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Chapitre D'ouvrage Année : 2022

Challenges for Structural Health Monitoring: Nonlinearities and Uncertainties

Résumé

Implementing structural health monitoring (SHM) techniques with a high Technology Readiness Level (TRL) is still challenging due to several practical requirements and assumptions to apply the fundamental methods. Between them, two issues earn some special attention: the linearity hypothesis and the robustness to the natural variability of data. The first point to overcome is that many structural engineering systems inherently behave nonlinearly during operation, even in a healthy state. Here, the assumption of linearity is typically inaccurate, eliminating large classes of feature extraction techniques. This issue is more complicated when the Damage also induces additional nonlinearities, e.g., cracking. The second aspect is the need to quantify the parameters' variation and uncertainties and signal data to interrogate the structural state. This chapter proposes introducing these challenges and some examples of addressing them in this context.
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hal-03811571 , version 1 (12-10-2022)

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Luis Gustavo Giacon Villani, Sidney Bruce Shiki, Americo Cunha Jr, Samuel da Silva, Michael D. Todd. Challenges for Structural Health Monitoring: Nonlinearities and Uncertainties. Ariosto Bretanha Jorge; Carla Tatiana Mota Anflor; Guilherme Ferreira Gomes; Sergio Henrique da Silva Carneiro. Uncertainty Modeling: Fundamental Concepts and Models, III, University of Brasilia (UnB), pp.258-278, 2022, Book series in Discrete Models, Inverse Methods, & Uncertainty Modeling in Structural. ⟨hal-03811571⟩
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