The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Dec. 30, 2025

Filed:

Mar. 08, 2021
Applicant:

California Institute of Technology, Pasadena, CA (US);

Inventors:

Morteza Gharib, Altadena, CA (US);

Emile K. Oshima, Pasadena, CA (US);

Pablo Hermoso Moreno, London, GB;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01N 3/12 (2006.01); G01N 3/06 (2006.01); G06F 30/15 (2020.01); G06F 30/27 (2020.01); G06F 30/28 (2020.01); G06N 3/08 (2023.01); G06F 119/14 (2020.01);
U.S. Cl.
CPC ...
G01N 3/12 (2013.01); G01N 3/068 (2013.01); G06F 30/15 (2020.01); G06F 30/27 (2020.01); G06F 30/28 (2020.01); G06N 3/08 (2013.01); G01N 2203/0246 (2013.01); G01N 2203/0641 (2013.01); G06F 2119/14 (2020.01);
Abstract

A system and method for estimating the shear wall stress of an aerodynamic surface using a tuft visualization technique combined with a physics-informed neural network. The tuft visualization technique is a simplified method of generating velocity profile data of an aerodynamic model that can subsequently be used to generate a shear wall stress profile of the model. Systems and methods described herein also provide for additional input data using an augmented tuft and taps inputs for the physics-informed neural network to generate the shear wall stress profile.


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