[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 …
Computation of high-performance concrete compressive strength using standalone and ensembled machine learning techniques
The current trend in modern research revolves around novel techniques that can predict the
characteristics of materials without consuming time, effort, and experimental costs. The …
characteristics of materials without consuming time, effort, and experimental costs. The …
Smart self-healing bacterial concrete for sustainable goal
Concrete is among the most widely used building materials on the planet. Bacteria-based
concrete has the potential to be a future automated self-healing solution for environment …
concrete has the potential to be a future automated self-healing solution for environment …
Green mix design of rubbercrete using machine learning-based ensemble model and constrained multi-objective optimization
Although the use of waste rubber (WR) in concrete can alleviate some negatives effect on
sustainability, it can decrease the compressive strength (CS) of the produced rubbercrete …
sustainability, it can decrease the compressive strength (CS) of the produced rubbercrete …
Prediction of compressive strength for fly ash-based concrete: critical comparison of machine learning algorithms
In the construction field, compressive strength is one of the most critical parameters of
concrete. However, a significant amount of physical effort and natural raw materials are …
concrete. However, a significant amount of physical effort and natural raw materials are …
A systematic review on MICP technique for develo** sustainability in concrete
SA Kadapure, UB Deshannavar… - European Journal of …, 2023 - Taylor & Francis
Concrete, a low-cost material, is the most common construction material used worldwide.
However, due to its drawbacks (lack of workability and crack formation) as a constructional …
However, due to its drawbacks (lack of workability and crack formation) as a constructional …
Assessment of acid resistance of natural pozzolan-based alkali-activated concrete: Experimental and optimization modelling
Although the synthesis and properties of natural pozzolan (NP)-based alkali-activated
binder (AAB) have been investigated, to the best of our knowledge, no study has focused on …
binder (AAB) have been investigated, to the best of our knowledge, no study has focused on …
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 …
Systematic evaluation of permeability of concrete incorporating coconut shell as replacement of fine aggregate
The concern about coconut shell disposal and natural fine aggregate depletion has
prompted researchers to utilize coconut shell as aggregate in recent years. However, the …
prompted researchers to utilize coconut shell as aggregate in recent years. However, the …
Gene expression programming based mathematical modeling for leak detection of water distribution networks
Globally, the loss of potable water through buried and service water distribution networks
(WDNs) is one of the persistent challenges confronted by water utilities. Most of the WDNs …
(WDNs) is one of the persistent challenges confronted by water utilities. Most of the WDNs …