Optimum model for bearing capacity of concrete-steel columns with AI technology via incorporating the algorithms of IWO and ABC-Reference-Cited by-同舟云学术

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Optimum model for bearing capacity of concrete-steel columns with AI technology via incorporating the algorithms of IWO and ABC

Published:2019-09-09 Issue:2 Volume:37 Page:797-807
ISSN:0177-0667
Container-title:Engineering with Computers
language:en
Short-container-title:Engineering with Computers

Author:

Sarir Payam,Shen Shui-Long,Wang Zhi-Feng,Chen Jun,Horpibulsuk Suksun,Pham Binh Thai

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,General Engineering,Modelling and Simulation,Software

Link

http://link.springer.com/content/pdf/10.1007/s00366-019-00855-5.pdf

Reference76 articles.

1. Tan Y, Lu Y, Xu C, Wang D (2018) Investigation on performance of a large circular pit-in-pit excavation in clay-gravel-cobble mixed strata. Tunn Undergr Sp Technol 79:356–374

2. Tan Y, Wei B, Lu Y, Yang B (2019) Is basal reinforcement essential for long and narrow subway excavation bottoming out in shanghai soft clay? J Geotech Geoenviron Eng 145:5019002

3. Wu Y-X, Shen JS, Cheng W-C, Hino T (2017) Semi-analytical solution to pumping test data with barrier, wellbore storage, and partial penetration effects. Eng Geol 226:44–51

4. Wu Y-X, Lyu H-M, Han J, Shen S-L (2019) Dewatering-induced building settlement around a deep excavation in soft deposit in Tianjin, China. J Geotech Geoenviron Eng 145:5019003

5. Lai MH, Ho JCM (2015) Effect of continuous spirals on uni-axial strength and ductility of CFST columns. J Constr Steel Res 104:235–249

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