A Force‐Based Beam‐Column Element With Selective Gradient‐Inelasticity for Softening Materials in 3‐Dimensional Nonlinear Analysis

ABSTRACT Fiber‐based beam‐column elements featuring an effective material constitutive law with softening can capture the degrading response of structural members under extreme loading. However, these elements exhibit strain localization and mesh divergence, which impedes their accuracy. To tackle these issues, this paper proposes a gradient‐inelastic formulation that selectively applies gradient averaging during softening, whereas the local formulation is only employed in the elastic and the post‐yield response regimes. It is shown that the developed element formulation, which extends the conventional force‐based beam‐column element, mitigates the mesh dependence in the presence of a material constitutive formulation with softening. The proposed formulation is suitable for both 2‐ and 3‐dimensional force‐based beam‐ column elements. Validation studies with physical experiments from steel columns featuring both wide flange and hollow square sections under multiaxial monotonic and cyclic loading histories demonstrate the ability of the proposed formulation in providing mesh‐convergent moment‐chord rotation and axial shortening‐chord rotation relations even when structural members exhibit softening. The efficacy of the proposed formulation is demonstrated through 3‐dimensional nonlinear response history analysis of a 4‐story steel frame building.

Authors

Institutions

Publication Details

Journal
Earthquake Engineering & Structural Dynamics
Published
2025-09-21
DOI
https://doi.org/10.1002/eqe.70065
Primary Topic
Numerical methods in engineering
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Force‐Based Beam‐Column Element With Selective Gradient‐Inelasticity for Softening Materials in 3‐Dimensional Nonlinear Analysis

Dimitrios G. Lignos, Amit M. Kanvinde, Arka Maity, Diego Isidoro Heredia Rosa et al.
Earthquake Engineering & Structural Dynamics
Numerical methods in engineering
article

A Force‐Based Beam‐Column Element With Selective Gradient‐Inelasticity for Softening Materials in 3‐Dimensional Nonlinear Analysis

Dimitrios G. Lignos, Amit M. Kanvinde, Arka Maity, Diego Isidoro Heredia Rosa, Albano de Castro e Sousa
article en

Abstract

ABSTRACT Fiber‐based beam‐column elements featuring an effective material constitutive law with softening can capture the degrading response of structural members under extreme loading. However, these elements exhibit strain localization and mesh divergence, which impedes their accuracy. To tackle these issues, this paper proposes a gradient‐inelastic formulation that selectively applies gradient averaging during softening, whereas the local formulation is only employed in the elastic and the post‐yield response regimes. It is shown that the developed element formulation, which extends the conventional force‐based beam‐column element, mitigates the mesh dependence in the presence of a material constitutive formulation with softening. The proposed formulation is suitable for both 2‐ and 3‐dimensional force‐based beam‐ column elements. Validation studies with physical experiments from steel columns featuring both wide flange and hollow square sections under multiaxial monotonic and cyclic loading histories demonstrate the ability of the proposed formulation in providing mesh‐convergent moment‐chord rotation and axial shortening‐chord rotation relations even when structural members exhibit softening. The efficacy of the proposed formulation is demonstrated through 3‐dimensional nonlinear response history analysis of a 4‐story steel frame building.

Earthquake Engineering & Structural DynamicsVol. 55(1)
Lehigh University (US), École Polytechnique Fédérale de Lausanne (CH), University of California, Davis (US)
National Science Foundation, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Division of Civil, Mechanical and Manufacturing Innovation
Openalex Percentile: Top 71%
Numerical methods in engineering
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.