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 …
State-of-the-art AI-based computational analysis in civil engineering
C Wang, L Song, Z Yuan, J Fan - Journal of Industrial Information …, 2023 - Elsevier
With the informatization of the building and infrastructure industry, conventional analysis
methods are gradually proving inadequate in meeting the demands of the new era, such as …
methods are gradually proving inadequate in meeting the demands of the new era, such as …
Data-driven shear strength prediction of steel fiber reinforced concrete beams using machine learning approach
The incorporation of steel fibers in a concrete mix enhances the shear capacity of reinforced
concrete beams and a comprehensive understanding of this phenomenon is imperative to …
concrete beams and a comprehensive understanding of this phenomenon is imperative to …
Machine learning prediction of compressive strength for phase change materials integrated cementitious composites
Incorporating phase change materials (PCMs) into cementitious composites has recently
attracted paramount interest. While it can enhance thermal characteristics and energy …
attracted paramount interest. While it can enhance thermal characteristics and energy …
Reinforced concrete deep beam shear strength capacity modelling using an integrative bio-inspired algorithm with an artificial intelligence model
G Zhang, ZH Ali, MS Aldlemy, MH Mussa… - Engineering with …, 2022 - Springer
The design and sustainability of reinforced concrete deep beam are still the main issues in
the sector of structural engineering despite the existence of modern advancements in this …
the sector of structural engineering despite the existence of modern advancements in this …
Prediction of maximum pitting corrosion depth in oil and gas pipelines
Avoiding failures of corroded steel structures are critical in offshore oil and gas operations.
An accurate prediction of maximum depth of pitting corrosion in oil and gas pipelines has …
An accurate prediction of maximum depth of pitting corrosion in oil and gas pipelines has …
Compressive strength of Foamed Cellular Lightweight Concrete simulation: New development of hybrid artificial intelligence model
Accurate prediction of compressive strength (fc) is one of the crucial problems in the
concrete industry. In this study, novel self-adaptive and formula-based model called …
concrete industry. In this study, novel self-adaptive and formula-based model called …
A new algorithm for normal and large-scale optimization problems: Nomadic People Optimizer
SQ Salih, ARA Alsewari - Neural Computing and Applications, 2020 - Springer
Metaheuristic algorithms have received much attention recently for solving different
optimization and engineering problems. Most of these methods were inspired by nature or …
optimization and engineering problems. Most of these methods were inspired by nature or …
Predicting the compressive strength of self‐compacting concrete containing Class F fly ash using metaheuristic radial basis function neural network
The use of Class F fly ash (CFFA) as a partial replacement of cement in the concrete mixture
can provide a wide variety benefits such as improving the mechanical properties, reducing …
can provide a wide variety benefits such as improving the mechanical properties, reducing …
Prediction of the residual flexural strength of fiber reinforced concrete using artificial neural networks
M Congro, VM de Alencar Monteiro… - … and Building Materials, 2021 - Elsevier
The work in hand proposes Artificial Neural Networks (ANN) to predict the residual strength
of fiber reinforced concrete under bending load. A database containing experimental and …
of fiber reinforced concrete under bending load. A database containing experimental and …