Application of machine learning models in the capacity prediction of RCFST columns
K Megahed, NS Mahmoud, SEM Abd-Rabou - Scientific Reports, 2023 - nature.com
Rectangular concrete-filled steel tubular (RCFST) columns are widely used in structural
engineering due to their excellent load-carrying capacity and ductility. However, existing …
engineering due to their excellent load-carrying capacity and ductility. However, existing …
Covariance matrix adapted grey wolf optimizer tuned eXtreme gradient boost for bi-directional modelling of direct metal deposition process
The process of direct metal deposition for cladding has become extremely popular. Online
condition monitoring of the process is necessary to obtain a desired clad geometry. The …
condition monitoring of the process is necessary to obtain a desired clad geometry. The …
Axial strength prediction of steel tube confined concrete columns using a hybrid machine learning model
Estimating the axial strength of steel tube confined concrete (STCC) columns is challenging
because it depends nonlinearly on the concrete compressive strength, the yield stress of …
because it depends nonlinearly on the concrete compressive strength, the yield stress of …
Prediction of axial capacity of concrete filled steel tubes using gene expression programming
The safety and economy of an infrastructure project depends on the material and design
equations used to simulate the performance of a particular member. A variety of materials …
equations used to simulate the performance of a particular member. A variety of materials …
Predicting compressive strength of green concrete using hybrid artificial neural network with genetic algorithm
L Pan, Y Wang, K Li, X Guo - Structural Concrete, 2023 - Wiley Online Library
With the growing usage of supplementary cementitious materials (silica fume, fly ash, and
ground blast furnace slag, etc.) in concrete, accurate prediction of green concrete …
ground blast furnace slag, etc.) in concrete, accurate prediction of green concrete …
A heuristic-optimized interval regression model for characterizing strength development of cemented soil subjected to varied temperatures
H Cai, C Chen, W Li, F Mao - Construction and Building Materials, 2024 - Elsevier
The inherent bias between inferred results from small-sized data and true values can be
mitigated through the introduction of resampling and interval regression techniques …
mitigated through the introduction of resampling and interval regression techniques …
A novel formulation for predicting the shear strength of RC walls using meta-heuristic algorithms
Reinforced concrete (RC) shear walls play a pivotal role in resisting seismic and lateral
loads within structural frameworks. A thorough examination of the existing literature was …
loads within structural frameworks. A thorough examination of the existing literature was …
Satin bowerbird optimizer-neural network for approximating the capacity of CFST columns under compression
Y Liu, Y Liang - Scientific Reports, 2024 - nature.com
Concrete-filled steel tube columns (CFSTCs) are important elements in the construction
sector and predictive analysis of their behavior is essential. Recent works have revealed the …
sector and predictive analysis of their behavior is essential. Recent works have revealed the …
Simplified deep-learning approach for estimating the ultimate axial load of circular composite columns
V Veerapandian, G Pandulu, R Jayaseelan… - Asian Journal of Civil …, 2023 - Springer
Composite columns were preferred over reinforced concrete columns in modern-day
construction techniques due to their confinement effect. Different materials were utilized as …
construction techniques due to their confinement effect. Different materials were utilized as …
Design cost minimization of a reinforced concrete column section using overnew swarm-based optimization algorithms
It is very tiresome for a practiser to detect the best feasible sizing design of structural
members including reinforced concrete columns that is a highly nonlinear and complicated …
members including reinforced concrete columns that is a highly nonlinear and complicated …