A Novel Fiber Element to Simulate Interactive Local and Lateral Torsional Buckling in Steel Moment Frames
All rights reserved.Structural collapse in steel frames under extreme hazards (earthquake, blast etc.) can often be attributed to loss of load carrying capacity of the individual members. Dominant failure modes in structural steel members include interactions between inelastic lateral torsional buckling, global buckling, and local buckling (referred to as Interactive Buckling). Accurate performance assessment of steel moment frames highly relies on the accuracy of the model-based simulations of such limit states. Commonly used concentrated hinge and fiber-based models fail to address the physics of this response leading to inaccurate performance assessment of structures. A nonlinear displacement-based fiber element [named Torsional Fiber Element (TFE)] to simulate monotonic and cyclic interactive buckling in steel members is proposed and implemented on OpenSees (an open-source finite element software). The element includes St. Venant as well as warping torsion response that are essential for lateral torsional buckling response in a wide-flange I-section, through enriched displacement fields and strain interpolation. Response of local buckling is represented in a quantitative manner using a novel multi-axial constitutive relationship with calibration of an effective softening behavior in the post-buckling response. Mesh dependency issue related to the softening material model is also discussed and addressed through a proposed non-local strain measure. The efficacy of the model is assessed through several continuum finite element simulations and experimental data.
2-s2.0-85192823921
College of Engineering
College of Engineering
École Polytechnique Fédérale de Lausanne
École Polytechnique Fédérale de Lausanne
École Polytechnique Fédérale de Lausanne
2024
REVIEWED
EPFL
| Event name | Event acronym | Event place | Event date |
San Antonio, United States | 2024-03-19 - 2024-03-22 | ||
| Funder | Funding(s) | Grant Number | Grant URL |
École Polytechnique Fédérale de Lausanne | |||
University of California, Davis | |||
U.S. National Science Foundation | CMMI-1926202 | ||
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