The Impact of Input Parameters on the Reliability of Aircraft

This contribution intends to present procedures for Single Flight Probability of Failure calculations. Described mathematical models were the basis for creation of the original software Aircraft Structural Reliability Assessment (AStRAss), that allows comprehensive reliability calculations of the point of aircraft structure under real operating conditions. The theme of the paper is to present the sensitivity of failure rate to the input data, such as initial crack size distribution, stress intensity factor, stress, crack size and crack growth curve.

[1]  Bozena Babiarz,et al.  Reliability analysis in subsystem of heat supply , 2016, 2016 International Conference on Information and Digital Technologies (IDT).

[2]  Z. Vintr,et al.  Modeling and Analysis of the Reliability of Systems with One-shot Items , 2007, 2007 Annual Reliability and Maintainability Symposium.

[3]  J. Boril,et al.  Possibilities of Assessing Objectively a Flight Illusion Effect on a Pilot’s Spatial Orientation , 2018, Advances in Military Technology.

[4]  David Valis,et al.  A Tool for Decision Making in K-Out-of-N System Maintenance , 2011 .

[5]  M Woch Comparison of different methods for calculation of aircraft structure failure probability per single flight , 2016 .

[6]  Marta Woch,et al.  Reliability analysis of the PZL-130 Orlik TC-II aircraft structural component under real operating conditions , 2017 .

[7]  A. Blokus-Roszkowska,et al.  Probabilistic model of district heating operation process in changeable external conditions , 2015 .

[8]  Alan P. Berens,et al.  Aircraft Structural Reliability and Risk Analysis Handbook Volume 1: Basic Analysis Methods , 2013 .

[9]  Alena Vagaská,et al.  Monte Carlo Method Application and Generation of Random Numbers by Usage of Numerical Methods , 2019 .

[10]  Šárka Hošková-Mayerová,et al.  Education and Training in Crisis Management. , 2016 .

[11]  Paweł Kut,et al.  District heating simulation in the aspect of heat supply safety , 2018 .

[12]  Václav Talhofer,et al.  Mathematical Model Used in Decision-Making Process with Respect to the Reliability of Geodatabase , 2013, Advanced Dynamic Modeling of Economic and Social Systems.

[13]  T. Bedford,et al.  Probabilistic Risk Analysis: Foundations and Methods , 2001 .

[14]  Jan Vychytil,et al.  Virtual hybrid human body model for PTW safety assessment , 2017 .

[15]  Claudio Sbarufatti,et al.  Experimental Validation of a Computational Hybrid Methodology to Estimate Fuselage Damage Due to Harsh Landing , 2016 .

[16]  Petra Kochová,et al.  Leather for motorcyclist garments: Multi-test based material model fitting in terms of Ogden parameters , 2017 .

[17]  D. Valis,et al.  Dependability of mechatronics systems in military vehicle design , 2006 .

[18]  L. Molent,et al.  Ex-Service F/A-18 Centre Barrel Fatigue Flaw Identification Test Plan , 2003 .

[19]  Simon Barter,et al.  Interpreting fatigue test results using a probabilistic fracture approach , 2005 .