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A Data-Driven Digital Twin Approach for the Aging Prediction of Airworthiness of Aircraft Composite Components Accounting for Flight and Environmental

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-21-C-0732
Agency Tracking Number: N211-019-0169
Amount: $239,955.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N211-019
Solicitation Number: 21.1
Solicitation Year: 2021
Award Year: 2021
Award Start Date (Proposal Award Date): 2021-08-05
Award End Date (Contract End Date): 2022-09-26
Small Business Information
566 Glenbrook Drive
Palo Alto, CA 94306-4344
United States
DUNS: 172390481
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Goeric Daeninck
 (650) 530-2435
Business Contact
 Francoise Farhat
Phone: (650) 898-9585
Research Institution

The main objective of this SBIR effort is two-fold. First, to develop a digital twin (DT) of an aircraft structure and its composite components capable of accurate aging predictions for any mission-specific loading and environmental variability, in a manner that enables the assessment of the structural airworthiness of the aircraft and its composite components from a damage tolerance perspective. Second, to identify potential multiphysics trade-offs to enable accelerated testing. To this end, the detailed technical objectives for Phase I are to: - Extend the multiphysics, data-driven modeling (MDD) approach developed at US-NRL to account for hygro-thermal coupling effects. - Incorporate MDD in the nonparametric probabilistic method (NPM) for modeling and quantifying model-form uncertainty, and apply the resulting MDD/NPM framework to data-enrich a finite element model of an aircraft structure and transform it into a DT. - Demonstrate the feasibility of the proposed MDD/NPM framework for predicting the structural airworthiness of an aircraft composite component from a damage tolerance perspective. - Extend MDD to the multiscale setting. - Investigate the influence of the choice of a witness component and its instrumentation on the trustworthiness of the DT for predicting damage effects in a composite component of interest.

* Information listed above is at the time of submission. *

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