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Abolfazl (Nima) Baghbani
Abolfazl (Nima) Baghbani
PhD candidate in Geotechnical engineering, Deakin University, Melbourne, Australia
Verified email at deakin.edu.au - Homepage
Title
Cited by
Cited by
Year
Application of artificial intelligence in geotechnical engineering: A state-of-the-art review
A Baghbani, T Choudhury, S Costa, J Reiner
Earth-Science Reviews 228, 103991, 2022
1222022
Sustainability features of Iran’s vernacular architecture: A comparative study between the architecture of hot–arid and hot–arid–windy regions
S Sahebzadeh, A Heidari, H Kamelnia, A Baghbani
Sustainability 9 (5), 749, 2017
692017
Prediction of secant shear modulus and damping ratio for an extremely dilative silica sand based on machine learning techniques
A Baghbani, T Choudhury, P Samui, S Costa
Soil Dynamics and Earthquake Engineering 165, 107708, 2023
222023
Utilizing artificial intelligence and finite element method to simulate the effects of new tunnels on existing tunnel deformation
A Baghbani, H Baghbani, MM Shalchiyan, K Kiany
Journal of Computational and Cognitive Engineering, 2022
182022
Prediction of Parallel Desiccation Cracks of Clays Using a Classification and Regression Tree (CART) Technique
A Baghbani, S Costa, T Choundhury, R Shirani Faradonbeh
Proceedings of the 8th International Symposium on Geotechnical Safety and …, 2022
172022
Improving soil stability with alum sludge: An AI-enabled approach for accurate prediction of California Bearing Ratio
A Baghbani, MD Nguyen, A Alnedawi, N Milne, T Baumgartl, ...
Applied Sciences 13 (8), 4934, 2023
162023
Development of a Support Vector Machine (SVM) and a Classification and Regression Tree (CART) to Predict the Shear Strength of Sand-Rubber Mixtures
A Baghbani, F Daghistani, H Abuel Naga, S Costa
Proceedings of the 8th International Symposium on Geotechnical Safety and …, 2022
162022
Experimental study on cyclic simple shear behaviour of predominantly dilative silica sand
A Baghbani, S Costa, BC O’Kelly, A Soltani, M Barzegar
International Journal of Geotechnical Engineering 17 (1), 91-105, 2023
152023
AI-based prediction of strength and tensile properties of expansive soil stabilized with recycled ash and natural fibers
A Baghbani, F Daghistani, K Kiany, MM Shalchiyan
Advanced Topics in Mechanics of Materials, Structures and Construction …, 2023
142023
Modeling the effects of particle shape on damping ratio of dry sand by simple shear testing and artificial intelligence
A Baghbani, S Costa, RS Faradonbeh, A Soltani, H Baghbani
Applied Sciences 13 (7), 4363, 2023
132023
Predicting the strength of recycled glass powder-based geopolymers for improving mechanical behavior of clay soils using artificial intelligence
A Baghbani, F Daghistani, H Baghbani, K Kiany
Deakin University, 2023
132023
Investigation on the suitability of aluminium-based water treatment sludge as a sustainable soil replacement for road construction
MD Nguyen, A Baghbani, A Alnedawi, S Ullah, B Kafle, M Thomas, ...
Transportation Engineering 12, 100175, 2023
122023
Artificial intelligence-based prediction of geotechnical impacts of polyethylene bottles and polypropylene on clayey soil
A Baghbani, F Daghistani, H Baghbani, K Kiany, JB Bazaz
EasyChair: Manchester, UK, 2023
122023
Experimental Study on the Suitability of Aluminium-Based Water Treatment Sludge as a Next Generation Sustainable Soil Replacement for Road Construction
MD Nguyen, A Baghbani, A Alnedawi, S Ullah, B Kafle, M Thomas, ...
Available at SSRN 4331275, 2023
122023
Effects of particle shape on shear modulus of sand using dynamic simple shear testing
A Baghbani, S Costa, Y Lu, A Soltani, H Abuel-Naga, P Samui
Arabian journal of geosciences 16 (7), 422, 2023
102023
Ultrasonic Characterization of Compacted Salty Kaolin–Sand Mixtures Under Nearly Zero Vertical Stress Using Experimental Study and Machine Learning
A Baghbani, H Abuel-Naga, R Shirani Faradonbeh, S Costa, R Almasoudi
Geotechnical and Geological Engineering 41 (5), 2987-3012, 2023
102023
Internal Friction Angle of Cohesionless Binary Mixture Sand–Granular Rubber Using Experimental Study and Machine Learning
F Daghistani, A Baghbani, H Abuel Naga, RS Faradonbeh
Geosciences 13 (7), 197, 2023
92023
Developing Mathematical Models for Predicting Cracks and Shrinkage Intensity Factor During Clay Soil Desiccation
A Baghbani, S Costa, T Choudhury
Available at SSRN 4408164, 2023
82023
Abuel Naga, H.; Faradonbeh, RS Internal Friction Angle of Cohesionless Binary Mixture Sand–Granular Rubber Using Experimental Study and Machine Learning
F Daghistani, A Baghbani
Geosciences 13, 197, 2023
82023
Experimental-AI investigation of the effect of particle shape on the damping ratio of dry sand under simple shear test loading
A Baghbani, S Costa, RS Faradonbeh, A Soltani, H Baghbani
Preprints, 2023
72023
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