Abstract

Tensile test data for structural steels are ubiquitous. However, the information monotonic loading provides with respect to the material’s characteristics is limited. Notably, features of inelastic response to cyclic loading, such as the Bauschinger effect, cannot be determined without testing with a load reversal protocol. This study aimed at addressing this shortcoming by formulating a constrained optimization problem that provided best-fit material parameters to a tensile test while simultaneously imposing representative cyclic properties for structural steels. Recommendations on constraints were given. Results demonstrated that improvements can be achieved when compared to: (1) direct fits to tensile data and (2) input model parameters from the same steel material but from different batches calibrated to a wide range of strain-based protocols. Given the available data, it is concluded that simpler models with one backstress tend to perform best with the proposed constraints.

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Data Availability Statement

Some or all data, models, or code generated or used during the study are available in a repository or online in accordance with funder data retention policies (de Castro e Sousa et al. 2019).

Acknowledgments

The authors recognize and are grateful for the financial support of this study by the Nippon Steel Corporation and internal grants from école Polytechnique Fédérale de Lausanne (EPFL), as well as an exploratory grant from EPFL’s School of Environmental, Architectural and Civil Engineering and the Swiss National Science Foundation (Project No. 200021_188476). Any opinions, findings, and conclusions or recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of sponsors.

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Go to Journal of Engineering Mechanics
Journal of Engineering Mechanics
Volume 147Issue 7July 2021

History

Received: Aug 13, 2020
Accepted: Dec 22, 2020
Published online: Apr 28, 2021
Published in print: Jul 1, 2021
Discussion open until: Sep 28, 2021

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Albano de Castro e Sousa, Ph.D. [email protected]
Postdoctoral Researcher, École Polytechnique Fédérale de Lausanne, Ecole Polytechnique Federale de Lausanne, School of Environmental, Architectural and Civil Engineering, Civil Engineering Institute, Resilient Steel Structures Laboratory, GC B3 465, Station 18, 1015 Lausanne, Switzerland. Email: [email protected]
Doctoral Assistant, École Polytechnique Fédérale de Lausanne, Ecole Polytechnique Federale de Lausanne, School of Environmental, Architectural and Civil Engineering, Civil Engineering Institute, Resilient Steel Structures Laboratory, GC B3 514, Station 18, 1015 Lausanne, Switzerland. ORCID: https://orcid.org/0000-0003-3120-1748. Email: [email protected]
Associate Professor, École Polytechnique Fédérale de Lausanne, Ecole Polytechnique Federale de Lausanne, School of Environmental, Architectural and Civil Engineering, Civil Engineering Institute, Resilient Steel Structures Laboratory, GC B3 485, Station 18, 1015 Lausanne, Switzerland (corresponding author). ORCID: https://orcid.org/0000-0003-0682-4660. Email: [email protected]

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  • Warping-Inclusive Kinematic Coupling in Mixed-Dimension Macro Models for Steel Wide Flange Beam Columns, Journal of Structural Engineering, 10.1061/(ASCE)ST.1943-541X.0003211, 148, 2, (2022).

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