Uncertainty quantification in modeling and measuring components with resonant ultrasound spectroscopy

Biedermann, Eric; Jauriqui, Leanne; Aldrin, John C.; Mayes, Alex; Williams, Tom; Mazdiyasni, Siamack

doi:10.1063/1.4940526

Cited by 7 publications

(3 citation statements)

References 5 publications

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“…Estimating error for individual elastic stiffness coefficients determined by RUS is challenging and has been proposed by calculating the curvature of the minimum solution to the inverse problem in parameter space. 34 Methods of uncertainty analysis for elastic stiffness coefficients determined by RUS have also been proposed in recent studies, [39][40][41][42] which have commonly involved finite element modeling and Monte Carlo analysis. Accurate estimation of error for RUS measurements deserves the attention of its own study and will be part of future investigation.…”

Section: Resultsmentioning

confidence: 99%

Demonstrating resonant ultrasound spectroscopy as a viable technique to characterize thermally conditioned high explosive materials

Lum,

Stobbe,

Mirkarimi

et al. 2024

Journal of Applied Physics

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We present results of resonant ultrasound spectroscopy (RUS) measurements applied to granular high explosive materials at different bulk pressing densities and degree of thermal conditioning. The material chosen in this study is a ubiquitously used explosive material known as pentaerythritol tetranitrate (PETN), which is used commercially in civil and defense applications both as a binderized plastic bonded explosive material and an unbinderized neat material. However, changes in granular PETN bulk elastic properties due to thermal conditioning, which could have implications for better understanding environmental aging-related effects, have not been well studied even though it is believed that elasticity may play an important role in explosive material initiation mechanisms. Furthermore, monitoring elastic property changes in granular explosive pressings has not yet been demonstrated using RUS, which is an appealing non-destructive characterization tool that requires only dry point contact with the explosive material. To this end, we report the first study using RUS to quantify the elastic properties of binderized and neat PETN pressings as well as to quantify changes in elastic properties as a function of both thermal conditioning and bulk pressing density. Elastic stiffness coefficients, sometimes more commonly referred to as elastic constants, calculated from the RUS measurements on the different PETN-based materials show a significant increase for the post-conditioned samples compared to the pre-conditioned samples. This trend of increasing elastic properties with thermal conditioning was consistent for different density pressings, different thermal exposure conditions, and even different neat PETN pressings of differing average crystal sizes and/or specific surface areas.

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Section: Resultsmentioning

confidence: 99%

Demonstrating resonant ultrasound spectroscopy as a viable technique to characterize thermally conditioned high explosive materials

Lum,

Stobbe,

Mirkarimi

et al. 2024

Journal of Applied Physics

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“…However, knowing what defines a "good match" when comparing measured to model data can be a complicated analysis. Several uncertainty quantifications and analysis studies attempt to answer this question on similar geometries [7,12] and are currently underway for blade populations. …”

Section: Population Characteristicsmentioning

confidence: 99%

“…The model dimensions were varied for each simulation by creating a parameterized model in SolidWorks [10] and importing each geometry into ANSYS Design Modeler [11]. The material was modeled as a nickel-based superalloy (Mar-M-247), in an anisotropic single crystal (SX) state [6,12]. A Block Lanczos Eigen solver [11] was used to obtain the resonant frequencies for each FE model.…”

Section: Modelingmentioning

confidence: 99%

Detection and quantification of creep strain using process compensated resonance testing (PCRT) sorting modules trained with modeled resonance spectra

Heffernan

Biedermann

Mayes

et al. 2018

AIP Conference Proceedings

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Process compensated resonance testing modeling for damage evolution and uncertainty quantification AIP Conference Proceedings 1806, 090005 (2017) Abstract. Process Compensated Resonant Testing (PCRT) is a full-body nondestructive testing (NDT) method that measures the resonance frequencies of a part and correlates them to the part's material and/or damage state. PCRT testing is used in the automotive, aerospace, and power generation industries via automated PASS/FAIL inspections to distinguish parts with nominal process variation from those with the defect(s) of interest. Traditional PCRT tests are created through the statistical analysis of populations of "good" and "bad" parts. However, gathering a statistically significant number of parts can be costly and time-consuming, and the availability of defective parts may be limited. This work uses virtual databases of good and bad parts to create two targeted PCRT inspections for single crystal (SX) nickel-based superalloy turbine blades. Using finite element (FE) models, populations were modeled to include variations in geometric dimensions, material properties, crystallographic orientation, and creep damage. Model results were verified by comparing the frequency variation in the modeled populations with the measured frequency variations of several physical blade populations. Additionally, creep modeling results were verified through the experimental evaluation of coupon geometries. A virtual database of resonance spectra was created from the model data. The virtual database was used to create PCRT inspections to detect crystallographic defects and creep strain. Quantification of creep strain values using the PCRT inspection results was also demonstrated.

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Evaluation of elastic constants of particle accelerator cavity materials with Resonant Ultrasound Spectroscopy

Trachanas,

Bignami,

Gazis

et al. 2023

Nuclear Instruments and Methods in Physics Research Section A:

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Uncertainty quantification in modeling and measuring components with resonant ultrasound spectroscopy

Cited by 7 publications

References 5 publications

Demonstrating resonant ultrasound spectroscopy as a viable technique to characterize thermally conditioned high explosive materials

Demonstrating resonant ultrasound spectroscopy as a viable technique to characterize thermally conditioned high explosive materials

Detection and quantification of creep strain using process compensated resonance testing (PCRT) sorting modules trained with modeled resonance spectra

Evaluation of elastic constants of particle accelerator cavity materials with Resonant Ultrasound Spectroscopy

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