HIGH-FIDELITY DIGITAL TWINS: DETECTING AND LOCALIZING WEAKNESSES IN STRUCTURES

被引：0

作者：

Lohner, Rainald ^{[1
]}

Airaudo, Facundo ^{[1
]}

Antil, Harbir ^{[2
]}

Wuechner, Roland ^{[3
]}

Meister, Fabian ^{[3
]}

Warnakulasuriya, Suneth ^{[3
]}

机构：

[1] George Mason Univ, Ctr Computat Fluid Dynam, Fairfax, VA 22030 USA

[2] George Mason Univ, Ctr Math & Artificial Intelligence, Fairfax, VA 22030 USA

[3] TU Braunschweig, Inst Struct Anal, Braunschweig, Germany

来源：

AIAA SCITECH 2024 FORUM | 2024年

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学科分类号：

摘要：

An adjoint-based procedure to determine weaknesses, or, more generally, the material properties of structures is developed and tested. Given a series of load cases and corresponding displacement/strain measurements, the material properties are obtained by minimizing the weighted differences between the measured and computed values. In a subsequent step, techniques to minimize the number of load cases and sensors are proposed and tested. Several examples show the viability, accuracy and efficiency of the proposed methodology and its potential use for high fidelity digital twins.

引用

页数：28

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