State-of-the-art review on advancements of data mining in structural health monitoring
To date, data mining (DM) techniques, ie artificial intelligence, machine learning, and
statistical methods have been utilized in a remarkable number of structural health monitoring …
statistical methods have been utilized in a remarkable number of structural health monitoring …
Nonlinear ultrasonic testing and data analytics for damage characterization: A review
Nondestructive testing and evaluation (NDT&E) are commonly used in the industry for their
ability to identify damage and assess material conditions. Ultrasonic testing (UT) is one of …
ability to identify damage and assess material conditions. Ultrasonic testing (UT) is one of …
On the use of machine learning for damage assessment in composite structures: a review
RF Ribeiro Junior, GF Gomes - Applied Composite Materials, 2024 - Springer
Composite materials are those formed by combining two or more different materials to take
advantage of the best characteristics of each one. However, due to this heterogeneity …
advantage of the best characteristics of each one. However, due to this heterogeneity …
Co-Kriging strategy for structural health monitoring of bridges
HC Novais, S da Silva… - Structural Health …, 2024 - journals.sagepub.com
Computational models are crucial in applied science and engineering, offering valuable
insights on the behavior of strutures and mechanical systems. However, their effectiveness …
insights on the behavior of strutures and mechanical systems. However, their effectiveness …
Damage quantification using transfer component analysis combined with Gaussian process regression
M Omori Yano, S da Silva… - Structural Health …, 2023 - journals.sagepub.com
Machine learning methods used in Structural Health Monitoring applications still have
generalization difficulties among structures, even when structures are nominally and …
generalization difficulties among structures, even when structures are nominally and …
[HTML][HTML] Defect detection in synthetic fibre ropes using detectron2 framework
Fibre ropes with the latest technology have emerged as an appealing alternative to steel
ropes for offshore industries due to their lightweight and high tensile strength. At the same …
ropes for offshore industries due to their lightweight and high tensile strength. At the same …
Lamb wave-based damage localization and quantification in composites using probabilistic imaging algorithm and statistical method
Quantitatively and accurately monitoring the damage to composites is critical for estimating
the remaining life of structures and determining whether maintenance is essential. This …
the remaining life of structures and determining whether maintenance is essential. This …
Damage detection approach for bridges under temperature effects using gaussian process regression trained with hybrid data
The success of detecting damage robustly relies on the availability of long periods of past
data covering multiple weather scenarios and on the information contained in the data used …
data covering multiple weather scenarios and on the information contained in the data used …
Quantification of damage expansion influence on frequency response function of plate for structural health monitoring with integral differential method
This paper presents a feasibility study on damage size quantification throughout the damage
expansion procedure using the integral differential method based on the developed …
expansion procedure using the integral differential method based on the developed …
[HTML][HTML] Ultrasonic guided wave estimation of minimum remaining wall thickness using Gaussian process regression
M Tabatabaeipour, K Tzaferis, R McMillan, W Jackson… - Materials & Design, 2022 - Elsevier
Abstract Ultrasonic Guided Waves (UGW) offer the possibility of inspecting a strip across a
structure rather than just the point under a traditional bulk wave transducer. This can …
structure rather than just the point under a traditional bulk wave transducer. This can …