A comprehensive assessment of the global warming potential of geopolymer concrete
Abstract Approximately 5%–7% of global Carbon Dioxide (CO 2) emissions can be
attributed to Ordinary Portland Cement (OPC), which has traditionally been used as the …
attributed to Ordinary Portland Cement (OPC), which has traditionally been used as the …
Design Optimization of Reinforced Concrete Cantilever Retaining Walls: A State‐of‐the‐Art Review
The booming growth of computational abilities in the 21st century has led to its assimilation
and benefit in all horizons of engineering. For civil engineers, these advancements have led …
and benefit in all horizons of engineering. For civil engineers, these advancements have led …
Interpretable machine learning algorithms to predict the axial capacity of FRP-reinforced concrete columns
Fiber-reinforced polymer (FRP) rebars are increasingly being used as an alternative to steel
rebars in reinforced concrete (RC) members due to their excellent corrosion resistance …
rebars in reinforced concrete (RC) members due to their excellent corrosion resistance …
A generic framework for augmented concrete mix design: Optimisation of geopolymer concrete considering environmental, financial and mechanical properties
While concrete mix design has typically focused on the development of low-cost concretes
that achieve a particular set of material characteristics, it is now becoming increasingly …
that achieve a particular set of material characteristics, it is now becoming increasingly …
CO2 Emission and Cost Optimization of Concrete-Filled Steel Tubular (CFST) Columns Using Metaheuristic Algorithms
Concrete-filled steel tubular columns have garnered wide interest among researchers due to
their favorable structural characteristics. To attain the best possible performance from …
their favorable structural characteristics. To attain the best possible performance from …
Machine learning models for ecofriendly optimum design of reinforced concrete columns
CO2 emission is one of the biggest environmental problems and contributes to global
warming. The climatic changes due to the damage to nature is triggering a climate crisis …
warming. The climatic changes due to the damage to nature is triggering a climate crisis …
Efficient framework for ultimate strength prediction and production-based CO2 emission optimization of CFST columns using categorical boosting algorithm and moth …
This study develops an efficient framework for predicting the ultimate strength and optimizing
production-based carbon dioxide (CO 2) emission of concrete-filled steel tube (CFST) …
production-based carbon dioxide (CO 2) emission of concrete-filled steel tube (CFST) …
Optimal dimensioning of retaining walls using explainable ensemble learning algorithms
This paper develops predictive models for optimal dimensions that minimize the construction
cost associated with reinforced concrete retaining walls. Random Forest, Extreme Gradient …
cost associated with reinforced concrete retaining walls. Random Forest, Extreme Gradient …
An artificial intelligence-based prediction model for optimum design variables of reinforced concrete retaining walls
In this study, a hybrid method was developed to predict optimum dimensions of reinforced
concrete (RC) cantilever-type retaining walls. The metaheuristic-based optimization process …
concrete (RC) cantilever-type retaining walls. The metaheuristic-based optimization process …
Modified harmony search algorithm-based optimization for eco-friendly reinforced concrete frames
Cost and CO2 are two factors in the optimum design of structures. This study proposes a
modified harmony search methodology for optimization of reinforced concrete beams with …
modified harmony search methodology for optimization of reinforced concrete beams with …