Ikuti
Peyman Mehrabi
Peyman Mehrabi
Research fellow at Western Sydney University
Email yang diverifikasi di westernsydney.edu.au
Judul
Dikutip oleh
Dikutip oleh
Tahun
Application of a Hybrid Artificial Neural Network-Particle Swarm Optimization (ANN-PSO) Model in Behavior Prediction of Channel Shear Connectors Embedded in Normal and High …
M Shariati, MS Mafipour, P Mehrabi, A Bahadori, Y Zandi, MNA Salih, ...
Applied Sciences 9 (24), 55-34, 2019
3212019
Evaluating the use of recycled concrete aggregate and pozzolanic additives in fiber-reinforced pervious concrete with industrial and recycled fibers
HR AliToghroli, PeymanMehrabi, MahdiShariati, Nguyen ThoiTrung, SoheilJahandari
Construction and Building Materials 252, 2020
3132020
Prediction of concrete strength in presence of furnace slag and fly ash using Hybrid ANN-GA (Artificial Neural Network-Genetic Algorithm)
M Shariati, MS Mafipour, P Mehrabi, M Ahmadi, K Wakil, NT Trung, ...
Smart Structures and Systems, An International Journal 25 (2), 183-195, 2020
2692020
Effect of pumice powder and nano-clay on the strength and permeability of fiber-reinforced pervious concrete incorporating recycled concrete aggregate
P Mehrabi, M Shariati, K Kabirifar, M Jarrah, H Rasekh, NT Trung, ...
Construction and Building Materials 287, 122652, 2021
2542021
A novel approach to predict shear strength of tilted angle connectors using artificial intelligence techniques
M Shariati, MS Mafipour, P Mehrabi, A Shariati, A Toghroli, NT Trung, ...
Engineering with Computers 37, 2089-2109, 2021
2442021
Application of Extreme Learning Machine (ELM) and Genetic Programming (GP) to design steel-concrete composite floor systems at elevated temperatures
MNASSPN Mahdi Shariati, Mohammad Saeed Mafipour, Peyman Mehrabi, Yousef ...
Steel and Composite Structures 33 (3), 319-332, 2019
2152019
Moment-rotation estimation of steel rack connection using extreme learning machine
MK Mahdi Shariati, Nguyen Thoi Trung, Karzan Wakil, Peyman Mehrabi, Maryam Safa
Steel and Composite Structures 31 (5), 427-435, 2019
182*2019
Numerical study on the structural performance of corrugated low yield point steel plate shear walls with circular openings
NTTMNAS Mahdi Shariati, Shervin Safaei Faegh, Peyman Mehrabi, Seyedmasoud ...
Steel and Composite Structures 33 (4), 569-581, 2019
164*2019
Monotonic behavior of C and L shaped angle shear connectors within steel concrete composite beams: an experimental investigation
ABAT Mahdi Shariati, Farzad Tahmasbi, Peyman Mehrabi
Steel and Composite Structures 35 (2), 237-247, 2020
1342020
Experimental investigation on the effect of cementitious materials on fresh and mechanical properties of self-consolidating concrete
MNASSPN Mahdi Shariati, Shervin Rafiei, Peyman Mehrabi, Yousef Zandi ...
Advances in Concrete Construction 8 (3), 225-237, 2019
1242019
Investigation of a method for strengthening perforated cold-formed steel profiles under compression loads
E Taheri, A Firouzianhaji, N Usefi, P Mehrabi, H Ronagh, B Samali
Applied Sciences 9 (23), 5085, 2019
742019
Seismic response prediction of FRC rectangular columns using intelligent fuzzy-based hybrid metaheuristic techniques
P Mehrabi, S Honarbari, S Rafiei, S Jahandari, M Alizadeh Bidgoli
Journal of Ambient Intelligence and Humanized Computing 12, 10105-10123, 2021
712021
Application of artificial intelligence to evaluate the fresh properties of self-consolidating concrete
Y Feng, M Mohammadi, L Wang, M Rashidi, P Mehrabi
Materials 14 (17), 4885, 2021
712021
Shake table testing of standard cold-formed steel storage rack
A Firouzianhaji, N Usefi, B Samali, P Mehrabi
Applied Sciences 11 (4), 1821, 2021
702021
Using genetic algorithms method for the paramount design of reinforced concrete structures
KW Chuanhua Xu, Xiliang Zhang, James H. Haido, Peyman Mehrabi, Ali Shariati ...
Structural Engineering and Mechanics 71 (5), 503-513, 2019
70*2019
Experimental and numerical investigation of a method for strengthening cold-formed steel profiles in bending
E Taheri, A Firouzianhaji, P Mehrabi, B Vosough Hosseini, B Samali
Applied Sciences 10 (11), 3855, 2020
672020
Utilizing artificial intelligence to predict the superplasticizer demand of self-consolidating concrete incorporating pumice, slag, and fly ash powders
J Liu, M Mohammadi, Y Zhan, P Zheng, M Rashidi, P Mehrabi
Materials 14 (22), 6792, 2021
642021
Numerical evaluation of the upright columns with partial reinforcement along with the utilisation of neural networks with combining feature-selection method to predict the load …
E Taheri, P Mehrabi, S Rafiei, B Samali
Applied Sciences 11 (22), 11056, 2021
632021
Application of artificial intelligence technique in optimization and prediction of the stability of the walls against wind loads in building design
D Hu, H Sun, P Mehrabi, YA Ali, M Al-Razgan
Mechanics of Advanced Materials and Structures 31 (19), 4755-4772, 2024
602024
Sustainable design of self-consolidating green concrete with partial replacements for cement through neural-network and fuzzy technique
S Han, D Zheng, B Mehdizadeh, EA Nasr, MU Khandaker, M Salman, ...
Sustainability 15 (6), 4752, 2023
602023
Sistem tidak dapat melakukan operasi ini. Coba lagi nanti.
Artikel 1–20