[HTML][HTML] Neuro-fuzzy systems in construction engineering and management research
Neuro-fuzzy systems (NFS) can explicitly represent and model the input–output
relationships of complex problems and non-linear systems, like those inherent in real-world …
relationships of complex problems and non-linear systems, like those inherent in real-world …
Evaluating risk of water mains failure using a Bayesian belief network model
G Kabir, S Tesfamariam, A Francisque… - European Journal of …, 2015 - Elsevier
It has been reported that since year 2000, there have been an average 700 water main
breaks per day only in Canada and the USA costing more than CAD 10 billions/year …
breaks per day only in Canada and the USA costing more than CAD 10 billions/year …
Prediction of mechanical properties of lightweight basalt fiber reinforced concrete containing silica fume and fly ash: Experimental and numerical assessment
As a building material, concrete has its own advantages and disadvantages. One of the
weaknesses of concrete is its very low tensile strength and strain as well as brittleness under …
weaknesses of concrete is its very low tensile strength and strain as well as brittleness under …
Prediction of concrete compressive strength: Research on hybrid models genetic based algorithms and ANFIS
Z Yuan, LN Wang, X Ji - Advances in Engineering Software, 2014 - Elsevier
The management of concrete quality is an important task of concrete industry. This paper
researched on the structured and unstructured factors which affect the concrete quality …
researched on the structured and unstructured factors which affect the concrete quality …
Prediction of compressive strength of self-compacting concrete by ANFIS models
B Vakhshouri, S Nejadi - Neurocomputing, 2018 - Elsevier
Many studies predict the compressive strength of conventional concrete from hardened
characteristics; however, in the case of self-compacting concrete, these investigations are …
characteristics; however, in the case of self-compacting concrete, these investigations are …
Digital transformation of concrete technology—a review
Y Gamil, A Cwirzen - Frontiers in Built Environment, 2022 - frontiersin.org
Digital transformation of concrete technology is one of the current “hot topics” tackled by both
academia and industry. The final goal is to fully integrate the already existing advanced …
academia and industry. The final goal is to fully integrate the already existing advanced …
Prediction of ultimate load of rectangular CFST columns using interpretable machine learning method
The ultimate compressive load of concrete‐filled steel tubular (CFST) structural members is
recognized as one of the most important engineering parameters for the design of such …
recognized as one of the most important engineering parameters for the design of such …
An optimized instance based learning algorithm for estimation of compressive strength of concrete
B Ahmadi-Nedushan - Engineering Applications of Artificial Intelligence, 2012 - Elsevier
This article proposes an optimized instance-based learning approach for prediction of the
compressive strength of high performance concrete based on mix data, such as water to …
compressive strength of high performance concrete based on mix data, such as water to …
Predicting Marshall stability and flow of bituminous mix containing waste fillers by the adaptive neuro-fuzzy inference system
R Mistry, TK Roy - Revista de la construcción, 2020 - SciELO Chile
The practice of using different non-biddable wastes in place of conventional filler is
successively extended nowadays, leading it hard to predict the properties of modified …
successively extended nowadays, leading it hard to predict the properties of modified …
Optimizing the durability and service life of self-consolidating concrete containing metakaolin using statistical analysis
AA Abouhussien, AAA Hassan - Construction and Building Materials, 2015 - Elsevier
This paper utilizes the statistical design of experiments approach to optimize the mixture
design of self-consolidating concrete (SCC) incorporating metakaolin (MK). The factors …
design of self-consolidating concrete (SCC) incorporating metakaolin (MK). The factors …