New prediction model for the ultimate axial capacity of concrete-filled steel tubes: An evolutionary approach
The complication linked with the prediction of the ultimate capacity of concrete-filled steel
tubes (CFST) short circular columns reveals a need for conducting an in-depth structural …
tubes (CFST) short circular columns reveals a need for conducting an in-depth structural …
Assessment of composite beam performance using GWO–ELM metaheuristic algorithm
R Ma, M Karimzadeh, A Ghabussi, Y Zandi… - Engineering with …, 2021 - Springer
Composite beams (CBs) include concrete slabs jointed to the steel parts by the shear
connectors, which highly popular in modern structures such as high rise buildings and …
connectors, which highly popular in modern structures such as high rise buildings and …
State-of-the-art and annual progress of bridge engineering in 2020
Bridge construction is one of the cores of traffic infrastructure construction. To better develop
relevant bridge science, this paper introduces the main research progress in China and …
relevant bridge science, this paper introduces the main research progress in China and …
The prediction of compressive strength and non-destructive tests of sustainable concrete by using artificial neural networks
The Artificial Neural Network (ANN) is a system, which is utilized for solving complicated
problems by using nonlinear equations. This study aims to investigate compressive strength …
problems by using nonlinear equations. This study aims to investigate compressive strength …
[PDF][PDF] Economic application of structural health monitoring and internet of things in efficiency of building information modeling
One of the powerful data management tools is Building Information Modeling (BIM) which
operates through obtaining, recalling, sharing, sorting and sorting data and supplying a …
operates through obtaining, recalling, sharing, sorting and sorting data and supplying a …
Bond prediction of stainless-steel reinforcement using artificial neural networks
M Rabi - Proceedings of the Institution of Civil Engineers …, 2023 - icevirtuallibrary.com
Stainless-steel reinforcement has become increasingly popular in the construction industry
in recent years, mainly due to its distinctive characteristics and excellent mechanical …
in recent years, mainly due to its distinctive characteristics and excellent mechanical …
Management of higher heating value sensitivity of biomass by hybrid learning technique
N Lakovic, A Khan, B Petković, D Petkovic… - Biomass Conversion …, 2021 - Springer
Recently, biomass sources are important for energy applications. Therefore, there is need
for analyzing the biomass model based on different components such as carbon, ash, and …
for analyzing the biomass model based on different components such as carbon, ash, and …
Computational evaluation of microalgae biomass conversion to biodiesel
M Milić, B Petković, A Selmi, D Petković… - Biomass Conversion …, 2021 - Springer
Since there are large requirements for green energy sustainability, in this study, optimization
of in situ transesterification of microalgae slurry conversion into biodiesel was performed …
of in situ transesterification of microalgae slurry conversion into biodiesel was performed …
Evaluation of residual flexural strength of corroded reinforced concrete beams using convolutional long short-term memory neural networks
The artificial corrosion process is distinct from the natural environment; thus, posing a
challenge in the evaluation of the structural performance of reinforced concrete (RC) …
challenge in the evaluation of the structural performance of reinforced concrete (RC) …
Predicting bond strength of corroded reinforcement by deep learning
H Tanyildizi - Computers and Concrete, 2022 - koreascience.kr
In this study, the extreme learning machine and deep learning models were devised to
estimate the bond strength of corroded reinforcement in concrete. The six inputs and one …
estimate the bond strength of corroded reinforcement in concrete. The six inputs and one …