Siemens Aktiengesellschaft

Siemens Energy, Inc.

Siemens Energy Global Gmbh & Co. Kg

Kai Kadau

Christian Amann

Chirag B Patel

Shaohua Kevin Zhou

Jingdan Zhang

Waheed A Abbasi

Christopher W Ross

Michael Clossen-von Lanken Schulz

Abdullatif M Chehab

El Mahjoub Rasselkorde

Eberhard Deuker

Himanshu Bhatnagar

Xuefei Guan

Sachin R Shinde

Phillip W Gravett

Chin-Sheng Lee

Steve H Radke

Ashley L Lewis

Björn Beckmann

Amit K Paspulati

Sebastian Schmitz

Cristina C Popescu

Boris Ferdinand Kock

Santosh B Narasimhachary

Thomas Koeppe

Yan Guo

Georg Rollmann

Francesco Radaelli

Markus Vöse

Sankar Narayanan

Marcel Zwingenberg

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.

Computer-implemented method for the probabilistic estimation of a probability of failure of a component, a data processing system, a computer program product and a computer-readable storage medium

A non-contact seal assembly for sealing a gap between relatively rotatable components in a gas turbine engine is presented. The non-contact seal assembly includes a primary seal having a radially movable seal shoe, a mid-plate, an aft secondary seal radially movable along with the seal shoe, a forward secondary seal and a U-shaped seal carrier for holding the components together using pins. The seal shoe includes a plurality of seal shoe segments. The aft secondary seal includes a plurality of aft secondary seal segments. Each aft secondary seal segment is attached to each seal shoe segment. Each aft secondary seal segment includes at least a notch at outer radial side to receive the pin for accommodating radial movement of the seal shoe segment.

Non-contact seal assembly in gas turbine engine

A method for estimating life of a component includes obtaining fracture data corresponding to a component. The fracture data includes a first dataset corresponding to a threshold region where the crack in the component is dormant below a fatigue threshold. The method further includes determining initial estimates of parameters of a crack growth rate model and parameters of temperature models corresponding to the crack growth rate model based on the fracture data. The method also includes computing optimized parameters of temperature models corresponding to the crack growth rate model, and a scatter parameter via simulation of a joint optimization method using the initial estimates. The method includes determining a cumulative distribution function based on the optimized parameters and the scatter parameter and estimating life of the component based on the cumulative distribution function.

System, apparatus, and method for estimating life of components

A method for analyzing a three-dimensional stress concentrating feature of a component (), such as a borehole (), using a two-dimensional probabilistic technique. A circumferentially-dependent stress concentration profile around the stress concentrating feature is determined, and then a probability of failure of the component is calculated using a 2D probabilistic failure analysis of the stress concentration profile. The probabilistic failure analysis may include a Monte Carlo theta integration approach.

Method for analysis of 3D features using a 2D probabilistic analysis

A method for operating a machine component under stress. The method comprises determining a probability of failure PoF(N) of the component as a function of N cycles, selecting a time-based acceptable risk limit for the component and selecting an operational profile for the component, converting the time-based acceptable risk limit to a cycle-based acceptable risk limit using the operational profile, comparing the cycle-based acceptable risk limit with the PoF(N) values to determine an operational status of the component, comparing the cycle-based acceptable risk limit with the PoF(N) values, and operating the machine component responsive to results of the comparing step.

Scheduling inspections and predicting end-of-life for machine components

A method for probabilistic fatigue life prediction using nondestructive testing data considering uncertainties from nondestructive examination (NDE) data and fatigue model parameters. The method utilizes uncertainty quantification models for detection, sizing, fatigue model parameters and inputs. A probability of detection model is developed based on a log-linear model coupling an actual flaw size with a nondestructive examination (NDE) reported size. A distribution of the actual flaw size is derived for both NDE data without flaw indications and NDE data with flaw indications by using probabilistic modeling and Bayes theorem. A turbine rotor example with real world NDE inspection data is presented to demonstrate the overall methodology.

Probabilistic modeling and sizing of embedded flaws in ultrasonic nondestructive inspections for fatigue damage prognostics and structural integrity assessment

A method of brazing including melting a surface region () of a substrate () and contacting a braze material () with the melted surface region, the braze material including a plurality of braze fillers () and a plurality of carbon structures (). The method further includes subjecting the braze material to an amount of energy effective to melt the braze fillers but not the carbon structures, and cooling the braze material to form a brazement () including the carbon structures within at least a portion of the substrate. The brazement includes a gradient () of the carbon structures, wherein a concentration of the carbon structures increases in a direction away from an interior of the substrate.

Method for utilizing a braze material with carbon structures

A probabilistic estimation of fatigue crack life of a component is provided. A plurality of representations of the component is defined from material property scatter data and flaw-size scatter data, wherein each representation is defined by one possible material condition and flaw-size condition associated with the component. For each representation, a component location is selected and a determination is made whether said individual representation fails after a given number of cycles N, based on the calculation of a crack growth in the selected location. The crack growth is calculated on the basis of the material condition and the flaw-size condition in the selected location. Failure of the individual representation is determined if the crack growth is determined to be unstable. The sum total of the number of the representations that failed after N cycles is determined. A probability of failure of the component after N cycles is then determined.

Method and system for probabilistic fatigue crack life estimation

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Kai Kadau