Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights
Conventional damage detection techniques are gradually being replaced by state-of-the-art
smart monitoring and decision-making solutions. Near real-time and online damage …
smart monitoring and decision-making solutions. Near real-time and online damage …
Emerging artificial intelligence methods in structural engineering
H Salehi, R Burgueño - Engineering structures, 2018 - Elsevier
Artificial intelligence (AI) is proving to be an efficient alternative approach to classical
modeling techniques. AI refers to the branch of computer science that develops machines …
modeling techniques. AI refers to the branch of computer science that develops machines …
Review of bridge structural health monitoring aided by big data and artificial intelligence: From condition assessment to damage detection
Structural health monitoring (SHM) techniques have been widely used in long-span bridges.
However, due to limitations of computational ability and data analysis methods, the …
However, due to limitations of computational ability and data analysis methods, the …
A review of machine learning methods applied to structural dynamics and vibroacoustic
Abstract The use of Machine Learning (ML) has rapidly spread across several fields of
applied sciences, having encountered many applications in Structural Dynamics and …
applied sciences, having encountered many applications in Structural Dynamics and …
Eliminating environmental and operational effects on structural modal frequency: A comprehensive review
Z Wang, DH Yang, TH Yi, GH Zhang… - Structural Control and …, 2022 - Wiley Online Library
Modal frequencies are widely used for vibration‐based structural health monitoring (SHM)
and for capturing the dynamics of a monitored structure to reveal possible failures. However …
and for capturing the dynamics of a monitored structure to reveal possible failures. However …
A feature extraction & selection benchmark for structural health monitoring
T Buckley, B Ghosh, V Pakrashi - Structural Health …, 2023 - journals.sagepub.com
There are a large number of time domain, frequency domain and time-frequency signal
processing methods available for univariate feature extraction. However, there is no …
processing methods available for univariate feature extraction. However, there is no …
Investigation of temperature effects into long-span bridges via hybrid sensing and supervised regression models
Temperature is an important environmental factor for long-span bridges because it induces
thermal loads on structural components that cause considerable displacements, stresses …
thermal loads on structural components that cause considerable displacements, stresses …
Unsupervised data normalization for continuous dynamic monitoring by an innovative hybrid feature weighting-selection algorithm and natural nearest neighbor …
H Sarmadi, A Entezami… - Structural Health …, 2023 - journals.sagepub.com
Continuous dynamic monitoring brings an important opportunity to evaluate the health and
integrity of civil structures in a long-term manner. However, high dimensionality and sparsity …
integrity of civil structures in a long-term manner. However, high dimensionality and sparsity …
Elimination of thermal effects from limited structural displacements based on remote sensing by machine learning techniques
Confounding variability caused by environmental and/or operational conditions is a big
challenge in the structural health monitoring (SHM) of large-scale civil structures. The …
challenge in the structural health monitoring (SHM) of large-scale civil structures. The …
Design and implementation of a new system for large bridge monitoring—GeoSHM
Structural Health Monitoring (SHM) is a relatively new branch of civil engineering that
focuses on assessing the health status of infrastructure, such as long-span bridges. Using a …
focuses on assessing the health status of infrastructure, such as long-span bridges. Using a …