Machine learning for structural engineering: A state-of-the-art review
HT Thai - Structures, 2022 - Elsevier
Abstract Machine learning (ML) has become the most successful branch of artificial
intelligence (AI). It provides a unique opportunity to make structural engineering more …
intelligence (AI). It provides a unique opportunity to make structural engineering more …
Machine learning algorithms in the environmental corrosion evaluation of reinforced concrete structures-A review
H Jia, G Qiao, P Han - Cement and Concrete Composites, 2022 - Elsevier
Accurate corrosion assessment of reinforced concrete (RC) structures is expected to
improve the service life and durability of structures. However, traditional evaluation methods …
improve the service life and durability of structures. However, traditional evaluation methods …
A framework of structural damage detection for civil structures using a combined multi-scale convolutional neural network and echo state network
Structural health monitoring (SHM) has become a notable method to ensure structural
safety, yet the ability of existing damage detection techniques need improvements on …
safety, yet the ability of existing damage detection techniques need improvements on …
Prediction of the frost resistance of high-performance concrete based on RF-REF: A hybrid prediction approach
X Wu, S Zheng, Z Feng, B Chen, Y Qin, W Xu… - … and Building Materials, 2022 - Elsevier
Infrastructure projects in extremely cold areas have high requirements regarding the frost
resistance of concrete. To more efficiently design concrete mix proportions in engineering …
resistance of concrete. To more efficiently design concrete mix proportions in engineering …
Neural networks for predicting shear strength of CFS channels with slotted webs
VV Degtyarev - Journal of Constructional Steel Research, 2021 - Elsevier
Cold-formed steel channels are made with staggered courses of slots for reduced thermal
conductivity and improved energy efficiency of cold-formed steel buildings. The reduced …
conductivity and improved energy efficiency of cold-formed steel buildings. The reduced …
Prediction of shear capacity of steel channel sections using machine learning algorithms
This study presents the application of popular machine learning algorithms in prediction of
the shear resistance of steel channel sections using experimental and numerical data …
the shear resistance of steel channel sections using experimental and numerical data …
Prediction of long-term deflections of reinforced-concrete members using a novel swarm optimized extreme gradient boosting machine
During the life cycle of buildings and infrastructure systems, the deflection of reinforced-
concrete members generally increases due to both internal and external factors. Accurate …
concrete members generally increases due to both internal and external factors. Accurate …
[PDF][PDF] Explainable Machine Learning Model for Predicting Drift Capacity of Reinforced Concrete Walls.
MA Aladsani, H Burton, SA Abdullah… - ACI Structural …, 2022 - researchgate.net
The ability to predict the drift capacity of reinforced concrete structural walls is critical to the
seismic design process. The accuracy of such predictions has implications for construction …
seismic design process. The accuracy of such predictions has implications for construction …
Wave data prediction with optimized machine learning and deep learning techniques
Abstract Maritime Autonomous Surface Ships are in the development stage and they play an
important role in the upcoming future. Present generation ships are semi-autonomous and …
important role in the upcoming future. Present generation ships are semi-autonomous and …
Prediction and global sensitivity analysis of long-term deflections in reinforced concrete flexural structures using surrogate models
W Dan, X Yue, M Yu, T Li, J Zhang - Materials, 2023 - mdpi.com
Reinforced concrete (RC) is the result of a combination of steel reinforcing rods (which have
high tensile) and concrete (which has high compressive strength). Additionally, the …
high tensile) and concrete (which has high compressive strength). Additionally, the …