4.4 Article

Free-Vibration Analysis of Sandwich Panels with Randomly Irregular Honeycomb Core

期刊

JOURNAL OF ENGINEERING MECHANICS
卷 142, 期 11, 页码 -

出版社

ASCE-AMER SOC CIVIL ENGINEERS
DOI: 10.1061/(ASCE)EM.1943-7889.0001153

关键词

Sandwich panel; Irregular honeycomb core; Natural frequency; Random cell angle

资金

  1. Swansea University
  2. Royal Society of London

向作者/读者索取更多资源

An analytical framework has been proposed to analyze the effect of random structural irregularity in honeycomb core for natural frequencies of sandwich panels. Closed-form formulas have been developed for the out-of-plane shear moduli of spatially irregular honeycombs following minimum potential energy theorem and minimum complementary energy theorem. Subsequently an analytical approach has been presented for free-vibration analysis of honeycomb core sandwich panels to quantify the effect of such irregularity following a probabilistic paradigm. Representative results have been furnished for natural frequencies corresponding to low vibration modes of a sandwich panel with high length-to-width ratio. The results suggest that spatially random irregularities in honeycomb core have considerable effect on the natural frequencies of sandwich panels. (C) 2016 American Society of Civil Engineers.

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

4.4
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 Mechanics

On enhancing mode-dependent failure strength under large deformation: The concept of anti-curvature in honeycomb lattices

S. Ghuku, T. Mukhopadhyay

Summary: Lattice-based artificial materials have shown the potential of tailoring multifunctional capabilities that are not possible in traditional materials. However, the enhancement of global specific stiffness and failure strength through the conventional periodic lattices has become saturated, leading to a need for innovative design at a more elementary level. In this study, a novel concept of anti-curvature in lattice material design is proposed, which enhances elastic failure strength in the nonlinear regime without altering the relative density. A semi-analytical framework is developed to estimate failure onset in honeycomb lattices with anti-curvature effect, considering geometric nonlinearity under large deformations.

COMPOSITE STRUCTURES (2023)

Article Mechanics

On machine learning assisted data-driven bridging of FSDT and HOZT for high-fidelity uncertainty quantification of laminated composite and sandwich plates

T. Mukhopadhyay, S. Naskar, S. Dey, S. Dey

Summary: In this study, a Gaussian process-based machine learning method is proposed to achieve high accuracy in analysis results with low computational expenses. By combining higher-order thick plate theory with lower-order shear deformation theory, both accuracy and efficiency can be improved in static and dynamic analysis of composite plates and shells. The proposed method is versatile and can be further applied in other applications.

COMPOSITE STRUCTURES (2023)

Article Engineering, Civil

Optimal Design of Inertial Amplifier Base Isolators for Dynamic Response Control of Multi-Storey Buildings

Sudip Chowdhury, Arnab Banerjee, Sondipon Adhikari

Summary: This paper studies the optimal design of inertial amplifier base isolators (IABI) for mitigating the dynamic response of multi-storey buildings under base excitations. The H-2 optimization method is used to obtain closed-form expressions for the optimal design parameters of IABI. The effectiveness of these expressions is evaluated by comparing the frequency and time domain responses of isolated structures to those of uncontrolled structures. The results show that the response reduction capacity of the optimal inertial amplifier base isolator is increased by 50% to 60% compared to traditional base isolators.

INTERNATIONAL JOURNAL OF STRUCTURAL STABILITY AND DYNAMICS (2023)

Article Materials Science, Multidisciplinary

Extreme Specific Stiffness Through Interactive Cellular Networks in Bi-Level Micro-Topology Architected Metamaterials

Diptiman Kundu, Sushanta Ghuku, Susmita Naskar, Tanmoy Mukhopadhyay

Summary: Architected lattice materials, realized through artificial micro-structuring, have attracted significant attention due to their enhanced mechanical performances. However, research on the design of artificial microstructures for mechanical property modulation is saturated, calling for innovation at a more fundamental level. A bi-level design is proposed to explore the potential of geometries and patterns at different length scales, resulting in extreme enhancement of elastic properties through the coupled interaction of beam-level and lattice-level architectures.

ADVANCED ENGINEERING MATERIALS (2023)

Article Mechanics

Random forest-based surrogates for transforming the behavioral predictions of laminated composite plates and shells from FSDT to Elasticity solutions

A. Garg, T. Mukhopadhyay, M. O. Belarbi, L. Li

Summary: In this study, a surrogate model based on Random Forest (RF) machine learning is used to transform solutions based on the First-order Shear Deformation Theory (FSDT) into elasticity-based solutions. The bending behavior of laminated composite plates and shells is analyzed to demonstrate the effectiveness of the surrogate-assisted computational bridging. The surrogate model predicts the difference in stress and displacement between FSDT and Elasticity solutions, which are then adjusted to obtain more accurate values.

COMPOSITE STRUCTURES (2023)

Article Mechanics

On accurately capturing the through-thickness variation of transverse shear and normal stresses for composite beams using FSDT coupled with GPR

A. Garg, T. Mukhopadhyay, M. O. Belarbi, H. D. Chalak, A. Singh, A. M. Zenkour

Summary: Available shear deformation theories (SDTs) have their own merits and demerits. Among SDTs, first-order shear deformation theory (FSDT) and higher-order shear deformation theories (HSDT) are widely used for LCS beams analysis. However, they cannot predict the continuation of transverse shear stresses at interfaces across the thickness of the LCS beams. This study aims to transform the stress variations obtained from FSDT to 3D Elasticity solutions using Gaussian Process Regression (GPR) based surrogate model in order to predict the variation of transverse normal stresses across the thickness accurately and efficiently.

COMPOSITE STRUCTURES (2023)

Article Engineering, Mechanical

Viscoelastic free vibration analysis of in-plane functionally graded orthotropic plates integrated with piezoelectric sensors: Time-dependent 3D analytical solutions

A. Singh, S. Naskar, P. Kumari, T. Mukhopadhyay

Summary: This paper proposes an accurate three-dimensional framework for studying the elastic and viscoelastic free vibration of in-plane functionally graded orthotropic rectangular plates integrated with piezoelectric sensory layers. The developed analytical framework considers gradation in stiffness and density of the composite layers and employs equations of motion formulated in mixed form. The numerical results are compared with published literature and 3D finite element results to validate the accuracy and efficacy of the proposed model.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2023)

Article Engineering, Aerospace

Programmed Out-of-Plane Curvature to Enhance Multimodal Stiffness of Bending-Dominated Composite Lattices

Pratik Tiwari, Susmita Naskar, Tanmoy Mukhopadhyay

Summary: This paper aims to improve the specific stiffness of bending-dominated lattices by introducing elementary-level programmed curvature through a multilevel hierarchical framework. The influence of curvature in the elementary beams is investigated here on the effective in-plane and out-of-plane elastic properties of lattice materials. The proposed curved composite lattice materials would enhance the specific stiffness of bending-dominated lattices to a significant extent, while maintaining their conventional multifunctional advantages.

AIAA JOURNAL (2023)

Article Engineering, Mechanical

The optimal design of negative stiffness inerter passive dampers for structures

Sudip Chowdhury, Arnab Banerjee, Sondipon Adhikari

Summary: This paper introduces a method of combining negative stiffness devices with inerters to traditional base isolators and tuned mass dampers. The optimal design parameters of these novel passive vibration dampers are derived using H2 and H & INFIN; optimization methods. The results show that the optimized negative stiffness inerter-based base isolators and tuned mass dampers outperform traditional base isolators and tuned mass dampers in terms of dynamic response reduction capacity.

INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES (2023)

Article Materials Science, Multidisciplinary

Non-invariant elastic moduli of bi-level architected lattice materials through programmed domain discontinuity

P. Sinha, M. G. Walker, T. Mukhopadhyay

Summary: The effective elastic moduli of lattice-based materials play a critical role in advanced mechanical and structural systems. We introduced programmed domain discontinuities in the cell walls of the lattice metamaterials to achieve non-invariant elastic moduli under different deformation modes. Furthermore, we derived an efficient analytical framework for calculating the effective elastic moduli of lattice materials considering the influence of domain discontinuity. The realization of non-invariant elastic moduli in bi-level architected lattice materials would have significant technological applications.

MECHANICS OF MATERIALS (2023)

Article Instruments & Instrumentation

On-demand contactless programming of nonlinear elastic moduli in hard magnetic soft beam based broadband active lattice materials

P. Sinha, T. Mukhopadhyay

Summary: Engineered honeycomb lattice materials with high specific strength and stiffness are increasingly used for advanced multifunctional applications. However, the ability to actively modulate the mechanical properties of these materials is currently lacking, which is crucial for a range of applications in advanced structural systems.

SMART MATERIALS AND STRUCTURES (2023)

Article Engineering, Aerospace

On quantifying uncertainty in lightning strike damage of composite laminates: A hybrid stochastic framework of coupled transient thermal-electrical simulations

R. S. Chahar, J. Lee, T. Mukhopadhyay

Summary: This paper presents an efficient surrogate approach using support vector machines (SVM) coupled with computationally intensive finite element simulations to quantify the uncertainty in lightning strike damage. The study focuses on the probabilistic quantification of thermal damage and electrical responses in unprotected carbon/epoxy composite laminates due to stochastic variations in temperature-dependent material properties and ply orientations. The results demonstrate the significant influence of source uncertainty on epoxy matrix decomposition, electrical current density, and electric potential in the unprotected laminates.

AEROSPACE SCIENCE AND TECHNOLOGY (2023)

Article Automation & Control Systems

Multi-fidelity machine learning based uncertainty quantification of progressive damage in composite laminates through optimal data fusion

R. S. Chahar, T. Mukhopadhyay

Summary: Recently, machine learning approaches have gained attention in uncertainty quantification of composite laminates. To address the computational demanding issue, we propose a multi-fidelity ML based surrogate approach which combines high-and low-fidelity simulations. By using this approach, we can achieve computational advantage without compromising accuracy. The results show that ply orientations are the most sensitive parameters to damages in composite laminates, and the degree of uncertainty in output quantities depends on the level of input stochastic variations.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2023)

Article Mechanics

On characterizing the viscoelastic electromechanical responses of functionally graded graphene-reinforced piezoelectric laminated composites: Temporal programming based on a semi-analytical higher-order framework

S. Mondal, K. B. Shingare, T. Mukhopadhyay, S. Naskar

Summary: The electromechanical responses of single and multi-layered piezoelectric functionally graded graphene-reinforced composite (FG-GRC) plates were studied, and it was found that the addition of a small weight fraction of graphene can enhance the electromechanical response of the plates.

MECHANICS BASED DESIGN OF STRUCTURES AND MACHINES (2023)

Article Materials Science, Composites

Effective elastic moduli of space-filled multi-material composite lattices

T. Mukhopadhyay, S. Naskar, D. Kundu, S. Adhikari

Summary: Traditionally, lattice materials are composed of a network of beams with void space. Researchers are now exploring ways to use the void space to modulate the physical properties of lattices. In this study, analytical expressions for the effective elastic moduli of space-filled lattices were developed, based on an exact stiffness matrix approach and the unit cell method. Numerical results showed a significant increase in the effective in-plane elastic moduli with a relatively low infill stiffness.

COMPOSITES COMMUNICATIONS (2023)

暂无数据