ANN-based swarm intelligence for predicting expansive soil swell pressure and compression strength.

Autor: Jalal FE; State Key Laboratory of Intelligent Geotechnics and Tunnelling, College of Civil and Transportation Engineering, Shenzhen University, Shenzhen, 518060, Guangdong, China. jalal@szu.edu.cn.; Key Laboratory of Coastal Urban Resilient Infrastructures (Shenzhen University), Ministry of Education, Shenzhen, China. jalal@szu.edu.cn., Iqbal M; Department of Civil Engineering, University of Engineering and Technology Peshawar, Peshawar, Pakistan. mudassiriqbal@uetpeshawar.edu.pk., Khan WA; Department of Civil Engineering, University of Louisiana at Lafayette, Lafayette, LA, 70503, USA., Jamal A; Department of Civil Engineering, College of Engineering, Qassim University, Buraydah, 51452, Saudi Arabia., Onyelowe K; Department of Civil Engineering, Kampala International University, Kampala, Uganda. kennedychibuzor@kiu.ac.ug., Lekhraj; Department of Computer Engineering and Applications, GLA University, Mathura, 281406, India.

Publikováno v: Scientific reports [Sci Rep] 2024 Jun 25; Vol. 14 (1), pp. 14597. Date of Electronic Publication: 2024 Jun 25.

Prediction of Axial Capacity of Concrete Filled Steel Tubes Using Gene Expression Programming.

Autor: Khan K; Department of Civil and Environmental Engineering, College of Engineering, King Faisal University, Al-Ahsa 31982, Saudi Arabia., Iqbal M; Department of Civil Engineering, University of Engineering and Technology Peshawar, Peshawar 25120, Pakistan., Raheel M; Department of Civil Engineering, University of Engineering and Technology Mardan, Mardan 23200, Pakistan., Amin MN; Department of Civil and Environmental Engineering, College of Engineering, King Faisal University, Al-Ahsa 31982, Saudi Arabia., Alabdullah AA; Department of Civil and Environmental Engineering, College of Engineering, King Faisal University, Al-Ahsa 31982, Saudi Arabia., Abu-Arab AM; Department of Civil and Environmental Engineering, College of Engineering, King Faisal University, Al-Ahsa 31982, Saudi Arabia., Jalal FE; Department of Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.

Publikováno v: Materials (Basel, Switzerland) [Materials (Basel)] 2022 Oct 07; Vol. 15 (19). Date of Electronic Publication: 2022 Oct 07.

Prediction Models for Evaluating Resilient Modulus of Stabilized Aggregate Bases in Wet and Dry Alternating Environments: ANN and GEP Approaches.

Autor: Khan K; Department of Civil and Environmental Engineering, College of Engineering, King Faisal University, Al-Ahsa 31982, Saudi Arabia., Jalal FE; Shanghai Key Laboratory for Digital Maintenance of Buildings and Infrastructure, State Key Laboratory of Ocean Engineering, School of Naval Architecture, Ocean & Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China., Khan MA; Department of Structural Engineering, Military College of Engineering (MCE), National University of Science and Technology (NUST), Islamabad 44000, Pakistan.; Department of Civil Engineering, CECOS University of IT and Emerging Sciences, Peshawar 25000, Pakistan., Salami BA; Interdisciplinary Research Center for Construction and Building Materials, Research Institute, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia., Amin MN; Department of Civil and Environmental Engineering, College of Engineering, King Faisal University, Al-Ahsa 31982, Saudi Arabia., Alabdullah AA; Department of Civil and Environmental Engineering, College of Engineering, King Faisal University, Al-Ahsa 31982, Saudi Arabia., Samiullah Q; Department of Civil Engineering, University of Engineering and Technology, Peshawar 25120, Pakistan., Arab AMA; Department of Civil and Environmental Engineering, College of Engineering, King Faisal University, Al-Ahsa 31982, Saudi Arabia., Faraz MI; Department of Mechanical Engineering, College of Engineering, King Faisal University, Al-Ahsa 31982, Saudi Arabia., Iqbal M; Shanghai Key Laboratory for Digital Maintenance of Buildings and Infrastructure, State Key Laboratory of Ocean Engineering, School of Naval Architecture, Ocean & Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.; Department of Civil Engineering, University of Engineering and Technology, Peshawar 25120, Pakistan.

Publikováno v: Materials (Basel, Switzerland) [Materials (Basel)] 2022 Jun 21; Vol. 15 (13). Date of Electronic Publication: 2022 Jun 21.

Multi Expression Programming Model for Strength Prediction of Fly-Ash-Treated Alkali-Contaminated Soils.

Autor: Khan K; Department of Civil and Environmental Engineering, College of Engineering, King Faisal University (KFU), Al-Ahsa 31982, Saudi Arabia., Ashfaq M; Department of Civil Engineering, National Institute of Technology Warangal, Warangal 506004, India.; Osaimi Geotechnic Company, Tabuk 31952, Saudi Arabia., Iqbal M; State Key Laboratory of Ocean Engineering, Shanghai Key Laboratory for Digital Maintenance of Buildings and Infrastructure, School of Naval Architecture, Ocean & Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.; Department of Civil Engineering, University of Engineering & Technology (UET), Peshawar 39161, Pakistan., Khan MA; Department of Structural Engineering, Military College of Engineering (MCE), National University of Science and Technology (NUST), Islamabad 44000, Pakistan.; Department of Civil Engineering, CECOS University of IT and Emerging Sciences, Peshawar 25000, Pakistan., Amin MN; Department of Civil and Environmental Engineering, College of Engineering, King Faisal University (KFU), Al-Ahsa 31982, Saudi Arabia., Shalabi FI; Department of Civil and Environmental Engineering, College of Engineering, King Faisal University (KFU), Al-Ahsa 31982, Saudi Arabia., Faraz MI; Department of Mechanical Engineering, College of Engineering, King Faisal University (KFU), Al-Ahsa 31982, Saudi Arabia., Jalal FE; State Key Laboratory of Ocean Engineering, Shanghai Key Laboratory for Digital Maintenance of Buildings and Infrastructure, School of Naval Architecture, Ocean & Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.

Publikováno v: Materials (Basel, Switzerland) [Materials (Basel)] 2022 Jun 06; Vol. 15 (11). Date of Electronic Publication: 2022 Jun 06.

An Investigation on the Behaviour of Geosynthetic Reinforced Quarry Waste Bases (QWB) Under Vertical loading.

Autor: Sheikh IR; Department of Civil Engineering, National Institute of Technology Srinagar, Srinagar, 190006, India. ishfaqrashid06@gmail.com., Wani KMNS; Department of Civil Engineering, National Institute of Technology Srinagar, Srinagar, 190006, India., Jalal FE; Department of Civil Engineering, Shanghai Jiao Tong University, Shanghai, 200240, People's Republic of China., Shah MY; Department of Civil Engineering, National Institute of Technology Srinagar, Srinagar, 190006, India.

Publikováno v: Environmental science and pollution research international [Environ Sci Pollut Res Int] 2022 Jun; Vol. 29 (28), pp. 43385-43400. Date of Electronic Publication: 2022 Jan 30.