Compressive strength prediction of eco-efficient GGBS-based geopolymer concrete using GEP method

AA Shahmansouri, HA Bengar, S Ghanbari - Journal of Building …, 2020 - Elsevier
Geopolymer concrete (GPC) could be used as an environmental-friendly alternative solution
for concrete production due to the detrimental impacts of cement production on the …

Genetic algorithms, a nature-inspired tool: a survey of applications in materials science and related fields: part II

W Paszkowicz - Materials and Manufacturing Processes, 2013 - Taylor & Francis
Genetic algorithms (GAs) are a helpful tool in optimization, simulation, modelling, design,
and prediction purposes in various domains of science including materials science …

Predicting compressive strength and electrical resistivity of eco-friendly concrete containing natural zeolite via GEP algorithm

AA Shahmansouri, HA Bengar, E Jahani - Construction and Building …, 2019 - Elsevier
Concrete strength is dependent upon not only the water to cement ratio but also different
constituents of the concrete. The inclusion of natural zeolite (NZ) as an effective …

[HTML][HTML] Evaluation of properties of bio-composite with interpretable machine learning approaches: optimization and hyper tuning

G Xu, G Zhou, F Althoey, HM Hadidi, A Alaskar… - Journal of Materials …, 2023 - Elsevier
Hemp bio-composite (HBC) is a sustainable material that can be considered as a “carbon
negative” or “better-than-zero-carbon” because it absorbs more carbon from its surrounding …

[图书][B] Data-driven evolutionary modeling in materials technology

N Chakraborti - 2022 - taylorfrancis.com
Due to efficacy and optimization potential of genetic and evolutionary algorithms, they are
used in learning and modeling especially with the advent of big data related problems. This …

Application of soft computing in predicting the compressive strength of self-compacted concrete containing recyclable aggregate

AS Albostami, RKS Al-Hamd, S Alzabeebee… - Asian Journal of Civil …, 2024 - Springer
Self-compacting concrete (SCC) is a type of concrete known for its environmental benefits
and improved workability. In this study, data-driven approaches were used to anticipate the …

Parameter optimization of machining processes using a new optimization algorithm

R Venkata Rao, VD Kalyankar - Materials and Manufacturing …, 2012 - Taylor & Francis
A new advanced algorithm is proposed for the process parameter optimization of machining
processes. This algorithm is inspired by the teaching-learning process, and it works on the …

Modeling and optimization of medium-speed WEDM process parameters for machining SKD11

G Zhang, Z Zhang, J Guo, W Ming, M Li… - Materials and …, 2013 - Taylor & Francis
This study analyzed the workpiece surface quality (Ra) and the material removal rate (MRR)
on process parameters during machining SKD11 by medium-speed wire electrical …

The influences of alloying elements and processing conditions on the machinability of wrought aluminium alloys: A literature review

H Demirpolat, R Binali, M Kuntoğlu… - Proceedings of the …, 2024 - journals.sagepub.com
Today, wrought aluminium alloys are ranked among the most important materials with low
specific density, strength features, corrosion resistance, machinability and recyclability …

Toughness prediction in functionally graded Al6061/SiCp composites produced by roll-bonding

H Pouraliakbar, AH Monazzah, R Bagheri… - Ceramics …, 2014 - Elsevier
Functionally graded aluminum matrix composites (FGAMC) are new advanced materials
with promising applications due to their unique characteristics in which composite nature is …