Patent · US Active

Bridge damage identification method considering uncertainty

US11709979B1 · kind B1 · utility

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Assignee

Hefei University of Technology · CN

Inventors

Wenyu He · Lianhuan, CN
Zhidong Li · Shanghai, CN
Jing Zhang · Suzhou, CN
Dong Yang · Taiyuan, CN
Zuocai Wang · Hefei, CN

Key dates

Filing date	Oct 28, 2022
Grant date	Jul 25, 2023
Priority date	—
Expiry date	Oct 28, 2042

Classification

Technology area (CPC G)Physics
CPC primaryG06N3/048
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A bridge damage identification method considering uncertainty is used for damage identification based on a convolutional neural network. A domain classifier is added to form a domain adversarial transfer network, a finite element model of a bridge and a time domain acceleration signal of a real structure serve as input, and parameters in a feature extractor are continuously updated in an adversarial process of the domain classifier and the feature extractor, so as to design a brand-new feature extractor, and to achieve a purpose that extracted features are only sensitive to damage. The bridge damage identification method can solve the problem that model-based methods for bridge damage identification are influenced by environment uncertainty or modeling error to generate a difference between the finite element model and the real structure, resulting in reduction in damage identification performance of the method in practical application.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.