Machine learning for structural engineering: A state-of-the-art review
HT Thai - Structures, 2022 - Elsevier
Abstract Machine learning (ML) has become the most successful branch of artificial
intelligence (AI). It provides a unique opportunity to make structural engineering more …
intelligence (AI). It provides a unique opportunity to make structural engineering more …
[HTML][HTML] Durability of geopolymers with industrial waste
LB de Oliveira, ARG de Azevedo, MT Marvila… - Case Studies in …, 2022 - Elsevier
Industrialization and urban growth have led to a high demand for Portland cement in the
world. However, cement production contributes to the increase in the greenhouse effect with …
world. However, cement production contributes to the increase in the greenhouse effect with …
Predicting concrete compressive strength using hybrid ensembling of surrogate machine learning models
This study aims to implement a hybrid ensemble surrogate machine learning technique in
predicting the compressive strength (CS) of concrete, an important parameter used for …
predicting the compressive strength (CS) of concrete, an important parameter used for …
Predicting the compressive strength of concrete containing metakaolin with different properties using ANN
The advantages of using Metakaolin (MK) as a supplementary cementitious material have
led this highly active pozzolan to be widely used in the concrete industry. Awareness of the …
led this highly active pozzolan to be widely used in the concrete industry. Awareness of the …
Machine learning-based compressive strength modelling of concrete incorporating waste marble powder
In recent years, the volume of waste marble powder (WMP) from ornamental stone factories
has increased rapidly, causing environmental concerns of soil, water and air pollution. While …
has increased rapidly, causing environmental concerns of soil, water and air pollution. While …
Prediction of cement-based mortars compressive strength using machine learning techniques
The application of artificial neural networks in mapping the mechanical characteristics of the
cement-based materials is underlined in previous investigations. However, this machine …
cement-based materials is underlined in previous investigations. However, this machine …
[HTML][HTML] Compressive strength of concrete containing furnace blast slag; optimized machine learning-based models
Abstract Replacing Ordinary Portland Cement (OPC) with industrial waste like Ground
Granulated Blast Furnace Slag (GGBFS) has been proven to have remarkable benefits …
Granulated Blast Furnace Slag (GGBFS) has been proven to have remarkable benefits …
Prediction of ecofriendly concrete compressive strength using gradient boosting regression tree combined with GridSearchCV hyperparameter-optimization …
A crucial factor in the efficient design of concrete sustainable buildings is the compressive
strength (Cs) of eco-friendly concrete. In this work, a hybrid model of Gradient Boosting …
strength (Cs) of eco-friendly concrete. In this work, a hybrid model of Gradient Boosting …
[HTML][HTML] AI-Assisted optimisation of green concrete mixes incorporating recycled concrete aggregates
Maximising the content of supplementary cementitious materials as a partial replacement for
Portland cement and using recycled concrete aggregates as a full or partial replacement for …
Portland cement and using recycled concrete aggregates as a full or partial replacement for …
Mechanical properties of GGBFS-based geopolymer concrete incorporating natural zeolite and silica fume with an optimum design using response surface method
AA Shahmansouri, M Nematzadeh… - Journal of Building …, 2021 - Elsevier
Geopolymer concrete (GPC), usually produced via the activation of the cementitious nature
of industrial by-products (IBPs) such as ground granulated blast furnace slag (GGBFS) and …
of industrial by-products (IBPs) such as ground granulated blast furnace slag (GGBFS) and …