Advanced materials for sustainable construction: A review of innovations and environmental benefits
ZQS Nwokediegwu, VI Ilojianya, KI Ibekwe… - Engineering Science & …, 2024 - fepbl.com
The field of sustainable construction has witnessed a paradigm shift with the advent of
advanced materials that not only enhance structural performance but also contribute …
advanced materials that not only enhance structural performance but also contribute …
Machine learning-based prediction of concrete strengths with coconut shell as partial coarse aggregate replacement: a comprehensive analysis and sensitivity study
This study investigates the predictive capacity of machine learning models for the
compressive, flexural, and split tensile strengths of concrete incorporating coconut shell as a …
compressive, flexural, and split tensile strengths of concrete incorporating coconut shell as a …
Enhancing Concrete Properties Through the Integration of Recycled Coarse Aggregate: A Machine Learning Approach for Sustainable Construction
RK Tipu, OA Shah, S Vats… - 2024 4th International …, 2024 - ieeexplore.ieee.org
This study presents a novel approach to predict the compressive strength of concrete
incorporating recycled coarse aggregate using machine learning models. The research …
incorporating recycled coarse aggregate using machine learning models. The research …
Prediction of compressive strength of high-performance concrete using optimization machine learning approaches with SHAP analysis
Forecasting the compressive strength of high-performance concrete (HPC) is crucial for its
practical applications. However, conducting experimental tests for this purpose demands …
practical applications. However, conducting experimental tests for this purpose demands …
Comparative strength estimation model of recycled aggregate concrete modified with GGBS, Metakaolin, and fly ash
L Zhang, Y Tian, S Deng - Multiscale and Multidisciplinary Modeling …, 2024 - Springer
Recycled aggregates (RA) can provide a sustainable solution for replacing natural
aggregates (NA) in the concrete mix. Nevertheless, because of a lack of databases …
aggregates (NA) in the concrete mix. Nevertheless, because of a lack of databases …
Using meta-heuristic optimization in ANFIS models to estimate compressive strength for recycled aggregate concrete
X Hong, J Wang - Multiscale and Multidisciplinary Modeling, Experiments …, 2024 - Springer
The adaptive neuro-fuzzy inference system (ANFIS) analysis is used in this paper to
introduce a ground-breaking method for predicting compressive strength f′ C of recycled …
introduce a ground-breaking method for predicting compressive strength f′ C of recycled …
A new era of automation in the construction industry: Implementing leading-edge generative artificial intelligence, such as ChatGPT or Bard
The construction sector stands at the cusp of a transformative period propelled by the
integration of generative artificial intelligence (AI) into diverse aspects of its operations. This …
integration of generative artificial intelligence (AI) into diverse aspects of its operations. This …
Comparing the performance of machine learning models for predicting the compressive strength of concrete
AAB Loureiro, R Stefani - Discover Civil Engineering, 2024 - Springer
This work aimed to investigate and compare the performance of different machine learning
models in predicting the compressive strength of concrete using a data set of 1234 …
models in predicting the compressive strength of concrete using a data set of 1234 …