The design equations for pipelines subjected to both internal pressure and longitudinal loading are based on the isotropic hardening plasticity model. However, high strength steel (HSS) pipelines exhibit plastic anisotropy, which cannot be incorporated in the traditional isotropic hardening plasticity model. The stress strain behaviors of HSS in the longitudinal and the circumferential directions are different. Thus, it would not be desirable to adopt the same design equations based on the isotropic hardening plasticity model for HSS pipelines. The design equations of HSS steel pipelines have to be developed by solving numerical models incorporating a suitable material plasticity constitutive model for the HSS that can deal with the exhibited plastic anisotropy. In this paper, various plasticity models are studied and an appropriate plasticity model is adopted and calibrated to model the plastic anisotropy exhibited by the HSS.
Skip Nav Destination
Article navigation
September 2012
Research Papers
Modeling the Deformation Response of High Strength Steel Pipelines—Part I: Material Characterization to Model the Plastic Anisotropy
Sunil Neupane,
Sunil Neupane
Civil and Environmental Engineering,
University of Alberta
, Edmonton, Alberta T6G 2W2, Canada
Search for other works by this author on:
Samer Adeeb,
Samer Adeeb
Civil and Environmental Engineering,
University of Alberta
, Edmonton, Alberta T6G 2W2, Canada
Search for other works by this author on:
Roger Cheng,
Roger Cheng
Civil and Environmental Engineering,
University of Alberta
, Edmonton, Alberta T6G 2W2, Canada
Search for other works by this author on:
James Ferguson,
James Ferguson
TransCanada Pipelines Ltd., Calgary, Alberta T2P 5H1,
Canada
Search for other works by this author on:
Michael Martens
Michael Martens
TransCanada Pipelines Ltd., Calgary, Alberta T2P 5H1,
Canada
Search for other works by this author on:
Sunil Neupane
Civil and Environmental Engineering,
University of Alberta
, Edmonton, Alberta T6G 2W2, Canada
Samer Adeeb
Civil and Environmental Engineering,
University of Alberta
, Edmonton, Alberta T6G 2W2, Canada
Roger Cheng
Civil and Environmental Engineering,
University of Alberta
, Edmonton, Alberta T6G 2W2, Canada
James Ferguson
TransCanada Pipelines Ltd., Calgary, Alberta T2P 5H1,
Canada
Michael Martens
TransCanada Pipelines Ltd., Calgary, Alberta T2P 5H1,
Canada
J. Appl. Mech. Sep 2012, 79(5): 051002 (9 pages)
Published Online: June 21, 2012
Article history
Received:
April 11, 2011
Revised:
January 17, 2012
Posted:
March 15, 2012
Published:
June 21, 2012
Online:
June 21, 2012
Citation
Neupane, S., Adeeb, S., Cheng, R., Ferguson, J., and Martens, M. (June 21, 2012). "Modeling the Deformation Response of High Strength Steel Pipelines—Part I: Material Characterization to Model the Plastic Anisotropy." ASME. J. Appl. Mech. September 2012; 79(5): 051002. https://doi.org/10.1115/1.4006380
Download citation file:
Get Email Alerts
Why biological cells can't stay spherical?
J. Appl. Mech
Interplay Between Nucleation and Kinetics in Dynamic Twinning
J. Appl. Mech (December 2024)
Elastic Localization With Particular Reference to Tape-Springs
J. Appl. Mech (December 2024)
Related Articles
Models for Cyclic Ratchetting Plasticity—Integration and Calibration
J. Eng. Mater. Technol (January,2000)
Comparison Between Two Experimental Procedures for Cyclic Plastic Characterization of High Strength Steel Sheets
J. Eng. Mater. Technol (October,2012)
Modeling the Deformation Response of High Strength Steel Pipelines—Part II: Effects of Material Characterization on the Deformation Response of Pipes
J. Appl. Mech (September,2012)
Modeling the Rotation of Orthotropic Axes of Sheet Metals Subjected to Off-Axis Uniaxial Tension
J. Appl. Mech (July,2004)
Related Proceedings Papers
Related Chapters
Modeling Hydrogen-Induced Fracture and Crack Propagation in High Strength Steels
International Hydrogen Conference (IHC 2016): Materials Performance in Hydrogen Environments
Microstructure Evolution and Physics-Based Modeling
Ultrasonic Welding of Lithium-Ion Batteries
Estimating Resilient Modulus Using Neural Network Models
Intelligent Engineering Systems Through Artificial Neural Networks, Volume 17