On the modeling of wave propagation in the multi-curved inhomogeneous system under in-plane load via a non-model-based mechanism and fully connected deep neural networks DOI

Jian Peng,

Xingyun Zhang,

Xiuyu Xie

и другие.

Waves in Random and Complex Media, Год журнала: 2023, Номер unknown, С. 1 - 28

Опубликована: Фев. 6, 2023

AbstractThe deep neural networks (DNNs) technique is one of the best computational methods with low error. However, due to their superior performance, such as reducing cost complexity, this kind machine learning has attracted much attention. Therefore, in present paper, for first time, wave-dispersion results an inhomogeneous system are compared outcomes DNN techniques obtaining exact mean squared error (MSE) parameter future research. In mathematical modeling section report, improved three-dimension higher-order theory (3D-HSDT) considering effect thickness stretching governing equations multi-phase hybrid nanocomposites reinforced rectangular microplate been presented. Phase-velocity current micro structure obtained by employing modified couple stress (3D-MCST). This non-classical model capable capturing small-size impact on behavior plates. Also, aid COMSOL multiphysics finite element simulation, verified, and new improving stability presented studied. Finally, show that software can be verified specific MSE parameter.KEYWORDS: simulationDNN3D-MCSTmulti-phase reinforcementwave propagation Disclosure statementNo potential conflict interest was reported author(s).

Язык: Английский

New ridge regression, artificial neural networks and support vector machine for wind speed prediction DOI
Yun Zheng, Yisu Ge,

Sami Muhsen

и другие.

Advances in Engineering Software, Год журнала: 2023, Номер 179, С. 103426 - 103426

Опубликована: Фев. 16, 2023

Язык: Английский

Процитировано

58
Artificial neural networks coupled with numerical approach for the stability prediction of non-uniform functionally graded microscale cylindrical structures DOI
Zhentang Liang,

Yunying Zhao,

Haiwen Yu

и другие.

Structures, Год журнала: 2024, Номер 60, С. 105826 - 105826

Опубликована: Янв. 8, 2024

Язык: Английский

Процитировано

24
Influence of MWCNT’s waviness and aggregation factors on wave dispersion response of MWCNT-strengthened nanocomposite curved beam DOI
Shuai Zhang,

Yulin Lai,

Kuan‐Yu Chen

и другие.

Structures, Год журнала: 2023, Номер 53, С. 1239 - 1249

Опубликована: Май 12, 2023

Язык: Английский

Процитировано

34
Quasi-3D free and forced vibrations of poroelastic microplates in the framework of modified couple stress theory DOI Creative Commons
Behrouz Karami, Mergen H. Ghayesh, Nicholas Fantuzzi

и другие.

Composite Structures, Год журнала: 2023, Номер 330, С. 117840 - 117840

Опубликована: Дек. 22, 2023

In this study, a comprehensive study on the vibration behaviour of functionally graded thick microplates with material imperfections is presented for free and forced vibrations within quasi-3D model modified couple stress (MCS) theory. Axial, transverse, rotation, stretching motions are considered modelling microplate in framework power-law scheme MCS theories. The deformation assumed to be infinitesimal modelled using linear strain–displacement relationships. Using virtual work method, governing motion equations derived. For fourfold coupled (axial-transverse-rotation-stretching) characteristics, partial differential components discretised via trigonometric expressions corresponding natural frequencies time histories (time-dependent deflections) determined numerically. methodology initially validated through comparative analysis between macrolevel simplified structure those obtained finite element software. Additionally, simulation compared, validation purposes, other versions from literature. Once model's validity confirmed, an investigation into conducted new model. results demonstrate considerable effect thickness imperfection characteristics poroelastic microplates.

Язык: Английский

Процитировано

34
State-of-the-Art Review of Computational Static and Dynamic Behaviors of Small-Scaled Functionally Graded Multilayer Shallow Arch Structures from Design to Analysis DOI

Dogus Hurdoganoglu,

Babak Safaei, Saeid Sahmani

и другие.

Archives of Computational Methods in Engineering, Год журнала: 2023, Номер 31(1), С. 389 - 453

Опубликована: Авг. 14, 2023

Язык: Английский

Процитировано

20
Application of novel hybrid machine learning approach for estimation of ultimate bond strength between ultra-high performance concrete and reinforced bar DOI
Xiaoming You, Gongxing Yan,

Murtadha M. Al-Masoudy

и другие.

Advances in Engineering Software, Год журнала: 2023, Номер 180, С. 103442 - 103442

Опубликована: Март 2, 2023

Язык: Английский

Процитировано

19
Macroalgae as a potential source of biomass for generation of biofuel: Artificial intelligence, challenges, and future insights towards a sustainable environment DOI
Jian Liu, Fengcheng Zhou, Azher M. Abed

и другие.

Fuel, Год журнала: 2022, Номер 336, С. 126826 - 126826

Опубликована: Дек. 1, 2022

Язык: Английский

Процитировано

21
A Data-Driven Model for Predictive Modeling of Vortex-Induced Vibrations of a Long-Span Bridge DOI Creative Commons
Yafei Wang, Hui Feng, Nan Xu

и другие.

Applied Sciences, Год журнала: 2024, Номер 14(6), С. 2233 - 2233

Опубликована: Март 7, 2024

Vortex-induced vibration (VIV) of long-span bridges can be large amplitude, which influence serviceability. Therefore, it is important to predict the response vortex-induced aid management bridges. A novel data-driven model proposed time history dynamic VIV events. Specifically, consists gated recurrent unit (GRU) neural networks and Newmark-beta method. GRU perform accurate sequential prediction, method complement physical meaning middle output model. To prediction amplitude events, employs weighted mean square error as loss function, put more emphasis on amplitude. The validated measured events a suspension bridge. absolute percentage Pearson correlation coefficient trained indicate effectiveness

Язык: Английский

Процитировано

4
Dynamics of FG nanobeams on nonlocal medium DOI Creative Commons
Bhaskar Das,

Daniele Ussorio,

Marzia Sara Vaccaro

и другие.

Composite Structures, Год журнала: 2025, Номер unknown, С. 119057 - 119057

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0
WITHDRAWN: Utilization of waste coffee ground ash as fine aggregates in concrete: Enhancing shear strength through activated carbon reinforcement DOI Creative Commons

WenYan Ma,

ShanQin Chen,

Yousef Zandi

и другие.

Case Studies in Construction Materials, Год журнала: 2024, Номер unknown, С. e02823 - e02823

Опубликована: Янв. 1, 2024

This study addresses burgeoning environmental concerns amid rising global coffee consumption by exploring the viability of utilizing waste ground ash (SCG) as a sustainable fine aggregate in concrete production. Significant improvements are noted investigating impact SCG on shear strength standard and enhancing properties through activated carbon reinforcement derived from via physical activation. Experimental results reveal that incorporating up to 1.5% weight markedly boosts early strength. Moreover, composites with small inclusion demonstrate superior power during curing compared conventional mixes. The employs Teaching-Learning Optimization (TLBO) Extreme Learning Machine (ELM) techniques forecast accurately. ELM emerges superior, showcasing heightened accuracy, lower RMSE, r R2 values TLBO. Conclusively, leveraging not only presents an effective method for but also underscores promising pathway toward management reduced impact, reflecting pivotal stride harmonizing performance enhancement eco-friendly practices.

Язык: Английский

Процитировано

3