Prediction of concrete and FRC properties at high temperature using machine and deep learning: a review of recent advances and future perspectives
Concrete structures when exposed to elevated temperature significantly decline their
original properties. High temperatures substantially affect the concrete physical and …
original properties. High temperatures substantially affect the concrete physical and …
Fresh and mechanical performances of recycled plastic aggregate geopolymer concrete modified with Nano-silica: Experimental and computational investigation
HU Ahmed, AS Mohammed, AA Mohammed - Construction and Building …, 2023 - Elsevier
Concerning environmental concerns, it has become crucial to invent and develop alternative
construction materials that can replace ordinary Portland cement and use waste materials …
construction materials that can replace ordinary Portland cement and use waste materials …
Machine-learning methods for estimating compressive strength of high-performance alkali-activated concrete
T Shafighfard, F Kazemi, N Asgarkhani… - Engineering Applications of …, 2024 - Elsevier
High-performance alkali-activated concrete (HP-AAC) is acknowledged as a cementless
and environmentally friendly material. It has recently received a substantial amount of …
and environmentally friendly material. It has recently received a substantial amount of …
[HTML][HTML] Eco-friendly mix design of slag-ash-based geopolymer concrete using explainable deep learning
Geopolymer concrete is a sustainable and eco-friendly substitute for traditional OPC
(Ordinary Portland Cement) based concrete, as it reduces greenhouse gas emissions. With …
(Ordinary Portland Cement) based concrete, as it reduces greenhouse gas emissions. With …
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 …
Production, characterization and performance of green geopolymer modified with industrial by-products
Industrial by-products; have received a lot of attention as a possible precursor for cement
and/or concrete production for a more environmentally and economically sound use of raw …
and/or concrete production for a more environmentally and economically sound use of raw …
Artificial intelligence-based prediction of strengths of slag-ash-based geopolymer concrete using deep neural networks
S Oyebisi, T Alomayri - Construction and Building Materials, 2023 - Elsevier
The construction and building industry, one of the greatest emitters of greenhouse gases, is
under tremendous pressure because of the growing concern about global climate change …
under tremendous pressure because of the growing concern about global climate change …
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 …
Modelling soil compaction parameters using an enhanced hybrid intelligence paradigm of ANFIS and improved grey wolf optimiser
The criteria for measuring soil compaction parameters, such as optimum moisture content
and maximum dry density, play an important role in construction projects. On construction …
and maximum dry density, play an important role in construction projects. On construction …
Development of machine learning models for forecasting the strength of resilient modulus of subgrade soil: genetic and artificial neural network approaches
L Khawaja, U Asif, K Onyelowe, AF Al Asmari… - Scientific Reports, 2024 - nature.com
Accurately predicting the Modulus of Resilience (MR) of subgrade soils, which exhibit non-
linear stress–strain behaviors, is crucial for effective soil assessment. Traditional laboratory …
linear stress–strain behaviors, is crucial for effective soil assessment. Traditional laboratory …