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-based models versus design-oriented models for predicting the axial compressive load of FRP-confined rectangular RC columns
YAK Sayed, AA Ibrahim, AG Tamrazyan… - Engineering Structures, 2023 - Elsevier
To improve the prediction accuracy of axial compressive load of FRP-confined concrete
columns, machine-learning techniques have been used recently. However, few studies have …
columns, machine-learning techniques have been used recently. However, few studies have …
Utilization finite element and machine learning methods to investigation the axial compressive behavior of elliptical FRP-confined concrete columns
Nowadays, elliptical sections are among the geometric shapes that are becoming more and
more popular in the architecture world. Finite element analysis (FEA) software, such as …
more popular in the architecture world. Finite element analysis (FEA) software, such as …
Corrosion life prediction of glass fiber reinforced plastics by optimized BP neural network
L Yingwei - Inorganic Chemistry Communications, 2022 - Elsevier
The retention rate of bending strength (RRBS) of glass fiber reinforced plastics (GFRP) in
service under corrosive conditions is responsible for structural safety. However, it is very …
service under corrosive conditions is responsible for structural safety. However, it is very …
Artificial Neural Networks Model for Predicting the Strength of FRP-Contained Concrete
M John - 2023 Fifth International Conference on Electrical …, 2023 - ieeexplore.ieee.org
Numerous studies have demonstrated that FRP (Fibre-reinforced Polymer) can significantly
increase the strength of concrete columns. Numerous mathematical equations and manual …
increase the strength of concrete columns. Numerous mathematical equations and manual …
Predicting the strength of seashell concrete using Adaptive Neuro-Fuzzy Inference System: An experimental study
S Palanivelu, S Marayanagaraj - ITECKNE, 2023 - revistas.ustabuca.edu.co
Seashell is a hard, protective outer layer created by an animal that lives in the sea. Empty
seashells are often found washed up on beaches by beachcombers. This marine by-product …
seashells are often found washed up on beaches by beachcombers. This marine by-product …
Developing Random Forest, Random Tree, and Linear Regression Models to Predict Compressive Strength of Concrete Using Glass Fiber
A Upadhya, MS Thakur, N Sharma - … of Computational Intelligence …, 2022 - taylorfrancis.com
The prediction of compressive strength of concrete accurately is a cumbersome process and
further many factors contribute to its strength. In this study modeling techniques such as …
further many factors contribute to its strength. In this study modeling techniques such as …
Combined effect of glass and carbon fiber in asphalt concrete mix using computing techniques
A Upadhya, MS Thakur, N Sharma… - Advances in …, 2022 - koreascience.kr
This study investigated and predicted the Marshall stability of glass-fiber asphalt mix, carbon-
fiber asphalt mix and glass-carbon-fiber asphalt (hybrid) mix by using machine learning …
fiber asphalt mix and glass-carbon-fiber asphalt (hybrid) mix by using machine learning …