Experimental Validation of Surrogate Models for Predicting the Draping of Physical Interpolating Surfaces

Esben Toke Christensen*, Erik Lund, Esben Lindgaard

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

1 Citation (Scopus)


This paper concerns the experimental validation of two surrogate models through a benchmark study involving two different variable shape mould prototype systems. The surrogate models in question are different methods based on kriging and proper orthogonal decomposition (POD), which were developed in previous work. Measurement data used in the benchmark study are obtained using digital image correlation (DIC). For determining the variable shape mould configurations used for the training, and test sets used in the study, sampling is carried out using a novel constrained nested orthogonal-maximin Latin hypercube approach. This sampling method allows for generating a space filling and high-quality sample plan that respects mechanical constraints of the variable shape mould systems. Through the benchmark study, it is found that mechanical freeplay in the modeled system is severely detrimental to the performance of the studied surrogate models. By comparing surrogate model performance for the two variable shape mould systems, and through a numerical study involving simple finite element models, the underlying cause of this effect is explained. It is concluded that for a variable shape mould prototype system with a small degree of mechanical freeplay, the benchmarked surrogate models perform very well.

Original languageEnglish
Article number011401
JournalJournal of Mechanical Design, Transactions of the ASME
Issue number1
Number of pages14
Publication statusPublished - 1 Jan 2018


  • digital image correlation
  • experimental validation
  • kriging
  • Latin hypercube sampling
  • proper orthogonal decomposition
  • Surrogate modeling
  • variable shape mould


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