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Uniform TitleSensitivity analysis of blast loading parameters and their trends as uncertainty increases
NameBorenstein, Elan (author), Benaroya, Haym (chair), Baruh, Haim (internal member), Song, Peng (internal member), Rutgers University, Graduate School - New Brunswick,
Degree Date2007
Date Created2007
SubjectMechanical and Aerospace Engineering,
Blast effect--Mathematical models,
Blast effect--Simulation methods
DescriptionA sensitivity analysis of blast loading parameters is performed to determine which of the parameters' uncertainty has the greatest effect on
the maximum deflection of an aluminum plate subjected to a blast load. A numerical simulation using the Monte Carlo method is used to obtain the ensemble averages of the probabilistic runs. The random variables were given a uniform distribution. Two simplified loading models are used. The first has an instantaneous rise with an exponential decay, represented by the modified Friedlander equation. The second loading model has a linear rise with an exponential decay. Both of these models are simulated with three different blast scaled values, giving a total of six different cases.
In addition, the deflection trends due to the loading parameters as uncertainty increases is quantified. Probability density functions of the
maximum deflection are also presented. The probabilistic results and trends are also explained using deterministic methods. It appears that the duration time of the loading models is generally the most sensitive parameter to uncertainty.
the maximum deflection of an aluminum plate subjected to a blast load. A numerical simulation using the Monte Carlo method is used to obtain the ensemble averages of the probabilistic runs. The random variables were given a uniform distribution. Two simplified loading models are used. The first has an instantaneous rise with an exponential decay, represented by the modified Friedlander equation. The second loading model has a linear rise with an exponential decay. Both of these models are simulated with three different blast scaled values, giving a total of six different cases.
In addition, the deflection trends due to the loading parameters as uncertainty increases is quantified. Probability density functions of the
maximum deflection are also presented. The probabilistic results and trends are also explained using deterministic methods. It appears that the duration time of the loading models is generally the most sensitive parameter to uncertainty.
NoteM.S.
NoteIncludes bibliographical references (p. 103-105).
Genretheses
Persistent URLhttp://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.15787
LanguageEnglish
CollectionGraduate School - New Brunswick Electronic Theses and Dissertations
Organization NameRutgers, The State University of New Jersey
RightsThe author owns the copyright to this work.