Probabilistic Damage Detection in a Post-Tensioned Concrete Bridge Using Bayesian Neural Networks for Continuous Model Updating: a Numerical Study

Authors

Filippo Ubertini (ORCID: https://orcid.org/0000-0002-5044-8482)
Ilaria Venanzi (ORCID: https://orcid.org/0000-0003-3858-9407)
Laura Ierimonti (ORCID: https://orcid.org/0000-0001-9420-9849)
F. Mariani (ORCID: https://orcid.org/0009-0006-9188-3348)

Institutions

University of Perugia (IT)

Publication Details

Journal: SPIRE - Sciences Po Institutional REpository
Published: 2025-05-20
Primary Topic: Structural Health Monitoring Techniques
Type: article
Field-Weighted Citation Impact: 0.00

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article

Probabilistic Damage Detection in a Post-Tensioned Concrete Bridge Using Bayesian Neural Networks for Continuous Model Updating: a Numerical Study

Filippo Ubertini, Ilaria Venanzi, Laura Ierimonti, F. Mariani

May 20, 2025

SPIRE - Sciences Po Institutional REpository

Structural Health Monitoring Techniques

article

Probabilistic Damage Detection in a Post-Tensioned Concrete Bridge Using Bayesian Neural Networks for Continuous Model Updating: a Numerical Study

Filippo Ubertini, Ilaria Venanzi, Laura Ierimonti, F. Mariani

May 20, 2025article en

Abstract

No abstract available for this paper.

SPIRE - Sciences Po Institutional REpository

University of Perugia (IT)

Openalex Percentile: Top 60%

Structural Health Monitoring Techniques

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Probabilistic Damage Detection in a Post-Tensioned Concrete Bridge Using Bayesian Neural Networks for Continuous Model Updating: a Numerical Study — Filippo Ubertini, Ilaria Venanzi, et al. · SPIRE - Sciences Po Institutional REpository (2025) | TGRS Research Map | TGRS