Self-compacting concrete strength prediction using surrogate models

PG Asteris, KG Kolovos - Neural Computing and Applications, 2019 - Springer
Despite the extensive use of self-compacting concrete in constructions over the last
decades, there is not yet a robust quantitative method, available in the literature, which can …

Prediction of self-compacting concrete strength using artificial neural networks

PG Asteris, KG Kolovos, MG Douvika… - European Journal of …, 2016 - Taylor & Francis
Despite the widespread use of self-compacting concrete (SCC) in construction in the last
decades, there is not yet a robust quantitative method, available in the literature, which can …

Connecting concrete technology and machine learning: proposal for application of ANNs and CNT/concrete composites in structural health monitoring

S Kekez, J Kubica - RSC advances, 2020 - pubs.rsc.org
Carbon nanotube/concrete composite possesses piezoresistivity ie self-sensing capability of
concrete structures even in large scale. By incorporating smart materials in the structural …

A new method for predicting the ingredients of self-compacting concrete (SCC) including fly ash (FA) using data envelopment analysis (DEA)

FR Balf, HM Kordkheili, AM Kordkheili - Arabian Journal for Science and …, 2021 - Springer
Self-compacting concrete (SCC) is a liquid mixture appropriate for putting in structures with
excessive reinforcement without vibration. The application of SCC has found wide use in …

Predicting the compressive strength of a quaternary blend concrete using Bayesian regularized neural network

A Imam, BA Salami, TA Oyehan - Journal of Structural Integrity and …, 2021 - Taylor & Francis
Concrete produced with ordinary Portland cement (OPC) along with insertion of
supplementary materials increases the level of nonlinearity. Due to this increased non …

Modeling the fresh and hardened stage properties of self-compacting concrete using random kitchen sink algorithm

D Sathyan, KB Anand, AJ Prakash… - International journal of …, 2018 - Springer
High performance concrete especially self compacting concrete (SCC) has got wide
popularity in construction industry because of its ability to flow through congested …

Assessment of different machine learning techniques in predicting the compressive strength of self-compacting concrete

VQ Tran, HVT Mai, TA Nguyen, HB Ly - Frontiers of Structural and Civil …, 2022 - Springer
The compressive strength of self-compacting concrete (SCC) needs to be determined during
the construction design process. This paper shows that the compressive strength of SCC …

Compressive Strength Prediction of Self‐Compacting Concrete‐A Bat Optimization Algorithm Based ANNs

A Andalib, B Aminnejad, A Lork - Advances in Materials …, 2022 - Wiley Online Library
This article examines the feasibility of using bat‐trained artificial neural networks (ANNs) to
predict the compressive strength of self‐compacting concrete (SCC). The nonlinear behavior …

Prediction of the compressive strength of self‐compacting concrete using artificial neural networks based on rheological parameters

Y el Asri, M Benaicha, M Zaher… - Structural …, 2022 - Wiley Online Library
Self‐compacting concrete (SCC) is a fluid concrete designed to flow freely through
reinforcements in order to completely fill the formwork. The appearance of this type of …

[HTML][HTML] A multidisciplinary engineering-based approach for tunnelling strengthening with a new fibre reinforced shotcrete technology

J Barros, H Costelha, D Bento, N Brites, R Luís… - … and Underground Space …, 2024 - Elsevier
This paper describes the relevant research activities that are being carried out on the
development of a novel shotcrete technology capable of applying, autonomously and in real …