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Article
Publication date: 24 April 2007

F. Daneshmand and S. Niroomandi

This paper seeks to extend the application of the natural neighbour Galerkin method to vibration analysis of fluid‐structure interaction problems.

390

Abstract

Purpose

This paper seeks to extend the application of the natural neighbour Galerkin method to vibration analysis of fluid‐structure interaction problems.

Design/methodology/approach

The natural element method (NEM) which is a meshless technique is used to simulate the vibration analysis of the fluid‐structure interaction systems. The method uses the natural neighbour interpolation for the construction of test and trial functions. Displacement variable is used for both the solid and the fluid domains, whereas the fluid displacement is written as the gradient of a potential function. Two classical examples are considered: free vibration of a flexible cavity filled with liquid and vibration of an open vessel containing liquid. The corresponding eigenvalue problems are solved and the results are compared with the finite element method (FEM) and analytical solutions to show the accuracy and convergence of the method.

Findings

The performance of the NEM is investigated in the computation of the vibration modes of the fluid‐structure interaction problems. Good agreement with analytical and FEM solutions are observed. Through the notable obtained results, it is found that the NEM can also be used in vibration analysis of fluid‐structure interaction problems as it has been successfully applied to some problems in solid and fluid mechanics during the recent years.

Originality/value

In spite of notable achievements in solving some problems in solid and fluid mechanics using NEM, the vibration analysis of fluid‐structure interaction problems, as considered in this paper, has not been investigated so far.

Details

Engineering Computations, vol. 24 no. 3
Type: Research Article
ISSN: 0264-4401

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Article
Publication date: 29 May 2009

Narges Dialami and Farhang Daneshmand

The purpose of this paper is to extend the application of natural neighbor Galerkin Method (NNGM) to deflection analysis of inflatable structures such as new and modern textile…

703

Abstract

Purpose

The purpose of this paper is to extend the application of natural neighbor Galerkin Method (NNGM) to deflection analysis of inflatable structures such as new and modern textile structures under arbitrary conditions.

Design/methodology/approach

Inflatable structures have a proper mechanical strength when they are inflated at different pressures. NNGM or natural element method (NEM) is defined as a new meshfree method based on the natural neighbor interpolation to analyze the deflections of these structures under arbitrary pressures, load and support conditions. The whole interpolation is built with regard to the natural neighbor nodes and Voronoi tessellation of the given point.

Findings

The performance of NNGM is investigated in the deflection analysis of inflatable tubes and panels. The excellent agreement between the presented modeling and analytical results and also finite element solutions and experiment are observed.

Originality/value

Despite the wide usage of NNGM in many engineering problems, this comparison shows the other aspect of application of NNGM in the deflection analysis of inflatable structures, not previously examined.

Details

Engineering Computations, vol. 26 no. 4
Type: Research Article
ISSN: 0264-4401

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Article
Publication date: 26 May 2020

Haolong Chen, Zhibo Du, Xiang Li, Huanlin Zhou and Zhanli Liu

The purpose of this paper is to develop a transform method and a deep learning model to identify the inner surface shape based on the measurement temperature at the outer boundary…

245

Abstract

Purpose

The purpose of this paper is to develop a transform method and a deep learning model to identify the inner surface shape based on the measurement temperature at the outer boundary of the pipe.

Design/methodology/approach

The training process is assisted by the finite element method (FEM) simulation which solves the direct problem for the data preparation. To avoid re-meshing the domain when the inner surface shape varies, a new transform method is proposed to transform the shape identification problem into the effective thermal conductivity identification problem. The deep learning model is established to set up the relationship between the measurement temperature and the effective thermal conductivity. Then the unknown geometry shape is acquired by the mapping between the inner shape and the effective thermal conductivity through the inverse transform method.

Findings

The new method is successfully applied to identify the internal boundary of a pipe with eccentric circle, ellipse and nephroid inner geometries. The results show that as the measurement points increased and the measurement error decreased, the results became more accurate. The position of the measurement point and mesh density of the FEM model have less effect on the results.

Originality/value

The deep learning model and the transform method are developed to identify the pipe inner surface shape. There is no need to re-mesh the domain during the computation progress. The results show that the proposed method is a fast and an accurate tool for identifying the pipe inner surface.

Details

Engineering Computations, vol. 37 no. 9
Type: Research Article
ISSN: 0264-4401

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Book part
Publication date: 2 December 2024

Gaurav Duggal, Manoj Garg and Achint Nigam

In this chapter, we explore the dark side of the metaverse and the need for user protection. While the metaverse offers multiple opportunities it also poses significant risks for…

Abstract

In this chapter, we explore the dark side of the metaverse and the need for user protection. While the metaverse offers multiple opportunities it also poses significant risks for users, such as privacy concerns, addiction, harassment, and cyberbullying. First, we discuss the various threats that users may encounter such as online harassment, assaults, cyberbullying, hate speech, identity theft, and virtual property theft. As per the Center for Countering Digital Hate, an incident of violation occurs every seven minutes within VRChat, a popular virtual reality game. The level of misconduct in the metaverse can surpass the extent of internet harassment. Virtual reality gaming has been associated with various health issues like sleep deprivation, and insomnia as well as mental health concerns such as depression, anger, and anxiety. We examine how these issues may impact user’s physical and mental health. The sensors and devices used in the metaverse collect a vast amount of user biometric data and spatial data. Interactions between users and metaverse could be leaked. We examine different methods that improve user protection, including everyone from enhanced security protocols via the application of privacy-enhanced technology to several avatars, two-factor authentication, and user educational and awareness programs. Moreover, we explore how the newest technologies, like blockchain and artificial intelligence, play a role in making user safety more important. We finished the course with the study of the case of Second Life, the virtual reality gaming platform, and pointing out some of the problems that exist within it.

Details

The Metaverse Dilemma: Challenges and Opportunities for Business and Society
Type: Book
ISBN: 978-1-83797-525-9

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Book part
Publication date: 9 December 2024

Brian Kee Mun Wong, Foong Li Law and Chin Ike Tan

The emergence of consumerism has led to regulatory measures being integrated into business practices, but the influence of consumers in developing countries remains limited…

Abstract

The emergence of consumerism has led to regulatory measures being integrated into business practices, but the influence of consumers in developing countries remains limited, resulting in businesses being less responsive. The digital retail landscape is undergoing a transformative revolution, driven by Industrial Revolution (IR) 4.0 technological advancements such as artificial intelligence (AI), wearables, virtual reality (VR), augmented reality (AR), and blockchain technology. This development focuses on convenience, personalisation, and emotional connections. Companies are adapting to modern consumer behaviour through various strategies, including online shopping, mobile commerce, data analytics, technology integration, user reviews, and contactless payments. The COVID-19 pandemic has accelerated this seismic shift in the retail industry, and online retail is expected to continue to grow post-pandemic, driven by these technologies. AI enhances the customer experience, wearables provide interactive engagement, VR offers immersive shopping, AR merges online and physical shopping, and blockchain ensures secure transactions in the emerging metaverse. As retail converges with the metaverse, the potential for borderless and personalised shopping experiences is enormous. Advances in VR technology could lead to interconnected virtual spaces that seamlessly connect physical and digital retail, providing immersive and personalised shopping experiences. However, challenges such as cost, learning curves, digital security, legal ambiguity, data privacy, financial risk, and ethical considerations need to be addressed through vigilant and informed consumer engagement in this evolving digital landscape.

Details

Augmenting Retail Reality, Part A: Blockchain, AR, VR, and the Internet of Things
Type: Book
ISBN: 978-1-83608-635-2

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Article
Publication date: 17 June 2020

KangLe Wang

On a microgravity condition, a motion of soliton might be subject to a microgravity-induced motion. There is no theory so far to study the effect of air density and gravity on the…

69

Abstract

Purpose

On a microgravity condition, a motion of soliton might be subject to a microgravity-induced motion. There is no theory so far to study the effect of air density and gravity on the motion property. Here, the author considers the air as discrete molecules and a motion of a soliton is modeled based on He’s fractal derivative in a microgravity space. The variational principle of the alternative model is constructed by semi-inverse method. The variational principle can be used to establish the conservation laws and reveal the structure of the solution. Finally, its approximate analytical solution is found by using two-scale method and homotopy perturbation method (HPM).

Design/methodology/approach

The author establishes a new fractal model based on He’s fractal derivative in a microgravity space and its variational principle is obtained via the semi-inverse method. The approximate analytical solution of the fractal model is obtained by using two-scale method and HPM.

Findings

He’s fractal derivative is a powerful tool to establish a mathematical model in microgravity space. The variational principle of the fractal model can be used to establish the conservation laws and reveal the structure of the solution.

Originality/value

The author proposes the first fractal model for the soliton motion in a microgravtity space and obtains its variational principle and approximate solution.

Details

International Journal of Numerical Methods for Heat & Fluid Flow, vol. 31 no. 1
Type: Research Article
ISSN: 0961-5539

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Article
Publication date: 8 July 2019

Leszek Hożejowski

The purpose of this paper is to propose a numerical procedure for discrete identification of the missing part of the domain boundary in a heat conduction problem. A new approach…

72

Abstract

Purpose

The purpose of this paper is to propose a numerical procedure for discrete identification of the missing part of the domain boundary in a heat conduction problem. A new approach to sensitivity analysis is intended to give a better understanding of the influence of measurement error on boundary reconstruction.

Design/methodology/approach

The solution of Laplace’s equation is obtained using the Trefftz method, and then each of the sought boundary points can be derived numerically from a nonlinear equation. The sensitivity analysis comes down to the analytical evaluation of a sensitivity factor.

Findings

The proposed method very accurately recovers the unknown boundary, including irregular shapes. Even a very large number of the boundary points can be determined without causing computational problems. The sensitivity factor provides quantitative assessment of the relationship between the temperature measurement errors and boundary identification errors. The numerical examples show that some boundary reconstruction problems are error-sensitive by nature but such problems can be recognized with the use of a sensitive factor.

Originality/value

The present approach based on the Trefftz method separates, in terms of computation, specification of the coefficients appearing in the Trefftz method and missing coordinates of the sought boundary points. Due to introducing a sensitivity factor, a more profound sensitivity analysis was successfully conducted.

Details

International Journal of Numerical Methods for Heat & Fluid Flow, vol. 30 no. 5
Type: Research Article
ISSN: 0961-5539

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Book part
Publication date: 24 March 2025

Vinay Kandpal, Peterson K. Ozili, P. Mary Jeyanthi, Deepak Ranjan and Deep Chandra

The rise of the metaverse and technology's disruptive visualisation spell a changing landscape for digital banking. As consumers increasingly conduct financial transactions in…

Abstract

The rise of the metaverse and technology's disruptive visualisation spell a changing landscape for digital banking. As consumers increasingly conduct financial transactions in virtual worlds and immersive digital environments, it is imperative that advanced analysis tools are developed to measure and improve the virtual banking experience with this emerging metaverse. This chapter enriches the new notion of Metalytics and how it can be successfully employed as an approach to quantify and measure customer satisfaction and quality in digital banking services with today's changing scenarios. Now, it is a complex digital world of social engagement, entertainment and commerce. Traditional banking services, in that sense, have even started seeping into the metaverse and offering users a taste of virtual financial institutions (the meta bank), digital currencies as well as other financial products. The use of advanced analytics, tools and metrics designed for the unique features of a multiverse. This chapter goes on to discuss, through some of its key components and methodologies, how this could usher an epochal change in interstellar nodes for evaluating digital banking services. Financial institutions that embrace the peculiarities of the metaverse and leverage data-driven insights can offer comprehensive digital banking solutions. This is necessary for the digital frontier, and Metalytics propulsion fits this part perfectly, managing to keep their services up to date, safe, secure and, most importantly, customer-centred while navigating through the metaverse landscape.

Details

Digital Finance and Metaverse in Banking
Type: Book
ISBN: 978-1-83662-088-4

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Article
Publication date: 28 December 2020

Ming-Xian Lin and Chao Kuang Chen

This paper aims to present a nonclassical circular plate model subjected to hydrostatic pressure and electrostatic actuations by considering the modified couple stress theory and…

162

Abstract

Purpose

This paper aims to present a nonclassical circular plate model subjected to hydrostatic pressure and electrostatic actuations by considering the modified couple stress theory and the surface elasticity theory. The pull-in phenomenon and nonlinear behavior of circular nanoplate are investigated.

Design/methodology/approach

The hybrid differential transformation method (DTM) and finite difference method (FDM) are used to approach the model. The DTM was first applied to the equation with respect to the time, and then the FDM was applied with respect to the radius.

Findings

The numerical results were in agreement with the numerical data in the previous literature. The effects of the length scale parameters, surface parameters, thermal stress, residual stress, hydrostatic pressure and electrostatic actuations of the nonclassical circular plate on the pull-in instability are investigated. The parametric study demonstrated that the pull-in behavior of the circular nanoplate was size dependent.

Originality/value

In this study, the results provide a suitable method in a nonclassical circular plate model. The length scale parameter had an obvious effect on the nonlinear behavior of the circular nanoplate.

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Article
Publication date: 4 September 2017

Lijesh K.P., Deepak Kumar and Harish Hirani

The purpose of this paper is to report on the development of magnetorheological (MR) fluids, having high on-state shear stress/viscosity, low off-state shear stress/viscosity…

303

Abstract

Purpose

The purpose of this paper is to report on the development of magnetorheological (MR) fluids, having high on-state shear stress/viscosity, low off-state shear stress/viscosity, good redispersibility and stable suspension of carbonyl iron particles, using tetramethyl ammonium hydroxide (TAH) and oleic acid.

Design/methodology/approach

MR fluids for use in brakes are synthesized using different weight percentages of silicone oil, TAH, oleic acid and iron particles. The effects of TAH and oleic acid are studied. Shear stress is measured as a function of magnetic field on a magneto-rheometer. The images of MR particles settling with time are presented. The test set-up used to evaluate the performance of the MR fluids synthesized for brake application is detailed. Finally, a significant improvement in the MR performance of brakes is reported.

Findings

The MR fluid having 0.25 Wt.% oleic acid showed low off-state viscosity/shear stress and high on-state viscosity/shear stress. A higher weight percentage of TAH in the MR fluid further reduced the low off-shear stress and increased the high on-state shear stress with better stability.

Originality/value

Improvement of MR brake performance by adding surfactants like TAH and oleic acid has been the subject matter of several studies in the past, but these studies used a fixed percentage of surfactants in MR fluids. In the present work, the optimum percentage of TAH and oleic acid for an improved braking performance is determined by varying their content in the MR fluid, which has not been reported in any other work thus far.

Details

Industrial Lubrication and Tribology, vol. 69 no. 5
Type: Research Article
ISSN: 0036-8792

Keywords

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