We review the opportunities to validate multibody musculoskeletal models in view of the
current transition of musculoskeletal modelling from a research topic to a practical simulation …

We address the thermal problem posed at the Sandia Validation Challenge Workshop.
Unlike traditional approaches that confound calibration with validation and prediction, our …

Our objective in this work is to provide a better understanding of the various model updating
strategies that utilize mathematical means to update a computer model based on both …

Validation is the assessment of the match between a model's predictions and empirical
observations. It can be complex when either data or the prediction is characterised as an …

Computational models with variable fidelity have been widely used in engineering design.
To alleviate the computational burden, surrogate models are used for optimization without …

Model calibration, validation, prediction and uncertainty quantification have progressed
remarkably in the past decade. However, many issues remain. This paper attempts to …

The conventional reliability-based design optimization (RBDO) methods assume that a
simulation model is able to represent the real physics accurately. However, this assumption …

This paper describes and demonstrates the Real Space (RS) model validation approach
and the Predictor-Corrector (PC) approach to extrapolative prediction given model bias …

For engineering simulation models, insufficient experimental data and imperfect
understanding of underlying physical principles often make predictive models inaccurate. It …

We consider a general measure of validation assessment that can be used to characterize
the disagreement between the quantitative predictions from a model and relevant empirical …