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Refinado por: assunto: Materials Science, Multidisciplinary remover
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1
Requirements and possible simplifications for multi-ionic transport models – Case of concrete subjected to wetting-drying cycles in marine environment
Requirements and possible simplifications for multi-ionic transport models – Case of concrete subjected to wetting-drying cycles in marine environment
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Requirements and possible simplifications for multi-ionic transport models – Case of concrete subjected to wetting-drying cycles in marine environment

Soive, Anthony ; Tran, Van Quan ; Baroghel-Bouny, Véronique

Construction & building materials, 2018-03, Vol.164, p.799-808 [Periódico revisado por pares]

Elsevier Ltd

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2
Machine learning approach for investigating chloride diffusion coefficient of concrete containing supplementary cementitious materials
Machine learning approach for investigating chloride diffusion coefficient of concrete containing supplementary cementitious materials
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Machine learning approach for investigating chloride diffusion coefficient of concrete containing supplementary cementitious materials

Quan Tran, Van

Construction & building materials, 2022-04, Vol.328, p.127103, Article 127103 [Periódico revisado por pares]

Elsevier Ltd

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3
Prediction of Later-Age Concrete Compressive Strength Using Feedforward Neural Network
Prediction of Later-Age Concrete Compressive Strength Using Feedforward Neural Network
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Prediction of Later-Age Concrete Compressive Strength Using Feedforward Neural Network

Nguyen, Thuy-Anh ; Ly, Hai-Bang ; Mai, Hai-Van Thi ; Tran, Van Quan Wang, Hainian ; Hainian Wang

Advances in materials science and engineering, 2020, Vol.2020, p.1-8 [Periódico revisado por pares]

New York: Hindawi

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4
Evaluating compressive strength of concrete made with recycled concrete aggregates using machine learning approach
Evaluating compressive strength of concrete made with recycled concrete aggregates using machine learning approach
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Evaluating compressive strength of concrete made with recycled concrete aggregates using machine learning approach

Quan Tran, Van ; Quoc Dang, Viet ; Si Ho, Lanh

Construction & building materials, 2022-03, Vol.323, p.126578, Article 126578 [Periódico revisado por pares]

Elsevier Ltd

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5
Development of deep neural network model to predict the compressive strength of rubber concrete
Development of deep neural network model to predict the compressive strength of rubber concrete
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Development of deep neural network model to predict the compressive strength of rubber concrete

Ly, Hai-Bang ; Nguyen, Thuy-Anh ; Thi Mai, Hai-Van ; Tran, Van Quan

Construction & building materials, 2021-09, Vol.301, p.124081, Article 124081 [Periódico revisado por pares]

Elsevier Ltd

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6
Using a geochemical model for predicting chloride ingress into saturated concrete
Using a geochemical model for predicting chloride ingress into saturated concrete
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Using a geochemical model for predicting chloride ingress into saturated concrete

Tran, Van Quan

Magazine of concrete research, 2022-03, Vol.74 (6), p.303-314 [Periódico revisado por pares]

London: ICE Publishing

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7
Modelisation of chloride reactive transport in concrete including thermodynamic equilibrium, kinetic control and surface complexation
Modelisation of chloride reactive transport in concrete including thermodynamic equilibrium, kinetic control and surface complexation
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Modelisation of chloride reactive transport in concrete including thermodynamic equilibrium, kinetic control and surface complexation

Tran, Van Quan ; Soive, Anthony ; Baroghel-Bouny, Véronique

Cement and concrete research, 2018-08, Vol.110, p.70-85 [Periódico revisado por pares]

Elmsford: Elsevier Ltd

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8
A numerical model including thermodynamic equilibrium, kinetic control and surface complexation in order to explain cation type effect on chloride binding capability of concrete
A numerical model including thermodynamic equilibrium, kinetic control and surface complexation in order to explain cation type effect on chloride binding capability of concrete
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A numerical model including thermodynamic equilibrium, kinetic control and surface complexation in order to explain cation type effect on chloride binding capability of concrete

Tran, Van Quan ; Soive, Anthony ; Bonnet, Stéphanie ; Khelidj, Abdelhafid

Construction & building materials, 2018-12, Vol.191, p.608-618 [Periódico revisado por pares]

Elsevier Ltd

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9
Optimization of Artificial Intelligence System by Evolutionary Algorithm for Prediction of Axial Capacity of Rectangular Concrete Filled Steel Tubes under Compression
Optimization of Artificial Intelligence System by Evolutionary Algorithm for Prediction of Axial Capacity of Rectangular Concrete Filled Steel Tubes under Compression
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Optimization of Artificial Intelligence System by Evolutionary Algorithm for Prediction of Axial Capacity of Rectangular Concrete Filled Steel Tubes under Compression

Nguyen, Hung Quang ; Ly, Hai-Bang ; Tran, Van Quan ; Nguyen, Thuy-Anh ; Le, Tien-Thinh ; Pham, Binh Thai

Materials, 2020-03, Vol.13 (5), p.1205 [Periódico revisado por pares]

Switzerland: MDPI AG

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10
Prediction of Pile Axial Bearing Capacity Using Artificial Neural Network and Random Forest
Prediction of Pile Axial Bearing Capacity Using Artificial Neural Network and Random Forest
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Prediction of Pile Axial Bearing Capacity Using Artificial Neural Network and Random Forest

Pham, Tuan Anh ; Ly, Hai-Bang ; Tran, Van Quan ; Giap, Loi Van ; Vu, Huong-Lan Thi ; Duong, Hong-Anh Thi

Applied sciences, 2020-03, Vol.10 (5), p.1871 [Periódico revisado por pares]

Basel: MDPI AG

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