PSI - Issue 13

ScienceDirect Available online at www.sciencedirect.com Av ilable o line at ww.sciencedire t.com ienceDirect Structural Integrity Procedia 00 (2016) 000 – 000 Procedia Structu al Integrity 13 (2018) 825–83 Available online at www.sciencedirect.com ScienceDirect Structural Integrity Procedia 00 (2018) 000 – 000 Available online at www.sciencedirect.com ScienceDirect Structural Int grity Procedia 00 (2018) 000 – 000

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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. © 2018 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the ECF22 organizers. ECF22 - Loading and Environmental effects on Structural Integrity Prediction model of corrosion losses based on probabilistic approach Vit Krivy a , Monika Kubzova a, *, Katerina Kreislova b , Martin Krejsa a a Faculty of Civil Engineering, VSB-Technical University of Ostrava, L. Podeste 1875, 708 00 Ostrava, Czech Republic b SVUOM Ltd., U Mestanskeho Pivovaru 934/4, 170 00 Prague 7, Czech Republic, email:kreislova@svuom.cz Abstract The article deals with the prediction of corrosion losses of weathering steels based on the application of dose-response functions. The following environmental characteristic incoming the dose-response functions are analyzed using statistic and probabilistic methods: mean annual values of the temperature T , concentration of sulfur dioxide SO 2 , relative air humidity RH , deposition of chlorides Cl - . Long-term measurements of nvironmental parameters at atmospheric test sites were used for the analysis. All the environmental parameters incoming the dose-response functions are considered to be random variables represented by corresponding histogram. Using the probabilistic analysis it is possible to predict the expected range of corrosion rates and to analyze the impact of particular environmental characteristic on corrosion process. © 2018 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the ECF22 organizers. Keywords: corrosion losses; weathering steel; dose-response function; probabilistic method; environmental parameters; histogram 1. Introduction The main a mospheric corrosion factors include relativ air humidity; ir emperature; d position rates of cor o ion sti ulators presents i air - sulfur dioxide and chlorides; the amount f dust particles in air; amount of precipitation; pH value of precipitation, see Morcillo et al. (2013) and Leygraf et al. (2016). Surface location within the steel structure also has significant influence on corrosion behavior and development of corrosion products, Krivy et al. (2016, 2017). Suitable materials for the design of structures located in the outdoor environment are steels with increased resistance to atmospheric corrosion, so called weathering steels . These low alloy steels contain up to 2 wt. % of alloying elements such as Cu, Cr, Ni and P, which positively affect the corrosion properties of the metal and its corrosion behavior in ECF22 - Loading and Environmental effects on Structural Integrity Prediction model of corrosion losses based on probabilistic approach Vit Krivy a , Monika Kubzova a, *, Katerina Kreislova b , Martin Krejsa a a Faculty of Civil Engineering, VSB-Technical University of Ostrava, L. Podeste 1875, 708 00 Ostrava, Czech Republic b SVUOM Ltd., U M stanskeho Pivovaru 934/4, 170 00 Prague 7, Czech R public, email:kreislova@svuom.cz Abstract The article deals with the prediction of corrosion losses of weathering steels based on the application of dose-response functions. following environmental characteristic incoming the dose-response functions are an lyzed using statistic and probabilistic methods: mean annual values of the t mperature T , concentration of sulfur dioxide SO 2 , relative air humidity RH , deposition of chlorides Cl - . Lo g-term measurements of environmental par meters at atmospheric test sites w re used for the analysis. All the environmental a eters in oming the dose-response functions re consid re to be random variables represented y corresponding histogram. Using the probabilistic analysis it is possible to predict the exp cted range of corrosion rat s and to analyze the impact of particular environmental characteristic on c rrosion proc ss. © 2018 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the ECF22 organizers. Keywords: corrosion losses; weathering steel; dose-response function; probabilistic method; environmental parameters; histogram 1. Introduction The main atmo pheric c rosi n factor include relative ir humid y; air temperature; depositi n rat s of corrosion stimulators presents in air - sulfur dioxide and chlorides; the amount of dust particles in air; amount of precipitation; pH value of precipitation, see Morcillo et al. (2013) and Leygraf et al. (2016). Surface location within the steel structure also has significant influence on corrosion behavior and development of corrosion products, Krivy et al. (2016, 2017). Suitable materials for the design of structures located in the outdoor environment are steels with increased resistance to atmospheric corrosion, so called weathering steels . These low alloy steels contain up to 2 wt. % of alloying elements such as Cu, Cr, Ni and P, which positively affect the corrosion properties of the metal and its corrosion behavior in © 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.

* Corresponding author. Tel.: +420-597-321-980. E-mail address: monika.kubzova@vsb.cz * Corresponding author. Tel.: +420-597-321-980. E-mail ad ress: monika.kubzova@vsb.cz

* Corresponding author. Tel.: +351 218419991. E-mail address: amd@tecnico.ulisboa.pt 2452-3216 © 2018 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the ECF22 organizers. 2452-3216 © 2018 The Authors. Published by Elsevier B.V. Peer review under r sponsibility of the ECF22 organizers.

2452-3216 © 2016 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the Scientific Committee of PCF 2016.

2452-3216  2018 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the ECF22 organizers. 10.1016/j.prostr.2018.12.158