Nonlinear Response Sensitivity Analysis of Typical Highway Bridges

Sensitivity analysis has become an important tool to quantify simulated structural response variability that arises from uncertain model properties and modeling assumptions. Sensitivity with respect to column, superstructure, and abutment modeling parameters was computed for two ordinary standard reinforced concrete bridges considering nonlinear static and dynamic analysis in SAP2000 and OpenSees. The sensitivity computations used finite differences for all model responses as well as a new hybrid approach that uses direct differentiation of the element and structural response and local finite differences for the material response. In addition to model properties, dynamic response sensitivity was obtained by changing the hysteretic unloading/reloading rule for the steel and concrete constitutive models used in the columns. The sensitivity analyses indicate that even though the nominal static and dynamic responses can be matched between two software packages, the responses remain highly sensitive to the hysteretic model assumptions and to variations in material properties.

• Record URL:
  • https://doi.org/10.1061/JBENF2.BEENG-6109
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/32947845
• Supplemental Notes:
  • © 2023 American Society of Civil Engineers.
• Authors:
  • Rodriguez, Andres F
  • Mackie, Kevin R
  • Scott, Michael H
• Publication Date: 2023-7

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: 04023043
• Serial:
  • Journal of Bridge Engineering
  • Volume: 28
  • Issue Number: 7
  • Publisher: American Society of Civil Engineers
  • ISSN: 1084-0702
  • Serial URL: http://ojps.aip.org/beo

Subject/Index Terms

• TRT Terms: Bearing capacity; Bridge design; Computer models; Dynamic structural analysis; Hysteresis; Reinforced concrete bridges
• Subject Areas: Bridges and other structures; Design; Highways;

Filing Info

• Accession Number: 01885481
• Record Type: Publication
• Files: TRIS, ASCE
• Created Date: Jun 21 2023 5:10PM