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 …
Artificial neural networks for sustainable development of the construction industry
Artificial Neural Networks (ANNs), the most popular and widely used Artificial Intelligence
(AI) technology due to their proven accuracy and efficiency in control, estimation …
(AI) technology due to their proven accuracy and efficiency in control, estimation …
A deep learning‐based image captioning method to automatically generate comprehensive explanations of bridge damage
Photographs of bridges can reveal considerable technical information such as the part of the
structure that is damaged and the type of damage. Maintenance and inspection engineers …
structure that is damaged and the type of damage. Maintenance and inspection engineers …
Iterative application of generative adversarial networks for improved buried pipe detection from images obtained by ground‐penetrating radar
PJ Chun, M Suzuki, Y Kato - Computer‐Aided Civil and …, 2023 - Wiley Online Library
Ground‐penetrating radar (GPR) is widely used to determine the location of buried pipes
without excavation, and machine learning has been researched to automatically identify the …
without excavation, and machine learning has been researched to automatically identify the …
Failure mode classification and bearing capacity prediction for reinforced concrete columns based on ensemble machine learning algorithm
DC Feng, ZT Liu, XD Wang, ZM Jiang… - Advanced Engineering …, 2020 - Elsevier
Failure mode (FM) and bearing capacity of reinforced concrete (RC) columns are key
concerns in structural design and/or performance assessment procedures. The failure types …
concerns in structural design and/or performance assessment procedures. The failure types …
Recording of bridge damage areas by 3D integration of multiple images and reduction of the variability in detected results
Abstract Machine learning models have been developed to perform damage detection using
images to improve bridge inspection efficiency. However, in damage detection using images …
images to improve bridge inspection efficiency. However, in damage detection using images …
Automatic detection of cracks in asphalt pavement using deep learning to overcome weaknesses in images and GIS visualization
Featured Application This technology can contribute to improving the efficiency and
accuracy of pavement inspection. Abstract The crack ratio is one of the indices used to …
accuracy of pavement inspection. Abstract The crack ratio is one of the indices used to …
[HTML][HTML] Non-destructive strength prediction of composite laminates utilizing deep learning and the stochastic finite element methods
A hybrid methodology based on numerical and non-destructive experimental schemes,
which is able to predict the structural level strength of composite laminates is proposed on …
which is able to predict the structural level strength of composite laminates is proposed on …
Development of a concrete floating and delamination detection system using infrared thermography
P Chun, S Hayashi - IEEE/ASME Transactions on Mechatronics, 2021 - ieeexplore.ieee.org
Spalling of concrete fragments due to the deterioration of concrete structures can cause
property damage or serious and even fatal accidents; thus, there is a need to detect such …
property damage or serious and even fatal accidents; thus, there is a need to detect such …
Predicting tensile strength of spliced and non-spliced steel bars using machine learning-and regression-based methods
Mechanical properties of steel reinforcement bars, which have a critical effect in the overall
performance of reinforced concrete (RC) structures, should be reported and assessed …
performance of reinforced concrete (RC) structures, should be reported and assessed …