Forming limit diagrams by including the M–K model in finite element simulation considering the effect of bending

Habibi, Mostafa; Hashemi, Ramin; Ghazanfari, Amir; Naghdabadi, R.; Assempour, Ahmad

doi:10.1177/1464420716642258

Cited by 52 publications

(21 citation statements)

References 22 publications

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“…For this reason, the investigation of their mechanical characteristics is a great interest for engineering design and manufacturing. In the field reinforcement structures, Habibi et al [10][11][12][13][14] with the aid of some methods improved the mechanical property of macro-structures. Dong et al [15] presented an analytical study on linear and nonlinear vibration characteristics and dynamic responses of spinning FG graphene-reinforced thin cylindrical shells with various boundary conditions and subjected to a static axial load.…”

Section: Introductionmentioning

confidence: 99%

Wave propagation characteristics of the electrically GNP-reinforced nanocomposite cylindrical shell

Habibi

Mohammadgholiha

Safarpour

2019

J Braz. Soc. Mech. Sci. Eng.

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In this article, wave propagation characteristics of a size-dependent graphene nanoplatelet (GNP) reinforced composite cylindrical nanoshell coupled with piezoelectric actuator (PIAC) and surrounded with viscoelastic foundation is presented. The effects of small scale are analyzed based on nonlocal strain gradient theory (NSGT) which is an accurate theory employing exact length scale parameter and nonlocal constant. The governing equations of the GNP composite cylindrical nanoshell coupled with PIAC have been evolved using Hamilton's principle and solved with assistance of the analytical method. For the first time in the current study, wave propagation electrical behavior of a GNP composite cylindrical nanoshell coupled with PIAC based on NSGT is examined. The results show that, by decreasing the PIAC thickness, extremum values of phase velocity occur in the lower values of the wave number. Another important result is that, by increasing GPL%, the effects of PIAC thickness on the phase velocity decrease. Finally, influence of PIAC thickness, wave number, applied voltage, and different GPL distribution patterns on phase velocity is investigated using mentioned continuum mechanics theory. Useful suggestion of this research is that for designing of a nanostructure coupled with PIAC attention should be given to PIAC thickness and applied voltage, simultaneously. The outputs of the current study can be used in the structural health monitoring and ultrasonic inspection techniques.

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Section: Introductionmentioning

confidence: 99%

Wave propagation characteristics of the electrically GNP-reinforced nanocomposite cylindrical shell

Habibi

Mohammadgholiha

Safarpour

2019

J Braz. Soc. Mech. Sci. Eng.

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“…(3) Compared with the prediction results of BP, SVM, and ELM methods, the BA-ELM prediction method interprets the nonlinear relationship between residual gas content in coal seam and drilling cuttings indices more accurately and has a wider application prospect in prediction of the residual gas content in coal seam. (4) In the future study, the mechanical properties of different types of drilling tools [40][41][42][43][44] and their relationship with drilling cuttings indices will be studied. Meanwhile, advanced algorithms such as improved dolphin swarm [45,46] will be applied to further improve the prediction accuracy of residual gas content in coal seam.…”

Section: Discussionmentioning

confidence: 99%

Prediction of Residual Gas Content during Coal Roadway Tunneling Based on Drilling Cuttings Indices and BA‐ELM Algorithm

Yang

Hong-wei

Sheng

et al. 2020

Advances in Civil Engineering

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In order to predict the residual gas content in coal seam in front of roadway advancing face accurately and rapidly, an improved prediction method based on both drilling cuttings indices and bat algorithm optimizing extreme learning machine (BA-ELM) was proposed. The test indices of outburst prevention measures (drilling cuttings indices, residual gas content in coal seam) during roadway advancing in Yuecheng coal mine were first analyzed. Then, the correlation between drilling cuttings indices and residual gas content was established, as well as the neural network prediction model based on BA-ELM. Finally, the prediction result of the proposed method was compared with that of back-propagation (BP), support vector machine (SVM), and extreme learning machine (ELM) to verify the accuracy. The results show that the average absolute error, the average absolute percentage error, and the determination coefficient of the proposed prediction method of residual gas content in coal seam are 0.069, 0.012, and 0.981, respectively. This method has higher accuracy than other methods and can effectively reveal the nonlinear relationship between drilling cuttings indices and residual gas content. It has prospective application in the prediction of residual gas content in coal seam.

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“…7–12 In the field of improving the mechanical properties, enhancing the elastoplastic stability and instability of sheet metal are presented in some researches with the aid of experimental and finite element method. 1,13–26 Sun and Zhao 27 compared the fracture behavior of the functionally graded (FG) cemented carbide reinforced with and without the GPL. They claimed that the property of GPLs in the nanocomposites is worked as a stopper for micro cracks.…”

Section: Introductionmentioning

confidence: 99%

Frequency analysis of a graphene platelet–reinforced imperfect cylindrical panel covered with piezoelectric sensor and actuator

Jalali

Shavalipour

Safarpour

et al. 2020

The Journal of Strain Analysis for Engineering Design

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The main point of the current study is that the frequency analysis of a graphene platelets–reinforced composite (GPLRC) imperfect panel covered with piezoelectric sensor and actuator (PISA) based on the 3D elasticity theory is investigated. Rule of mixture is employed to obtain varying mass density and Poisson’s ratio, while module of elasticity is computed by modified Halpin-Tsai model. The governing equations are obtained using the 3D elasticity theory. By using Fourier series expansion along the longitudinal and latitudinal directions for the stress and displacement fields, a closed form solution is derived. The novelty of the current study is the consideration of the GPLRC panel and PISA, as well as imperfection are implemented on the proposed model using theory of 3D elasticity. Due to perfect bonding between piezoelectric layers and core the compatibility conditions are derived. Finally, influences of PISA thickness, graphene platelet (GPL) distribution pattern, porosity, span angle of panel, number of layers and GPL weight function on the dynamic stability of the GPLRC smart imperfect panel are presented. Another important consequence is that the sandwich panels with lower span angle have better natural frequency. In other words, to obtain desirable frequency response using structures which their shape is similar to GPLRC plate is more recommended than those resemble to GPLRC cylindrical shell.

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Forming limit diagrams by including the M–K model in finite element simulation considering the effect of bending

Cited by 52 publications

References 22 publications

Wave propagation characteristics of the electrically GNP-reinforced nanocomposite cylindrical shell

Wave propagation characteristics of the electrically GNP-reinforced nanocomposite cylindrical shell

Prediction of Residual Gas Content during Coal Roadway Tunneling Based on Drilling Cuttings Indices and BA‐ELM Algorithm

Frequency analysis of a graphene platelet–reinforced imperfect cylindrical panel covered with piezoelectric sensor and actuator

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