Use of materials to lower the cost of ultra-high-performance concrete–A review
Ultra-high-performance concrete (UHPC) is a new type of cement-based material. It has
excellent different properties such as high workability, superior mechanical properties and …
excellent different properties such as high workability, superior mechanical properties and …
A scientometric analysis approach to analyze the present research on recycled aggregate concrete
The growing state of research on recycled aggregate (RA) concrete presents academics
with an information overload that may obstruct effective research and academic …
with an information overload that may obstruct effective research and academic …
Prediction model for rice husk ash concrete using AI approach: Boosting and bagging algorithms
The use of rice husk ash (RHA) in concrete serves a positive role. The compressive strength
of RHA in concrete is predicted using supervised machine learning approaches such as …
of RHA in concrete is predicted using supervised machine learning approaches such as …
[HTML][HTML] Machine learning based computational approach for crack width detection of self-healing concrete
Concrete structures frequently experience the phenomena of crack development. The
researchers used certain healing agents to boost the frequently observed autogenous crack …
researchers used certain healing agents to boost the frequently observed autogenous crack …
Artificial intelligence-based optimized models for predicting the slump and compressive strength of sustainable alkali-derived concrete
Alkali-activated materials (AAMs) are a potential class of construction materials that are well-
known for their versatility and capacity for long-term sustainability. As a result of its ability to …
known for their versatility and capacity for long-term sustainability. As a result of its ability to …
[HTML][HTML] A data-driven approach to predict the compressive strength of alkali-activated materials and correlation of influencing parameters using SHapley Additive …
This research used gene expression programming (GEP) and multi expression
programming (MEP) to determine the compressive strength (CS) of alkali-activated material …
programming (MEP) to determine the compressive strength (CS) of alkali-activated material …
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 …
Retracted: A comparative study on predicting the rapid chloride permeability of self‐compacting concrete using meta‐heuristic algorithm and artificial intelligence …
J Yuan, M Zhao, M Esmaeili‐Falak - Structural Concrete, 2022 - Wiley Online Library
Obtaining a trustworthy approach to forecast the chloride penetration into self‐compacting
concrete via rapid test may lead to frugality in cost, time, and energy to provide a durable mix …
concrete via rapid test may lead to frugality in cost, time, and energy to provide a durable mix …
Application of machine learning techniques for predicting compressive, splitting tensile, and flexural strengths of concrete with metakaolin
The mechanical properties of concrete are the important parameters in a design code. The
amount of laboratory trial batches and experiments required to produce useful design data …
amount of laboratory trial batches and experiments required to produce useful design data …
[HTML][HTML] Compressive strength prediction of rice husk ash using multiphysics genetic expression programming
Rice husk ash (RHA) is obtained by burning rice husks. An advanced programming
technique known as genetic expression programming (GEP) is used in this research for …
technique known as genetic expression programming (GEP) is used in this research for …