Next Article in Journal
Design Optimization of a Small-Scaled Vortex-Induced Vibration Bladeless Wind Turbine with Binary Resonance Controller
Next Article in Special Issue
Multi-Stage Topology Optimization for Structural Redesign of Railway Motor Bogie Frames
Previous Article in Journal
Data-Driven Estimation of Cerchar Abrasivity Index Using Rock Geomechanical and Mineralogical Characteristics
Previous Article in Special Issue
Numerical Stability and Handling Studies of Three-Wheeled Vehicles Using ADAMS/Car
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

High-Fidelity Finite Element Modelling (FEM) and Dynamic Analysis of a Hybrid Aluminium–Honeycomb Railway Vehicle Carbody

Department of Industrial Engineering, University of Florence, 50139 Florence, Italy
*
Author to whom correspondence should be addressed.
Appl. Sci. 2026, 16(1), 549; https://doi.org/10.3390/app16010549
Submission received: 22 October 2025 / Revised: 29 December 2025 / Accepted: 1 January 2026 / Published: 5 January 2026

Abstract

This study presents the development and high-fidelity finite element modelling of an innovative hybrid railway carbody structure, designed to achieve a substantial reduction in mass while maintaining the required mechanical performance under service conditions. The proposed concept integrates a traditional aluminium frame with an advanced honeycomb sandwich panel, joined through adhesive bonding to ensure structural continuity, compensate for thermal effects, and minimize over constraining stresses. Detailed numerical simulations were conducted to evaluate both the static and dynamic behaviour of the structure under the most demanding load cases prescribed by standards. Modal analysis showed excellent agreement with the original carbody, with variations in the first natural frequency about 3%, while a change in the nature of the corresponding eigenvector was observed. Static simulations under maximum vertical loading confirmed comparable stiffness and stress distributions. Localised stress peaks increased by approximately 19%; the corresponding material utilization factor remained below unity, demonstrating that the structure operates safely within its allowable limits. The introduction of the sandwich panel enabled a mass saving of approximately 60% in the replaced components, corresponding to 3.9% if referred to the whole structure. The results validate the structural feasibility and mechanical reliability of the proposed hybrid concept, laying the foundations for the subsequent experimental phase and for refining its predictive accuracy and industrial applicability.
Keywords: hybrid structures; finite element analysis (FEA); lightweight design; railway vehicle; adhesive bonding; structural dynamics; composite structures hybrid structures; finite element analysis (FEA); lightweight design; railway vehicle; adhesive bonding; structural dynamics; composite structures

Share and Cite

MDPI and ACS Style

Cascino, A.; Meli, E.; Rindi, A. High-Fidelity Finite Element Modelling (FEM) and Dynamic Analysis of a Hybrid Aluminium–Honeycomb Railway Vehicle Carbody. Appl. Sci. 2026, 16, 549. https://doi.org/10.3390/app16010549

AMA Style

Cascino A, Meli E, Rindi A. High-Fidelity Finite Element Modelling (FEM) and Dynamic Analysis of a Hybrid Aluminium–Honeycomb Railway Vehicle Carbody. Applied Sciences. 2026; 16(1):549. https://doi.org/10.3390/app16010549

Chicago/Turabian Style

Cascino, Alessio, Enrico Meli, and Andrea Rindi. 2026. "High-Fidelity Finite Element Modelling (FEM) and Dynamic Analysis of a Hybrid Aluminium–Honeycomb Railway Vehicle Carbody" Applied Sciences 16, no. 1: 549. https://doi.org/10.3390/app16010549

APA Style

Cascino, A., Meli, E., & Rindi, A. (2026). High-Fidelity Finite Element Modelling (FEM) and Dynamic Analysis of a Hybrid Aluminium–Honeycomb Railway Vehicle Carbody. Applied Sciences, 16(1), 549. https://doi.org/10.3390/app16010549

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop