Neural Network-Based Prediction Model to Investigate the Influence of Temperature and Moisture on Vibration Characteristics of Skew Laminated Composite Sandwich Plates.

Kallannavar, Vinayak; Kattimani, Subhaschandra; Soudagar, Manzoore Elahi M; Mujtaba, M A; Alshahrani, Saad; Imran, Muhammad

Kallannavar, Vinayak; Kattimani, Subhaschandra; Soudagar, Manzoore Elahi M; Mujtaba, M A; Alshahrani, Saad; Imran, Muhammad.

Afiliación

Kallannavar V; Department of Mechanical Engineering, National Institute of Technology Karnataka, Surathkal 575025, India.
Kattimani S; Department of Mechanical Engineering, National Institute of Technology Karnataka, Surathkal 575025, India.
Soudagar MEM; Department of Mechanical Engineering, Glocal University, Delhi-Yamunotri Marg, Uttar Pradesh 247121, India.
Mujtaba MA; Department of Mechanical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia.
Alshahrani S; Department of Mechanical Engineering, King Khalid University, Guraiger, Abha 62529, Saudi Arabia.
Imran M; Department of Mechanical, Biomedical and Design Engineering, College of Engineering and Physical Sciences, Aston University, Birmingham B4 7ET, UK.

Materials (Basel) ; 14(12)2021 Jun 09.

Article en En | MEDLINE | ID: mdl-34207585

Palabras clave

artificial neural network; effect of temperature and moisture; finite element analysis; sandwich plates; shear deformation theory; skew angle

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Materials (Basel) Año: 2021 Tipo del documento: Article País de afiliación: India Pais de publicación: Suiza

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