TY - GEN
T1 - Classification and moral evaluation of uncertainties in engineering modeling
AU - Murphy, C.
AU - Gardoni, P.
AU - Harris, C. E.
PY - 2011
Y1 - 2011
N2 - Engineers must deal with risks and uncertainties as a part of their professional work and, in particular, uncertainties are inherent to engineering models. Models play a central role in engineering. Models often represent an abstract and idealized version of the mathematical properties of a target. Using models, engineers can investigate and acquire understanding of how an object or phenomenon will perform under specified conditions. This paper defines the different stages of the modeling process in engineering, classifies the various sources of uncertainty that arise in the each stage, and discusses the categories into which these uncertainties fall. The paper then considers the way uncertainty and modeling are approached in science, in order to highlight the very different criteria appropriate for the development of models and the treatment of the inherent uncertainties in engineering. Finally, the paper puts forward nine guidelines for the treatment of uncertainty in engineering modeling.
AB - Engineers must deal with risks and uncertainties as a part of their professional work and, in particular, uncertainties are inherent to engineering models. Models play a central role in engineering. Models often represent an abstract and idealized version of the mathematical properties of a target. Using models, engineers can investigate and acquire understanding of how an object or phenomenon will perform under specified conditions. This paper defines the different stages of the modeling process in engineering, classifies the various sources of uncertainty that arise in the each stage, and discusses the categories into which these uncertainties fall. The paper then considers the way uncertainty and modeling are approached in science, in order to highlight the very different criteria appropriate for the development of models and the treatment of the inherent uncertainties in engineering. Finally, the paper puts forward nine guidelines for the treatment of uncertainty in engineering modeling.
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U2 - 10.1061/41170(400)51
DO - 10.1061/41170(400)51
M3 - Conference contribution
AN - SCOPUS:79958089400
SN - 9780784411704
T3 - Vulnerability, Uncertainty, and Risk: Analysis, Modeling, and Management - Proceedings of the ICVRAM 2011 and ISUMA 2011 Conferences
SP - 417
EP - 424
BT - Vulnerability, Uncertainty, and Risk
T2 - International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2011 and the International Symposium on Uncertainty Modeling and Analysis, ISUMA 2011
Y2 - 11 April 2011 through 13 April 2011
ER -