Fracture of X100 Pipeline Steel: Combined Experimental-Numerical Process

Published

August 26, 2011

Author(s)

Mordechai Szanto, Christopher N. McCowan, Elizabeth S. Drexler, Joseph D. McColskey

Abstract

Accurate characterization of material fracture properties is necessary for reliable numerical prediction of rupture in gas pipelines. In the current work the ductile fracture properties for high strength X100 pipeline steel, was evaluated, using experimental data from single type of experiment. The material characterization was based on a combination of experiment results with numerical simulation for a modified double cantilever beam (MDCB) specimens. The material properties were obtained by parametrical adjustments of the numerical results to the experimental measurements at points along the propagation length of a fracture in the specimen. The values of the equivalent plastic strain, and the stress triaxiality (ratio of the pressure stress to the equivalent stress) were computed at the crack tip, for the different crack lengths. The fracture properties were evaluated parametrically through an adjustment between the experimental and the computational load-displacement curves. Damage fracture initiation, as the function of the stress triaxiality and plastic strain rate, at quasi static testing rates, and at cross head velocities of 300 m/s were considered. The numerical computations were performed using a commercial finite element code - ABAQUS.

Proceedings Title

International Conference on Computational Modeling of Fracture and Failure of Materials and Structures (CFRAC 2011), ,

Conference Dates

June 6-8, 2011

Conference Location

Barcelona, ES

Pub Type

Conferences

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Keywords

ABAQUS, Fracture, Model, Pipeline steel, X100

Citation

Szanto, M. , McCowan, C. , Drexler, E. and McColskey, J. (2011), Fracture of X100 Pipeline Steel: Combined Experimental-Numerical Process, International Conference on Computational Modeling of Fracture and Failure of Materials and Structures (CFRAC 2011), , , Barcelona, ES, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=907848 (Accessed November 9, 2024)