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Failure Mode Detection of Reinforced Concrete Shear Walls Using Ensemble Deep Neural Networks

International Journal of Concrete Structures and Materials, 2022, 16(4), 67, pp.431-448

2022

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Structural Damage Identification Using Ensemble Deep Convolutional Neural Network Models

Computer modeling in engineering & sciences, 2023, Vol.134 (2), p.835-855

2023

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Response estimation of reinforced concrete shear walls using artificial neural network and simulated annealing algorithm

Structures (Oxford), 2021-12, Vol.34, p.1155-1168

2021

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A Modeling Strategy for Predicting the Response of Steel Plate-Concrete Composite Walls

Journal of rehabilitation in civil engineering, 2023-05, Vol.11 (2), p.43-63

Mohammad Sadegh Barkhordari

2023

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Multicriteria Decision-Making Methods in Selecting Seismic Upgrading Strategy of High-Rise RC Wall Buildings

Journal of structural engineering (New York, N.Y.), 2022-04, Vol.148 (4)

2022

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Numerical modelling strategy for predicting the response of reinforced concrete walls using Timoshenko theory

Magazine of concrete research, 2021-10, Vol.73 (19), p.988-1010

2021

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Data-driven Dynamic-classifiers-based Seismic Failure Mode Detection of Deep Steel W-shape Columns

Periodica polytechnica. Civil engineering. Bauingenieurwesen, 2023-01, Vol.67 (3), p.936

2023

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Data-Driven Compressive Strength Prediction of Fly Ash Concrete Using Ensemble Learner Algorithms

Buildings (Basel), 2022-02, Vol.12 (2), p.132

2022

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Hybrid Wavelet Scattering Network-Based Model for Failure Identification of Reinforced Concrete Members

Sustainability, 2022-10, Vol.14 (19), p.12041

2022

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Efficiency of Data-Driven Hybrid Algorithms for Steel-Column Base Connection Failure Mode Detection

Practice periodical on structural design and construction, 2023-02, Vol.28 (1)

2023

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The Efficiency of Hybrid Intelligent Models in Predicting Fiber-Reinforced Polymer Concrete Interfacial-Bond Strength

Materials, 2022-04, Vol.15 (9), p.3019

2022

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Efficiency of Hybrid Algorithms for Estimating the Shear Strength of Deep Reinforced Concrete Beams

Periodica polytechnica. Civil engineering. Bauingenieurwesen, 2022-04, Vol.66 (2), p.398

2022

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Enhancing Cold Joint Shear Strength Prediction in Concrete Structures: Novel Approach with Ensemble Spiking Neural Networks

Journal of Structural Design and Construction Practice, 2025-02, Vol.30 (1)

Barkhordari, Mohammad Sadegh

2025

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Machine learning based prediction model for plastic hinge length calculation of reinforced concrete structural walls

Advances in structural engineering, 2023-07, Vol.26 (9), p.1714-1734

2023

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Convolution-based ensemble learning algorithms to estimate the bond strength of the corroded reinforced concrete

Construction & building materials, 2022-12, Vol.359, p.129504, Article 129504

2022

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Interpretable machine learning for predicting heavy metal removal efficiency in electrokinetic soil remediation

Journal of environmental chemical engineering, 2024-12, Vol.12 (6), p.114330, Article 114330

2024

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Effect of Peripheral Wall Openings in Basement and Number of Basement Floors on the Base level of Braced Framed Tube System

International Journal of Civil Engineering, 2018-09, Vol.16 (9), p.1157-1173

2018

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GUI-based platform for slope stability prediction under seismic conditions using machine learning algorithms

Architecture, Structures and Construction, 2024-12, Vol.4 (2-4), p.145-156

2024

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Failure mode identification in reinforced concrete flat slabs using advanced ensemble neural networks

Multiscale and Multidisciplinary Modeling, Experiments and Design, 2024-11, Vol.7 (6), p.5759-5773

2024

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The Effect of Soil around the Basement Walls on the Base Level of Braced Framed Tube System

Civil Engineering Journal, 2018-09, Vol.4 (9), p.2060

2018

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Predicting Autogenous Shrinkage of Concrete Including Superabsorbent Polymers and Other Cementitious Ingredients Using Convolution-based Algorithms

Periodica polytechnica. Civil engineering. Bauingenieurwesen, 2024-10, Vol.68 (4), p.1098

2024

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Efficiency of deep neural networks for reinforced concrete shear walls failure mode detection

2022 27th International Computer Conference, Computer Society of Iran (CSICC), 2022, p.1-4

2022

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Failure Mode Detection of Reinforced Concrete Shear Walls Using Ensemble Deep Neural Networks

Structural Damage Identification Using Ensemble Deep Convolutional Neural Network Models

Response estimation of reinforced concrete shear walls using artificial neural network and simulated annealing algorithm

A Modeling Strategy for Predicting the Response of Steel Plate-Concrete Composite Walls

Multicriteria Decision-Making Methods in Selecting Seismic Upgrading Strategy of High-Rise RC Wall Buildings

Numerical modelling strategy for predicting the response of reinforced concrete walls using Timoshenko theory

Data-driven Dynamic-classifiers-based Seismic Failure Mode Detection of Deep Steel W-shape Columns

Data-Driven Compressive Strength Prediction of Fly Ash Concrete Using Ensemble Learner Algorithms

Hybrid Wavelet Scattering Network-Based Model for Failure Identification of Reinforced Concrete Members

Efficiency of Data-Driven Hybrid Algorithms for Steel-Column Base Connection Failure Mode Detection

The Efficiency of Hybrid Intelligent Models in Predicting Fiber-Reinforced Polymer Concrete Interfacial-Bond Strength

Efficiency of Hybrid Algorithms for Estimating the Shear Strength of Deep Reinforced Concrete Beams

Enhancing Cold Joint Shear Strength Prediction in Concrete Structures: Novel Approach with Ensemble Spiking Neural Networks

Machine learning based prediction model for plastic hinge length calculation of reinforced concrete structural walls

Convolution-based ensemble learning algorithms to estimate the bond strength of the corroded reinforced concrete

Interpretable machine learning for predicting heavy metal removal efficiency in electrokinetic soil remediation

Effect of Peripheral Wall Openings in Basement and Number of Basement Floors on the Base level of Braced Framed Tube System

GUI-based platform for slope stability prediction under seismic conditions using machine learning algorithms

Failure mode identification in reinforced concrete flat slabs using advanced ensemble neural networks

The Effect of Soil around the Basement Walls on the Base Level of Braced Framed Tube System

Predicting Autogenous Shrinkage of Concrete Including Superabsorbent Polymers and Other Cementitious Ingredients Using Convolution-based Algorithms

Efficiency of deep neural networks for reinforced concrete shear walls failure mode detection

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