PSIDESC | Predictive Simulation of Defects in Structural Composites

Summary
PSIDESC (Predictive Simulation of Defects in Structural Composites) will aim at bringing new methodologies and deployable toolkits for robust design of composite parts and structures with respect to tolerances and defects that are related to the manufacturing process.
The objective is to push acceptable means of compliance based on simulation capable of predicting the range of response that a part may have under uncertainty. Predictive virtual testing including factors of variability coming from the manufacturing phase will:
- reduce the scrapping of parts (through virtual assessment);
- reduce the need for full inspection of parts;
- enhance design and enable further weight savings with a better understanding of effect of variability on the behavior and defect tolerance of different areas of a part.
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/755550
Start date: 01-06-2017
End date: 31-05-2021
Total budget - Public funding: 511 338,75 Euro - 511 338,00 Euro
Cordis data

Original description

PSIDESC (Predictive Simulation of Defects in Structural Composites) will aim at bringing new methodologies and deployable toolkits for robust design of composite parts and structures with respect to tolerances and defects that are related to the manufacturing process.
The objective is to push acceptable means of compliance based on simulation capable of predicting the range of response that a part may have under uncertainty. Predictive virtual testing including factors of variability coming from the manufacturing phase will:
- reduce the scrapping of parts (through virtual assessment);
- reduce the need for full inspection of parts;
- enhance design and enable further weight savings with a better understanding of effect of variability on the behavior and defect tolerance of different areas of a part.

Status

CLOSED

Call topic

JTI-CS2-2016-CFP04-AIR-02-31

Update Date

27-10-2022
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Horizon 2020
H2020-EU.3. SOCIETAL CHALLENGES
H2020-EU.3.4. SOCIETAL CHALLENGES - Smart, Green And Integrated Transport
H2020-EU.3.4.5. CLEANSKY2
H2020-EU.3.4.5.4. ITD Airframe
H2020-CS2-CFP04-2016-02
JTI-CS2-2016-CFP04-AIR-02-31 Numerical methodologies and related tools for effect of defect prediction in manufacturing