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Challenges in Determining Nonlinear Modeling Parameters of FRP-Retrofitted Shear Walls



Jazalyn Dukes, Siamak Sattar


Fiber reinforced polymer (FRP) has become more prevalent and accepted as a construction material, and particularly as a retrofit technique. However, there remains a need for design guides and standards for FRP-retrofitted components and structures, including nonlinear modeling parameters that guide the design and analysis of components in PBSD codes such as ASCE 41 and ACI 369. As part of ongoing research of developing modeling parameters for FRP-retrofitted shear walls, the authors needed to identify FRP material properties that influence component nonlinear response. However, the reporting of FRP material properties has not been consistent in prior experimental programs. For example, a report describing an experiment of an FRP-retrofitted component would include either fiber material properties or composite material properties, but not both. Two options were explored to address the in consistency in FRP material property reporting: using only data with composite properties or converting fiber properties with a rule-of-mixtures approximation. The results of a regression analysis show that the regression model with the composite-only data performed better than the model with converted properties. These results will inform the development of modeling parameters of FRP-retrofitted walls and inform the need to establish better data collection processes for FRP material properties.
Proceedings Title
Proceedings of 12th National Conference on Earthquake Engineering
Conference Dates
June 27-July 1, 2022
Conference Location
Salt Lake City, UT, US
Conference Title
12th National Conference on Earthquake Engineering


fiber reinforced polymer, retrofit, resilience, modeling parameters, composites


Dukes, J. and Sattar, S. (2022), Challenges in Determining Nonlinear Modeling Parameters of FRP-Retrofitted Shear Walls, Proceedings of 12th National Conference on Earthquake Engineering, Salt Lake City, UT, US, [online], (Accessed June 25, 2024)


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Created September 20, 2022, Updated January 18, 2023