A review on optimization of composite structures Part I: Laminated composites
Composite, sandwich and functionally graded materials are frequently utilized for different
applications. Thus, numerous optimization studies have been conducted on structures made …
applications. Thus, numerous optimization studies have been conducted on structures made …
Levy flights in metaheuristics optimization algorithms–a review
In recent years, Levy flight (LF) is increasingly being employed as search mechanism in
metaheuristics optimization algorithms (MOA) to solve complex real world problems. LF …
metaheuristics optimization algorithms (MOA) to solve complex real world problems. LF …
[PDF][PDF] Computational Lagrangian Multiplier Method by using for optimization and sensitivity analysis of rectangular reinforced concrete beams
This study conducts an optimization and sensitivity analysis on rectangular reinforced
concrete (RC) beam using computational Lagrangian Multiplier Method (LMM) as …
concrete (RC) beam using computational Lagrangian Multiplier Method (LMM) as …
ANN and GEP prediction for simultaneous effect of nano and micro silica on the compressive and flexural strength of cement mortar
Artificial neural networks (ANNs) and genetic expression programming (GEP) have recently
been used to model the properties of cement mortar containing nano silica (NS) or micro …
been used to model the properties of cement mortar containing nano silica (NS) or micro …
Effect of cement strength class on the prediction of compressive strength of cement mortar using GEP method
Gene expression programming (GEP) has been widely used to predict the properties of
cementation materials. In this study, 54 mix designs including six water/cement (W/C) ratios …
cementation materials. In this study, 54 mix designs including six water/cement (W/C) ratios …
Effect of porosity on predicting compressive and flexural strength of cement mortar containing micro and nano-silica by ANN and GEP
The aim of this study is to evaluate the effect of porosity on mechanical properties of cement
mortar containing micro and nano silica in two aspects of experimentation and modeling of …
mortar containing micro and nano silica in two aspects of experimentation and modeling of …
New insight into the prediction of strength properties of cementitious mortar containing nano‐and micro‐silica based on porosity using hybrid artificial intelligence …
Nowadays, the accurate prediction of strength properties of cementitious materials
containing nano‐and micro‐silica (NS–MS) remains an open question because of the highly …
containing nano‐and micro‐silica (NS–MS) remains an open question because of the highly …
Interpretable XGBoost–SHAP machine learning technique to predict the compressive strength of environment-friendly rice husk ash concrete
Global greenhouse gas emissions from the construction concrete industry are 50% higher
than those from all other industries combined. Concrete incorporating waste and recycled …
than those from all other industries combined. Concrete incorporating waste and recycled …
Hybrid artificial neural network with biogeography-based optimization to assess the role of cement fineness on ecological footprint and mechanical properties of …
The role of cement plants on negative environmental impacts is known. Therefore,
investigating the type and amount of cement used in the mix design can significantly reduce …
investigating the type and amount of cement used in the mix design can significantly reduce …
Effect of cement strength class on the generalization of Abrams' law
Abrams' law is used to predict the compressive strength of cementitious materials based on
water/cement ratio (W/C). While compressive strength does not only depend on W/C, but …
water/cement ratio (W/C). While compressive strength does not only depend on W/C, but …