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Faeze Khademi
Faeze Khademi
(Ph.D. and M.S., Civil Eng, Illinois Tech), (M.S., Industrial Eng, UIC), (Bridge Engineer III,HNTB)
Verified email at hawk.iit.edu - Homepage
Title
Cited by
Cited by
Year
Predicting strength of recycled aggregate concrete using artificial neural network, adaptive neuro-fuzzy inference system and multiple linear regression
F Khademi, SM Jamal, N Deshpande, S Londhe
International Journal of Sustainable Built Environment 5 (2), 355-369, 2016
3022016
Multiple linear regression, artificial neural network, and fuzzy logic prediction of 28 days compressive strength of concrete
F Khademi, M Akbari, SM Jamal, M Nikoo
Frontiers of Structural and Civil Engineering, 1-10, 2017
2872017
Evaluation of Concrete Compressive Strength Using Artificial Neural Network and Multiple Linear Regression Models
F Khademi, K Behfarnia
Iran University of Science & Technology 6 (3), 423-432, 2016
872016
Evaluation of data-driven models for predicting the service life of concrete sewer pipes subjected to corrosion
X Li, F Khademi, Y Liu, M Akbari, C Wang, PL Bond, J Keller, G Jiang
Journal of environmental management 234, 431-439, 2019
672019
Prediction of Compressive Strength of Concrete by Data-Driven Models
F Khademi, M Akbari, SM Jamal
i-manager’s Journal on Civil Engineering 5 (2), 16-23, 2015
532015
Predicting the 28 days compressive strength of concrete using artificial neural network
F Khademi, SM Jamal
i-manager's Journal on Civil Engineering 6 (2), 1, 2016
452016
A comprehensive study on the concrete compressive strength estimation using artificial neural network and adaptive neuro-fuzzy inference system
K Behfarnia, F Khademi
Iran University of Science & Technology 7 (1), 71-80, 2017
402017
PREDICTION OF CONCRETE COMPRESSIVE STRENGTH USING ULTRASONIC PULSE VELOCITY TEST AND ARTIFICIAL NEURAL NETWORK MODELING.
F Khademi, M Akbari, SM Jamal
Romanian Journal of Materials/Revista Romana de Materiale 46 (3), 2016
34*2016
Estimating the compressive strength of concrete using multiple linear regression and adaptive neuro-fuzzy inference system
F Khademi, SM Jamal
International Journal of Structural Engineering 8 (1), 20-31, 2017
332017
Determination of damage in reinforced concrete frames with shear walls using self-organizing feature map
M Nikoo, Ł Sadowski, F Khademi, M Nikoo
Applied Computational Intelligence and Soft Computing 2017, 2017
272017
Displacement determination of concrete reinforcement building using data-driven models
F Khademi, M Akbari, M Nikoo
International Journal of Sustainable Built Environment 6 (2), 400-411, 2017
262017
Estimation of fundamental period of reinforced concrete shear wall buildings using self organization feature map
M Nikoo, M Hadzima-Nyarko, F Khademi, S Mohasseb
Structural engineering and mechanics: An international journal 63 (2), 237-249, 2017
222017
Expansive soil: causes and treatments
F Khademi, J Budiman
i-Manager's Journal on Civil Engineering 6 (3), 1, 2016
222016
MEASURING COMPRESSIVE STRENGTH OF PUZZOLAN CONCRETE BY ULTRASONIC PULSE VELOCITY METHOD.
F Khademi, M AKBARI, SM Jamal
Journal on Civil Engineering 5 (3), 2015
192015
Multiple linear regression, artificial neural network, and fuzzy logic prediction of 28 days compressive strength of concrete. Frontiers of Structural and Civil Engineering, 11 …
F Khademi, A Mahmoud, J Sayed Mohammadmehdi, N Mehdi
6
Load rating of railway bridges by analysis and testing
F Khademi
Illinois Institute of Technology, 2015
52015
Enhancing Load Rating of Railway Truss Bridges through a Hybrid Structural Analysis and Instrumentation Procedure
F Khademi
Illinois Institute of Technology, 2017
42017
J.: Predicting the 28 days compressive strength of concrete using an artificial neural network. i-manager’s Journal on Civil Engineering, 6 (2016) 2
F Khademi, S Mohammadmehdi
42016
3-D frame behaviour and load rating of truss bridges in railway infrastructure
G Fu, F Khademi, H Le, S Zoruba
Structure and Infrastructure Engineering 19 (1), 134-145, 2022
2022
In-and Out-of-Plane Bending in Steel Through-Truss Bridges
G Fu, F Khademi, S Zoruba
Practice Periodical on Structural Design and Construction 27 (2), 05022002, 2022
2022
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