TY - JOUR

T1 - Estimation of the mechanical behavior of CFRP-to-steel bonded joints with quantification of uncertainty

AU - Li, Lingzhen

AU - Pichler, Niels

AU - Chatzi, Eleni

AU - Ghafoori, Elyas

N1 - Funding information: The first author wishes to thank the financial support of China Scholarship Council (CSC) to his PhD study.

PY - 2022/9

Y1 - 2022/9

N2 - The strengthening and repair of existing infrastructures, a large portion of which is comprised of steel structures, is essential for sustainable material use and energy resource management. Bonded strengthening using Carbon Fiber Reinforced Polymers (CFRPs) offers great potential toward a sustainable infrastructure management. In establishing CFRP retrofitting as a reliable solution for steel strengthening, a solid understanding of the mechanical behavior of the CFRP-to-steel bonded joints is essential. Given the variability in the evidence attained by experiments, in this study, we tackle this challenge from an uncertainty quantification perspective by proposing a model based on Polynomial Chaos Expansion (PCE) to predict the load capacity of the bonded joints. A stochastic bond–slip model, featuring a parsimonious representation with one deterministic coefficient and one probabilistic coefficient, is further proposed. A Monte-Carlo (MC) simulation is used to demonstrate the efficacy of the bond–slip model in predicting the mechanical behavior such as load–displacement behavior, shear stress profile, and effective bond length of strengthened specimens. Results are compared with existing deterministic models.

AB - The strengthening and repair of existing infrastructures, a large portion of which is comprised of steel structures, is essential for sustainable material use and energy resource management. Bonded strengthening using Carbon Fiber Reinforced Polymers (CFRPs) offers great potential toward a sustainable infrastructure management. In establishing CFRP retrofitting as a reliable solution for steel strengthening, a solid understanding of the mechanical behavior of the CFRP-to-steel bonded joints is essential. Given the variability in the evidence attained by experiments, in this study, we tackle this challenge from an uncertainty quantification perspective by proposing a model based on Polynomial Chaos Expansion (PCE) to predict the load capacity of the bonded joints. A stochastic bond–slip model, featuring a parsimonious representation with one deterministic coefficient and one probabilistic coefficient, is further proposed. A Monte-Carlo (MC) simulation is used to demonstrate the efficacy of the bond–slip model in predicting the mechanical behavior such as load–displacement behavior, shear stress profile, and effective bond length of strengthened specimens. Results are compared with existing deterministic models.

KW - Bond capacity

KW - Bond–slip model

KW - Carbon fiber reinforced polymer (CFRP)

KW - Data-driven analysis

KW - Effective bond length

KW - Monte–Carlo (MC) simulation

KW - Polynomial chaos expansion (PCE)

UR - http://www.scopus.com/inward/record.url?scp=85133256248&partnerID=8YFLogxK

U2 - 10.1016/j.engstruct.2022.114573

DO - 10.1016/j.engstruct.2022.114573

M3 - Article

VL - 266

JO - Engineering structures

JF - Engineering structures

SN - 0141-0296

M1 - 114573

ER -