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- 저자 : Kasehchi, Ehsan (검색결과 2 건)
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Cao, Yan,Selmi, Abdellatif,Tohfenamarvar, Rasoul,Zandi, Yousef,Kasehchi, Ehsan,Assilzahed, Hamid Techno-Press 2021 Advances in nano research Vol.10 No.2
An analytical investigation has been performed on the mechanical performance of waves propagated in a Single-Layered Graphene Sheet (SLGS) when an In-plane Varying Bending (IVB) load is interacted. It has been supposed that the Graphene Sheet (GS) is located on an elastic medium. Employing a two-parameter elastic foundation, the effects of elastic substrate on the GS behavior are modeled. Besides, the kinematic equations are derived by the means of a trigonometric two-variable refined plate theory. Moreover, in order to indicate the size-dependency of the SLGS, a Nonlocal Strain Gradient Theory (NSGT) was considered. The nonlocal governing differential equations are achieved in the framework of Hamilton's Principle (HP). Also, an analytical approach was used to detect the unknowns of the final eigenvalue equation. Finally, the effects of each parameters using some dispersion charts were determined.
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Yanzhen, Qiao,Zandi, Yousef,Rahimi, Abouzar,Pourkhorshidi, Sara,Roco-Videla, Angel,Khadimallah, Mohamed Amin,Jameel, Mohammed,Kasehchi, Ehsan,Assilzadeh, Hamid Techno-Press 2021 Advances in nano research Vol.11 No.3
Taking into account the decreased number of available lands, the construction of structures on soft soil leads towards the development of soil stabilizing models. This study is aimed at studying the decrement of land resources available, and the design of civil engineering structures on soft soils that will develop the soil impact of nano-SiO<sub>2</sub> in the use of clay soil with low liquid limit, in particular shear resistance and unconfined compression. A novel nano-soil stabilizer has been created in this investigation by use of nano-SiO<sub>2</sub> activity and ultrafine features that have enabled cement-based stabilizers to increase their characteristics in broad application possibilities. This research aims to examine the influence on soil engineering, particularly the shear strength of clay soil with a low liquid limit to the effect of adding nano-SiO<sub>2</sub>. Nano-SiO<sub>2</sub> has 3 different percentages combined with soil (i.e., 0.5, 0.7 percent by weight of the parent soil), A direct shear test was used to evaluate the shear strength of the specimen, and then the results were analyzed by Artificial Neural Network (ANN) to increase the accuracy of outcomes. Increased nano-SiO<sub>2</sub> concentration was shown to lead to an increased internal friction angle and cohesiveness on clay soil. The optimal content for nano-SiO<sub>2</sub> is 0.7%. ANN could accurately demonstrate the shear strength percentages in nano-SiO<sub>2</sub> content.
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