Transient response analysis of sandwich composite panel DOI
Xueli Nan, Tzu-Hsing Ko,

Erfan Shamsaddini Lori

et al.

Mechanics of Advanced Materials and Structures, Journal Year: 2022, Volume and Issue: 30(10), P. 1931 - 1942

Published: March 17, 2022

In order to introduce a novel way relied on enhancing structural design as well utilizing advanced material for protecting nonmetallic structures from detrimental impacts of transient thermal shock, this research analyzes the coupled thermo-elasticity response sandwich cylindrical panel with nanocomposite face-sheets strengthened functionally graded distributions graphene-platelets affected by shock loading. To determine performance simply-supported system in content time-altering stresses and deflections, analytical solving approach, according broadly-known Navier technique, is applied governing equations developed bases exact theory elasticity. It considered that internal surface thermally isolated, while outer shock. The energy balance relation specified boundary condition solved acquire temperature gradient. Inverting Laplace transform would be done aid Dubner Abates' technique designate time-history displacements, shear stresses, distribution. Halpin-Tsai micromechanics adjusted nanocomposites utilized calculate thermoelastic properties face-sheets. obtained numerical outcomes revealed growth geometrical factor called mid-radius thickness ratio leads higher ultimate lower transverse stress.

Language: Английский

Efficient machine-learning algorithm applied to predict the transient shock reaction of the elastic structure partially rested on the viscoelastic substrate DOI
Jie Wu, Yong Yang, Peyman Mehrabi

et al.

Mechanics of Advanced Materials and Structures, Journal Year: 2023, Volume and Issue: 31(16), P. 3700 - 3724

Published: March 8, 2023

Due to numerous applications of piezoelectric materials in the modern technologies, this study assesses thermomechanical shock behavior functionally graded graphene platelets reinforced nanocomposite (FG-GPLRN) annular plate surrounded by two layers and partially rested on viscoelastic substrate for different cases boundary conditions metaheuristic optimized machine-learning methods, first time. Thermal mechanical shocks are simultaneously applied upper surface mentioned structure. Governing equations system formulated background three-dimensional (3D) elasticity theory. Energy balance is considered based Lord-Shulman theorem. Differential quadrature method (DQM) selected as main solver determine spatial response from state-space form governing differential equations. Additionally, Laplace transform collaborated with modified Dubner Abate's approach predict temporal system. Accuracy methods carefully examined verified through comparative performed between current results those determined published high-quality studies. Valuable outcomes would be directly employed designing process similar structures interacting probable shocks.

Language: Английский

Citations

55

Application of artificial intelligence technique in optimization and prediction of the stability of the walls against wind loads in building design DOI
Danping Hu, Hongquan Sun, Peyman Mehrabi

et al.

Mechanics of Advanced Materials and Structures, Journal Year: 2023, Volume and Issue: 31(19), P. 4755 - 4772

Published: May 17, 2023

The present study is done to perform the optimal design of structural components buildings against unwanted wind load exerted on their outer face. To this end, case research wall made a one-floor building modeled as rectangular plate with only one free edge and three clamped ones. It assumed that sandwich whose core auxetic material dace-sheets are reinforced nanoparticles graphene platelets (GPL). Differential equations governing system's motion obtained within background plate's shear-deformation theories. stability analysis performed based application artificial intelligence (AI) methods optimized an innovative optimization approach gain high level accuracy. determine information system at train points, differential quadrature (DQA) applied solver motion. accuracy used in paper examined verified by comparing results those acquired articles published previously. provide very useful about response lightweight through AI-based solutions.

Language: Английский

Citations

55

Non-polynomial framework for bending responses of the multi-scale hybrid laminated nanocomposite reinforced circular/annular plate DOI
Xiaolei He, Jie Ding, Mostafa Habibi

et al.

Thin-Walled Structures, Journal Year: 2021, Volume and Issue: 166, P. 108019 - 108019

Published: June 9, 2021

Language: Английский

Citations

61

Wave frequency responses estimate of the nanocomposite linked hemispherical-conical shell underwater-like bodies with the impacts of two types of graphene-based nanofillers DOI
Emad Sobhani, Amir R. Masoodi, Amir Reza Ahmadi-Pari

et al.

Ocean Engineering, Journal Year: 2022, Volume and Issue: 262, P. 112329 - 112329

Published: Aug. 23, 2022

Language: Английский

Citations

25

Transient thermal shock behavior of the graphene-platelets reinforced annular-shape sector plates in the case of fully-clamped and simply-supported boundary conditions DOI

Peng Cang,

Shen Yu,

HuiDan Zhang

et al.

Mechanics of Advanced Materials and Structures, Journal Year: 2023, Volume and Issue: 31(16), P. 3776 - 3797

Published: March 9, 2023

This research is the first attempt to observe consequences of instantaneous thermal shock on thermo-elastodynamic response initially stressed graphene-reinforced nanocomposite annular-shape sector plates resting Kerr-type elastic substrate in background elasticity theory its general form. To enable solvability system's equations for fully-clamped boundary conditions as well simply-supported ones, HDQA employed. For time, effect different models form Heaviside, sinusoidal and cosinusoidal functions fluctuation stress deflection terms explored. The convergence DQA with respect number grid nodes are compared select solution optimal rate, it found that requires a comparatively lower present stable results.

Language: Английский

Citations

13

Simulation and modeling of polymer concrete panels using deep neural networks DOI Creative Commons
Li Li, Mina Mortazavi, Harry Far

et al.

Case Studies in Construction Materials, Journal Year: 2024, Volume and Issue: 20, P. e02912 - e02912

Published: Jan. 24, 2024

The most often utilized construction material worldwide is concrete. Extensive experiments are carried out each year to study the physical, mechanical, and chemical properties of concrete, which costly time-consuming. This focuses on avoiding redundant tests by applying machine learning (ML) method predict temperature-dependent polymer concrete qualities. In this work, as a strong tool ML method, deep neural network (DNN) used examine five mechanical characteristics including Poisson's ratio, Young's modulus, specific heat, coefficient thermal expansion, conductivity. A 5-fold cross-validation was verify strategy in research get rid split bias testing training. demonstrates followed mathematical modeling steel-polymer panel for various civil applications. Temperature-dependent equations determined using constitutive heat transfer Cartesian coordinates. addition, shock load acts upper part, lower part becomes an isothermal state with no flow. order account limited speed at temperature waves travel, two distinct theories generalized thermoelasticity employed: Lord-Shulman (LS) Green-Lindsay (GL) theories. Fast Laplace Inverse Transform Method (FLITM) results from domain time domain. three-dimensional differential quadrature approach (3D-DQA) three Chebyshev-Gaussian-Robat functions solving presented. conclusion, some suggestions improving stability panels detailed will be compiled future manual.

Language: Английский

Citations

5

Adaptive momentum-based optimization to train deep neural network for simulating the static stability of the composite structure DOI

Zhifeng Chi,

Zhiyong Jiang, M. M. Kamruzzaman

et al.

Engineering With Computers, Journal Year: 2021, Volume and Issue: 38(S5), P. 4027 - 4049

Published: March 1, 2021

Language: Английский

Citations

29

Simultaneous effect of thermal shock and prebuckling loads on the exact coupled thermoelasticity response of the nanocomposite-reinforced sandwich sector system DOI
Atef El Jery,

Mohammed Al-Bahrani,

Sura Rahim Alatba

et al.

Mechanics of Advanced Materials and Structures, Journal Year: 2023, Volume and Issue: 31(12), P. 2648 - 2666

Published: Jan. 17, 2023

Due to popularity of the ultralight-weight sandwich structures in industrial applications, exploring effect various factors on their thermomechanical shock resistance is high importance. To this end, current research dedicated assessing thermoelastic reaction annular-shaped sector plates with nanocomposite face-layers reinforced nanosized graphene-platelets (GPL) against intensive shock. The general format linear thermoelasticity theory implemented declare basic relations system. thermal energy balance system expressed according Lord-Shulman theorem. Laplace transform employed map time-dependency system's equations into realization.

Language: Английский

Citations

13

AI-based solution on the efficient structural design of the graphene-platelets reinforced concrete ceilings DOI
Wenjie Yang, Gongxing Yan,

Emad Mahrous Awwad

et al.

Mechanics of Advanced Materials and Structures, Journal Year: 2023, Volume and Issue: 31(22), P. 5581 - 5604

Published: June 8, 2023

Due to the importance of safety in process structural designing modern buildings' ceiling, this study gravitates on a novel topic analyzing thermoelastic response concrete ceiling reinforced with nanoparticles graphene-platelets (GPL). To end, mentioned is considered as fully-clamped rectangular plate exposed simultaneous impact thermal and mechanical loads. The exact form elasticity theory conjunction differential quadrature method employed for acquiring behavior system. Then, an artificial intelligence-based used accelerate computational process. Efficiency accuracy solution are examined verified by means comparative study. results article would be broadly design constructions near future.

Language: Английский

Citations

12

Thermal shock resistance of nanocomposites reinforced concrete pier shape structures: Presenting hybrid deep neural networks to obtain properties of construction and building materials under high temperature DOI

Zhonghong Li,

Gongxing Yan, Yihui Pan

et al.

Construction and Building Materials, Journal Year: 2025, Volume and Issue: 459, P. 139814 - 139814

Published: Jan. 1, 2025

Language: Английский

Citations

0