Arslan Qayyum Khan

Arslan Qayyum Khan

Hokkaido University - Sapporo / Japan
Engineering & Technology / Computer Science
AD Scientific Index ID: 4865606
北海道大学
person_outline Arslan Qayyum Khan's MOST POPULAR ARTICLES
1-) Optimized artificial neural network model for accurate prediction of compressive strength of normal and high strength concreteAQ Khan, HA Awan, M Rasul, ZA Siddiqi, A PimanmasCleaner Materials 10, 100211, 2023112023
2-) Prediction of Compressive Strength of Fly Ash-Based Geopolymer Concrete Using Supervised Machine Learning MethodsAQ Khan, MH Naveed, MD Rasheed, P MiaoArabian Journal for Science and Engineering, 1-16, 2023102023
3-) Flexural strengthening of RC beams using sisal fibre reinforced polymer (SFRP) composite with anchorage systemsAQ Khan, A Pimanmas, P ChindaprasirtResults in Engineering 18, 101116, 2023102023
4-) Flexural Strengthening of RC Beams with Sisal Fiber Composites and Sisal Fiber RodsAQ Khan, Q Hussain, W Rattanapitikon, A PimanmasMaterials Science Forum 860, 144-147, 201662016
5-) Approximate analytical conditions of a panel RC slab for reproducing the fatigue behaviors of a real bridge RC slabAQ Khan, P Deng, T MatsumotoJournal of Advanced Concrete Technology 18 (1), 1-16, 202042020