Abstract
The dynamic stability of structural systems reinforced by nanocomposites under dynamic loads have become increasingly important because of their multifunctional capabilities as a result of carbon nanotube (CNT) reinforcement. The present study provides an analytical framework for evaluating and optimizing dynamic stability of CNT-reinforced structural members using first-order shear deformation theory (FSDT). The transverse and shear strains have been assumed to have a linear relation to their respective displacements so that the effects of shear deformation can be accurately determined; this is very important for structural members that are of medium thickness. The constitutive behavior of the material will be based on Hooke's law using the effective elastic properties of CNT-reinforced nanocomposites derived through micromechanical homogenization techniques. The equations of motion are established through Hamilton's principle, yielding a variationally consistent formulation of the kinetic, potential, and work contributions for the system. In order to obtain closed-form solutions, the displacement fields are represented as a double trigonometric series in the context of the classical Navier approach, while also meeting simply supported boundary conditions at each end connection. The resulting eigenvalue problem establishes the critical dynamic stability boundaries, as well as principal parametric resonance states for the system. The parametric studies emphasize that important contributions to dynamic response and stability margins arise from the CNT volume fraction, the distribution of the CNTs, and the geometry of the structure. Through optimization analysis, the results show that using a specifically tailored arrangement of CNTs will significantly increase the stiffness of the structure, extend the time before instability occurs, and reduce the sensitivity of the structure to the excitation frequency/ampitude. This new method provides a sound analytical basis for the design and structural management of advanced CNT reinforced components for engineering applications where lightweight/high-strength/ dynamically stable materials are needed.
Address
Suleiman Ibrahim Mohammad: Electronic Marketing and Social Media, Economic and Administrative Sciences Zarqa University, Jordan/ INTI International University, 71800 Negeri Sembilan, Malaysia
Asokan Vasudevan: Faculty of Business and Communications, INTI International University, 71800 Negeri Sembilan, Malaysia
Bashar Tarawneh: Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman, Jordan/ Faculty of Engineering, University of Jordan University, Amman, Jordan
Torki M. Al-Fawwaz: College of Commerce and Business, Lusail University, Qatar
Chen Wenchang: Guizhou Qiannan College of Science and Technology, Huishui County, Buyi and Miao Autonomous Prefecture, Guizhou Province, 550600 China
Abstract
A semi-analytical framework has been outlined in order to determine optimal costs for both graphite enhance composite structures and to manage the fabrication/production cost reduction of each composite component subjected to an outside/acting shock load (dynamic). The mechanical behavior of the composite (the composite composite system) will be simulated/characterized by means of Halpin-Tsai theory to find out what the effective material properties will be based upon the shape/geometry of the graphene nanoplatelet (GPL) within the composite (shape). Structural outputs will be computed using first-order-shear-deformation-theory (FSDT) in order for each composite block of the frame to accurately reflect transverse shear effects that result from moderate thicknesses of the plates under load (weight). Hamilton's principle will steer the development of the governing equations of motion for each of the composite blocks to develop analytical representations (the 2D composite) of their (combination) response when they are loaded with a transient shock/impact. Coupled partial differential equations will be solved using the differential quadrature method (DQM) semi-analytically to provide the highest degree of accuracy, while also minimizing the amount of computational effort through reduced discretization methods required to solve them. Finally, time-dependent shock loading or transient response solutions will be obtained using the Laplace transformations. This work is unique because it integrates geometric optimization of the nanoplates with a manufacturing cost-reduction assessment to find the best performing solutions with the least manufacturing cost.
Key Words
differential quadrature method; external shock; GPL reinforcement; optimization and fabrication cost management; structural responses
Address
Suleiman Ibrahim Mohammad: Electronic Marketing and Social Media, Economic and Administrative Sciences Zarqa University, Jordan/ INTI International University, 71800 Negeri Sembilan, Malaysia
Asokan Vasudevan: Faculty of Business and Communications, INTI International University, 71800 Negeri Sembilan, Malaysia
Basem Abu Zneid: Faculty of Engineering, Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman, Jordan
Torki M. Al-Fawwaz: College of Commerce and Business, Lusail University, Qatar
Wu Wenya: Xingtai Vocational College of Applied Technology, Hebei Province, China/ INTI International University, 71800 Negeri Sembilan, Malaysia
Ismoiljon Rozikov: Department of Agronomy Navoi State University of Mining and Technologies, Navoiy, Uzbekistan
Fakhriddin Isaev: Department of Finance and Tourism, Termez University of Economics and Service, Termez, Uzbekistan/ Research Center CEDR under the Tashkent State University of Economics, Tashkent, Uzbekistan
Alisher Ishankulov: Department of Chemistry, Kimyo International University in Tashkent Branch Samarkand, Uzbekistan
Abstract
In this study, the diagonal compression behavior of cement-clay interlocking hollow brick (CCIHB) masonry walls is investigated using a combination of experimental and analytical study. The four wall configurations on full scales are considered: unreinforced - ungrouted, grouted, reinforced and grouted with vertical reinforcement. Diagonal compression tests were conducted as per ASTM E519 to measure in-plane shear strength, stiffness characteristics and failure modes. An analytical macro-modelling framework consisting of finite element plate representations for the masonry material, material zoning to simulate grout infill and embedded elements to simulate the vertical reinforcement. Analytical predictions are validated based on comparison of load vs displacement response, stress-based failure indicators, shear stress distribution, and global deformation patterns. The analytical results showed good agreement with experimental observations with peak load values predicted within 5% to 8% of measured values. Incorporation of grout infill increased the diagonal shear capacity by about 95% compared to ungrouted configuration and vertical reinforcement increased post-cracking resistance and deformation capacity. The combined grouted and reinforced wall system was shown to have the highest strength, stiffness, and ductility. Stress distribution patterns derived from the analytical models were found to be in qualitative agreement with those experimentally observed crack initiation and failure modes. The results validate the important role of the grout and reinforcement in enhancing the in-plane shear performance of CCIHB masonry walls and demonstrate the suitability of the proposed macro-modelling approach to capture their global structural behavior. This study forms a basis for the validated analysis in the assessment and design of interlocking masonry wall systems in sustainable and modular construction applications.
Key Words
cement-clay interlocking hollow bricks; diagonal compression; finite element analysis; STAAD. Pro modelling; macro-modelling
Address
Maddikera Lokanath Reddy, Lingeshwaran N: Department of Civil Engineering, Koneru Lakshmaiah Education Foundation (Deemed to be University), Green Fields, Vaddeswaram, Guntur District, Andhra Pradesh, India - 522 302
Abstract
This research provides a broad management-oriented inquiry into the thermal buckling and stability behavior of hybrid nanocomposite-strengthened annular plates inside an auxetic elastic medium. The structural arrangement is treated via a multi-scale hybrid laminated nanocomposite (MHLN) scheme together with a higher-order shear deformation theory (HSDT) so it can properly catch the transverse shear effect and those thickness-dependent changes. Thermoelastic stress–strain relations are used too to see how thermal loading nudges the nonlinear stability properties of the ring-like layout. On top of that, the nearby auxetic substrate is modeled with the Haber–Schaim elastic foundation approach, which helps in a more realistic sense of how the negative Poisson's ratio actually boosts stiffness and also how it improves post-buckling resistance. The governing equilibrium equations are discretized and handled numerically by using the differential quadrature method (DQM) built on a Chebyshev–Gauss–Lobatto grid distribution, which gives strong computational efficiency and reliable numerical convergence. Parametric studies are then run to look at how foundation coefficients, temperature changes, nanoparticle dispersion, lamination sequence, and geometric ratios influence the critical buckling temperatures and overall structural stability. What comes out is a useful management scaffold for best design choices, thermal reliability checking, and stability regulation of advanced nanocomposite plate structures, for aerospace, mechanical, and energy engineering use cases.
Abstract
This study presents a novel, comprehensive analysis of reinforced composite structures using analytical, experimental, and statistical methods. A multi-scale prediction platform for fibre-reinforced composite materials is investigated, incorporating micromechanics, fatigue life prediction, and tribological behaviour analysis. It encompasses optimized Halpin-Tsai equations with calibrated shape factors, progressive damage modelling, S-N curve fatigue analysis with R-ratio effects, and abrasive/adhesive wear mechanisms to enable precise property predictions from constituent material to laminate performance. The micromechanics module uses sophisticated shape factors (ζ=1.0 for transverse modulus, ζ=0.5 for shear modulus) which eliminate systematic overestimation errors from traditional formulations. Fatigue analysis covers S-N curve modelling with high sensitivity to mean stress, environmental adjustments for temperature and moisture, and progressive damage accumulation. Wear module simulates both adhesion and abrasion mechanisms with material hardness sensitivity and environmental sensitivities. Full Monte Carlo uncertainty analysis yields 95% confidence intervals for all predictions. Experimental validation against literature data demonstrates excellent accuracy with R2 > 0.90 for all the models: fatigue (R2= 0.914), wear (R2=0.998), and micromechanics properties (R2 > 0.99). The integrated system possesses 3.7 % mean prediction error, realistic fatigue life predictions with up to 3× enhancement for fully reversed loading, and convenient wear life predictions in engineering time scales. The validated framework enables rapid composite design cycles with fewer experimental test requirements and high-fidelity predictions that are relevant to aerospace, automotive, and renewable energy applications where durability is an issue.
Key Words
composite materials; experimental validation; fatigue life prediction; micromechanics modelling; wear analysis
Address
Ali Jasim Atiyah, Sara Salim Al-Esawy: Department of Power Mechanics Technologies, Babylon Technical Institute, AL-Furat Al-Awsat Technical University, Najaf, Iraq
Emad Kadum Njim: Department of Mechanical Power Engineering, College of Technical Engineering, University of Al Maarif, Al Anbar, 31001, Iraq
Royal Madan: Department of Mechanical Engineering, Graphic Era (Deemed to be University), Dehradun 248002, Uttarakhand, India
