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Sohaib Nazar
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Sugarcane bagasse ash as supplementary cementitious material in concrete–a review
BS Thomas, J Yang, A Bahurudeen, JA Abdalla, RA Hawileh, ...
Materials Today Sustainability 15, 100086, 2021
1032021
Rheological properties of cementitious composites with and without nano-materials: A comprehensive review
S Nazar, J Yang, BS Thomas, I Azim, SKU Rehman
Journal of Cleaner Production 272, 122701, 2020
902020
Hybrid graphene oxide/carbon nanotubes reinforced cement paste: An investigation on hybrid ratio
Y Du, J Yang, BS Thomas, L Li, H Li, S Nazar
Construction and Building Materials 261, 119815, 2020
662020
Semi-analytical model for compressive arch action capacity of RC frame structures
I Azim, J Yang, MF Iqbal, MF Javed, S Nazar, F Wang, Q Liu
Structures 27, 1231-1245, 2020
572020
Assessment of rheological and piezoresistive properties of graphene based cement composites
SKU Rehman, Z Ibrahim, M Jameel, SA Memon, MF Javed, M Aslam, ...
International Journal of Concrete Structures and Materials 12, 1-23, 2018
552018
Nano-silica-modified concrete: A bibliographic analysis and comprehensive review of material properties
K Khan, W Ahmad, MN Amin, S Nazar
Nanomaterials 12 (12), 1989, 2022
512022
Comparative study of evolutionary artificial intelligence approaches to predict the rheological properties of fresh concrete
S Nazar, J Yang, A Ahmad, SFA Shah
Materials Today Communications 32, 103964, 2022
372022
Comparative study of experimental and modeling of fly ash-based concrete
K Khan, A Ahmad, MN Amin, W Ahmad, S Nazar, AMA Arab
Materials 15 (11), 3762, 2022
362022
Formulation of estimation models for the compressive strength of concrete mixed with nanosilica and carbon nanotubes
S Nazar, J Yang, MN Amin, K Khan, MF Javed, F Althoey
Developments in the Built Environment 13, 100113, 2023
342023
A comparative study of popular concrete mix design methods from qualitative and cost-effective point of view for extreme environment
M Ahmed, S Islam, S Nazar, RA Khan
Arabian journal for science and engineering 41, 1403-1412, 2016
302016
Machine learning interpretable-prediction models to evaluate the slump and strength of fly ash-based geopolymer
S Nazar, J Yang, MN Amin, K Khan, M Ashraf, F Aslam, MF Javed, ...
Journal of Materials Research and Technology 24, 100-124, 2023
292023
Exploring the use of waste marble powder in concrete and predicting its strength with different advanced algorithms
K Khan, W Ahmad, MN Amin, A Ahmad, S Nazar, AA Alabdullah, ...
Materials 15 (12), 4108, 2022
272022
Evaluating the strength and impact of raw ingredients of cement mortar incorporating waste glass powder using machine learning and SHapley additive ExPlanations (SHAP) methods
HA Alkadhim, MN Amin, W Ahmad, K Khan, S Nazar, MI Faraz, M Imran
Materials 15 (20), 7344, 2022
262022
Estimation of strength, rheological parameters, and impact of raw constituents of alkali-activated mortar using machine learning and SHapely Additive exPlanations (SHAP)
S Nazar, J Yang, XE Wang, K Khan, MN Amin, MF Javed, F Althoey, M Ali
Construction and Building Materials 377, 131014, 2023
252023
Development of the new prediction models for the compressive strength of nanomodified concrete using novel machine learning techniques
S Nazar, J Yang, W Ahmad, MF Javed, H Alabduljabbar, AF Deifalla
Buildings 12 (12), 2160, 2022
252022
Assessment of Artificial Intelligence Strategies to Estimate the Strength of Geopolymer Composites and Influence of Input Parameters
SNMAAF Kaffayatullah Khan, Waqas Ahmad , Muhammad Nasir Amin, Ayaz Ahmad
Polymers 14 (12), 2022
252022
A comparative study of seismic strengthening of RC building by steel bracings and concrete shear walls
Y Alashkar, S Nazar, M Ahmed
International Journal of Civil and Structural Engineering Research 2 (2), 24-34, 2015
252015
Compressive strength estimation of steel-fiber-reinforced concrete and raw material interactions using advanced algorithms
K Khan, W Ahmad, MN Amin, A Ahmad, S Nazar, AA Alabdullah
Polymers 14 (15), 3065, 2022
242022
Use of artificial intelligence for predicting parameters of sustainable concrete and raw ingredient effects and interactions
MN Amin, W Ahmad, K Khan, A Ahmad, S Nazar, AA Alabdullah
Materials 15 (15), 5207, 2022
242022
Split tensile strength prediction of recycled aggregate-based sustainable concrete using artificial intelligence methods
MN Amin, A Ahmad, K Khan, W Ahmad, S Nazar, MI Faraz, AA Alabdullah
Materials 15 (12), 4296, 2022
222022
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