[HTML][HTML] Physics-informed machine learning: a comprehensive review on applications in anomaly detection and condition monitoring
Condition monitoring plays a vital role in ensuring the reliability and optimal performance of
various engineering systems. Traditional methods for condition monitoring rely on physics …
various engineering systems. Traditional methods for condition monitoring rely on physics …
[HTML][HTML] A review of ultrasonic sensing and machine learning methods to monitor industrial processes
Supervised machine learning techniques are increasingly being combined with ultrasonic
sensor measurements owing to their strong performance. These techniques also offer …
sensor measurements owing to their strong performance. These techniques also offer …
On continuous health monitoring of bridges under serious environmental variability by an innovative multi-task unsupervised learning method
Abstract Design of an automated and continuous framework is of paramount importance to
structural health monitoring (SHM). This study proposes an innovative multi-task …
structural health monitoring (SHM). This study proposes an innovative multi-task …
Data set from wind, temperature, humidity and cable acceleration monitoring of the Jiashao bridge
Y Ding, XW Ye, Y Guo - Journal of Civil Structural Health Monitoring, 2023 - Springer
With the development of structural health monitoring (SHM) technology, digital of long-span
bridge construction has become the focus of intelligent construction in the future. Data have …
bridge construction has become the focus of intelligent construction in the future. Data have …
[HTML][HTML] A population-based SHM methodology for heterogeneous structures: Transferring damage localisation knowledge between different aircraft wings
Population-based structural health monitoring (PBSHM) offers a new viewpoint for structural
health monitoring (SHM), allowing diagnostic information to be shared across populations of …
health monitoring (SHM), allowing diagnostic information to be shared across populations of …
On statistic alignment for domain adaptation in structural health monitoring
The practical application of structural health monitoring is often limited by the availability of
labelled data. Transfer learning–specifically in the form of domain adaptation (DA)–gives …
labelled data. Transfer learning–specifically in the form of domain adaptation (DA)–gives …
Hierarchical Bayesian modeling for knowledge transfer across engineering fleets via multitask learning
A population‐level analysis is proposed to address data sparsity when building predictive
models for engineering infrastructure. Utilizing an interpretable hierarchical Bayesian …
models for engineering infrastructure. Utilizing an interpretable hierarchical Bayesian …
Development of a rapid hardening ultra-high performance concrete (R-UHPC): From macro properties to micro structure
R Yu, X Zhang, Y Hu, J Li, F Zhou, K Liu… - … and Building Materials, 2022 - Elsevier
The aim of this study is to propose a design and optimization method for developing an Ultra-
High Performance Concrete (UHPC) with rapid setting and hardening characteristics. Firstly …
High Performance Concrete (UHPC) with rapid setting and hardening characteristics. Firstly …
[HTML][HTML] A Bayesian approach for damage assessment in welded structures using Lamb-wave surrogate models and minimal sensing
The increasing mechanical and economical demands in modern systems and structures are
forcing an inevitable need for joining dissimilar materials, thus creating the challenge of …
forcing an inevitable need for joining dissimilar materials, thus creating the challenge of …
A new open‐database benchmark structure for vibration‐based Structural Health Monitoring
Abstract Vibration‐based Structural Health Monitoring is an ongoing field of research in
many engineering disciplines. As for civil engineering, plenty of experimental structures …
many engineering disciplines. As for civil engineering, plenty of experimental structures …