Author

Mahdi Akbari

Observed name: Akbari, M.

Institution: Semnan University

Observed institution: Semnan University

ORCID: 0000-0002-9359-5095

Observed ORCID: 0000-0002-9359-5095

OpenAlex ID: A5060773993

Compressive strength prediction of hollow concrete masonry blocks using artificial intelligence algorithms

2022 · Pouyan Fakharian, Danial Rezazadeh Eidgahee, et al. · Structures · 85

Laboratory Investigation on the Rutting and Fracture Resistance of Hot-Mix Asphalt Containing Nanographene Oxide

2022 · Mahdi Akbari, Ehsan Shahryari, et al. · Journal of Materials in Civil Engineering · 18

Evaluating the Fatigue Resistance of the Innovative Modified‐Reinforced Composite Asphalt Mixture

2020 · Gholamali Shafabakhsh, Mahdi Akbari, et al. · Advances in Civil Engineering · 15

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Spatial analysis of data frequency and severity of rural accidents

2016 · Gholam Ali Shafabakhsh, Afshin Famili, et al. · Transportation Letters · 15

Laboratory Study of the Effect of Zeolite and Cement Compound on the Unconfined Compressive Strength of a Stabilized Base Layer of Road Pavement

2022 · Amin Sheikh, Mahdi Akbari, et al. · Materials · 13

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Compressive Capacity Prediction of Stirrup-Confined Concrete Columns Using Neuro-Fuzzy System

2022 · Hosein Naderpour, Mahdi Akbari, et al. · Buildings · 12

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The impact of segmentation method on the aggregate goodness-of-fit measurements of non-linear crash prediction models

2020 · Mahdi Akbari, Gholamali Shafabakhsh, et al. · SN Applied Sciences · 11

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Single-vehicle Run-off-road Crash Prediction Model Associated with Pavement Characteristics

2020 · Akbari, M., Shafabakhsh, G., et al. · International Journal of Engineering · 10

Evaluation of Fatigue Behavior of Asphalt Layers Containing Nanosilica Modified Tack Coat

2022 · Behrang Rohani, Mahdi Akbari, et al. · Advances in Materials Science and Engineering · 8

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Classification of Seismic Vulnerability Based on Machine Learning Techniques for RC Frames

2020 · Seyed Hooman Ghasemi, Hossein Bahrami, et al. · Rowan Digitals Works (Rowan University) · 3

GIS-based spatial and temporal analysis of rural traffic crashes and associated characteristics: a case study of Semnan province, Iran

2026 · Mahdi Akbari, Hamidreza Ghazvinian · GeoJournal

Evaluating the multi-scale performance and mechanical behavior of reclaimed asphalt pavement (RAP) mixtures incorporating waste-derived oils and vacuum bottom rejuvenators

2026 · Saeid Amini, Mahdi Akbari, et al. · Scientific Reports

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Examining the impact of nano-titanium dioxide on the adhesion and failure behavior of asphalt mixtures in acid rain conditions

2026 · Hossein Bahrami, Gholamali Shafabakhsh, et al. · Scientific Reports

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Investigation on the Correlation Between Bitumen and Asphalt Mixture Rutting Specification Parameters

2024 · Mohammad Jafari, Mahdi Akbari, et al. · Springer eBooks

Evaluation of Artificial Neural Network Algorithm in Desertification Assessment (case Study: South of Neishabour Township)

2011 · Mahdi Akbari, S H Badiee Nameghi, et al.

Applicability Study of Geosynthetic Reinforced Soil Walls: a Case Study in Golestan Special Road

2008 · Shafabakhsh Gh.A., Hadad A.A.H., et al.

Works count: 18

Citation count: 196

H-index: 8

I10-index: 8