Multi-Linear and Bi-Linear Stress–Strain Approximations for Finite Element Modelling of Extended End-Plate Moment Connections

This study investigates the finite element analysis (FEA) of beam-to-column bolted extended end-plate moment connections, with a focus on accurately reproducing plastic rotational stiffness. Existing FEA results for six experimentally tested connections from the literature show substantial discrepancies in the plastic range, despite acceptable elastic stiffness. These discrepancies are traced to conventional material modelling practices, where only yield and ultimate stresses are specified, engineering stress–strain data are used directly, and the minimum elongation is taken as the strain at ultimate stress. To address these limitations, the connections are re-modelled in ABAQUS using (i) a multi-linear approximation for the plastic stress–strain behaviour of mild steel plates, and (ii) a proposed bi-linear approximation that requires only measured yield and ultimate strengths but preserves the area under the reference curve. In both cases, true stress–strain values are supplied to the software for plastic analysis. These strategies reduce the average error in plastic rotational stiffness from 46–48% in the existing FEA to about 18% across all specimens, while maintaining good agreement in the elastic range. The results demonstrate that carefully constructed stress–strain approximations, combined with appropriate data formatting in ABAQUS, enable reliable validation of extended end-plate moment connection models and provide a practical basis for future parametric and design studies.

Authors

Institutions

Publication Details

Journal
Buildings
Published
2026-01-05
DOI
https://doi.org/10.3390/buildings16010236
Primary Topic
Structural Load-Bearing Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multi-Linear and Bi-Linear Stress–Strain Approximations for Finite Element Modelling of Extended End-Plate Moment Connections

Mohammad Reza Tavassoli, Saeed Agha Banihashemi, Iman Rahchamandi, Reza Esmaeilabadi
Buildings
Structural Load-Bearing Analysis
article

Multi-Linear and Bi-Linear Stress–Strain Approximations for Finite Element Modelling of Extended End-Plate Moment Connections

Mohammad Reza Tavassoli, Saeed Agha Banihashemi, Iman Rahchamandi, Reza Esmaeilabadi
article en

Abstract

This study investigates the finite element analysis (FEA) of beam-to-column bolted extended end-plate moment connections, with a focus on accurately reproducing plastic rotational stiffness. Existing FEA results for six experimentally tested connections from the literature show substantial discrepancies in the plastic range, despite acceptable elastic stiffness. These discrepancies are traced to conventional material modelling practices, where only yield and ultimate stresses are specified, engineering stress–strain data are used directly, and the minimum elongation is taken as the strain at ultimate stress. To address these limitations, the connections are re-modelled in ABAQUS using (i) a multi-linear approximation for the plastic stress–strain behaviour of mild steel plates, and (ii) a proposed bi-linear approximation that requires only measured yield and ultimate strengths but preserves the area under the reference curve. In both cases, true stress–strain values are supplied to the software for plastic analysis. These strategies reduce the average error in plastic rotational stiffness from 46–48% in the existing FEA to about 18% across all specimens, while maintaining good agreement in the elastic range. The results demonstrate that carefully constructed stress–strain approximations, combined with appropriate data formatting in ABAQUS, enable reliable validation of extended end-plate moment connection models and provide a practical basis for future parametric and design studies.

BuildingsVol. 16(1)
University of Technology Sydney (AU), Islamic Azad University Roudehen Branch (IR)
Openalex Percentile: Top 97%
Structural Load-Bearing Analysis
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.