Exploring temperature-resilient recycled aggregate concrete with waste rubber: An experimental and multi-objective optimization analysis

Abstract For low-carbon sustainability, recycled rubber particles (RPs) and aggregate (RA) could be used to make rubber-modified concrete (RRAC). The characteristics (compressive strength peak strain) of RRAC with various amounts RA RPs after heating at temperatures were studied in this work. results show that high significantly decreased the uniaxial compressive (UCS), whereas addition ( e.g. , 50%) 5%) can mitigate negative effect caused by temperatures. strain also improved increasing replacement ratios RP. Support vector regression (SVR) models trained using a total 120 groups UCS experimental datasets, an SVR-based multi-objective optimization model was proposed. excellent correlation coefficients (0.9772 for 0.9412 found illustrate remarkable accuracy SVR models. Pareto fronts tri-objective mixture design (UCS, strain, cost) successfully generated as decision reference varying temperature conditions. A sensitivity analysis performed rank importance input variables where most important one. In addition, ratio is more compared RP both datasets. Among mechanical properties concrete, are two key properties. This study provides guidance constitutive under