[HTML][HTML] Marine predators algorithm: A comprehensive review

S Mugemanyi, Z Qu, FX Rugema, Y Dong… - Machine Learning with …, 2023 - Elsevier
Marine predators algorithm (MPA) is a recently proposed metaheuristic algorithm that
mimics the marine predators behavior when attacking their preys. Recently, the MPA has …

[HTML][HTML] Multi-objective optimization of sustainable concrete containing fly ash based on environmental and mechanical considerations

KC Onyelowe, DPN Kontoni, AM Ebid, F Dabbaghi… - Buildings, 2022 - mdpi.com
Infrastructure design, construction and development experts are making frantic efforts to
overcome the overbearing effects of greenhouse gas emissions resulting from the continued …

Influence of sustainable waste granite, marble and nano-alumina additives on ordinary concretes: a physical, structural, and radiological study

AA Mahmoud, AA El-Sayed, AM Aboraya, IN Fathy… - Scientific Reports, 2024 - nature.com
This study investigates the individual and combined effects of enhancing the radiation
shielding properties of waste concrete using the optimal mix design of two waste material …

Machine learning for predicting concrete carbonation depth: a comparative analysis and a novel feature selection

M Ehsani, M Ostovari, S Mansouri, H Naseri… - … and Building Materials, 2024 - Elsevier
The accurate prediction of concrete carbonation depth is essential to prevent concrete from
cracking and corrosion. However, identifying the critical parameters affecting carbonation …

Tough and Ductile Architected Nacre‐Like Cementitious Composites

S Gupta, HS Esmaeeli, R Moini - Advanced Functional …, 2024 - Wiley Online Library
Enhancing fracture toughness and ductility of brittle materials such as concrete remains a
challenge. Nature offers numerous mechanisms to enhance fracture toughness using …

[HTML][HTML] Optimization of green concrete containing fly ash and rice husk ash based on hydro-mechanical properties and life cycle assessment considerations

KC Onyelowe, AM Ebid, HA Mahdi… - Civil Engineering …, 2022 - civilejournal.org
The development of sustainable concrete in achieving the developmental goals of the
United Nations in terms of sustainable infrastructure and innovative technology forms part of …

Prediction of compressive strength of fly ash blended pervious concrete: a machine learning approach

N Sathiparan, P Jeyananthan… - International journal of …, 2023 - Taylor & Francis
This study presents a prediction model for estimating the compressive strength of pervious
concrete through the utilisation of machine learning techniques. The models were trained …

An intelligent mix design system for sustainable concrete containing multi-source recycled aggregate

Q Deng, J **ao, Z Duan, L Li, X Guan - Journal of Building Engineering, 2024 - Elsevier
The source complexity of recycled aggregate (RA) generally leads to significant fluctuations
in the aggregate quality, which brings difficulties in the mix design of the recycled aggregate …

A novel evolutionary learning to prepare sustainable concrete mixtures with supplementary cementitious materials

H Naseri, P Hosseini, H Jahanbakhsh… - Environment …, 2023 - Springer
In this study, sustainable mixture designs of three concrete types, including fly ash concrete,
silica fume concrete, and ground granulated blast furnace slag concrete, were investigated …

[HTML][HTML] Comparative studies of LC3-and fly ash-based blended binders in fibre-reinforced printed concrete (FRPC): Rheological and quasi-static mechanical …

KA Ibrahim, GPAG van Zijl, AJ Babafemi - Journal of Building Engineering, 2023 - Elsevier
Supplementary cementitious materials (SCMs) became in recent decades popular and
promising materials as partial replacements for cement in construction engineering. These …