Interval-Based Uncertain Dynamic Analysis of Nanotube-Reinforced Polymeric Composite Panel Using Fuzzified FEM-Numerical and Experimental Validation

This research numerically investigates the dynamic responses of carbon nanotube-reinforced polymeric composite (CNTRPC) with uncertain material properties. The numerical solutions are obtained using the finite element model in the framework of equivalent single-layer theory. Further, the uncertain composite properties are evaluated via fuzzy rule steps. First, the deterministic deflections under the transient loadings are evaluated numerically by setting fuzzy membership as zero and verified with earlier published numerical and in-house experimental data. This study introduces the fuzzy finite element method (FFEM) to derive dynamic responses for the first time computationally. Additionally, the composite properties are transformed into fuzzy variables by adding fuzzy logic to evaluate the random composite property variables for computational purposes. Using Newmark’s constant acceleration integration technique, a MATLAB-based computational framework is developed to calculate the dynamic responses of CNT-reinforced composites. The model’s accuracy is validated by comparing computed results with experimental data and published findings based on deterministic composite properties. Furthermore, new numerical examples are presented using the proposed FFEM model, implementing fuzzified elastic properties under transient loading and varying geometrical configurations. Finally, the implications of material uncertainty on the design of nanocomposite components with geometry-dependent parameters are discussed, emphasizing the importance of accounting for these uncertainties in advanced engineering applications.

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Publication Details

Journal
International Journal of Structural Stability and Dynamics
Published
2025-02-06
DOI
https://doi.org/10.1142/s0219455426501762
Primary Topic
Probabilistic and Robust Engineering Design
Type
article
Field-Weighted Citation Impact
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article

Interval-Based Uncertain Dynamic Analysis of Nanotube-Reinforced Polymeric Composite Panel Using Fuzzified FEM-Numerical and Experimental Validation

Amanullah Fatehmulla, Saurav Mallik, Jayant Giri, Vikash Kumar et al.
International Journal of Structural Stability and Dynamics
Probabilistic and Robust Engineering Design
article

Interval-Based Uncertain Dynamic Analysis of Nanotube-Reinforced Polymeric Composite Panel Using Fuzzified FEM-Numerical and Experimental Validation

Amanullah Fatehmulla, Saurav Mallik, Jayant Giri, Vikash Kumar, Naveen Kumar Akkasali, Ankit Gangwar, Subrata Kumar Panda, Nikita Kumari
article en

Abstract

This research numerically investigates the dynamic responses of carbon nanotube-reinforced polymeric composite (CNTRPC) with uncertain material properties. The numerical solutions are obtained using the finite element model in the framework of equivalent single-layer theory. Further, the uncertain composite properties are evaluated via fuzzy rule steps. First, the deterministic deflections under the transient loadings are evaluated numerically by setting fuzzy membership as zero and verified with earlier published numerical and in-house experimental data. This study introduces the fuzzy finite element method (FFEM) to derive dynamic responses for the first time computationally. Additionally, the composite properties are transformed into fuzzy variables by adding fuzzy logic to evaluate the random composite property variables for computational purposes. Using Newmark’s constant acceleration integration technique, a MATLAB-based computational framework is developed to calculate the dynamic responses of CNT-reinforced composites. The model’s accuracy is validated by comparing computed results with experimental data and published findings based on deterministic composite properties. Furthermore, new numerical examples are presented using the proposed FFEM model, implementing fuzzified elastic properties under transient loading and varying geometrical configurations. Finally, the implications of material uncertainty on the design of nanocomposite components with geometry-dependent parameters are discussed, emphasizing the importance of accounting for these uncertainties in advanced engineering applications.

International Journal of Structural Stability and Dynamics
Lovely Professional University (IN), Harvard University (US), National Institute of Technology Rourkela (IN), King Saud University (SA), Yashwantrao Chavan Maharashtra Open University (IN), Chitkara University (IN)
Openalex Percentile: Top 98%
Probabilistic and Robust Engineering Design
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