Machine learning in concrete science: applications, challenges, and best practices
Concrete, as the most widely used construction material, is inextricably connected with
human development. Despite conceptual and methodological progress in concrete science …
human development. Despite conceptual and methodological progress in concrete science …
Optimization of mixture proportions by statistical experimental design using response surface method-A review
Z Li, D Lu, X Gao - Journal of Building Engineering, 2021 - Elsevier
A comprehensive review of the statistical experimental optimization problem concerning the
mixture design of various cement-based materials is presented herein. This review …
mixture design of various cement-based materials is presented herein. This review …
Response surface methodology-based modelling and optimization of sustainable UHPC containing ultrafine fly ash and metakaolin
M Abdellatief, M Abd Elrahman, G Elgendy… - … and Building Materials, 2023 - Elsevier
The current work studies the applicability of using a statistical model supported by response
surface methodology (RSM) in the formulation and optimization of sustainable UHPC …
surface methodology (RSM) in the formulation and optimization of sustainable UHPC …
Production and optimization of sustainable cement brick incorporating clay brick wastes using response surface method
This paper aims to fabricate and optimize eco-sustainable cement brick using different sizes
of clay brick waste (CBW). The prime input factors of mixtures were clay brick powder (CBP) …
of clay brick waste (CBW). The prime input factors of mixtures were clay brick powder (CBP) …
Predicting the compressive strength of concrete containing metakaolin with different properties using ANN
The advantages of using Metakaolin (MK) as a supplementary cementitious material have
led this highly active pozzolan to be widely used in the concrete industry. Awareness of the …
led this highly active pozzolan to be widely used in the concrete industry. Awareness of the …
[HTML][HTML] AI-Assisted optimisation of green concrete mixes incorporating recycled concrete aggregates
Maximising the content of supplementary cementitious materials as a partial replacement for
Portland cement and using recycled concrete aggregates as a full or partial replacement for …
Portland cement and using recycled concrete aggregates as a full or partial replacement for …
[HTML][HTML] Mix design and performance of lightweight ultra high-performance concrete
The inferior mechanical properties and durability of conventional lightweight concrete restrict
its wider application. This study intended to design a novel lightweight ultra high …
its wider application. This study intended to design a novel lightweight ultra high …
[HTML][HTML] Strength and flexural behavior of steel fiber and silica fume incorporated self-compacting concrete
Abstract Self-Compacting Concrete (SCC) that flows by its own weights without compaction
or vibration, thereby no external energy from mechanical equipment. In addition to this …
or vibration, thereby no external energy from mechanical equipment. In addition to this …
Soft computing techniques for predicting the properties of raw rice husk concrete bricks using regression-based machine learning approaches
In this study, the replacement of raw rice husk, fly ash, and hydrated lime for fine aggregate
and cement was evaluated in making raw rice husk-concrete brick. This study optimizes …
and cement was evaluated in making raw rice husk-concrete brick. This study optimizes …
Effect of industrial waste-based precursors on the fresh, hardened and environmental performance of construction and demolition wastes-based geopolymers
The main goal of this study is to evaluate the effects of incorporation of the industrial wastes
into Construction and Demolition Waste (CDW)-based geopolymer mixtures. To do this, a …
into Construction and Demolition Waste (CDW)-based geopolymer mixtures. To do this, a …