Critical review of data-driven decision-making in bridge operation and maintenance
Bridges are critical infrastructure, and effective operation and maintenance (O&M) is
essential for ensuring the good condition of bridges. Owing to the increasing complexity of …
essential for ensuring the good condition of bridges. Owing to the increasing complexity of …
35 Years of (AI) in geotechnical engineering: state of the art
AM Ebid - Geotechnical and Geological Engineering, 2021 - Springer
It was 35 years ago since the first usage of Artificial Intelligence (AI) technique in
geotechnical engineering, during those years many (AI) techniques were developed based …
geotechnical engineering, during those years many (AI) techniques were developed based …
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 …
Review of hydraulic bridge failures: Historical statistic analysis, failure modes, and prediction methods
Hydraulic factors have become the principal causes of bridge failures since the 1990s. They
account for around 50% of bridge failures in the database constructed by the present …
account for around 50% of bridge failures in the database constructed by the present …
Using an evolutionary heterogeneous ensemble of artificial neural network and multivariate adaptive regression splines to predict bearing capacity in axial piles
Accurately estimating the bearing capacity of piles is an onerous task in structural design
task that requires a powerful computation model able to elucidate nonlinear impacts of …
task that requires a powerful computation model able to elucidate nonlinear impacts of …
The application of soft computing models and empirical formulations for hydraulic structure scouring depth simulation: a comprehensive review, assessment and …
Prediction of scouring characteristics is one of the major issues in hydraulic and hydrology
engineering. Over the past five decades, numerous empirical formulations (EFs), based on …
engineering. Over the past five decades, numerous empirical formulations (EFs), based on …
Dynamic feature selection for accurately predicting construction productivity using symbiotic organisms search-optimized least square support vector machine
Productivity is one of the crucial elements for managing construction operations effectively
which directly impacts on general cost and time of a project. The accurate prediction of …
which directly impacts on general cost and time of a project. The accurate prediction of …
Scour depth prediction at bridge piers using metaheuristics-optimized stacking system
This paper proposes a novel artificial intelligence-based approach, called the metaheuristics-
optimized stacking system (MOSS), to assist civil engineers in estimating scour depth at …
optimized stacking system (MOSS), to assist civil engineers in estimating scour depth at …
Abutment scour depth modeling using neuro-fuzzy-embedded techniques
Bridge pier scour hole is formed during major flood events due to a complex vortex flow
around the abutments and causes the failure of foundation. Therefore, accurate prediction of …
around the abutments and causes the failure of foundation. Therefore, accurate prediction of …
An advanced meta-learner based on artificial electric field algorithm optimized stacking ensemble techniques for enhancing prediction accuracy of soil shear strength
Shear strength is a crucial property of soils regarded as its intrinsic capacity to resist failure
when forces act on the soil mass. This study proposes an advanced meta-leaner to discern …
when forces act on the soil mass. This study proposes an advanced meta-leaner to discern …