Probabilistic Reliability Analysis of Carbon/Carbon Composite Nozzle Cones with Uncertain Parameters

Xie, Weihua; Yang, Yun; Meng, Sheng; Peng, Tao; Yuan, Jie; Scarpa, Fabrizio; Xu, Chenghai; Jiang, Hua

doi:10.2514/1.a34392

Cited by 7 publications

(4 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The PCE can be further exploited by performing a Sobol analysis to study the influence of the contact parameters on the variance of vibration amplitude and frequency. As mentioned in Section 4.1, the Sobol analysis is a global variance based sensitivity analysis which decomposes the variance of the output of the model or system into fractions, called Sobol indices, that can be attributed to inputs or sets of inputs [60]. When the Sobol index of an uncertain parameter is close to 1, the parameter has a high influence on the output, while when the Sobol index is close to 0, the parameter has a low influence.…”

Section: Sobol Analysismentioning

confidence: 99%

Propagation of friction parameter uncertainties in the nonlinear dynamic response of turbine blades with underplatform dampers

Yuan

Fantetti

Denimal

et al. 2021

Mechanical Systems and Signal Processing

Self Cite

View full text Add to dashboard Cite

Underplatform dampers are widely used in turbomachinery to mitigate structural vibrations by means of friction dissipation at the interfaces. The modelling of such friction dissipation is challenging because of the high variability observed in experimental measurements of contact parameters. Although this variability is not commonly accounted for in state-of-the-art numerical solvers, probabilistic approaches can be implemented to include it in dynamics simulations in order to significantly improve the estimation of the damper performance. The aim of this work is to obtain uncertainty bands in the dynamic response of turbine blades equipped with dampers by including the variability observed in interfacial contact parameters. This variability is experimentally quantified from a friction rig and used to generate uncertainty bands by combining a deterministic state-of-the-art numerical solver with stochastic Polynomial Chaos Expansion (PCE) models. The bands thus obtained are validated against experimental data from an underplatform damper test rig. In addition, the PCEs are also employed to perform a variance-based global sensitivity analysis to quantify the influence of contact parameters on the variation in the nonlinear dynamic response via Sobol indices. The analysis highlights that the influence of each contact parameter in vibration amplitude strongly varies over the frequency range, and that Sobol indices can be effectively used to analyse uncertainties associated to structures with friction interfaces providing valuable insights into the physics of such complex nonlinear systems.

show abstract

Section: Sobol Analysismentioning

confidence: 99%

Propagation of friction parameter uncertainties in the nonlinear dynamic response of turbine blades with underplatform dampers

Yuan

Fantetti

Denimal

et al. 2021

Mechanical Systems and Signal Processing

Self Cite

View full text Add to dashboard Cite

show abstract

“…Numerous works have highlighted the significance of nozzles concerning the flow analyses (see for instance [1,2,3]), the jet noise source and acoustics (see for instance [4,5,6,7,8]), the nozzle materials [9,10,11], the nozzle vibrations [12], the fluid-structure interactions and vibroacoustics [13,14,15,16], the nozzle optimization [17,18,19,20,21,22]. The effects of uncertainties in nozzle models have also been studied, see for instance [23,24,25,26]. It should be noted that vibrations and structural dynamic analyses of nozzle structures are important aspects of aerospace engineering.…”

Section: Introductionmentioning

confidence: 99%

Updating Nonlinear Stochastic Dynamics of an Uncertain Nozzle Model Using Probabilistic Learning With Partial Observability and Incomplete Dataset

Capiez-Lernout,

Ezvan,

Soize

2024

Journal of Computing and Information Science in Engineering

View full text Add to dashboard Cite

This paper introduces a methodology for updating the nonlinear stochastic dynamics of a nozzle with uncertain computational model. The approach focuses on a high-dimensional nonlinear computational model constrained by a small target dataset. Challenges include the large number of degrees-of-freedom, geometric nonlinearities, material uncertainties, stochastic external loads, under-observability, and high computational costs. A detailed dynamic analysis of the nozzle is presented. An updated statistical surrogate model relating the observations of interest to the control parameters is constructed. Despite small training and target datasets, and partial observability, the study successfully applies Probabilistic Learning on Manifolds (PLoM) to address these challenges. PLoM captures geometric nonlinear effects and uncertainty propagation, improving conditional mean statistics compared to training data. The conditional confidence region demonstrates the ability of the methodology to accurately represent both observed and unobserved output variables, contributing to advancements in modeling complex systems.

show abstract

“…Many scholars have studied the thermal protection mechanism and the thermal response model of thermal protection materials. [9][10][11][12][13][14][15][16][17] Most thermal response models account for the heat conduction inside the material, the pyrolysis process of the resin matrix, the surface radiation, the flow of pyrolysis gas and the energy transfer caused by the gas flow. For example, Amar [18] presented a study extending the model of polymer matrix composites considering decomposition kinetics, pyrolysis gas flow, and a mixture (solid and gas) energy equation.…”

Section: Introductionmentioning

confidence: 99%

Components of thermal protection mechanism of carbon/phenolic composites exposed to severe aerodynamic heat

et al. 2022

View full text Add to dashboard Cite

In order to improve the thermal protection efficiency of carbon/phenolic (C/Ph) composites used as the heatshield of hypersonic vehicles, it is essential to find out the components of its thermal protection mechanism. In this study, a pyrolysis layer model considering pressure is established to simulate the percentages of heat dissipated by different thermal protection mechanisms. Numerical results reveal that the thermal protection mechanism of C/Ph composites mainly comprises of surface radiation, the heat absorbed by the heat capacity and thermal blockage effect (TBE) of pyrolysis gas, but the TBE weakens as heating time increases. Furthermore, the evolution laws of different thermal protection mechanisms of C/Ph composites with resin content are given. Based on the components of thermal protection mechanisms, both reducing the thermal conductivity of the resin matrix composites and increasing the material emissivity are effective approaches to enhancing the thermal protection efficiency of C/Ph composites exposed to severe aerodynamic heat.

show abstract

Probabilistic Reliability Analysis of Carbon/Carbon Composite Nozzle Cones with Uncertain Parameters

Cited by 7 publications

References 33 publications

Propagation of friction parameter uncertainties in the nonlinear dynamic response of turbine blades with underplatform dampers

Propagation of friction parameter uncertainties in the nonlinear dynamic response of turbine blades with underplatform dampers

Updating Nonlinear Stochastic Dynamics of an Uncertain Nozzle Model Using Probabilistic Learning With Partial Observability and Incomplete Dataset

Components of thermal protection mechanism of carbon/phenolic composites exposed to severe aerodynamic heat

Contact Info

Product

Resources

About