scholarly journals Uncertainty quantification in subject‐specific estimation of local vessel mechanical properties

2021 ◽  
Author(s):  
Bruno V. Rego ◽  
Dar Weiss ◽  
Matthew R. Bersi ◽  
Jay D. Humphrey
Keyword(s):  
Mechanical Properties ◽  
Uncertainty Quantification ◽  
Subject Specific

scholarly journals Uncertainty quantification in subject-specific estimation of local vessel mechanical properties

2021 ◽  
Author(s):  
Bruno V Rego ◽  
Dar Weiss ◽  
Matthew R Bersi ◽  
Jay D Humphrey
Keyword(s):  
Mechanical Properties ◽  
Uncertainty Quantification ◽  
Inverse Modeling ◽  
Quantitative Estimation ◽  
Small Animal ◽  
Image Correlation ◽  
Model Parameters ◽  
Parameter Uncertainties ◽  
Local Point ◽  
Subject Specific

Quantitative estimation of local mechanical properties remains critically important in the ongoing effort to elucidate how blood vessels establish, maintain, or lose mechanical homeostasis. Recent advances based on panoramic digital image correlation (pDIC) have made high-fidelity 3D reconstructions of small-animal (e.g., murine) vessels possible when imaged in a variety of quasi-statically loaded configurations. While we have previously developed and validated inverse modeling approaches to translate pDIC-measured surface deformations into biomechanical metrics of interest, our workflow did not heretofore include a methodology to quantify uncertainties associated with local point estimates of mechanical properties. This limitation has compromised our ability to infer biomechanical properties on a subject-specific basis, such as whether stiffness differs significantly between multiple material locations on the same vessel or whether stiffness differs significantly between multiple vessels at a corresponding material location. In the present study, we have integrated a novel uncertainty quantification and propagation pipeline within our inverse modeling approach, relying on empirical and analytic Bayesian techniques. To demonstrate the approach, we present illustrative results for the ascending thoracic aorta from three mouse models, quantifying uncertainties in constitutive model parameters as well as circumferential and axial tangent stiffness. Our extended workflow not only allows parameter uncertainties to be systematically reported, but also facilitates both subject-specific and group-level statistical analyses of the mechanics of the vessel wall.

A printability assessment framework for fabricating low variability nickel-niobium parts using laser powder bed fusion additive manufacturing

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bing Zhang ◽  
Raiyan Seede ◽  
Austin Whitt ◽  
David Shoukr ◽  
Xueqin Huang ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Additive Manufacturing ◽  
Uncertainty Quantification ◽  
Process Optimization ◽  
Powder Bed Fusion ◽  
Assessment Framework ◽  
Laser Powder Bed Fusion ◽  
Content Type ◽  
Powder Bed ◽  
Analytical Thermal Model

Purpose There is recent emphasis on designing new materials and alloys specifically for metal additive manufacturing (AM) processes, in contrast to AM of existing alloys that were developed for other traditional manufacturing methods involving considerably different physics. Process optimization to determine processing recipes for newly developed materials is expensive and time-consuming. The purpose of the current work is to use a systematic printability assessment framework developed by the co-authors to determine windows of processing parameters to print defect-free parts from a binary nickel-niobium alloy (NiNb5) using laser powder bed fusion (LPBF) metal AM. Design/methodology/approach The printability assessment framework integrates analytical thermal modeling, uncertainty quantification and experimental characterization to determine processing windows for NiNb5 in an accelerated fashion. Test coupons and mechanical test samples were fabricated on a ProX 200 commercial LPBF system. A series of density, microstructure and mechanical property characterization was conducted to validate the proposed framework. Findings Near fully-dense parts with more than 99% density were successfully printed using the proposed framework. Furthermore, the mechanical properties of as-printed parts showed low variability, good tensile strength of up to 662 MPa and tensile ductility 51% higher than what has been reported in the literature. Originality/value Although many literature studies investigate process optimization for metal AM, there is a lack of a systematic printability assessment framework to determine manufacturing process parameters for newly designed AM materials in an accelerated fashion. Moreover, the majority of existing process optimization approaches involve either time- and cost-intensive experimental campaigns or require the use of proprietary computational materials codes. Through the use of a readily accessible analytical thermal model coupled with statistical calibration and uncertainty quantification techniques, the proposed framework achieves both efficiency and accessibility to the user. Furthermore, this study demonstrates that following this framework results in printed parts with low degrees of variability in their mechanical properties.

Subject-specific mechanical properties of vertebral cancellous bone assessed using a low-dose X-ray device

IRBM ◽  
2010 ◽  
Vol 31 (3) ◽  
pp. 148-153 ◽  
Author(s):  
E. Sapin de Brosses ◽  
K. Briot ◽  
S. Kolta ◽  
W. Skalli ◽  
C. Roux ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Cancellous Bone ◽  
Low Dose ◽  
X Ray ◽  
Subject Specific ◽  
Vertebral Cancellous Bone

Uncertainty Quantification and Sensitivity Analysis for In-plane Thermo-mechanical Properties of 3-D Textile Composites

2022 ◽  
Author(s):  
Muhammad Ridlo Erdata Nasution ◽  
Pramudita S. Palar ◽  
Bambang K. Hadi ◽  
Djarot Widagdo ◽  
Lavi Zuhal ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Sensitivity Analysis ◽  
Uncertainty Quantification ◽  
Textile Composites

31 Subject-Specific Mechanical Properties of Cancellous Bone Assessment Using Low-Dose X-Ray Devices

2009 ◽  
Vol 12 (1) ◽  
pp. 111 ◽  
Author(s):  
E. Sapin ◽  
K. Briot ◽  
S. Kolta ◽  
C. Roux ◽  
W. Skalli ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Cancellous Bone ◽  
Low Dose ◽  
X Ray ◽  
Subject Specific ◽  
Bone Assessment

scholarly journals On the Relative Relevance of Subject-Specific Geometries and Degeneration-Specific Mechanical Properties for the Study of Cell Death in Human Intervertebral Disk Models

2015 ◽  
Vol 3 ◽  
Author(s):  
Andrea Malandrino ◽  
José M. Pozo ◽  
Isaac Castro-Mateos ◽  
Alejandro F. Frangi ◽  
Marc M. van Rijsbergen ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Cell Death ◽  
Intervertebral Disk ◽  
Subject Specific

Dependence of Human Lumbar Vertebral Trabecular Bone (HVTB) Mechanical Anisotropy Ratio on QCT–Based Apparent Density

2013 ◽  
Author(s):  
Ameet Aiyangar ◽  
Juan Vivanco ◽  
Anthony Au ◽  
Paul Anderson ◽  
Everett Smith ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Trabecular Bone ◽  
Apparent Density ◽  
Quantitative Computed Tomography ◽  
Transversely Isotropic ◽  
Mechanical Anisotropy ◽  
Anisotropy Ratio ◽  
Fabric Tensor ◽  
Clinical Resolution ◽  
Subject Specific

Obtaining bone mechanical properties from clinical resolution quantitative computed tomography (QCT)-derived localized apparent density presents the most attractive, available tool for developing subject-specific finite element (FE) bone models. While QCT density is a good predictor of the mechanical properties of HVTB [1, 2], knowledge of the fabric tensor (anisotropy ratio) can substantially improve prediction [3] and accuracy of CT-based continuum FE models [4]. Unfortunately, resolution of currently available clinical CT scanners is inadequate for mapping the fabric tensor of HVTB, which is known to be at least transversely isotropic [5]. Furthermore, trabecular bone mechanical anisotropy ratio has been shown to vary with density [2].

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