Reinforcement bond performance in 3D concrete printing: Explainable ensemble learning augmented by deep generative adversarial networks
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The increasing usage of nonlinear analyses for the design of reinforced concrete structures and the necessity of codes of practice to provide a consistent safety format for them is one of the challenges that new generations of codes of practice are facing. ...
The shear stiffness of headed stud connector is a critical parameter for the calculation of deflection and inter-facial shear force for steel-concrete composite structure. Thus, this study presented a promising data-driven model auto-tuning Deep Forest (AT ...
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Most codes of practice adopt a semi probabilistic design approach for the dimensioning and assessment of structures. Accordingly, structural safety is ensured by performing limit state verifications using design values determined with adequately calibrated ...
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‘Concrete: Cosmetic and Care’ focuses on a heavy heritage: the mass of mainly post-war structures in reinforced concrete. The post-war building boom covered the globe with an unprecedented amount of concrete. Production of every ton of cement alone release ...
The shear resistance of headed studs is of paramount importance for the design of steel-concrete composite structures and an accurate predictive model is highly needed. Ensemble learning is expected to be a powerful solution while it relies on laborious se ...