Improving model predictions through partitioned analysis: A combined experimental and numerical analysis

Garrison Stevens, Sez Atamturktur, Joshua Hegenderfer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Numerical modeling of civil infrastructure often involves assumptions about boundary conditions between adjacent structural components. For steel frame structures, such connections tend to be semi-rigid and often exhibit nonlinear mechanical behavior, making it difficult to determine the rotational stiffness when the connection is evaluated in an isolated manner. This article adapts a partitioned analysis approach using the Block Gauss-Seidel coupling technique to account for the semi-rigid, nonlinear nature of connections in steel frame structures. A case study of a steel frame with bolted connections is presented in which a constituentmodel is developed for the steel frame with rotational springs to represent the connections. Next, high fidelity, three-dimensional constituent models are developed for three different connection types present in the frame. At the cut-off points of the connection models the internal forces and displacements, calculated by the frame model under a predefined external load, are transferred to the constituent connection models as boundary conditions. Subsequently with the connection models, the rotational stiffness is calculated and transferred back to the frame model through the Block Gauss-Seidel iterations. Coupling iterations are repeated until the connection stiffness calculated by two successive iterations converges, at which point load applied to the frame is increased to develop a full moment-rotation curve. Comparison of the coupled model predictions against experiments show that coupled treatment of the constituent frame and connection models significantly increase the predictive capability of the overall model.

Original languageEnglish (US)
Title of host publicationDynamic Behavior of Materials - Proceedings of the 2013 Annual Conference on Experimental and Applied Mechanics
PublisherSpringer New York LLC
Pages261-272
Number of pages12
ISBN (Print)9783319007700
DOIs
StatePublished - Jan 1 2014
Event32nd IMAC Conference and Exposition on Structural Dynamics, 2014 - Orlando, FL, United States
Duration: Feb 3 2014Feb 6 2014

Publication series

NameConference Proceedings of the Society for Experimental Mechanics Series
Volume1
ISSN (Print)2191-5644
ISSN (Electronic)2191-5652

Other

Other32nd IMAC Conference and Exposition on Structural Dynamics, 2014
CountryUnited States
CityOrlando, FL
Period2/3/142/6/14

All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Computational Mechanics
  • Mechanical Engineering

Fingerprint Dive into the research topics of 'Improving model predictions through partitioned analysis: A combined experimental and numerical analysis'. Together they form a unique fingerprint.

Cite this