[HTML][HTML] A systematic review of data fusion techniques for optimized structural health monitoring

S Hassani, U Dackermann, M Mousavi, J Li - Information Fusion, 2023 - Elsevier
Advancements in structural health monitoring (SHM) techniques have spiked in the past few
decades due to the rapid evolution of novel sensing and data transfer technologies. This …

Literature Review on the Structural Health Monitoring (SHM) of Sustainable Civil Infrastructure: An Analysis of Influencing Factors in the Implementation

G Wang, J Ke - Buildings, 2024 - mdpi.com
Structural health monitoring (SHM) of civil infrastructure is significant for sustainable
development. This review aims to identify the factors influencing sustainable civil …

Real-time Bayesian damage identification enabled by sparse PCE-Kriging meta-modelling for continuous SHM of large-scale civil engineering structures

E García-Macías, F Ubertini - Journal of Building Engineering, 2022 - Elsevier
This work presents a surrogate model-based Bayesian model updating (BMU) approach for
automated damage identification of large-scale structures, which outperforms methods …

[HTML][HTML] A multi-fidelity surrogate model for structural health monitoring exploiting model order reduction and artificial neural networks

M Torzoni, A Manzoni, S Mariani - Mechanical Systems and Signal …, 2023 - Elsevier
Stochastic approaches to structural health monitoring (SHM) are often inevitably limited by
computational constraints. For instance, for Markov chain Monte Carlo algorithms relying …

[HTML][HTML] Model-assisted clustering for automated operational modal analysis of partially continuous multi-span bridges

E Tomassini, E García-Macías, E Reynders… - … Systems and Signal …, 2023 - Elsevier
Long multi-span bridges represent a broad section of the civil roadway infrastructure.
Despite being so common, their condition-based maintenance through vibration-based …

P3P: A software suite for autonomous SHM of bridge networks

E García-Macías, A Ruccolo, MA Zanini… - Journal of Civil …, 2023 - Springer
This paper presents the development of a new software code for the fully autonomous
management of permanent integrated Structural Health Monitoring (SHM) systems installed …

[HTML][HTML] Heteroscedastic Gaussian processes for data normalisation in probabilistic novelty detection of a wind turbine

C Jonscher, S Möller, L Liesecke, B Hofmeister… - Engineering …, 2024 - Elsevier
This study investigates the data normalisation of modal parameters of an operating concrete–
steel hybrid onshore wind turbine tower considering also the identification uncertainty. In …

Meta-model assisted continuous vibration-based damage identification of a historical rammed earth tower in the Alhambra complex

E García-Macías, IA Hernández-González… - International Journal …, 2024 - Taylor & Francis
This work presents the development of a model-based online damage identification system
for a 13th century rammed earth (RE) tower in the Alhambra, the Muhammad Tower. The …

Damage Identification of Railway Bridges through Temporal Autoregressive Modeling

S Anastasia, E García-Macías, F Ubertini, V Gattulli… - Sensors, 2023 - mdpi.com
The damage identification of railway bridges poses a formidable challenge given the large
variability in the environmental and operational conditions that such structures are subjected …

Damage Detection with Data-Driven Machine Learning Models on an Experimental Structure

YL Alemu, T Lahmer, C Walther - Eng, 2024 - mdpi.com
Various techniques have been employed to detect damage in civil engineering structures.
Apart from the model-based approach, which demands the frequent updating of its …