TY - JOUR
T1 - A new bond-slip model for NSM FRP systems using cement-based adhesives through artificial neural networks (ANN)
AU - Akbarpoor, Sareh
AU - Rezazadeh, Mohammadali
AU - Ghiassi, Bahman
AU - Khayatian, Fazel
AU - Poologanathan, Keerthan
AU - Ramezan Sefat, Honeyeh
AU - Corradi, Marco
N1 - Funding Information:
The first author acknowledges the grant provided by the Research Development Fund of Northumbria University with a reference number of RDF21/EE/MCE/REZAZADEHMohammadali. The second author would like to express appreciation for the support provided by the Royal Society research grant with Reference Number RG\\R2\\232002. The authors would also like to acknowledge the support provided by SIKA company for supporting this research project.
Funding Information:
The first author acknowledges the grant provided by the Research Development Fund of Northumbria University with a reference number of RDF21/EE/MCE/REZAZADEHMohammadali. The second author would like to express appreciation for the support provided by the Royal Society research grant with Reference Number RG\\R2\\232002.
Publisher Copyright:
© 2024 The Authors
PY - 2024/5/10
Y1 - 2024/5/10
N2 - This paper introduced a novel Artificial Neural Networks (ANN)-based bond–slip model for the Near-surface mounted (NSM) FRP system using cement-based adhesives, as an alternative to epoxy adhesives due to their high-temperature resistance and moisture-durability problems, employing experimental data. Therefore, closed-form formulas were presented for key components of the bond-slip law, including maximum bond stress, corresponding slip, fracture energy, and post-peak branch, while taking important factors into account. Compared to available bond-slip laws, this innovative model demonstrates promising potential in predicting the bond behaviour, thereby enabling more efficient and reliable designs for the NSM FRP strengthening applications using cement-based adhesives.
AB - This paper introduced a novel Artificial Neural Networks (ANN)-based bond–slip model for the Near-surface mounted (NSM) FRP system using cement-based adhesives, as an alternative to epoxy adhesives due to their high-temperature resistance and moisture-durability problems, employing experimental data. Therefore, closed-form formulas were presented for key components of the bond-slip law, including maximum bond stress, corresponding slip, fracture energy, and post-peak branch, while taking important factors into account. Compared to available bond-slip laws, this innovative model demonstrates promising potential in predicting the bond behaviour, thereby enabling more efficient and reliable designs for the NSM FRP strengthening applications using cement-based adhesives.
KW - NSM FRP
KW - Bond-slip law
KW - Cement-based adhesives
KW - Artificial Neural Networks
KW - Concrete structures
UR - http://www.scopus.com/inward/record.url?scp=85190816107&partnerID=8YFLogxK
U2 - 10.1016/j.conbuildmat.2024.136034
DO - 10.1016/j.conbuildmat.2024.136034
M3 - Article
VL - 427
JO - Construction and Building Materials
JF - Construction and Building Materials
SN - 0950-0618
M1 - 136034
ER -