Recent progress and future trends on damage identification methods for bridge structures
Damage identification forms a key objective in structural health monitoring. Several state‐of‐
the‐art review papers regarding progress in this field up to 2011 have been published. This …
the‐art review papers regarding progress in this field up to 2011 have been published. This …
Big data analytics and structural health monitoring: a statistical pattern recognition-based approach
Recent advances in sensor technologies and data acquisition systems opened up the era of
big data in the field of structural health monitoring (SHM). Data-driven methods based on …
big data in the field of structural health monitoring (SHM). Data-driven methods based on …
Fully convolutional networks for structural health monitoring through multivariate time series classification
We propose a novel approach to structural health monitoring (SHM), aiming at the automatic
identification of damage-sensitive features from data acquired through pervasive sensor …
identification of damage-sensitive features from data acquired through pervasive sensor …
Cost–benefit optimization of structural health monitoring sensor networks
Structural health monitoring (SHM) allows the acquisition of information on the structural
integrity of any mechanical system by processing data, measured through a set of sensors …
integrity of any mechanical system by processing data, measured through a set of sensors …
Damage detection in largely unobserved structures under varying environmental conditions: An autoregressive spectrum and multi-level machine learning …
Vibration-based damage detection in civil structures using data-driven methods requires
sufficient vibration responses acquired with a sensor network. Due to technical and …
sufficient vibration responses acquired with a sensor network. Due to technical and …
[HTML][HTML] Sensor placement for optimal aerodynamic data fusion
A Barklage, M Stradtner, P Bekemeyer - Aerospace Science and …, 2024 - Elsevier
Aircraft design is recently evolving towards a digital twin representation that involves many
heterogeneous data sources. The aerodynamic development of aircraft usually incorporates …
heterogeneous data sources. The aerodynamic development of aircraft usually incorporates …
Health monitoring of large-scale civil structures: An approach based on data partitioning and classical multidimensional scaling
A major challenge in structural health monitoring (SHM) is the efficient handling of big data,
namely of high-dimensional datasets, when damage detection under environmental …
namely of high-dimensional datasets, when damage detection under environmental …
Structural health monitoring sensor network optimization through Bayesian experimental design
Structural health monitoring (SHM) may be exploited to estimate the mechanical properties
of existing structures and check for potential damage. Among commonly used …
of existing structures and check for potential damage. Among commonly used …
On statistical Multi-Objective optimization of sensor networks and optimal detector derivation for structural health monitoring
L Colombo, MD Todd, C Sbarufatti, M Giglio - Mechanical Systems and …, 2022 - Elsevier
Sensor placement and structural health classifiers are fundamental components of Structural
Health Monitoring (SHM) systems, as they largely define system detection (or classification) …
Health Monitoring (SHM) systems, as they largely define system detection (or classification) …
[HTML][HTML] Systematic sensor placement for structural anomaly detection in the absence of damaged states
C Bigoni, Z Zhang, JS Hesthaven - Computer Methods in Applied …, 2020 - Elsevier
In structural health monitoring (SHM), risk assessment and decision strategies rely primarily
on sensor responses. Simulated data can be generated to emulate the monitoring …
on sensor responses. Simulated data can be generated to emulate the monitoring …