Predictive models in machine learning for strength and life cycle assessment of concrete structures
A Dinesh, BR Prasad - Automation in Construction, 2024 - Elsevier
The integration of emerging technologies into the construction industry is crucial for the
successful execution of technologically sophisticated initiatives. Multiple disciplines of …
successful execution of technologically sophisticated initiatives. Multiple disciplines of …
Machine learning and interactive GUI for concrete compressive strength prediction
Concrete compressive strength (CS) is a crucial performance parameter in concrete
structure design. Reliable strength prediction reduces costs and time in design and prevents …
structure design. Reliable strength prediction reduces costs and time in design and prevents …
Strength evaluation of eco-friendly waste-derived self-compacting concrete via interpretable genetic-based machine learning models
Artificial intelligence methods like machine learning (ML) are cutting-edge methods for
evaluating the material attributes and impact of influencing parameters, thereby eliminating …
evaluating the material attributes and impact of influencing parameters, thereby eliminating …
[HTML][HTML] Enhancing compressive strength prediction in self-compacting concrete using machine learning and deep learning techniques with incorporation of rice husk …
Focusing on sustainable development, the demand for alternative materials in concrete,
especially for Self-Compacting Concrete (SCC), has risen due to excessive cement usage …
especially for Self-Compacting Concrete (SCC), has risen due to excessive cement usage …
[HTML][HTML] Data-driven strategy for evaluating the response of eco-friendly concrete at elevated temperatures for fire resistance construction
Concrete strength degrades drastically due to high temperatures (HT) destroying its
components. Using supplementary cementitious materials (SCMs) in concrete and …
components. Using supplementary cementitious materials (SCMs) in concrete and …
A systematic literature review of AI-based prediction methods for self-compacting, geopolymer, and other eco-friendly concrete types: Advancing sustainable concrete
T Ali, MH El Ouni, MZ Qureshi, ABMS Islam… - … and Building Materials, 2024 - Elsevier
The construction industry's growing emphasis on sustainability has driven the development
of eco-friendly concrete alternatives, such as self-compacting concrete (SCC) and …
of eco-friendly concrete alternatives, such as self-compacting concrete (SCC) and …
Seismic performance evaluation and strengthening of RC beam-column joints adopted in Nepal
Beam-column joints are a crucial component of the reinforced concrete (RC) moment-
resisting frame (MRF) as the behavior of the joints significantly influences the strength and …
resisting frame (MRF) as the behavior of the joints significantly influences the strength and …
Data-driven predictive modeling of steel slag concrete strength for sustainable construction
AS Albostami, RKS Al-Hamd, AA Al-Matwari - Buildings, 2024 - rke.abertay.ac.uk
Conventional concrete causes significant environmental problems, including resource
depletion, high CO 2 emissions, and high energy consumption. Steel slag aggregate (SSA) …
depletion, high CO 2 emissions, and high energy consumption. Steel slag aggregate (SSA) …
Evaluating the sensitivity of machine learning models to data preprocessing technique in concrete compressive strength estimation
This study rigorously examines the impact of various data preprocessing techniques on the
accuracy of machine learning models in predicting concrete's compressive strength. It …
accuracy of machine learning models in predicting concrete's compressive strength. It …
Machine learning unveils the complex nonlinearity of concrete materials' uniaxial compressive strength
S Pandey, S Paudel, K Devkota, K Kshetri… - International Journal of …, 2024 - Taylor & Francis
Uniaxial compressive strength (CS), a mechanical property that depends on the type of fine
and coarse aggregates, the water-cement (w/c) ratio, age, the volume of admixtures, etc., is …
and coarse aggregates, the water-cement (w/c) ratio, age, the volume of admixtures, etc., is …