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June 20, 2026Results in EngineeringOpen Access

Two-Level Condensation for Stochastic Dynamic Analysis: Enriched Karhunen-Loeve Basis and Extended Polynomial Chaos Expansion

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Authors

RMRiadh MajedMGMohamed GuedriFAFethi Abbassi

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Overview

Randomized trial evaluates a new method for dynamic analysis in stochastic models, suggesting improved efficiency.

Key Points

  • This work aims to enhance stochastic dynamic analysis in linear elastodynamics through robust computational methods.
  • Developed a computational framework combining stochastic finite element method with dynamic condensation.
  • Extended polynomial chaos expansion to model nonlinear dependence of design parameters.
  • Evaluated the methodology against conventional sampling methods for efficiency.
  • Efficiency gains in computational cost compared to Latin Hypercube Sampling methods.
  • Improved analysis of large-scale finite element models with nonlinear parameter dependence.
  • Demonstrated robustness in handling uncertainties across various design parameters.

Cite This Study

Majed et al. (2026) studied this question.

synapsesocial.com/papers/6a363123db0793dc1a5381c4https://doi.org/10.1016/j.rineng.2026.111627
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