Title of article :
Evaluation of nonlinear static analysis methods and software tools for seismic analysis of highway bridges
Author/Authors :
Shattarat، نويسنده , , Nasim K. and Symans، نويسنده , , Michael D. and McLean، نويسنده , , David I. and Cofer، نويسنده , , William F.، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2008
Pages :
11
From page :
1335
To page :
1345
Abstract :
The response of bridges when subjected to seismic excitation can be evaluated by a number of analysis methods. The traditional approach is to employ linear static or dynamic analyses coupled with appropriate modifiers to account for inelastic response while current design practice is moving towards an increased emphasis on nonlinear static analysis methods. In this study, a preliminary seismic response analysis of a two-span highway bridge was performed using linear dynamic analysis procedures to identify the potential for inelastic response. The bridge was subsequently analyzed in accordance with two nonlinear static analysis methods (capacity spectrum and inelastic demand spectrum methods) in an effort to evaluate the difference in global response predicted by the two methods and the effectiveness of various software programs for performing nonlinear static analysis. The results demonstrated that, for the two nonlinear static analysis methods used in this study, different predictions of nonlinear response occurred with neither method being regarded as producing correct results due to a number of simplifications inherent in the methods. Furthermore, the analysis revealed that some software programs are well suited to performing nonlinear static analysis, both from the point-of-view of performing comprehensive analyses and providing a graphical depiction of the evolution of damage (i.e. the behaviour of plastic hinges).
Keywords :
Seismic Analysis , bridges , earthquake engineering , Nonlinear analysis , Pushover analysis
Journal title :
Engineering Structures
Serial Year :
2008
Journal title :
Engineering Structures
Record number :
1642938
Link To Document :
بازگشت