An interpretable ensemble-learning-based open source model for evaluating the fire resistance of concrete-filled steel tubular columns
Xin-Yu Zhao, Jinxin Chen, Bo Wu
Topics & Concepts
HeuristicComputer scienceGenetic algorithmCode (set theory)Open sourceFire resistanceGenetic programmingKey (lock)Artificial intelligenceInterface (matter)Nonlinear systemMachine learningStructural engineeringEngineeringSoftwareProgramming languageMaterials scienceComputer securityPhysicsBubbleComposite materialMaximum bubble pressure methodSet (abstract data type)Quantum mechanicsParallel computingStructural Load-Bearing AnalysisFire effects on concrete materialsConcrete Corrosion and Durability