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 …
A systematic literature review of AI-based prediction methods for self-compacting, geopolymer, and other eco-friendly concrete types: Advancing sustainable concrete
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 …
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 …
Enhancing discharge prediction over Type-A piano key weirs: An innovative machine learning approach
Piano key weirs (PKWs) are an increasingly popular hydraulic structure due to their higher
discharge capacity than linear weirs. Accurately predicting the discharge of PKWs is …
discharge capacity than linear weirs. Accurately predicting the discharge of PKWs is …
A metaheuristic Multi-Objective optimization of energy and environmental performances of a Waste-to-Energy system based on waste gasification using particle …
X Qiao, J Ding, C She, W Mao, A Zhang, B Feng… - Energy Conversion and …, 2024 - Elsevier
Studies focusing on the optimization of waste-to-energy systems using metaheuristic particle
swarm optimization (PSO) are crucial in our pursuit of sustainable and renewable energy …
swarm optimization (PSO) are crucial in our pursuit of sustainable and renewable energy …
AI-driven design for the compressive strength of ultra-high performance geopolymer concrete (UHPGC): From explainable ensemble models to the graphical user …
Ultra-high performance geopolymer concrete (UHPGC) has become of interest in recent
years as a more economical and sustainable alternative while offering similar mechanical …
years as a more economical and sustainable alternative while offering similar mechanical …
Determining seepage loss predictions in lined canals through optimizing advanced gradient boosting techniques
Ensuring accurate estimation of seepage loss is critical for advancing water sustainability,
especially in water-scarce regions. This study is aimed at evaluating the performance of …
especially in water-scarce regions. This study is aimed at evaluating the performance of …
[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 …
[HTML][HTML] Prediction on the freeze-thaw resistance of a one-part geopolymer stabilized soil by using deep learning method
C Yao, G Hu, Q Chen, J Wu - Case Studies in Construction Materials, 2024 - Elsevier
The mechanical properties of soil located at cold areas may be deteriorated under freeze-
thaw cycle condition. One-part geopolymer (OPG) is a kind of alkaline-activated material by …
thaw cycle condition. One-part geopolymer (OPG) is a kind of alkaline-activated material by …
[HTML][HTML] Sustainability-oriented construction materials for traditional residential buildings: From material characteristics to environmental suitability
C Wang, Y Zhang, X Hu, X Jia, K Li, C Wang… - Case Studies in …, 2024 - Elsevier
The increasing replacement of traditional construction materials with modern alternatives
often overlooks their superior environmental adaptability and sustainability, resulting in …
often overlooks their superior environmental adaptability and sustainability, resulting in …