Acceptance criteria for validation metrics in roadside safety based on repeated full-scale crash tests

Mario Mongiardini, Malcolm H. Ray and Marco Anghileri

International Journal of Reliability and Safety, 2010, vol. 4, issue 1, 69-88

Abstract: This paper proposes acceptance criteria for quantitative comparison metrics to be applied in the Verification and Validation (V&V) process of computational models used in roadside safety. Typically, the degree of verification or validation of a numerical model is assessed by qualitatively comparing the shapes of two curves, but qualitative comparisons are subjective and open to interpretation. Using quantitative comparison metrics in the V&V process allows for an objective measure of the reliability of a numerical model. Two comparison metrics were selected from a group of 16 metrics found in the literature. Acceptance criteria suitable to the typical scatter of full-scale crash tests were established by comparing ten essentially identical vehicle redirectional crash tests. Since the tests were as identical as can be achieved experimentally, the values of the quantitative metrics represented the reasonable range for the metric corresponding to matched experiments. Typical residual errors expected in full-scale tests are also discussed.

Keywords: verification; validation; V&V; comparison metrics; full-scale crash tests; numerical simulation; roadside safety; computational modelling; model reliability. (search for similar items in EconPapers)
Date: 2010
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=29565 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijrsaf:v:4:y:2010:i:1:p:69-88

Access Statistics for this article

More articles in International Journal of Reliability and Safety from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().