Assessment of the Influence of Boundary Conditions on the Accuracy of Impact Force Identification

This article focuses on the identification of impact forces acting on elastic struc-tures, a key area of structural health monitoring (SHM). The objective is to ana-lyze the effect of boundary conditions on the accuracy of force reconstruction. Structural health monitoring is an inverse problem that is both complex and gen-erally considered ill-posed. In particular, the deconvolution of measured signals is inherently unstable, requiring the application of Tikhonov regularization to obtain a reliable solution. The formulation of the forward problem is presented under the assumption of elastic supports. Using the Euler-Bernoulli model, the study leads to the development of the transfer matrix equation based on the deformation response. Simulations performed on a beam show that support stiffness plays a central role in the accuracy of force reconstruction. When the supports are too flexible, the reconstruction error is significant, especially in the presence of noise. However, beyond a certain stiffness threshold, the error stabilizes, indicating the existence of an optimal rigidity level.

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Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-10-27
DOI
https://doi.org/10.1051/matecconf/202541502001/pdf
Primary Topic
Structural Health Monitoring Techniques
Type
article
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article

Assessment of the Influence of Boundary Conditions on the Accuracy of Impact Force Identification

Mohamed Tahiri, Mohammed Affaki, Abdelali El Bakari
Springer Link (Chiba Institute of Technology)
Structural Health Monitoring Techniques
article

Assessment of the Influence of Boundary Conditions on the Accuracy of Impact Force Identification

Mohamed Tahiri, Mohammed Affaki, Abdelali El Bakari
article en

Abstract

This article focuses on the identification of impact forces acting on elastic struc-tures, a key area of structural health monitoring (SHM). The objective is to ana-lyze the effect of boundary conditions on the accuracy of force reconstruction. Structural health monitoring is an inverse problem that is both complex and gen-erally considered ill-posed. In particular, the deconvolution of measured signals is inherently unstable, requiring the application of Tikhonov regularization to obtain a reliable solution. The formulation of the forward problem is presented under the assumption of elastic supports. Using the Euler-Bernoulli model, the study leads to the development of the transfer matrix equation based on the deformation response. Simulations performed on a beam show that support stiffness plays a central role in the accuracy of force reconstruction. When the supports are too flexible, the reconstruction error is significant, especially in the presence of noise. However, beyond a certain stiffness threshold, the error stabilizes, indicating the existence of an optimal rigidity level.

Springer Link (Chiba Institute of Technology)
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Structural Health Monitoring Techniques
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