高保真数字双胞胎:检测和定位结构弱点

IF 2.7 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Rainald Löhner, Facundo Airaudo, Harbir Antil, Roland Wüchner, Fabian Meister, Suneth Warnakulasuriya
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引用次数: 0

摘要

我们开发并测试了一种基于邻接法的程序,用于确定结构的薄弱环节,或更广义地说,结构的材料特性。给定一系列载荷情况和相应的位移/应变测量值,通过最小化测量值和计算值之间的加权差来获得材料特性。本文提出并测试了尽量减少荷载情况和传感器数量的技术。几个实例显示了所提方法的可行性、准确性和效率,以及其在高保真数字孪生中的潜在用途。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High-fidelity digital twins: Detecting and localizing weaknesses in structures

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. The present paper proposes and tests techniques to minimize the number of load cases and sensors. Several examples show the viability, accuracy and efficiency of the proposed methodology and its potential use for high fidelity digital twins.

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来源期刊
CiteScore
5.70
自引率
6.90%
发文量
276
审稿时长
5.3 months
期刊介绍: The International Journal for Numerical Methods in Engineering publishes original papers describing significant, novel developments in numerical methods that are applicable to engineering problems. The Journal is known for welcoming contributions in a wide range of areas in computational engineering, including computational issues in model reduction, uncertainty quantification, verification and validation, inverse analysis and stochastic methods, optimisation, element technology, solution techniques and parallel computing, damage and fracture, mechanics at micro and nano-scales, low-speed fluid dynamics, fluid-structure interaction, electromagnetics, coupled diffusion phenomena, and error estimation and mesh generation. It is emphasized that this is by no means an exhaustive list, and particularly papers on multi-scale, multi-physics or multi-disciplinary problems, and on new, emerging topics are welcome.
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