A dual experimental/computational data-driven approach for random field modeling based strength estimation analysis of composite structures
From MaRDI portal
Publication:6663280
DOI10.1016/J.CMA.2024.117476MaRDI QIDQ6663280
K. Shirahama, Ryuusuke Takashima, S. Iwama, S. Sakata, George Stefanou, Panagiotis Gavallas, Yuta Arai, Sadayasu Ono
Publication date: 14 January 2025
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
random compositesrandom field modelingstrength estimationdual data-driven approachmultiscale stochastic analysis
Cites Work
- Title not available (Why is that?)
- Sensitivity and randomness in homogenization of periodic fiber-reinforced composites via the response function method
- On the microstructure of open-cell foams and its effect on elastic properties
- Kriging-based approximate stochastic homogenization analysis for composite materials
- Non-homogeneous media and vibration theory
- Preprocessing and postprocessing for materials based on the homogenization method with adaptive finite element methods
- A PCE-based multiscale framework for the characterization of uncertainties in complex systems
- Stochastic finite element analysis of composite structures based on mesoscale random fields of material properties
- Stochastic characterization of multiscale material uncertainties on the fibre-matrix interface stress state of composite variable stiffness plates
- A multi-scale spectral stochastic method for homogenization of multi-phase periodic composites with random material properties
- Past, current and future trends and challenges in non-deterministic fracture mechanics: a review
This page was built for publication: A dual experimental/computational data-driven approach for random field modeling based strength estimation analysis of composite structures
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6663280)
