Artificial-neural-network-based surrogate models for structural health monitoring of civil structures: a literature review
It is often computationally expensive to monitor structural health using computer models.
This time-consuming process can be relieved using surrogate models, which provide cheap …
This time-consuming process can be relieved using surrogate models, which provide cheap …
Combined two-level damage identification strategy using ultrasonic guided waves and physical knowledge assisted machine learning
Abstract Structural Health Monitoring of composite structures is one of the significant
challenges faced by the aerospace industry. A combined two-level damage identification viz …
challenges faced by the aerospace industry. A combined two-level damage identification viz …
Damage characterization using CNN and SAE of broadband Lamb waves
F Gao, J Hua - Ultrasonics, 2022 - Elsevier
The method based on Lamb wave shows great potential for structural health monitoring
(SHM) and nondestructive testing (NDT). Deep learning algorithms including convolutional …
(SHM) and nondestructive testing (NDT). Deep learning algorithms including convolutional …
[HTML][HTML] Elastic constants identification of fibre-reinforced composites by using guided wave dispersion curves and genetic algorithm for improved simulations
There is a great potential for model-based approaches in which guided waves are utilised
for damage detection, localisation and size estimation. However, to be effective, the model …
for damage detection, localisation and size estimation. However, to be effective, the model …
Inverse characterization of composites using guided waves and convolutional neural networks with dual-branch feature fusion
In this work, ultrasonic guided waves and a dual-branch version of convolutional neural
networks are used to solve two different but related inverse problems, ie, finding layup …
networks are used to solve two different but related inverse problems, ie, finding layup …
Real-time determination of elastic constants of composites via ultrasonic guided waves and deep learning
S Wang, Z Luo, J **g, Z Su, X Wu, Z Ni, H Zhang - Measurement, 2022 - Elsevier
An immediate and convenient report of mechanical properties of composites with full
automation is crucial for timely characterizing the time-dependent degradation of material …
automation is crucial for timely characterizing the time-dependent degradation of material …
[HTML][HTML] A probabilistic machine learning framework for stiffness tensor estimation of carbon composite laminate
The potential uses of carbon composite material are vast, particularly in the civil, mechanical
and aero-structures. Nonetheless, the practical utilization of carbon composite faces …
and aero-structures. Nonetheless, the practical utilization of carbon composite faces …
Neural-network-based ultrasonic inspection of offshore coated concrete specimens
A thin layer of protective coating material is applied on the surface of offshore concrete
structures to prevent its degradation, thereby extending the useful life of the structures. The …
structures to prevent its degradation, thereby extending the useful life of the structures. The …
Machine learning-based orthotropic stiffness identification using guided wavefield data
The characterization of the full set of elastic parameters for an orthotropic material is a
complex non-linear inversion problem that requires sophisticated optimization algorithms …
complex non-linear inversion problem that requires sophisticated optimization algorithms …
Diagnosis of interior damage with a convolutional neural network using simulation and measurement data
Current deep learning applications in structural health monitoring (SHM) are mostly related
to surface damage such as cracks and rust. Methods using traditional image processing …
to surface damage such as cracks and rust. Methods using traditional image processing …