متابعة
Arslan Qayyum Khan
Arslan Qayyum Khan
بريد إلكتروني تم التحقق منه على illinois.edu
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Optimized artificial neural network model for accurate prediction of compressive strength of normal and high strength concrete
AQ Khan, HA Awan, M Rasul, ZA Siddiqi, A Pimanmas
Cleaner Materials 10, 100211, 2023
232023
Prediction of Compressive Strength of Fly Ash-Based Geopolymer Concrete Using Supervised Machine Learning Methods
AQ Khan, MH Naveed, MD Rasheed, P Miao
Arabian Journal for Science and Engineering, 1-16, 2023
152023
Flexural strengthening of RC beams using sisal fibre reinforced polymer (SFRP) composite with anchorage systems
AQ Khan, A Pimanmas, P Chindaprasirt
Results in Engineering 18, 101116, 2023
152023
Flexural Strengthening of RC Beams with Sisal Fiber Composites and Sisal Fiber Rods
AQ Khan, Q Hussain, W Rattanapitikon, A Pimanmas
Materials Science Forum 860, 144-147, 2016
62016
Approximate analytical conditions of a panel RC slab for reproducing the fatigue behaviors of a real bridge RC slab
AQ Khan, P Deng, T Matsumoto
Journal of Advanced Concrete Technology 18 (1), 1-16, 2020
42020
Flexural behavior of RC beams strengthened with BFRP bars and CFRP U-jackets: Experimental and numerical analysis
J Cui, G Xing, P Miao, Y Zhang, Z Chang, AQ KHAN
Journal of Building Engineering, 110932, 2024
32024
Prediction of Stress-Strain Behavior of PET FRP-Confined Concrete Using Machine Learning Models
AQ Khan, MH Naveed, MD Rasheed, A Pimanmas
Arabian Journal for Science and Engineering, 2024
22024
Shear strengthening of RC deep beams using glass chopped strand mat (GCSM) composite
L Lam, AQ Khan, A Pimanmas
Case Studies in Construction Materials 16, e01018, 2022
22022
Development of a Numerical Method for Capturing the Deformation Behaviors of Real Bridge RC Slabs
AQ Khan, P Deng, T Matsumoto
JSCE Hokkaido Branch 76, 2020
22020
Development of an Effective Numerical Model for Fatigue Analysis of RC Bridge Slabs
AQ Khan, P Deng, T Matsumoto
JSCE 10th Slab Symposium, 319-324, 2018
12018
Equivalent boundary conditions to analyze the realistic fatigue behaviors of a bridge RC slab
AQ Khan, P Deng, T Matsumoto
Structural Engineering and Mechanics 82 (3), 369-383, 2022
2022
Boundary Conditions of Panel RC Slabs for Realistic Fatigue Behavior Analysis of Bridge RC Slabs
AQ KHAN
北海道大学, 2020
2020
Numerical Investigation of the Effects of Boundary Conditions on Fatigue Behaviors of RC Slab under Moving Wheel
AQ Khan, P Deng, T Matsumoto
Bridge Engineering Institute (BEI-2019) Conference, 704-708, 2019
2019
Fatigue Analysis of an RC Bridge Slab Subjected to a Stepwise Loading Sequence using the Bridging Stress Degradation Concept
AQ Khan, P Deng, T Matsumoto
JSCE Hokkaido Branch 75, 2019
2019
Flexural Strengthening of RC Beams with Sisal Fiber Composites
AQ Khan
Sirindhorn International Institute of Technology, Thammasat University, 2016
2016
Strengthening of Reinforced Concrete Beams with SFRP Composites
AQ Khan, Q Hussain, W Rattanapitikon, A Pimanmas
APSEC-ACEC, 713-718, 2015
2015
Use of Sisal FRP for Flexural Strengthening of RC Beams
AQ Khan, Q Hussain, W Rattanapitikon, A Pimanmas
RCME, 2015
2015
Comparison of UBC-97 and IBC-2009 for Seismic Design of Buildings
AQ Khan
UET Lahore, Pakistan, 2012
2012
RC 床版疲労解析における輪荷重走行試験体と実橋との等価境界条件の研究
AQ KHAN
(No Title), 0
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مقالات 1–19