Automated crack detection and crack depth prediction for reinforced concrete structures using deep learning

KC Laxman, N Tabassum, L Ai, C Cole… - Construction and Building …, 2023 - Elsevier
Automatic inspection for crack detection and estimation of the crack depth is critical in
assessing the damage and determining the appropriate method of repair in concrete …

A transfer learning approach for acoustic emission zonal localization on steel plate-like structure using numerical simulation and unsupervised domain adaptation

L Ai, B Zhang, P Ziehl - Mechanical Systems and Signal Processing, 2023 - Elsevier
The detection and localization of damage in metallic structures using acoustic emission (AE)
monitoring and artificial intelligence technology such as deep learning has been widely …

[HTML][HTML] Acoustic emission analysis of crack type identification of corroded concrete columns under eccentric loading: A comparative analysis of RA-AF method and …

Z Chen, G Zhang, R He, Z Tian, C Fu, X Jin - Case Studies in Construction …, 2023 - Elsevier
Crack location and type identification of reinforced concrete columns in service is of great
interest to researchers, since it influences the decision-making of maintenance and retrofit …

Localizing damage on stainless steel structures using acoustic emission signals and weighted ensemble regression-based convolutional neural network

L Ai, M Bayat, P Ziehl - Measurement, 2023 - Elsevier
Nuclear power generation is an essential part of the electrical supply in the United States,
and it is an effective way to achieve low carbon power generation. Nuclear power …

[HTML][HTML] Structural health monitoring of stainless-steel nuclear fuel storage canister using acoustic emission

L Ai, V Soltangharaei, B Greer, M Bayat… - Developments in the built …, 2024 - Elsevier
Nuclear power generation constitutes a significant component of the energy infrastructure
within the United States. The dry cask storage system canister, used for storing highly …

An intelligent thyroid diagnosis system utilising multiple ensemble and explainable algorithms with medical supported attributes

A Sutradhar, M Al Rafi, P Ghosh… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The widespread impact of thyroid disease and its diagnosis is a challenging task for
healthcare experts. The conventional technique for predicting such a vital disease is …

Cost-effective methods for flexural strengthening of one-way RC precast flat slab bridges in South Carolina

KC Laxman, A Henderson, E Elbatanouny, L Ai… - … and Building Materials, 2023 - Elsevier
Abstract In South Carolina, there are one-way precast RC flat slab bridges that were
constructed in the 1950 s for H-10 and H-15 design trucks (lower than the current design …

Prestressing wire breakage monitoring using sound event detection

S Farhadi, M Corrado, O Borla… - Computer‐Aided Civil …, 2024 - Wiley Online Library
Detecting prestressed wire breakage in concrete bridges is essential for ensuring safety and
longevity and preventing catastrophic failures. This study proposes a novel approach for …

Generalizing infrastructure inspection: step transfer learning aided extreme learning machine for automated crack detection in concrete structures

M Sohaib, MJ Hasan, J Chen… - … Science and Technology, 2024 - iopscience.iop.org
Identification of damage and selection of a restoration strategy in concrete structures is
contingent upon automatic inspection for crack detection and assessment. Most research on …

Acoustic Emission-Based Detection of Impacts on Thermoplastic Aircraft Control Surfaces: A Preliminary Study

L Ai, S Flowers, T Mesaric, B Henderson, S Houck… - Applied Sciences, 2023 - mdpi.com
The reliability of aircraft control surfaces, constructed from thermoplastic materials, can be
affected by impacts from airborne particles. Recognizing the exact position of such impacts …