4.5 Article

Nonlinear pyrocoupled deflection of viscoelastic sandwich shell with CNT reinforced magneto-electro-elastic facing subjected to electromagnetic loads in thermal environment

期刊

EUROPEAN PHYSICAL JOURNAL PLUS
卷 136, 期 8, 页码 -

出版社

SPRINGER HEIDELBERG
DOI: 10.1140/epjp/s13360-021-01751-y

关键词

-

向作者/读者索取更多资源

The study proposes a finite element-based numerical formulation to evaluate the nonlinear deflections of multifunctional sandwich composite shells, considering factors such as shell geometry, material properties, and temperature effects. The results of the research are believed to be unique and may serve as a guide for designing sophisticated smart structures for various engineering applications.
The current work puts forward a finite element (FE)-based numerical formulation to evaluate the nonlinear deflections of multifunctional sandwich composite (MSC) shells. These shells possess a viscoelastic core, and face sheets made of functionally graded carbon nanotube-reinforced magneto-electro-elastic (FG-CNTMEE) materials. The viscoelastic core is considered to be temperature-dependent and is modelled via the complex modulus approach. Two different forms of viscoelastic cores, such as Dyad 606 and EC 2216, are considered in this study. The shell kinematics is realized with the aid of the higher-order shear deformation theory (HSDT). Furthermore, Donnell's nonlinear strain displacement relations are incorporated to account for the nonlinear behaviour. The total potential energy principle is utilized to get the global equations of motion which are solved using direct iterative method. Predominant emphasis is also placed to assess the impact of pyroeffects, coupling fields and electromagnetic (EM) boundary restrictions on the nonlinear deflections of MSC shells working in the thermal environment and subjected to EM loads, which is first of its kind. Also, parametric studies dealing with the shell geometries, CNT distributions and volume fractions, core-to-face sheet thickness ratio, aspect ratio, curvature ratio has been discussed in detail. The results of this work are believed to be unique and serve as a guide for the design engineers towards developing sophisticated smart structures for various engineering applications.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Materials Science, Multidisciplinary

Post-buckling and vibration analysis of randomly distributed CNT reinforced fibre composite plates under localised heating

Sumeet Chakraborty, Tanish Dey, Vinyas Mahesh, DineshKumar Harursampath

Summary: This study investigates the stability and vibration characteristics of randomly distributed carbon nanotube reinforced fiber composites under localized heating. Various methods and equations are used to determine the material properties and analyze the influence of different parameters on the composites.

MECHANICS OF ADVANCED MATERIALS AND STRUCTURES (2023)

Article Materials Science, Textiles

Harnessing of Waste Rubber Crumb and Development of Sustainable Hybrid Composite Using Kenaf (Hibiscus cannabinus) for Structural Applications

Vishwas Mahesh, Vinyas Mahesh

Summary: This study aims to explore the potential application of rubber crumb in polymer matrix composites for structural purposes. The results show that the addition of rubber crumb can reduce water absorption and improve tensile, flexural, and impact strength. The VIKOR technique successfully identifies the optimum weight percentage of rubber crumb for the proposed composites.

JOURNAL OF NATURAL FIBERS (2023)

Article Engineering, Multidisciplinary

An inhomogeneous stabilized node-based smoothed radial point interpolation method for the multi-physics coupling responses of functionally graded magneto-electro-elastic structures

Liming Zhou, Fangting Qu, Shuhui Ren, Vinyas Mahesh

Summary: In this paper, an inhomogeneous stabilized node-based smoothed radial point interpolation method (ISNS-RPIM) is proposed to analyze functionally graded magneto-electro-elastic (FGMEE) structures in hygrothermal environment. The method combines gradient smoothing technique (GST), coupling constitutive relationship, and takes into account the hygrothermo-magneto-electro-elastic (HMEE) coupling effects. Numerical examples are provided to validate the effectiveness and robustness of the proposed method. The results show that ISNS-RPIM has great potential in solving practical complex problems.

ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS (2023)

Article Mechanics

Thermo-mechanical large deformation characteristics of cutout borne multilayered curved structure: Numerical prediction and experimental validation

Hukum Chand Dewangan, Subrata Kumar Panda, Nitin Sharma, Samy Refahy Mahmoud, Dineshkumar Harursampath, Vinyas Mahesh

Summary: This work presents a numerical modeling study on the static large-deformation behavior of multilayered flat/curved panels with cutouts under thermo-mechanical load. The numerical model incorporates third order displacement polynomials and two nonlinear strains (Green-Lagrange and von-Karman) to capture the large-deformation characteristic of the panel. The governing equation is formulated using Hamilton's principle and solved using the selective integration scheme and Picard's direct iterative method.

INTERNATIONAL JOURNAL OF NON-LINEAR MECHANICS (2023)

Article Materials Science, Composites

ANN based prediction of the absorption characteristics of additive manufactured glycol-modified polyethylene terephthalate nanocomposites reinforced with short-carbon fibers and nanoclay fillers

Vinyas Mahesh

Summary: In this research, an ANN-based data driven technique is proposed to evaluate the absorption characteristics of PETG nanocomposites reinforced with SCFs and OMMT nanoclay fillers. Different variants of PETG nanocomposites are prepared and the absorption behavior is experimentally studied. The results suggest that the absorption characteristics are significantly affected by the reinforcements and can aid in designing PETG nanocomposites with desired properties.

POLYMER COMPOSITES (2023)

Article Materials Science, Multidisciplinary

Machine learning assisted nonlinear deflection analysis of agglomerated carbon nanotube core smart sandwich plate with three-phase magneto-electro-elastic skin

Vinyas Mahesh

Summary: This research evaluates the combined effects of interphase and carbon nanotube agglomeration on the nonlinear deflection of a sandwich plate using an artificial neural network assisted finite-element approach. The data points collected from a developed computational tool are used to train the neural network model. The plate consists of agglomerated carbon nanotubes and three-phase magneto-electro-elastic composites. Different agglomeration states and carbon nanotube arrangements are considered, and interphase effects are incorporated through volume fractions and compositions. The numerical examples demonstrate the influence of coupling fields on the parameters.

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART L-JOURNAL OF MATERIALS-DESIGN AND APPLICATIONS (2023)

Article Engineering, Civil

Hybrid control of laminated FG-CNTRC shell structures using an advanced smoothed finite element approach based on zig-zag theory

Duy-Khuong Ly, Vinyas Mahesh, Chanachai Thongchom, T. Nguyen-Thoi

Summary: This study proposes an advanced cell-based smoothed discrete shear gap method (CS-DSG3) using zig-zag theory integrated with a hybrid control mechanism for analysis of smart damping control of laminated functionally graded carbon nanotube reinforced composite (FG-CNTRC) shell structures. The study successfully combines CS-DSG3 with zig-zag theory to provide an effective global-local numerical approach for analyzing the behavior of laminated FG-CNTRC shell structures.

THIN-WALLED STRUCTURES (2023)

Article Engineering, Civil

On analysing vibration energy harvester with auxetic core and magneto-electro-elastic facings

Kanav Chadha, Vinyas Mahesh, Arjun Siddharth Mangalasseri, Vishwas Mahesh

Summary: This article introduces a lightweight vibration-based energy harvester (EH) constituted of multifunctional magneto-electro-elastic (MEE) facesheets and auxetic metamaterial core (AMC). The use of the auxetic core enhances the EH's performance, resulting in an almost 1.5 times higher power output compared to conventional metal-based energy harvesters. The auxetic-based EH also achieves a 22% weight reduction for the same power output. This research contributes to the utilization of multifunctional composites and metamaterials in complex engineering applications.

THIN-WALLED STRUCTURES (2023)

Article Mechanics

Nonlinear active control of thermally induced pyro-coupled vibrations in porous-agglomerated CNT core sandwich plate with magneto-piezo-elastic facings

Vinyas Mahesh, Vishwas Mahesh, Sathiskumar Anusuya Ponnusami

Summary: In this article, the authors numerically investigate the damped nonlinear transient response of a smart sandwich plate subjected to the thermal environment. The study focuses on the synergistic influence of agglomeration, porosity, and pyro-coupling on vibration control. The results show significant effects of pyro-coupling on the active vibration control response of the sandwich plate.

ACTA MECHANICA (2023)

Article Mechanics

Nonlinear frequencies of porous functionally graded piezo-elasto-magneto plates with non-uniform thickness: a hybrid FEM-ANN predictive approach

Vinyas Mahesh

Summary: This article proposes a hybrid method integrating finite element methods and artificial neural network models to predict the coupled nonlinear frequency response of porous functionally graded piezo-elasto-magnetic plates with non-uniform geometries. This approach significantly reduces computational efforts while maintaining considerable accuracy.

ACTA MECHANICA (2023)

Article Mechanics

Artificial neural network (ANN) based investigation on the static behaviour of piezo-magneto-thermo-elastic nanocomposite sandwich plate with CNT agglomeration and porosity

Vinyas Mahesh

Summary: In this article, a novel finite element method - artificial neural network approach is used to study the coupled static parameters of a smart sandwich plate with agglomerated Carbon Nanotubes porous nanocomposite core and piezo-magneto-thermo-electric facings. The effects of CNTs agglomeration, porosity, and pyro-coupling of the PMTE materials are investigated. Data collected from a Finite Element computational tool are used to train the ANN model. Different agglomeration states and forms of porosity are considered for investigation. Numerical examples are solved to understand the interrelated effects of these material properties on the static parameters.

INTERNATIONAL JOURNAL OF NON-LINEAR MECHANICS (2023)

Article Mechanics

Effective Mechanical Properties of Auxetic Materials: Numerical Predictions Using Variational Asymptotic Method Based Homogenization

Chetna Srivastava, Vinyas Mahesh, Pandi Pitchai, P. J. Guruprasad, Nik Petrinic, Fabrizio Scarpa, Dineshkumar Harursampath, Sathiskumar A. Ponnusami

Summary: The variational asymptotic method (VAM) is used to determine the equivalent elastic stiffness tensor of auxetic materials for the first time. The VAM allows rotational degrees-of-freedom of the structural elements without any assumptions. The homogenized response of the unit cells is fully anisotropic, with specific possible responses of orthotropy or transverse isotropy depending on the arrangement of structural elements. The predictions of the VAM-based method are validated using commercial finite element software and open literature, demonstrating its versatility and computational efficiency in describing auxetic metamaterials.

JOURNAL OF APPLIED MECHANICS-TRANSACTIONS OF THE ASME (2023)

Article Materials Science, Composites

Evaluating energy absorption of sustainable rubber crumb/kenaf composites through artificial neural network strategies for low-velocity impact loads

Vishwas Mahesh, Vinyas Mahesh, Dineshkumar Harursampath

Summary: This study utilized Artificial Neural Network (ANN) strategies to evaluate the energy absorption capabilities of eco-friendly rubber crumb/kenaf composites under low-velocity impact loads. Experimental tests and ANN models were employed to predict the energy absorption behavior of these sustainable composites. The results showed that the composite's energy absorption capabilities were influenced by the ratio of rubber crumb to kenaf and the impact velocity.

POLYMER COMPOSITES (2023)

Article Engineering, Chemical

Thermal characterization of 3D printable multifunctional graphene-reinforced polyethylene terephthalate glycol (PETG) composite filaments enabled for smart structural applications

Surjeet Singh Bedi, Vasu Mallesha, Vinyas Mahesh, Vishwas Mahesh, Sriram Mukunda, Sushanth Negi, Sathiskumar Anusuya Ponnusami

Summary: The focus is on the influence of fillers in high-performance polymer composites and the utilization of additive manufacturing in this process. The thermal behavior of PETG polymers reinforced with graphene flakes was assessed, and it was found that increasing the concentration of graphene enhances the thermal properties of the composites. Chemical interactions between graphene and PETG also impact the overall effectiveness of the composites.

POLYMER ENGINEERING AND SCIENCE (2023)

Article Engineering, Chemical

Three body abrasion wear resistance of cenosphere particle-reinforced syntactic foams developed using molding method

Vishwas Mahesh, Vinyas Mahesh, Dineshkumar Harursampath, Jayadev Shivanna, Rakesh Chikkathotlukere Lakshmikanth, Gagana Tumkur Renukumar, Babitha Channamuddenahalli Muthuramaiah

Summary: This study investigates the factors affecting the abrasion of cenosphere-reinforced syntactic foams and assesses their three-body wear behavior using Taguchi's design of experiments. The concentration of cenospheres, duration, and applied force all influence the wear rate of the syntactic foams.

POLYMER ENGINEERING AND SCIENCE (2023)

暂无数据