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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
1202022
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
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
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
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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