Stochastic FEM-based thermally buckled natural frequency of composite plate reinforced with date seed natural filler on elastic foundations using a perturbation approach

Natural fillers and fibers exhibit high variability in their mechanical properties, while traditional deterministic FEM is unable to capture this inherent uncertainty in composite materials. The uniqueness of the presented work lies in its integration of a stochastic thermally induced free vibration of an elastically supported multiphase composite plate (ESMPCP) reinforced with date seed powder and short glass fiber on elastic foundations. The stochastic natural frequencies characterized by mean and coefficient of variation (COV) have been computed numerically for the first time using a MATLAB code based on a finite element model, first-order perturbation technique (FOPT), and first-order shear deformation theory (FSDT). The effective elastic properties of ESMPCP were predicted using the Mori–Tanaka and Halpin–Tsai models. Various random parameters are investigated for their impact on the vibrational characteristics. Findings show that increasing the shear parameter ([Formula: see text]) leads to a 67.8% rise in the mean frequency of ESMPCP, reflecting the better resistance against vibration of the shear parameter relative to the Winkler parameter ([Formula: see text]) alone. Also, increasing the date seed filler content (10–40%) raises the mean frequency by about 40% and decreases the COV, making it suitable for vibration-sensitive applications.

Authors

Institutions

Publication Details

Journal
International Journal of Computational Materials Science and Engineering
Published
2026-02-19
DOI
https://doi.org/10.1142/s2047684126500028
Primary Topic
Composite Structure Analysis and Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Stochastic FEM-based thermally buckled natural frequency of composite plate reinforced with date seed natural filler on elastic foundations using a perturbation approach

Rakesh Bhaskarrao Jagtap, Achchhe Lal, B. M. Sutaria
International Journal of Computational Materials Science and Engineering
Composite Structure Analysis and Optimization
article

Stochastic FEM-based thermally buckled natural frequency of composite plate reinforced with date seed natural filler on elastic foundations using a perturbation approach

Rakesh Bhaskarrao Jagtap, Achchhe Lal, B. M. Sutaria
article en

Abstract

Natural fillers and fibers exhibit high variability in their mechanical properties, while traditional deterministic FEM is unable to capture this inherent uncertainty in composite materials. The uniqueness of the presented work lies in its integration of a stochastic thermally induced free vibration of an elastically supported multiphase composite plate (ESMPCP) reinforced with date seed powder and short glass fiber on elastic foundations. The stochastic natural frequencies characterized by mean and coefficient of variation (COV) have been computed numerically for the first time using a MATLAB code based on a finite element model, first-order perturbation technique (FOPT), and first-order shear deformation theory (FSDT). The effective elastic properties of ESMPCP were predicted using the Mori–Tanaka and Halpin–Tsai models. Various random parameters are investigated for their impact on the vibrational characteristics. Findings show that increasing the shear parameter ([Formula: see text]) leads to a 67.8% rise in the mean frequency of ESMPCP, reflecting the better resistance against vibration of the shear parameter relative to the Winkler parameter ([Formula: see text]) alone. Also, increasing the date seed filler content (10–40%) raises the mean frequency by about 40% and decreases the COV, making it suitable for vibration-sensitive applications.

International Journal of Computational Materials Science and Engineering
Sardar Vallabhbhai National Institute of Technology Surat (IN)
Openalex Percentile: Top 50%
Composite Structure Analysis and Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.