Review of neural network modeling of shape memory alloys

R Hmede, F Chapelle, Y Lapusta - Sensors, 2022 - mdpi.com
Shape memory materials are smart materials that stand out because of several remarkable
properties, including their shape memory effect. Shape memory alloys (SMAs) are largely …

Elastic stiffness estimation of aggregate–ITZ system of concrete through matrix porosity and volumetric considerations: explanation and exemplification

V Revilla-Cuesta, M Skaf, A Santamaría… - Archives of Civil and …, 2022 - Springer
The modulus of elasticity of a concrete depends on the elastic stiffness of both the
cementitious matrix and the aggregate–ITZ system, which includes any slippage …

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 …

Shear strength prediction of slender concrete beams reinforced with FRP rebar using data-driven machine learning algorithms

MR Karim, K Islam, AHMM Billah… - Journal of Composites for …, 2023 - ascelibrary.org
Estimating the shear strength of a fiber-reinforced polymer (FRP)–reinforced-concrete (RC)
beam is a complex task that depends on multiple design variables. The use of FRP bars has …

Influence of porosity and cement grade on concrete mechanical properties

J Huang, R Alyousef, M Suhatril… - Advances in concrete …, 2020 - koreascience.kr
The given research focuses on examining the effect of relatively humidity (RH) and curing
temperature on the hydrates as well as the porosity of calcium sulfoaluminate (CSA) cement …

[PDF][PDF] Economic application of structural health monitoring and internet of things in efficiency of building information modeling

Y Cao, S Miraba, S Rafiei, A Ghabussi, F Bokaei… - Smart Struct …, 2020 - researchgate.net
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 …

Machine learning meta-models for fast parameter identification of the lattice discrete particle model

Y Lyu, M Pathirage, E Ramyar, WK Liu… - Computational …, 2023 - Springer
When simulating the mechanical behavior of complex materials, the failure behavior is
strongly influenced by the internal structure. To account for such dependence, models at the …

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 …

Predicting Shear Strength in FRP‐Reinforced Concrete Beams Using Bat Algorithm‐Based Artificial Neural Network

M Nikoo, B Aminnejad, A Lork - Advances in Materials Science …, 2021 - Wiley Online Library
In this article, 140 samples with different characteristics were collected from the literature.
The Feed Forward network is used in this research. The parameters f'c (MPa), ρf (%), Ef …

Shear behavior and strength prediction of HFRP reinforced concrete beams without stirrups

Z Gu, Y Hu, D Gao, T Wang, L Yang - Engineering Structures, 2023 - Elsevier
This paper investigated the shear behavior of carbon/glass hybrid fiber reinforced polymer
(HFRP) bars reinforced concrete beams without stirrups. Seven beams with different span-to …