Nonlinear inelastic analysis of space frames

https://doi.org/10.1016/j.jcsr.2010.12.003Get rights and content

Abstract

In this paper, a fiber beam–column element which considers both geometric and material nonlinearities is presented. The geometric nonlinearities are captured using stability functions obtained from the exact stability solution of a beam–column subjected to axial force and bending moments. The material nonlinearities are included by tracing the uniaxial stress–strain relationship of each fiber on the cross sections. The nonlinear equilibrium equations are solved using an incremental iterative scheme based on the generalized displacement control method. Using only one element per member in structure modeling, the nonlinear responses predicted by the proposed element compare well with those given by commercial finite element packages and other available results. Numerical examples are presented to verify the accuracy and efficiency of the proposed element.

Research highlights

► A fiber element is proposed for the nonlinear inelastic analysis of space frames. ► A computer program is developed for the nonlinear analysis of frames. ► The proposed program is proved to be an efficient tool for the frame analysis.

Introduction

In the past few decades, there have been numerous studies to improve the accuracy of the beam–column element for the nonlinear analysis of steel frames. In general, the nonlinear response of steel frames can be predicted by using either the finite element method or the beam–column approach. The finite element approach is often based on a stiffness or displacement formulation in which cubic and linear interpolation functions are used for the transverse and axial displacements, respectively 1., 2., 3., 4., 5.. Since this method is based commonly on an assumed cubic polynomial variation of transverse displacement along the element length, it is unable to capture accurately the effect of axial force acting through the lateral displacement of the element (Pδ effect) when one element per member is used [6]. Hence, it overestimates the strength of a member under significant axial force. Although the accuracy of this method can be improved by using several elements per member in the modeling, it is generally recognized to be computationally intensive because of a very refined discretisation of the structures. The beam–column approach is based on the stability functions which are derived from the exact stability function of a beam–column subjected to axial force and bending moments 7., 8., 9., 10., 11., 12.. This approach can capture accurately the Pδ effect of a beam–column member by using only one or two elements per member in the modeling, hence, to save computational time.

In parallel with the above developments, different beam–column models have been proposed to represent inelastic material behavior. These models can be grouped into two categories: lumped plasticity 9., 10., 13. model and distributed plasticity model 5., 14., 15., 16., 17., 18.. In the lumped plasticity model, the inelastic behavior of material is assumed to be concentrated at point hinges that are usually located at the ends of the member. The force–deformation relation at these hinges is based on force resultants. The advantage of this model is that it is simple in formulation as well as implementation. However, the disadvantage of this model is that the force–deformation relation at the hinges is not always available and accurate for every section. In the distributed plasticity model, the inelastic behavior of material is distributed along the member length since the element behavior is monitored through numerical integration of constitutive behavior at a finite number of control sections. The nonlinear constitutive behavior at these sections is derived using one of the following methods: (1) moment–curvature relations; (2) force and deformation resultants; and (3) uniaxial stress–strain relations of fibers on the cross sections. Although fiber model is the most computationally intensive among others, it represents the inelastic behavior of material more accurately and rationally than concentrated plasticity model.

This paper proposes a fiber beam–column element for the nonlinear inelastic analysis of space steel frames. The spread of plasticity over the cross section and along the member length is captured by tracing the uniaxial stress–strain relations of each fiber on the cross sections located at the selected integration points along the member length. The Gauss–Lobatto integration rule is adopted herein for evaluating numerically element stiffness matrix instead of the classical Gauss integration rule because it always includes the end sections of the integration field. Since inelastic behavior in beam elements often concentrates at the ends of the member, monitoring the end sections of the element results in improved accuracy and numerical stability [19]. Although the fiber model is included in DRAIN-3DX [20] and OpenSees [21] programs to represent the material nonlinearity, the geometric nonlinearity caused by the interaction between the axial force and bending moments (Pδ effect) was not considered. Therefore, these methods overestimate the strength of a member subjected to significant axial force if only one or few elements per member are used in the modeling. In this research, the stability functions obtained from the closed-form solution of a beam–column subjected to end forces are used to accurately capture the Pδ effect. Numerical examples are presented to verify the accuracy and efficiency of the proposed element in predicting nonlinear inelastic response of space steel frames.

Section snippets

Geometric nonlinear Pδ effect

To capture the effect of axial force acting through the lateral displacement of the beam–column element (Pδ effect), the stability functions reported by Chen and Lui [22] are used to minimize modeling and solution time. Generally only one element per member is needed to accurately capture the Pδ effect. From Kim et al. [10], the incremental force–displacement equation of space beam–column element which accounts for transverse shear deformation effects can be expressed as {ΔPΔMyAΔMyBΔMzAΔMzBΔT}

Nonlinear solution procedure

This section presents a numerical method for solving the nonlinear equations. Among several numerical methods, the GDC method proposed by Yang and Shieh [25] appears to be one of the most robust and effective methods for solving the nonlinear problems with multiple critical points because of its general numerical stability and efficiency. The incremental form of equilibrium equation can be rewritten for the jth iteration of the ith incremental step as [Kj1i]{ΔDji}=λji{Pˆ}+{Rj1i} where [Kj1i]

Numerical examples

A computer program is developed based on the above-mentioned formulations to predict the strength and behavior of framed structures. It is verified for accuracy and efficiency by comparing the predictions with those generated by commercial finite element packages and other available results through four numerical examples. The first example is to show how the proposed element captures geometric nonlinearity effects accurately and efficiently. The remains are to verify how well the proposed

Conclusions

A fiber beam–column element was successfully developed for the nonlinear inelastic analysis of framed structures. The stability functions derived from the exact stability solution of a beam–column subjected to axial force and bending moments are used to capture the second-order effects. The fiber model based on tracing the uniaxial stress–strain relations of each fiber on the cross sections is employed to capture the inelastic effects. The computer program developed for this work is verified

Acknowledgement

This work was supported by the Human Resources Development of the Korea Institute of Energy Technology Evaluation and Planning (KETEP) grant funded by the Korea government Ministry of Knowledge Economy (No. 20104010100520).

References (28)

  • J. Del Coz Diaz et al.

    Non-linear analysis of the tubular ‘heart’ joint by FEM and experimental validation

    Journal of Constructional Steel Research

    (2007)
  • J. Del Coz Diaz et al.

    Non-linear analysis of unbolted base plates by the FEM and experimental validation

    Thin-Walled Structures

    (2006)
  • E. Spacone et al.

    Mixed formulation of nonlinear beam finite element

    Computers and Structures

    (1996)
  • C.G. Chiorean et al.

    Large deflection distributed plasticity analysis of 3D steel frameworks

    Computers & Structures

    (2005)
  • Cited by (29)

    • An advanced beam-column element for analysis of frames in fires

      2023, International Journal of Mechanical Sciences
    • Geometric and material nonlinear analysis of steel members with nonsymmetric sections

      2022, Journal of Constructional Steel Research
      Citation Excerpt :

      This paper created a line-element model in Mastan2 v6 [32], where the beam is modelled with eight elements. The load-displacement curves generated by the present study, the conventional approach (using the yield surface given by McGuire et al. [19]), and Thai and Kim [7] are plotted in Fig. 22. The results given by the sophisticated finite element model built by Thai and Kim [7] are regarded as the benchmark.

    • System reliability-based design of steel-concrete composite frames with CFST columns and composite beams

      2022, Journal of Constructional Steel Research
      Citation Excerpt :

      For example, as mentioned in the study by Ziemian et al. [17], the design by advanced analysis can save around 12% of steel weight in comparison to traditional LRFD design. Due to those advantages, a variety of studies have focused on the nonlinear analysis for the system design and system reliability of structures [16,18–22] in which significant efforts have been made to develop the nonlinear inelastic simulation for the whole system such as composite buildings with CFST columns and innovative coupling composite shear walls [7]. However, the system resistance factor, especially the one for steel-concrete composite structures, is still lacking information.

    View all citing articles on Scopus
    View full text