… approximation of discontinuous responses has not been sufficiently addressed. Further,
structural design optimization utilizing such approximations of discontinuous responses still has …

… approximation of discontinuous responses has not been sufficiently addressed. Further,
structural design optimization utilizing such approximations of discontinuous responses still has …

… The problem of approximation of discontinuous responses has not been sufficiently … Further,
structural design optimization utilizing such approximations of discontinuous responses still …

… Surrogate models are prediction tools that can replace objective or constraint functions to
accelerate the optimization … their structural responses during the optimization process. A similar …

… optimization methods for many manufacturing companies. Structural design optimization …
They utilize the knowledge of the initial design to calculate the response of the structure for …

… To gain understanding of the different problems to be faced when looking for surrogate
models, a explicit division between discontinuous and continuous responses is introduced here. …

… time through the fitting of surrogate models. ML-based … , an uncertainty-based design
optimization framework based on … They focused on discontinuous domains that manifest …

… We review surrogate modeling of discontinuous simulators and some concepts from linear
… active subspace seems to capture the majority of the variation in the response. This is not the …

… these surrogate models to approximate objective functions with discontinuous responses is
… by using these surrogate models directly may mislead the optimization process. Researchers …

… a non-intrusive surrogate modeling strategy, leveraging model … the approximation of strongly
discontinuous functions. Besides … describes the dynamic response of the structure under the …