Perspective - (2025) Volume 15, Issue 2
Received: 03-Mar-2025, Manuscript No. jcde-25-168196 ;
Editor assigned: 05-Mar-2025, Pre QC No. P-168196 ;
Reviewed: 17-Mar-2025, QC No. Q-168196 ;
Revised: 24-Mar-2025, Manuscript No. R-168196 ;
Published:
31-Mar-2025
, DOI: 10.37421/2165-784X.2025.15.597
Citation: Angelis, Salvatore De. “Nonlinear Behavior Modeling in Space Frame Structural Systems.” J Civil Environ Eng 15 (2025): 597.
Copyright: © 2025 Angelis SD. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
Geometric nonlinearity, a core aspect of nonlinear space frame modeling, becomes prominent when structural displacements are large enough to alter the initial configuration of the system. This is particularly relevant in slender, long-span, or lightweight frames where second-order effects, such as P-ÃÂ?? effects, significantly influence structural response. Nonlinear geometric analysis takes into account the deformed shape of the structure when calculating internal forces, enabling more accurate assessments under extreme conditions. On the other hand, material nonlinearity considers the inelastic behavior of materials such as steel and reinforced concrete, especially when they approach or exceed yield limits. Concrete, in particular, displays nonlinear stress-strain characteristics under compression, especially when confined. The theoretical model developed by Mander, Priestley and Park provides a widely accepted framework for representing confined concrete behavior, allowing its integration into nonlinear finite element analysis of space frames. Such models help engineers capture post-yield behavior, strain hardening and failure, essential for realistic seismic performance evaluation.
Modern computational tools and finite element software have significantly advanced the implementation of nonlinear behavior modeling in space frame systems. Programs like ANSYS, Abaqus and OpenSees incorporate sophisticated solvers capable of handling both geometric and material nonlinearities simultaneously. These tools allow engineers to construct detailed models of three-dimensional space frames, define complex loading conditions and conduct time-history or incremental static (pushover) analyses. Furthermore, the integration of nonlinear analysis into design processes supports performance-based design, enabling structures to be evaluated not just for compliance but also for behavior under defined hazard scenarios. By predicting failure mechanisms and deformation capacities, engineers can refine design details, improve ductility and ensure energy dissipation capabilities during seismic events. This approach not only optimizes safety but also reduces unnecessary material use, contributing to sustainability goals in structural engineering [2].
Google Scholar Cross Ref Indexed at
Google Scholar Cross Ref Indexed at
Journal of Civil and Environmental Engineering received 1798 citations as per Google Scholar report