Machine learning for structural engineering: A state-of-the-art review
HT Thai - Structures, 2022 - Elsevier
Abstract Machine learning (ML) has become the most successful branch of artificial
intelligence (AI). It provides a unique opportunity to make structural engineering more …
intelligence (AI). It provides a unique opportunity to make structural engineering more …
Computational design optimization of concrete mixtures: A review
MA DeRousseau, JR Kasprzyk, WV Srubar Iii - Cement and Concrete …, 2018 - Elsevier
A comprehensive review of optimization research concerning the design and proportioning
of concrete mixtures is presented herein. Mixture design optimization is motivated by an ever …
of concrete mixtures is presented herein. Mixture design optimization is motivated by an ever …
A comprehensive assessment of the global warming potential of geopolymer concrete
Abstract Approximately 5%–7% of global Carbon Dioxide (CO 2) emissions can be
attributed to Ordinary Portland Cement (OPC), which has traditionally been used as the …
attributed to Ordinary Portland Cement (OPC), which has traditionally been used as the …
Multi-objective optimization of concrete mixture proportions using machine learning and metaheuristic algorithms
For the optimization of concrete mixture proportions, multiple objectives (eg, strength, cost,
slump) with many variables (eg, concrete components) under highly nonlinear constraints …
slump) with many variables (eg, concrete components) under highly nonlinear constraints …
Estimating compressive strength of modern concrete mixtures using computational intelligence: A systematic review
The mixture proportioning of conventional concrete is commonly established using
regression analysis of experimental data. However, such traditional empirical procedures …
regression analysis of experimental data. However, such traditional empirical procedures …
Multi-objective optimization of fly ash-slag based geopolymer considering strength, cost and CO2 emission: a new framework based on tree-based ensemble models …
Fly ash-slag based geopolymer has excellent mechanical performance with low carbon
footprints, which has emerged as a promising alternative to Portland cement. The …
footprints, which has emerged as a promising alternative to Portland cement. The …
Post-fire compressive strength of recycled PET aggregate concrete reinforced with steel fibers: Optimization and prediction via RSM and GEP
M Nematzadeh, AA Shahmansouri, M Fakoor - Construction and Building …, 2020 - Elsevier
A major environmental challenge facing metropolitan areas is recycling and removing waste
plastic materials including PET from the environment. On one hand, using waste materials …
plastic materials including PET from the environment. On one hand, using waste materials …
An RF and LSSVM–NSGA-II method for the multi-objective optimization of high-performance concrete durability
H Chen, T Deng, T Du, B Chen, MJ Skibniewski… - Cement and Concrete …, 2022 - Elsevier
The development of cost-effective high-performance concrete (HPC) has long been a focus
of concrete research. Multiple objectives are required for the design of the HPC mix …
of concrete research. Multiple objectives are required for the design of the HPC mix …
Properties of self-compacting concretes made with binary, ternary, and quaternary cementitious blends of fly ash, blast furnace slag, and silica fume
Self-compacting concretes (SCCs) have brought a promising insight into the concrete
industry to provide environmental impact and cost reduction. However, the use of ternary …
industry to provide environmental impact and cost reduction. However, the use of ternary …
[图书][B] Cement-based composites: materials, mechanical properties and performance
AM Brandt - 2005 - taylorfrancis.com
Cement-Based Composites takes a different approach from most other books in the field by
viewing concrete as an advanced composite material, and by considering the properties and …
viewing concrete as an advanced composite material, and by considering the properties and …