Verification and Validation of Pavement Models

被引:3
作者
Hernandez, Jaime [1 ]
Jayme, Angeli [2 ]
Ozer, Hasan [3 ]
Levenberg, Eyal [4 ]
Khazanovich, Lev [5 ]
Kutay, Emin M. [6 ]
机构
[1] Marquette Univ, Dept Civil Construct & Environm Engn, Milwaukee, WI 53233 USA
[2] Univ Illinoisat Urbana Champaign, Illinois Ctr Transportat, Urbana, IL 61801 USA
[3] Arizona State Univ, Sch Sustainable Engn & Built Environm, Tempe, AZ 85281 USA
[4] Tech Univ Denmark, Dept Environm & Resource Engn Geotech & Geol, Lyngby, Denmark
[5] Univ Pittsburgh, Dept Civil & Environm Engn, Pittsburgh, PA 15261 USA
[6] Michigan State Univ, Dept Civil & Environm Engn, E Lansing, MI 48824 USA
关键词
SIMULATION; FLOW;
D O I
10.1061/JPEODX.PVENG-1517
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Model development activities are increasing in pavement research and engineering applications. At the same time, there is ambiguity and a lack of consistency with regard to checking and quantifying credibility and suitability for the intended application. Specifically, usage of the terms Verification and Validation (V&V) is seen to vary across contributions. In this context, this paper was motivated by the desire to provide a best-practice reference that underlines the significance of the V&V terms, clarifies their definition, and promotes a more unified usage. Accordingly, the objective was to offer examples that introduce the V&V jargon, demonstrate basic V&V concepts and processes, and highlight certain fine points. A total of five distinct models were introduced and discussed: (1) load-related responses in asphalt pavements, (2) load-related responses in concrete pavements, (3) crack initiation and propagation in asphalt concrete, (4) linear viscoelasticity of asphalt concrete, and (5) water flow through asphalt concrete pores. A general conclusion from this work is that successful V&V efforts are closely linked to a clear definition of the intended usage, i.e., the specific reality of interest being targeted by the model. It is also concluded that documenting V&V efforts is integral to any computational model development. Doing so communicates to potential users the region of confidence for the model alongside the expected differences with the reality of interest.
引用
收藏
页数:19
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