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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
Extreme Learning Machine Based Prediction of Soil Shear Strength: A Sensitivity Analysis Using Monte Carlo Simulations and Feature Backward Elimination
Extreme Learning Machine Based Prediction of Soil Shear Strength: A Sensitivity Analysis Using Monte Carlo Simulations and Feature Backward Elimination
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Extreme Learning Machine Based Prediction of Soil Shear Strength: A Sensitivity Analysis Using Monte Carlo Simulations and Feature Backward Elimination

Pham, Binh Thai ; Nguyen-Thoi, Trung ; Ly, Hai-Bang ; Nguyen, Manh Duc ; Al-Ansari, Nadhir ; Tran, Van-Quan ; Le, Tien-Thinh

Sustainability, 2020, Vol.12 (6), p.2339 [Periódico revisado por pares]

Basel: MDPI AG

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3
Compressive Strength Prediction of Stabilized Dredged Sediments Using Artificial Neural Network
Compressive Strength Prediction of Stabilized Dredged Sediments Using Artificial Neural Network
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Compressive Strength Prediction of Stabilized Dredged Sediments Using Artificial Neural Network

Tran, Van Quan Liu, Wei ; Wei Liu

Advances in Civil Engineering, 2021, Vol.2021, p.1-8

New York: Hindawi

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4
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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5
The advantages of using a geochemical transport model including thermodynamic equilibrium, kinetic control and surface complexation to simulate the durability of concretes exposed to chlorides and sulphates
The advantages of using a geochemical transport model including thermodynamic equilibrium, kinetic control and surface complexation to simulate the durability of concretes exposed to chlorides and sulphates
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The advantages of using a geochemical transport model including thermodynamic equilibrium, kinetic control and surface complexation to simulate the durability of concretes exposed to chlorides and sulphates

Soive, Anthony ; Tran, Van-Quan ; Gasc-Barbier, Muriel

European journal of environmental and civil engineering, 2019-05, Vol.23 (5), p.552-563 [Periódico revisado por pares]

Taylor & Francis

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6
Application of machine learning technique for predicting and evaluating chloride ingress in concrete
Application of machine learning technique for predicting and evaluating chloride ingress in concrete
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Application of machine learning technique for predicting and evaluating chloride ingress in concrete

TRAN, Van Quan ; GIAP, Van Loi ; VU, Dinh Phien ; GEORGE, Riya Catherine ; HO, Lanh Si

Frontiers of Structural and Civil Engineering, 2022-09, Vol.16 (9), p.1153-1169 [Periódico revisado por pares]

Beijing: Higher Education Press

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7
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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8
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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9
Assessment of different machine learning techniques in predicting the compressive strength of self-compacting concrete
Assessment of different machine learning techniques in predicting the compressive strength of self-compacting concrete
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Assessment of different machine learning techniques in predicting the compressive strength of self-compacting concrete

TRAN, Van Quan ; MAI, Hai-Van Thi ; NGUYEN, Thuy-Anh ; LY, Hai-Bang

Frontiers of Structural and Civil Engineering, 2022-07, Vol.16 (7), p.928-945 [Periódico revisado por pares]

Beijing: Higher Education Press

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10
Using Artificial Intelligence Approach for Investigating and Predicting Yield Stress of Cemented Paste Backfill
Using Artificial Intelligence Approach for Investigating and Predicting Yield Stress of Cemented Paste Backfill
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Using Artificial Intelligence Approach for Investigating and Predicting Yield Stress of Cemented Paste Backfill

Tran, Van Quan

Sustainability, 2023-02, Vol.15 (4), p.2892 [Periódico revisado por pares]

Basel: MDPI AG

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