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A data-driven solving strategy based on a greedy optimization algorithm for the analysis of nonlinear beam structures
In the last decade, data-driven computational mechanics (DDCM) has emerged as a novel paradigm in computational mechanics, enabling the direct use of constitutive data - such as stress-strain pairs obtained from experiments, without relying on ad-hoc material models and thereby avoiding information
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