Multi-objective optimization of high performance concrete columns under compressive loading with potential applications for sustainable earthquake-resilient structures and infrastructures

High performance column composites are multifunctional composites designed to improve resilience of structures and infrastructures to natural and unforeseen multiple loads during service. As a result of their superior mechanical performance, high performance column composites have been found attractive to improve resilience of medium and high-rise buildings as well as long-span structures and infrastructures in earthquake-prone regions. Scientometric analysis revealed limitations of traditional design standards and inadequate earthquake engineering to reduce collosal damage during seismic impact and the need for investment in alternative green energy to reduce anthropogenic-induced earthquakes linked to oil and gas projects. High performance CFRP (carbon fibre reinforced polymer) composite was investigated as potential laminate reinforcement and confinement for recycled concrete column using performance-based Taguchi-Response surface methodology optimization. Though columns wrapped with two layers CFRP confinement and reinforced with internal laminate CFRP reinforcement obtained higher maximum load and favourable failure mode, the optimized result, which comprises column confined with two layers of external CFRP confinement only, obtained 36.3% and 36.19% greater fracture toughness and fracture energy respectively, 1.4 times better displacement ductility index, 2.78 times strain ductility index and comparable load capacity. The superior mechanical performance of high performance recycled concrete column composite and favourable failure mode was attributed to strain hardening effect which depends on the CFRP confinement. Further studies are required to improve the mechanical performance and failure mode of high performance column composite for construction of resilient structures and infrastructures in the built environment. © 2023 Elsevier Ltd