuracy of obtained residual stresses.
10p tohitohi
19-05-2020
12
0
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There are literally several studies accomplished to predict the fatigue life of leaf springs but estimation of fatigue life of a parabolic leaf spring by using CAE tools has not yet been executed in the past. Parabolic spring is an important component in a vehicle suspension system.
10p tohitohi
19-05-2020
25
1
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This paper presents an approach of linking finite element method with artificial neural network to predict J-Integral parameter in desirable airfoil condition. Finite Element (FE) and Artificial Neural Network (ANN) have been employed for the purpose.
8p tohitohi
19-05-2020
5
0
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In this paper, an extended forming limit stress diagram (EFLSD) was applied to predict neck initiation failure in tube hydroforming of metal bellows. The proposed EFLSD was used in conjunction with ABAQUS/ EXPLICIT finite element simulations to predict the onset of necking in tube hydroforming of metal bellows.
10p tohitohi
19-05-2020
19
1
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(BQ) This paper reports an intelligent approach for process modeling and optimization of electric discharge machining (EDM). Physics based process modeling using finite element method (FEM) has been integrated with the soft computing techniques like artificial neural networks (ANN) and genetic algorithm (GA) to improve prediction accuracy of the model with less dependency on the experimental data.
13p xuanphuongdhts
27-03-2017
57
2
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Tuyển tập các báo cáo nghiên cứu về lâm nghiệp được đăng trên tạp chí lâm nghiệp quốc tế đề tài: Predicting oak wood properties using X-ray inspection: representation, homogenisation and localisation. Part I: Digital X-ray imaging and representation by finite elements...
10p toshiba6
05-10-2011
37
2
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