Efficient training of two ANNs using four meta-heuristic algorithms for predicting the FRP strength
A Kaveh, N Khavaninzadeh - Structures, 2023 - Elsevier
In recent years, artificial neural network (ANN) is one of the popular and effective machine
learning models that can be used to accurately predict fiber reinforced polymer (FRP) …
learning models that can be used to accurately predict fiber reinforced polymer (FRP) …
[HTML][HTML] Estimating compressive strength of lightweight foamed concrete using neural, genetic and ensemble machine learning approaches
Foamed concrete is special not only in terms of its unique properties, but also in terms of its
challenging compositional mixture design, which necessitates multiple experimental trials …
challenging compositional mixture design, which necessitates multiple experimental trials …
Development of machine learning methods to predict the compressive strength of fiber-reinforced self-compacting concrete and sensitivity analysis
Fiber-reinforced self-compacting concrete (FRSCC), a great combination of self-compacting
concrete (SCC) and fiber, plays a vital role as a potential construction material. Improving …
concrete (SCC) and fiber, plays a vital role as a potential construction material. Improving …
Artificial intelligence techniques in advanced concrete technology: A comprehensive survey on 10 years research trend
R Kazemi - Engineering Reports, 2023 - Wiley Online Library
Advanced concrete technology is the science of efficient, cost‐effective, and safe design in
civil engineering projects. Engineers and concrete designers are generally faced with the …
civil engineering projects. Engineers and concrete designers are generally faced with the …
Toward improved prediction of recycled brick aggregate concrete compressive strength by designing ensemble machine learning models
The utilization of recycled brick aggregate concrete (RBC) is an area of active research, in
which further investigation is needed to develop accurate models for predicting the behavior …
which further investigation is needed to develop accurate models for predicting the behavior …
Mapping the strength of agro-ecological lightweight concrete containing oil palm by-product using artificial intelligence techniques
A Ashrafian, E Panahi, S Salehi, M Karoglou… - Structures, 2023 - Elsevier
The critical challenge for the cement production industry is the high emission of greenhouse
gases. For the sustainability in a cycling economy context civil and environmental engineers …
gases. For the sustainability in a cycling economy context civil and environmental engineers …
A novel hybrid adaptive boosting approach for evaluating properties of sustainable materials: A case of concrete containing waste foundry sand
Ensemble learning (EL) has gained popularity in recent investigations because of its higher
prediction accuracy than conventional machine learning (ML) methods. Regressors and EL …
prediction accuracy than conventional machine learning (ML) methods. Regressors and EL …
[HTML][HTML] A comparative analysis of machine learning models in prediction of mortar compressive strength
Predicting the mechanical properties of cement-based mortars is essential in understanding
the life and functioning of structures. Machine learning (ML) algorithms in this regard can be …
the life and functioning of structures. Machine learning (ML) algorithms in this regard can be …
[HTML][HTML] Hybrid data-driven approaches to predicting the compressive strength of ultra-high-performance concrete using SHAP and PDP analyses
Ultra-high-performance concrete (UHPC) is a cutting-edge and advanced construction
material known for its exceptional mechanical properties and durability. Recently, machine …
material known for its exceptional mechanical properties and durability. Recently, machine …
Development of a hybrid artificial intelligence model to predict the uniaxial compressive strength of a new aseismic layer made of rubber-sand concrete
This study, proposes the use of a novel rubber-sand concrete (RSC) material, which
comprises rubber particles, sand, and cement, as an aseismic material in practical …
comprises rubber particles, sand, and cement, as an aseismic material in practical …