Papers by Bakhta Boukhatem
Bookmarks Related papers MentionsView impact
Techno-Press, Jul 1, 2018
Bookmarks Related papers MentionsView impact
Bookmarks Related papers MentionsView impact
SP-349: 11th ACI/RILEM International Conference on Cementitious Materials and Alternative Binders for Sustainable Concrete, 2021
Bookmarks Related papers MentionsView impact
Self-compacting concrete (SCC) developed in Japan<br> in the late 80s has enabled the const... more Self-compacting concrete (SCC) developed in Japan<br> in the late 80s has enabled the construction industry to reduce<br> demand on the resources, improve the work condition and also<br> reduce the impact of environment by elimination of the need for<br> compaction. Fuzzy logic (FL) approaches has recently been used to<br> model some of the human activities in many areas of civil<br> engineering applications. Especially from these systems in the model<br> experimental studies, very good results have been obtained. In the<br> present study, a model for predicting compressive strength of SCC<br> containing various proportions of fly ash, as partial replacement of<br> cement has been developed by using Fuzzy Inference System (FIS).<br> For the purpose of building this model, a database of experimental<br> data were gathered from the literature and used for training and<br> testing the model. The used data as ...
Bookmarks Related papers MentionsView impact
La formulation des bétons implique le choix ou la sélection des proportions constitutives qui aur... more La formulation des bétons implique le choix ou la sélection des proportions constitutives qui auront comme conséquence certaines propriétés désirées. Elle s’est compliquée dans les années récentes avec l’introduction de nouveaux constituants tels que les adjuvants chimiques, les aditions minérales ou les fibres d’une part et l’élargissement de la gamme des propriétés d’usage du matériaux en relation de avec la totalité de son cycle de vie d’autre part. L’objectif principal de cette étude est de maintenir la fiabilité des réseaux de neurones pour entreprendre la conception de mélanges de béton incorporant des ajouts et de tenter d’assurer que le béton résultant ne sera pas seulement économique et assez résistant, mais il aura certaine garantie quant aux caractéristiques de la maniabilité adéquate. Pour cela une application de simulation des réseaux de neurones est employée pour créer le meilleur réseau. Les données utilisées pour l’apprentissage de ce réseau sont obtenues à partir de...
Bookmarks Related papers MentionsView impact
SP-320:10th ACI/RILEM International Conference on Cementitious Materials and Alternative Binders for Sustainable Concrete, 2017
Bookmarks Related papers MentionsView impact
Universite Hassiba Benbouali de Chlef ; Faculte de Genie civil et d'Architecture ; Laboratoir... more Universite Hassiba Benbouali de Chlef ; Faculte de Genie civil et d'Architecture ; Laboratoire de Geomateriaux .
Bookmarks Related papers MentionsView impact
Frontiers of Structural and Civil Engineering, 2021
Carbonation is one of the most aggressive phenomena affecting reinforced concrete structures and ... more Carbonation is one of the most aggressive phenomena affecting reinforced concrete structures and causing their degradation over time. Once reinforcement is altered by carbonation, the structure will no longer fulfill service requirements. For this purpose, the present work estimates the lifetime of fly ash concrete by developing a carbonation depth prediction model that uses an artificial neural network technique. A collection of 300 data points was made from experimental results available in the published literature. Backpropagation training of a three-layer perceptron was selected for the calculation of weights and biases of the network to reach the desired performance. Six parameters affecting carbonation were used as input neurons: binder content, fly ash substitution rate, water/binder ratio, CO 2 concentration, relative humidity, and concrete age. Moreover, experimental validation carried out for the developed model shows that the artificial neural network has strong potential as a feasible tool to accurately predict the carbonation depth of fly ash concrete. Finally, a mathematical formula is proposed that can be used to successfully estimate the service life of fly ash concrete.
Bookmarks Related papers MentionsView impact
Asian Journal of Civil Engineering, 2021
Bookmarks Related papers MentionsView impact
MATEC Web of Conferences, 2018
Bookmarks Related papers MentionsView impact
Construction and Building Materials, 2019
Bookmarks Related papers MentionsView impact
Neural Computing and Applications, 2017
Bookmarks Related papers MentionsView impact
Construction and Building Materials, 2017
Bookmarks Related papers MentionsView impact
JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT, 2017
This paper presents an application of two advanced approaches, Artificial Neural Networks (ANN) a... more This paper presents an application of two advanced approaches, Artificial Neural Networks (ANN) and Principal Component Analysis (PCA) in predicting the axial pile capacity. The combination of these two approaches allowed the development of an ANN model that provides more accurate axial capacity predictions. The model makes use of Back-Propagation Multi-Layer Perceptron (BPMLP) with Bayesian Regularization (BR), and it is established through the incorporation of approximately 415 data sets obtained from data published in the literature for a wide range of un-cemented soils and pile configurations. The compiled database includes, respectively 247 and 168 loading tests on large-and low-displacement driven piles. The contributions of the soil above and below pile toe to the pile base resistance are pre-evaluated using separate finite element (FE) analyses. The assessment of the predictive performance of the new method against a number of traditional SPT-based approaches indicates that...
Bookmarks Related papers MentionsView impact
Neural Computing and Applications, 2016
Bookmarks Related papers MentionsView impact
ABSTRACT
Bookmarks Related papers MentionsView impact
ABSTRACT
Bookmarks Related papers MentionsView impact
Bookmarks Related papers MentionsView impact
Aci Materials Journal
ABSTRACT
Bookmarks Related papers MentionsView impact
Uploads
Papers by Bakhta Boukhatem