Machine and deep learning methods for concrete strength Prediction: A bibliometric and content analysis review of research trends and future directions
This review paper provides a detailed evaluation of the existing landscape and future trends
in applying machine learning and deep learning approaches for predicting concrete strength …
in applying machine learning and deep learning approaches for predicting concrete strength …
A systematic review of the research development on the application of machine learning for concrete
Research on the applications of new techniques such as machine learning is advancing
rapidly. Machine learning methods are being employed to predict the characteristics of …
rapidly. Machine learning methods are being employed to predict the characteristics of …
Comparison of prediction models based on machine learning for the compressive strength estimation of recycled aggregate concrete
Numerous tests are used to determine the performance of concrete, but compressive
strength (CS) is usually regarded as the most important. The recycled aggregate concrete …
strength (CS) is usually regarded as the most important. The recycled aggregate concrete …
[HTML][HTML] Assessing the compressive strength of self-compacting concrete with recycled aggregates from mix ratio using machine learning approach
P Jagadesh, J de Prado-Gil, N Silva-Monteiro… - Journal of Materials …, 2023 - Elsevier
The requirement of the construction sector pushes researchers and academicians to
determine the 28-day concrete compressive strength due to less consumption of natural …
determine the 28-day concrete compressive strength due to less consumption of natural …
[HTML][HTML] Artificial intelligence-based estimation of ultra-high-strength concrete's flexural property
Abstract Advancement in Artificial Intelligence (AI) techniques and their applications in the
construction industry, particularly for predicting mechanical properties of concrete, leads to …
construction industry, particularly for predicting mechanical properties of concrete, leads to …
Compressive strength evaluation of ultra-high-strength concrete by machine learning
In civil engineering, ultra-high-strength concrete (UHSC) is a useful and efficient building
material. To save money and time in the construction sector, soft computing approaches …
material. To save money and time in the construction sector, soft computing approaches …
Compressive strength of steel fiber-reinforced concrete employing supervised machine learning techniques
Recently, research has centered on developing new approaches, such as supervised
machine learning techniques, that can compute the mechanical characteristics of materials …
machine learning techniques, that can compute the mechanical characteristics of materials …
A soft-computing-based modeling approach for predicting acid resistance of waste-derived cementitious composites
This research aimed to build estimation models for the compressive strength (CS) of cement
mortar containing eggshell and glass powder after the acid attack using machine learning …
mortar containing eggshell and glass powder after the acid attack using machine learning …
Flexural strength prediction of steel fiber-reinforced concrete using artificial intelligence
D Zheng, R Wu, M Sufian, NB Kahla, M Atig… - Materials, 2022 - mdpi.com
Research has focused on creating new methodologies such as supervised machine
learning algorithms that can easily calculate the mechanical properties of fiber-reinforced …
learning algorithms that can easily calculate the mechanical properties of fiber-reinforced …
Evaluating the effectiveness of waste glass powder for the compressive strength improvement of cement mortar using experimental and machine learning methods
This study utilized both experimental testing and machine learning (ML) strategies to assess
the effectiveness of waste glass powder (WGP) on the compressive strength (CS) of cement …
the effectiveness of waste glass powder (WGP) on the compressive strength (CS) of cement …