The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 14, 2025

Filed:

Oct. 31, 2019
Applicant:

Siemens Energy Global Gmbh & Co. KG, Munich, DE;

Inventors:

Francesco Radaelli, Duisburg, DE;

Christian Amann, Bottrop, DE;

Kai Kadau, Lake Wylie, SC (US);

Sebastian Schmitz, Berlin, DE;

Markus Vöse, Berlin, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 30/20 (2020.01); G06F 30/13 (2020.01); G06F 111/08 (2020.01); G06F 119/02 (2020.01);
U.S. Cl.
CPC ...
G06F 30/20 (2020.01); G06F 30/13 (2020.01); G06F 2111/08 (2020.01); G06F 2119/02 (2020.01);
Abstract

A computer-implemented method for probabilistic quantification of probability of failure of a component, especially a gas turbine component, which during operation is subjected to cyclic stress, wherein the component is divided virtually in one or more domains. The method includes: providing or determining for at least one domain, a domain probability density function for crack initiation and providing or determining for the considered domains a domain probability density function for subsequent crack propagation induced failure. Determining for each considered domain a combined domain cumulative distribution function for failure or its probability density function is done by convoluting either both the considered domain probability density functions for crack initiation induced failure and the respective domain probability density function for subsequent crack propagation induced failure, or their integral function. Alternatively, numerical methods for said component failure probabilities include domain-based Monte-Carlo schemes.


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