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Linear-Nonlinear Stiffness Responses of Carbon Fiber-Reinforced Polymer Composite Materials and Structures: A
S S R Koloor1,2, A Karimzadeh2, M R Abdullah3
1Department of Aerospace Engineering, Universiti Putra Malaysia, UPM Serdang 43400, Selangor Darul Ehsan, Malaysia.
This study numerically investigates carbon fiber-reinforced polymer (CFRP) composite stiffness. Results show stiffness depends on material properties, structural design, and geometry for accurate model validation.
Area of Science:
- Materials Science
- Mechanical Engineering
- Computational Mechanics
Background:
- Stiffness response (load-deformation behavior) is crucial for validating computational models against experimental data.
- Carbon Fiber-Reinforced Polymers (CFRPs) are advanced materials requiring accurate mechanical behavior prediction.
- Understanding stiffness dependency on material and structural parameters is key for reliable engineering applications.
Purpose of the Study:
- To numerically investigate the linear and nonlinear stiffness behavior of CFRP composites.
- To analyze the influence of elastic and damage model parameters on stiffness at material and structural levels.
- To determine the impact of structural configuration and geometry on the overall stiffness response.
Main Methods:
- Development of a finite element model incorporating a validated constitutive damage model.
- Simulation of elastic, yielding, and damage evolution processes.
- Examination of stiffness responses for a unidirectional laminate and three multidirectional composite structures under different loading conditions.
Main Results:
- Material-level stiffness in CFRP composites is directly dependent on elastic properties.
- Structural-level stiffness is influenced by a combination of material properties, structural configuration, geometry, and lay-up.
- Maximum reaction forces, displacements, and nonlinear responses are highly sensitive to both mechanical properties and structural design.
Conclusions:
- Accurate prediction of CFRP composite stiffness requires consideration of both material characteristics and structural design factors.
- The study provides insights into parameter dependencies for enhancing the fidelity of computational models for composite structures.
- This research aids in the development of more reliable mathematical-physical models for engineering applications involving CFRP composites.
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