[HTML][HTML] Comparative study of genetic programming-based algorithms for predicting the compressive strength of concrete at elevated temperature
The elevated temperature severely influences the mixed properties of concrete, causing a
decrease in its strength properties. Accurate proportioning of concrete components for …
decrease in its strength properties. Accurate proportioning of concrete components for …
[HTML][HTML] Soft computing models for prediction of bentonite plastic concrete strength
Bentonite plastic concrete (BPC) is extensively used in the construction of water-tight
structures like cut-off walls in dams, etc., because it offers high plasticity, improved …
structures like cut-off walls in dams, etc., because it offers high plasticity, improved …
[HTML][HTML] Predicting 28-day compressive strength of fibre-reinforced self-compacting concrete (FR-SCC) using MEP and GEP
WB Inqiad, MS Siddique, M Ali, T Najeh - Scientific Reports, 2024 - nature.com
The utilization of Self-compacting Concrete (SCC) has escalated worldwide due to its
superior properties in comparison to normal concrete such as compaction without vibration …
superior properties in comparison to normal concrete such as compaction without vibration …
A comparative analysis of boosting and genetic programming techniques for predicting mechanical properties of soilcrete materials
WB Inqiad, MF Javed, MS Siddique, SS Alarifi… - Materials Today …, 2024 - Elsevier
This study aims to predict compressive strength (CS) and modulus of elasticity (E) of
soilcrete mixes to foster their widespread use in the industry. Soilcfigrete has the potential to …
soilcrete mixes to foster their widespread use in the industry. Soilcfigrete has the potential to …
Comparison of boosting and genetic programming techniques for prediction of tensile strain capacity of Engineered Cementitious Composites (ECC)
Plain concrete is weak against tension and has low Tensile Strain Capacity (TSC) which
significantly affects its long-term performance. To overcome this issue, Engineered …
significantly affects its long-term performance. To overcome this issue, Engineered …
Predicting solubility of nitrous oxide in ionic liquids using machine learning techniques and gene expression programming
MN Amar, MA Ghriga, MEAB Seghier… - Journal of the Taiwan …, 2021 - Elsevier
Abstract Background-Nitrous oxide (N 2 O), as a potent greenhouse gas, is increasingly
becoming a major multidisciplinary concern in recent years. Therefore, the removal of N 2 O …
becoming a major multidisciplinary concern in recent years. Therefore, the removal of N 2 O …
[HTML][HTML] Application of gene expression programming (GEP) in modeling hydrocarbon recovery in WAG injection process
Water alternating gas (WAG) injection has been successfully applied as a tertiary recovery
technique. Forecasting WAG flooding performance using fast and robust models is of great …
technique. Forecasting WAG flooding performance using fast and robust models is of great …
Machine learning approach to predict the surface charge density of monodispersed particles in gas–solid fluidized beds
J Lu, C Duan, Y Zhao - ACS omega, 2022 - ACS Publications
Gas–solid fluidized beds are complex particle systems, and the electrostatic behavior of
particles in fluidized beds is even more complex, which is influenced by numerous factors …
particles in fluidized beds is even more complex, which is influenced by numerous factors …
Predicting natural vibration period of concrete frame structures having masonry infill using machine learning techniques.
WB Inqiad, MF Javed, MS Siddique… - Journal of Building …, 2024 - Elsevier
The natural period of vibration is one of the most significant factors used in the seismic
design of buildings. Although the building design codes and previous studies provide some …
design of buildings. Although the building design codes and previous studies provide some …
Application of gene expression programming for predicting density of binary and ternary mixtures of ionic liquids and molecular solvents
MN Amar, MA Ghriga… - Journal of the Taiwan …, 2020 - Elsevier
Abstract Ionic Liquids (ILs) have received increased attention across a number of disciplines
in recent years. This noticeable importance of ILs is attributed to their attractive proprieties …
in recent years. This noticeable importance of ILs is attributed to their attractive proprieties …