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 …
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 …
Prediction of building energy performance using mathematical gene-expression programming for a selected region of dry-summer climate
Developing energy-efficient buildings considering building design parameters can help
reduce buildings' energy consumption. The energy efficiency of residential buildings is …
reduce buildings' energy consumption. The energy efficiency of residential buildings is …
[HTML][HTML] Prediction of high strength ternary blended concrete containing different silica proportions using machine learning approaches
TV Nagaraju, S Mantena, M Azab, SS Alisha… - Results in …, 2023 - Elsevier
The most often utilized material in construction is concrete. High plasticity, good economy,
safety, and exceptional durability are a few of its characteristics. Concrete is a type of …
safety, and exceptional durability are a few of its characteristics. Concrete is a type of …
Evolutionary optimization of machine learning algorithm hyperparameters for strength prediction of high-performance concrete
High-performance concrete (HPC) is designed to be more efficient and shows a higher
value of flowability, strength, and durability in comparison to conventional concrete. The …
value of flowability, strength, and durability in comparison to conventional concrete. The …
Machine learning approach for investigating compressive strength of self-compacting concrete containing supplementary cementitious materials and recycled …
P Huang, K Dai, X Yu - Journal of Building Engineering, 2023 - Elsevier
Supplementary cementitious materials (SCMs) and recycled coarse aggregate (RCA) have
the potential for sustainable development and resource utilization and have been widely …
the potential for sustainable development and resource utilization and have been widely …
[HTML][HTML] BCLH2Pro: A novel computational tools approach for hydrogen production prediction via machine learning in biomass chemical looping processes
T Tuntiwongwat, S Thammawiset, TR Srinophakun… - Energy and AI, 2024 - Elsevier
This study optimizes biomass chemical looping processes (BCLpro), a technique for
converting biomass to energy, through machine learning (ML) for sustainable energy …
converting biomass to energy, through machine learning (ML) for sustainable energy …
Unveiling fine-scale urban third places for remote work using mobile phone big data
Third places offer a creative alternative for both work from traditional office and home, which
are becoming increasingly popular. Previous studies primarily focused on qualitative …
are becoming increasingly popular. Previous studies primarily focused on qualitative …
Comparative analysis of various machine learning algorithms to predict 28-day compressive strength of Self-compacting concrete
Construction industry is indirectly the largest source of CO 2 emissions in the atmosphere,
due to the use of cement in concrete. These emissions can be reduced by using industrial …
due to the use of cement in concrete. These emissions can be reduced by using industrial …
[HTML][HTML] Advancing mix design prediction in 3D printed concrete: Predicting anisotropic compressive strength and slump flow
Introducing 3D-concrete printing has started a revolution in the construction industry,
presenting unique opportunities alongside undeniable challenges. Among these, the major …
presenting unique opportunities alongside undeniable challenges. Among these, the major …