Faculty of Civil & Architecture Engineering, East China University of Technology, Nanchang, China.
Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing, China.
PLoS One. 2024 Jun 3;19(6):e0304797. doi: 10.1371/journal.pone.0304797. eCollection 2024.
Partially encased concrete (PEC) has better mechanical properties as a structure where steel and concrete work together. Due to the increasing amount of construction waste, recycled aggregate concrete (RAC) is being considered by more people. However, although RAC has more points, the performance is inferior to natural aggregate concrete (NAC). To narrow or address this gap, lightweight, high-strength and corrosion-resistant CFRP can be used, also protecting the steel flange of the PEC structure. Therefore, carbon fiber reinforced polymer (CFRP) confined partially encased recycled coarse aggregate concrete columns were studied in this paper. With respect to different slenderness ratios, recycled coarse aggregate(RCA) replacement ratios, and number of CFRP layers, the performance of the proposed CFRP restrained columns are reported. The RCA replacement ratio is analyzed to be limited negative impact on the bearing capacity, generally within 6%. As for the slenderness ratio, the bearing capacity increased with it. However, wrapping CFRP significantly increased the bearing capacity. Considering the arch factor, a simple formula for calculating the ultimate strength of CFRP-confined partially encased RAC columns is developed based on EC4 and GB50017-2017. By comparison with the experimental values, the error is within 10%.
部分包裹混凝土（PEC）作为一种钢-混凝土协同工作的结构，具有更好的力学性能。由于建筑废弃物的日益增多，人们越来越多地考虑使用再生骨料混凝土（RAC）。然而，尽管 RAC 具有更多的优点，但性能却不如天然骨料混凝土（NAC）。为了缩小或解决这一差距，可以使用轻量、高强度和耐腐蚀的 CFRP，同时保护 PEC 结构的钢翼缘。因此，本文研究了碳纤维增强聚合物（CFRP）约束部分包裹再生粗骨料混凝土柱。针对不同的长细比、再生粗骨料（RCA）取代率和 CFRP 层数，报告了所提出的 CFRP 约束柱的性能。分析表明，RCA 取代率对承载力有一定的负面影响，但一般限制在 6%以内。对于长细比，承载力随长细比的增加而增加。然而，CFRP 的包裹显著提高了承载力。考虑拱系数，根据 EC4 和 GB50017-2017 ，提出了一个计算 CFRP 约束部分包裹再生骨料混凝土柱极限强度的简化公式。通过与实验值的比较，误差在 10%以内。
