Abstract
Valid configuration of inserts is commonly used for assembly in sandwich structures. Inherently, various uncertainty results in variability in mechanical characteristics of inserts, and need to be addressed adequately. This study explores the reliability of inserts in composite pyramidal lattice truss core sandwich panels. Finite element method is utilized to analyze the sources and sensitivity of uncertainty in mechanical properties of constituent materials and geometry of sub-components. To quantify the reliability of the insert structure in the presence of uncertainty, machine learning technology is used to investigate the uncertainty propagation by a statistical description. Failure probability is observed and the insert structure shows outstanding stability under pull-out loading. The thickness of face-sheets and the properties of the bonding interface play large roles in stiffness and strength, respectively. Suitable process controls should be implemented to maintain the both critical parameters at a high and stable level.
| Original language | English |
|---|---|
| Article number | 110888 |
| Journal | Composite Structures |
| Volume | 221 |
| DOIs | |
| State | Published - 1 Aug 2019 |
Keywords
- Finite element modeling
- Insert
- Machine learning
- Pyramidal lattice
- Reliability
- Sandwich
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