Machine learning applied to the design and inspection of reinforced concrete bridges: Resilient methods and emerging applications
W Fan, Y Chen, J Li, Y Sun, J Feng, H Hassanin… - Structures, 2021 - Elsevier
Abstract Machine learning is one of the key pillars of industry 4.0 that has enabled rapid
technological advancement through establishing complex connections among …
technological advancement through establishing complex connections among …
Optimizing machine learning algorithms for improving prediction of bridge deck deterioration: A case study of Ohio bridges
A Rashidi Nasab, H Elzarka - Buildings, 2023 - mdpi.com
The deterioration of a bridge's deck endangers its safety and serviceability. Ohio has
approximately 45,000 bridges that need to be monitored to ensure their structural integrity …
approximately 45,000 bridges that need to be monitored to ensure their structural integrity …
Knowledge driven approach for smart bridge maintenance using big data mining
Y Jiang, G Yang, H Li, T Zhang - Automation in Construction, 2023 - Elsevier
Life cycle bridge maintenance is highly complex and multi-disciplinary oriented. Advanced
technologies have been widely adopted, but the generated data and information are often …
technologies have been widely adopted, but the generated data and information are often …
Automated identification of substantial changes in construction projects of airport improvement program: Machine learning and natural language processing …
R Khalef, IH El-adaway - Journal of management in engineering, 2021 - ascelibrary.org
Contractual changes—mainly substantial changes—within airport improvement program
(AIP) projects represent a critical risk that could result in severe negative time and cost …
(AIP) projects represent a critical risk that could result in severe negative time and cost …
Calculation of dam risk probability of cascade reservoirs considering risk transmission and superposition
T Wang, Z Li, W Ge, Y Zhang, Y Jiao, H Sun… - Journal of Hydrology, 2022 - Elsevier
Because of the risk transmission and superposition among dams in cascade reservoirs, the
analysis and probability calculation of dam risk become more complex compared with a …
analysis and probability calculation of dam risk become more complex compared with a …
Impact of dynamic workforce and workplace variables on the productivity of the construction industry: New gross construction productivity indicator
R Assaad, IH El-Adaway - Journal of management in engineering, 2021 - ascelibrary.org
Construction productivity is the industry's predominant determinant of performance. Although
the construction industry periodically provides large amount of data, existing studies have …
the construction industry periodically provides large amount of data, existing studies have …
[HTML][HTML] Development of numerical model-based machine learning algorithms for different healing stages of distal radius fracture healing
Background and objectives Early therapeutic exercises are vital for the healing of distal
radius fractures (DRFs) treated with the volar locking plate. However, current development of …
radius fractures (DRFs) treated with the volar locking plate. However, current development of …
A scoping review of information-modeling development in bridge management systems
Transportation assets represent a critical element of public infrastructures, and bridge
networks are an essential part of these assets. A system that includes several tools for …
networks are an essential part of these assets. A system that includes several tools for …
Structural deterioration knowledge ontology towards physics-informed machine learning for enhanced bridge deterioration prediction
The structural deterioration knowledge in existing mathematical physics models offers a
unique opportunity to develop data-driven, physics-informed machine learning (ML) for …
unique opportunity to develop data-driven, physics-informed machine learning (ML) for …
Predicting natural gas pipeline failures caused by natural forces: an artificial intelligence classification approach
Pipeline networks are a crucial component of energy infrastructure, and natural force
damage is an inevitable and unpredictable cause of pipeline failures. Such incidents can …
damage is an inevitable and unpredictable cause of pipeline failures. Such incidents can …