PSI - Issue 5

ScienceDirect Available online at www.sciencedirect.com Av ilable o line at ww.sciencedire t.com Sci ceDirect Structural Integrity Procedia 00 (2016) 000 – 000 Procedia Struc ural Integrity 5 (2017) 116 –1167 Available online at www.sciencedirect.com ScienceDirect Structural Integrity Procedia 00 (2017) 000 – 000 il l li t . i i t. tr t r l I t rit r i ( )

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XV Portuguese Conference on Fracture, PCF 2016, 10-12 February 2016, Paço de Arcos, Portugal Thermo-mechanical modeling of a high pressure turbine blade of an airplane gas turbine engine P. Brandão a , V. Infante b , A.M. Deus c * a Department of Mechanical Engineering, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1, 1049-001 Lisboa, Portugal b IDMEC, Department of Mechanical Engineering, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1, 1049-001 Lisboa, Portugal c CeFEMA, Department of Mechanical Engineering, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1, 1049-001 Lisboa, Portugal Abstract During their operation, modern aircraft engine components are subjected to increasingly demanding operating conditions, especially the high pressure turbine (HPT) blades. Such conditions cause these parts to undergo different types of time-dependent degradation, one of which is creep. A model using the finite element method (FEM) was developed, in order to be able to predict the creep behaviour of HPT blades. Flight data records (FDR) for a specific aircraft, provided by a commercial aviation company, were used to obtain thermal and mechanical data for three different flight cycles. In order to create the 3D model needed for the FEM analysis, a HPT blade scrap was scanned, and its chemical composition and material properties were obtained. The data that was gathered was fed into the FEM model and different simulations were run, first with a simplified 3D rectangular block shape, in order to better establish the model, and then with the real 3D mesh obtained from the blade scrap. The overall expected behaviour in terms of displacement was observed, in particular at the trailing edge of the blade. Therefore such a model can be useful in the goal of predicting turbine blade life, given a set of FDR data. 2nd International Conference on Structural Integrity, ICSI 2017, 4-7 September 2017, Funchal, Madeira, Portugal Cognitive Sensor Technology for Structural Health Monitoring Alexander Serov* Research Group of Automatic Intelligent Data Acquisition (RG AIDA), Zelenograd, 124498, Moscow, Russian Federation Current paper presents artificial neural network architecture based on Cognitive Sensor technology which may be used for development of intelligent SHM systems. Dynamic Artificial Neural Network (DANN) has time dependent structure which is defined by experience of processi g input data streams. Advantages of pr posed model include bility to learn both linear and non linear patterns on the basis of processing data streams. Evolution of DANN architecture includes stage of autonomous growth of subnets developed by separate Cognitive Sensors and stage of cooperative growth of resulting network. Example application of proposed cognitive technology for solution of Structural Health Monitoring problems is discussed. © 2017 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the Scientific Committee of ICSI 2017. Keywords: cognitive architecture, dynamic artificial neural network, Structural Health Monitoring; evolved systems 1. Introduction Struct ral Healt Monit ring (SHM) is a ed on technologies of detection, identificatio and characterization of damage and degradation of properties of engineering structures. Integration of sensors inside the structure of systems to be monitored makes possible to construct principally new engineering systems. One of most natural ways of innovation in the field of SHM is connected with development of technologies for automatic analysis of health indicators – quantities which characterize the state of engineering system and optimize prediction of this state. Success of exploitation of technical system highly depends upon the accuracy of detection of structural damage and evaluation of degree of influ nce of this damage on functi nality f this system. Each indicator of health of technical system highly depends upon the function of this system and operating conditions. Currently health indicators are f t ti I t lli t t i iti ( I ), l , , , i ti t rent paper t ti i i l l t it t iti t l i l t i t lli t t . i ti i i l l t ti t t t i i i i i i t t t . t l i l ilit t l t li li tt t i i t t . l ti it t i l t t t t l t iti t ti t lti t . l li ti iti t l l ti t t l lt it i l i i . 17 The Authors. Published by Elsevier B.V. Peer-review under resp i ilit t i ti i itt . : iti r it t r , i rtifi i l r l t r , tr t r l lt it ri ; l t . i t t l lt it i i t l i t ti , i ti i ti t i ti ti ti i i t t . t ti i i t t t t t it i l t t t i i ll i i t . t t l w i ti i t i ld of SHM i ct with l t t l i t ti l i lt i i t titi i t i t t t i i t ti i i ti t i t t . l it ti t i l t i l t t ti t t l l ti i l t i tio lit t i t . i i t lt t i l t i l t ti t i t ti iti . tl lt i i t © 2017 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the Scientific Committee of ICSI 2017 © 2016 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the Scientific Committee of PCF 2016. Keywords: High Pressure Turbine Blade; Creep; Finite Element Method; 3D Model; Simulation. Abstract

* Corresponding author. Tel.: +7-963-640-2100. E-mail address: alexser1929@gmail.com i t r. l.: - - - . - il : l r il. rr

2452-3216 © 2016 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the Scientific Committee of PCF 2016. 2452-3216  2017 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the Scientific Committee of ICSI 2017 10.1016/j.prostr.2017.07.027 * Corresponding author. Tel.: +351 218419991. E-mail address: amd@tecnico.ulisboa.pt 2452-3216 © 2017 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the Scientific Committee of ICSI 2017. l i r . . i i ilit t i ti i itt . - t r . li