Axial Compression Performance of Concrete-Filled Steel Tubular Columns with Damaged Bfrp Jackets

29 Pages Posted: 4 Jun 2024

See all articles by Yirui Zhang

Yirui Zhang

Nanjing Forestry University

Chi Ren

Nanjing Forestry University

Jiyang Yi

Nanjing Forestry University

Yang Wei

Nanjing Forestry University

Guofen Li

Nanjing Forestry University

Hu Zhao

affiliation not provided to SSRN

Abstract

Concrete-filled basalt fiber reinforced polymer (BFRP) -steel composite tube (CFBCT) columns have become a highly anticipated composite structure. The lateral confinement provided by BFRP can effectively suppress the possible local buckling of the steel tube, thereby achieving the goal of optimizing axial compression performance. With the widespread application of CFBCT in engineering practice, the BFRP outer layer is likely to be affected by factors such as construction accidents or connection design, resulting in slotting and drilling damage to the BFRP outer layer. Therefore, the mechanical properties of CFBCT subjected to local damage are critical. This article examined the effects of slotting and drilling the BFRP outer layer on the axial compression performance. The non-uniform strain distribution at the damaged site was analyzed using digital image correlation (DIC) testing technology. The results show that the local damage can lead to a decrease in the bearing capacity and ductility. Compared with drilling damage, slotting has a more significant impact on axial behavior. Due to the local damage, the ultimate stress decrease by 8.1% and 12.4% respectively. A new computational method was introduced to predict the quantitative impact of local damage on CFBCT.

Keywords: Compression behavior, BFRP, Concrete-filled steel tube (CFST), Local damage, Stress-strain curve, Digital image correlation (DIC)

Suggested Citation

Zhang, Yirui and Ren, Chi and Yi, Jiyang and Wei, Yang and Li, Guofen and Zhao, Hu, Axial Compression Performance of Concrete-Filled Steel Tubular Columns with Damaged Bfrp Jackets. Available at SSRN: https://ssrn.com/abstract=4852816 or http://dx.doi.org/10.2139/ssrn.4852816

Yirui Zhang

Nanjing Forestry University ( email )

159 Longpan Rd
Nanjing, 210037
China

Chi Ren

Nanjing Forestry University ( email )

159 Longpan Rd
Nanjing, 210037
China

Jiyang Yi

Nanjing Forestry University ( email )

159 Longpan Rd
Nanjing, 210037
China

Yang Wei (Contact Author)

Nanjing Forestry University ( email )

159 Longpan Rd
Nanjing, 210037
China

Guofen Li

Nanjing Forestry University ( email )

159 Longpan Rd
Nanjing, 210037
China

Hu Zhao

affiliation not provided to SSRN ( email )

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
10
Abstract Views
93
PlumX Metrics