Adjoint-based determination of weaknesses in structures

FN Airaudo, R Löhner, R Wüchner, H Antil - Computer Methods in Applied …, 2023‏ - Elsevier
An adjoint-based procedure to determine weaknesses, or, more generally the material
properties of structures is developed and tested. Given a series of force and …

High‐fidelity digital twins: Detecting and localizing weaknesses in structures

R Löhner, F Airaudo, H Antil, R Wüchner… - International Journal …, 2024‏ - Wiley Online Library
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 …

[HTML][HTML] Detection of material degradation of a composite cylinder using mode shapes and convolutional neural networks

B Miller, L Ziemiański - Materials, 2021‏ - mdpi.com
This paper presents a numerical study of the feasibility of using vibration mode shapes to
identify material degradation in composite structures. The considered structure is a …

Orthotropic elastic material inversion through PDE constrained optimization

MN Guddati, TF Walsh - Mechanical Systems and Signal Processing, 2023‏ - Elsevier
This paper addresses the problem of orthotropic material inversion from mechanical
responses, with particular emphasis on the parametrization of the modulus tensor (matrix) …

[HTML][HTML] Identification of mode shapes of a composite cylinder using convolutional neural networks

B Miller, L Ziemiański - Materials, 2021‏ - mdpi.com
The aim of the following paper is to discuss a newly developed approach for the
identification of vibration mode shapes of multilayer composite structures. To overcome the …

Pragmatic Uncertainty Quantification and Propagation in Inverse Estimation of Structural Dynamics Parameters given Material Property Uncertainties and Limited …

VJ Romero, CM Sanders, T Walsh, C McCormick - 2023‏ - osti.gov
In this report we demonstrate some relatively simple and inexpensive methods to effectively
account for various sources of epistemic lack-of-knowledge type uncertainty in inverse …

Sierra/SD-User's Manual-5.4

N Crane, D Day, C Dohrmann, B Stevens, P Lindsay… - 2021‏ - osti.gov
Sierra/SD provides a massively parallel implementation of structural dynamics finite element
analysis, required for high-fidelity, validated models used in modal, vibration, static and …

High-Fidelity Digital Twins: Zooming in on Weaknesses in Structures

R Lohner, F Airaudo, H Antil, R Wuechner… - AIAA SCITECH 2025 …, 2025‏ - arc.aiaa.org
An adjoint-based procedure to determine weaknesses, or, more generally, the material
properties of structures is improved by implementing two techniques to progressively reduce …

Mechanics Informed Neutron Noise Monitoring to Perform Remote Condition Assessment for Reactor Vessel Internals

GA Banyay, MJ Palamara… - … -ASME Journal of …, 2022‏ - asmedigitalcollection.asme.org
The use of neutron noise analysis in pressurized water reactors to detect and diagnose
degradation represents the practice of pro-active structural health monitoring for reactor …

High-Fidelity Digital Twins: Detecting and Localizing Weaknesses in Structures

R Löhner, FN Airaudo, H Antil, R Wüchner… - arxiv preprint arxiv …, 2023‏ - arxiv.org
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 …