Dear All,
Hello. My name is João André and I'm a Portuguese phd student at Oxford
Brookes University. My subject is risk management of bridges during their
construction phase.
I've developed a structural robustness index (which basically weights the
damage accumulation within the structure) which is a random variable but
can only take values between [0,1]. The particularity is that the cdf of
this robustness index is a mixture distribution with non-zero probabilistic
content at R=0 and R=1 and a continuous function within.
The classical polynomial approximation of the response surface fails to
give good results because of these discontinuities. I'm using a community
developed reliability software named OpenTurns (www.*openturns*.org,
developed by EDF, EADS and PhimecaSoft) to do my analysis and they have
implemented libsvm. However, I believe that within scikits new developments
of SVR have been made that could be more efficient and accurate to solve
such a problem as mine. I kindly ask your opinion about this and I thank
you in advance for your time and attention.
Kind regards,
--
João André
Engenheiro Civil, Mestre / Civil Engineer, M.Sc.
Bolseiro de Doutoramento / PhD Student
Núcleo de Comportamento de Estruturas / Structural Behaviour Division
Departamento de Estruturas / Structures Department
Laboratório Nacional de Engenharia Civil / National Laboratory for Civil
Engineering
LNEC, Av. Brasil 101, 1700-066 Lisboa / Lisbon, Portugal
Web: http://www.lnec.pt/
E-mail: [email protected]
Telefone / Phone: (+351) 218 443 355
Fax: (+351) 218 443 025
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