Automated detection and segmentation of internal defects in reinforced concrete using deep learning on ultrasonic images

ST Kuchipudi, D Ghosh - Construction and Building Materials, 2024 - Elsevier
Periodic inspection of concrete structures for detecting internal defects through
nondestructive imaging is recommended for ensuring structural safety and integrity …

Internal defect detection quantification and three-dimensional localization based on impact echo and classification learning model

Y Wu, J Zhang, C Gao, J Xu - Measurement, 2023 - Elsevier
Accurately identifying, localizing, and characterizing internal defects is crucial for ensuring
the safety and durability of concrete structures. While impact echo (IE) is a highly promising …

Adaptive multi-layer empirical Ramanujan decomposition and its application in roller bearing fault diagnosis

H Pan, Y Zhang, J Cheng, J Zheng, J Tong - Measurement, 2023 - Elsevier
Traditional signal processing methods cannot effectively segment the optimal frequency
band, resulting in the fault characteristics are not obvious. Therefore, this paper proposes a …

A vibration signal decomposition method for time-varying structures using empirical multi-synchroextracting decomposition

YZ Li, SE Fang - Mechanical Systems and Signal Processing, 2025 - Elsevier
To improve the mode decomposition capacity of the empirical Fourier transform for time-
varying structures, an empirical multi-synchroextracting decomposition method has been …

Ultrasonic probes and echo time algorithms in ultrasonic gas flow measurement systems: Progress and perspectives

Z Wei, X Zhao, L Han, N Zhao, L Fang - Physics of Fluids, 2025 - pubs.aip.org
Ultrasonic gas flowmeters employ non-intrusive measurement techniques, characterized by
rapid responsiveness and exceptional anti-interference capabilities. These attributes not …

Predictive evaluation of dynamic responses and frequencies of bridge using optimized VMD and genetic algorithm-back propagation approach

M Wang, C Xiong, Z Shang - Journal of Civil Structural Health Monitoring, 2024 - Springer
The large amount of data collected by structural health monitoring systems deployed in the
bridge contains dynamic information about the structure. To enhance the prediction …

[HTML][HTML] Enhancing load prediction for structures with concrete overlay using transfer learning of time–frequency feature-based deep models

P Khademi, M Mousavi, U Dackermann… - Engineering …, 2024 - Elsevier
This study proposes a method to predict applied loads on bonded structures via non-
destructive testing results. Various types of concrete, such as high-performance alkali …

An evolutionary deep learning approach using flexible variable-length dynamic stochastic search for anomaly detection of robot joints

Q Liu, Y Yu, BS Han, W Zhou - Applied Soft Computing, 2025 - Elsevier
Anomaly detection is crucial for condition monitoring of robot joints. An increasing number of
anomaly detection methods based on deep learning have been investigated. However …

Symplectic Geometry Transformation-Based Periodic Segment Method: Algorithm and Applications

H Pan, Y Zhang, J Cheng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Symplectic geometry mode decomposition (SGMD) method takes the Hankel matrix as the
trajectory matrix, and the eigenvalue of trajectory matrix can be obtained by symplectic …

Ultrasonic computed tomography-based internal-defect detection and location of underwater concrete piers

W Sun, S Hou, J Fan, G Wu, F Ma - Smart Materials and …, 2023 - iopscience.iop.org
Concrete piers are the key load-bearing components of wading bridges. Most detection
equipment and methods focus on the surface defects of underwater piers, whereas the …