Prediction and optimization model of sustainable concrete properties using machine learning, deep learning and swarm intelligence: A review
S Wang, P Xia, K Chen, F Gong, H Wang… - Journal of Building …, 2023 - Elsevier
Among the many sustainability challenges in the construction industry, those related to the
application of concrete and its components are the most critical. Particularly, the production …
application of concrete and its components are the most critical. Particularly, the production …
Revealing the nature of metakaolin-based concrete materials using artificial intelligence techniques
In this study, a model for the estimation of the compressive strength of concretes
incorporating metakaolin is developed and parametrically evaluated, using soft computing …
incorporating metakaolin is developed and parametrically evaluated, using soft computing …
[HTML][HTML] AI-Assisted optimisation of green concrete mixes incorporating recycled concrete aggregates
Maximising the content of supplementary cementitious materials as a partial replacement for
Portland cement and using recycled concrete aggregates as a full or partial replacement for …
Portland cement and using recycled concrete aggregates as a full or partial replacement for …
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 …
Data-driven compressive strength prediction of fly ash concrete using ensemble learner algorithms
Concrete is one of the most popular materials for building all types of structures, and it has a
wide range of applications in the construction industry. Cement production and use have a …
wide range of applications in the construction industry. Cement production and use have a …
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 …
Economic and environmental optimisation of waste cardboard kraft fibres in concrete using nondominated sorting genetic algorithm
The depletion of natural resources is accelerating due to increased construction activities
across the world. The search for alternative materials used in concrete is becoming a …
across the world. The search for alternative materials used in concrete is becoming a …
[HTML][HTML] Compressive strength prediction of sustainable concrete incorporating rice husk ash (RHA) using hybrid machine learning algorithms and parametric …
The construction industry is making efforts to reduce the environmental impact of cement
production in concrete by incorporating alternative and supplementary cementitious …
production in concrete by incorporating alternative and supplementary cementitious …
Developing numerical equality to regional intensity–duration–frequency curves using evolutionary algorithms and multi-gene genetic programming
H Citakoglu, V Demir - Acta Geophysica, 2023 - Springer
This study aims to carry out regional intensity− duration− frequency (IDF) equality using the
relationship with IDF obtained from point frequency analysis. Eleven empirical equations …
relationship with IDF obtained from point frequency analysis. Eleven empirical equations …
Novel hybrid machine learning models including support vector machine with meta-heuristic algorithms in predicting unconfined compressive strength of organic soils …
Each type of soil has different optimal soil stabilisation additive content. To design the
optimal soil stabilisation component, reliable and efficient models are required. The study …
optimal soil stabilisation component, reliable and efficient models are required. The study …