Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/27175
Title: A posteriori performance-based comparison of three new path-following constraints for damage analysis of quasi-brittle materials
Authors: FAYEZIOGHANI, Amir 
VANDOREN, Bram 
Sluys, L.J.
Issue Date: 2019
Source: Computer methods in applied mechanics and engineering, 346, p. 746-768.
Abstract: Using a path-following algorithm to analyze a quasi-static nonlinear structural problem involves selecting an appropriate constraint function. This function should improve the desired performance targets of the path-following algorithm such as robustness, speed, accuracy, and smoothness. In order to be able to draw a fair objective selection of a constraint function, it is necessary to collect adequate constraint equations as well as to define the performance of nonlinear methods. In this paper, three new path-following constraints applicable for damage analysis of quasi-brittle materials are proposed. Additionally, performance criteria and their numerical measures for a posteriori assessment of robustness, smoothness, accuracy, and speed of solving nonlinear problems by a path-following method are proposed. Based on the proposed criteria, the performance of the three new constraints and two existing ones is compared for two example problems. As a result, the performance measures are shown to possess an ability to clearly explore the strengths of each constraint. They establish a firm basis for the assessment of not only path-following methods but also other methods for solving nonlinear structural problems.
Notes: Vandoren, B (reprint author), Hasselt Univ, Fac Engn Technol, Hasselt, Belgium. bram.vandoren@uhasselt.be
Keywords: Performance criterion;Path-following method;Quasi-brittle materials;Snap-back
Document URI: http://hdl.handle.net/1942/27175
ISSN: 0045-7825
e-ISSN: 1879-2138
DOI: 10.1016/j.cma.2018.09.014
ISI #: 000456713400033
Rights: 2018 Elsevier B.V. All rights reserved.
Category: A1
Type: Journal Contribution
Validations: ecoom 2020
Appears in Collections:Research publications

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