Data Acquisition for Specimen-Specific Computational Models

2009 ◽  
Author(s):  
Mariana E. Kersh ◽  
Heidi-Lynn Ploeg ◽  
Mike Shin ◽  
Eik Siggelkow ◽  
Marc Muenchinger
Keyword(s):  
Experimental Data ◽  
Computational Models ◽  
Mechanical Response ◽  
Imaging Techniques ◽  
Experimental Methods ◽  
Joint Models ◽  
Validation Data ◽  
Computing Power ◽  
Validation Of Models ◽  
Joint Biomechanics

Advances in medical imaging techniques and computing power have allowed for the creation of sophisticated joint models that include anatomical soft tissue geometries. However the models still require experimental data of the joint’s mechanical response in order to validate the model and accurately predict joint biomechanics. Experimental methods to acquire data of the joint’s mechanical response have a long history in biomechanics [1], but it has been found that the validation of models [2] based on previously collected experimental data has been difficult because of the large inter-specimen variability. A shift, therefore, has taken place emphasizing the development of specimen specific models. Our aim was to develop a method by which the mechanical response of the knee could be measured and used as input and validation data for a specimen specific computational model.

Deciphering the "Art" in Modeling and Simulation of the Knee Joint: Variations in Model Development

2021 ◽  
Author(s):  
Nynke B. Rooks ◽  
Marco T. Y. Schneider ◽  
Ahmet Erdemir ◽  
Jason P. Halloran ◽  
Peter J. Laz ◽  
...  
Keyword(s):  
Knee Joint ◽  
Computational Models ◽  
Model Development ◽  
Anatomical Landmarks ◽  
Coordinate Systems ◽  
Joint Models ◽  
Large Spread ◽  
Consistent Manner ◽  
Joint Biomechanics

Abstract The use of computational modeling to investigate knee joint biomechanics has increased exponentially over the last few decades. Developing computational models is a creative process where decisions have to be made, subject to the modelers' knowledge and previous experiences, resulting in the "art" of modeling. The long-term goal of the KneeHub project is to understand the influence of subjective decisions on the final outcomes and the reproducibility of computational knee joint models. In this paper, we report on the model development phase of this project, investigating model development decisions and deviations from initial modeling plans. Five teams developed computational knee joint models from the same dataset, and we compared each teams' initial uncalibrated models and their model development workflows. Variations in the software tools and modeling approaches were found, resulting in differences such as the representation of the anatomical knee joint structures in the model. The teams defined the boundary conditions in a consistent manner, and used the same anatomical coordinate system convention. However, deviations in the anatomical landmarks used to define the coordinate systems were present, resulting in a large spread in the kinematic outputs of the uncalibrated models. The reported differences and similarities in model development and simulation presented here illustrate the importance of the "art" of modeling and how subjective decision-making can lead to variation in model outputs. All teams deviated from their initial modeling plans, indicating that model development is a flexible process and difficult to plan in advance, even for experienced teams.

scholarly journals Ability of Constitutive Models to Characterize the Temperature Dependence of Rubber Hyperelasticity and to Predict the Stress-Strain Behavior of Filled Rubber under Different Defor Mation States

Polymers ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 369
Author(s):  
Xintao Fu ◽  
Zepeng Wang ◽  
Lianxiang Ma
Keyword(s):  
Experimental Data ◽  
Temperature Dependence ◽  
Mechanical Response ◽  
Constitutive Models ◽  
Uniaxial Tensile ◽  
Uniaxial Tensile Test ◽  
Chain Model ◽  
Stress Strain ◽  
Filled Rubber ◽  
Yeoh Model

In this paper, some representative hyperelastic constitutive models of rubber materials were reviewed from the perspectives of molecular chain network statistical mechanics and continuum mechanics. Based on the advantages of existing models, an improved constitutive model was developed, and the stress–strain relationship was derived. Uniaxial tensile tests were performed on two types of filled tire compounds at different temperatures. The physical phenomena related to rubber deformation were analyzed, and the temperature dependence of the mechanical behavior of filled rubber in a larger deformation range (150% strain) was revealed from multiple angles. Based on the experimental data, the ability of several models to describe the stress–strain mechanical response of carbon black filled compound was studied, and the application limitations of some constitutive models were revealed. Combined with the experimental data, the ability of Yeoh model, Ogden model (n = 3), and improved eight-chain model to characterize the temperature dependence was studied, and the laws of temperature dependence of their parameters were revealed. By fitting the uniaxial tensile test data and comparing it with the Yeoh model, the improved eight-chain model was proved to have a better ability to predict the hyperelastic behavior of rubber materials under different deformation states. Finally, the improved eight-chain model was successfully applied to finite element analysis (FEA) and compared with the experimental data. It was found that the improved eight-chain model can accurately describe the stress–strain characteristics of filled rubber.

An embedded-atom method interatomic potential for Pd–H alloys

2008 ◽  
Vol 23 (3) ◽  
pp. 704-718 ◽  
Author(s):  
X.W. Zhou ◽  
J.A. Zimmerman ◽  
B.M. Wong ◽  
J.J. Hoyt
Keyword(s):  
Computational Models ◽  
Mechanical Response ◽  
Hydrogen Diffusion ◽  
Interatomic Potential ◽  
Diffusion Mechanism ◽  
Miscibility Gap ◽  
Embedded Atom Method ◽  
Embedded Atom ◽  
Formidable Challenge ◽  
Embedded Atom Method Potential

Palladium hydrides have important applications. However, the complex Pd–H alloy system presents a formidable challenge to developing accurate computational models. In particular, the separation of a Pd–H system to dilute (α) and concentrated (β) phases is a central phenomenon, but the capability of interatomic potentials to display this phase miscibility gap has been lacking. We have extended an existing palladium embedded-atom method potential to construct a new Pd–H embedded-atom method potential by normalizing the elemental embedding energy and electron density functions. The developed Pd–H potential reasonably well predicts the lattice constants, cohesive energies, and elastic constants for palladium, hydrogen, and PdHx phases with a variety of compositions. It ensures the correct hydrogen interstitial sites within the hydrides and predicts the phase miscibility gap. Preliminary molecular dynamics simulations using this potential show the correct phase stability, hydrogen diffusion mechanism, and mechanical response of the Pd–H system.

Electrical Properties of Dislocations and Boundaries in Semiconductors

1982 ◽  
Vol 14 ◽  
Author(s):  
Hans J. Queisser
Keyword(s):  
Electrical Properties ◽  
Imaging Techniques ◽  
Experimental Methods ◽  
Actual Situation ◽  
Dangling Bond ◽  
Semiconductor Crystals ◽  
Capacitance Spectroscopy ◽  
Electron Microscopes ◽  
Regular Arrays ◽  
Electronic Behavior

ABSTRACTSimple models have been suggested to predict electronic properties of lattice defects in semiconductor crystals: dislocations ought to act via the acceptor character of dangling bonds, and small-angle grain boundaries ought to consist of regular arrays of dislocations. The actual situation in most semiconductors is, however, much more complicated. The observed electrical effects of dislocations do not confirm the dangling-bond concept, they are affected by dissociation and reconstruction. There appear to be differences between straight and kinked dislocations. Dislocations owe much of their electronic behavior to clouds and precipitates of impurities; oxygen in silicon plays a significant role. This review summarizes the present status of experimental methods and results, including luminescence and capacitance spectroscopy as well as mapping and imaging techniques using electron-microscopes.

Experimental Methodologies: Two Case Studies Investigating the Syntax- Discourse Interface

2013 ◽  
Vol 6 (1) ◽  
Author(s):  
Timothy Gupton ◽  
Tania Leal Méndez
Keyword(s):  
Experimental Data ◽  
Quantitative Data ◽  
Native Speaker ◽  
Experimental Methods ◽  
Experimental Investigations ◽  
Experimenter Bias ◽  
Current Article ◽  
Theoretical Syntax ◽  
Discourse Interface ◽  
L1 And L2

AbstractThe current article examines two experimental investigations of the syntaxdiscourse interface, which address theoretical questions in different ways: the first is an L1 investigation of Galician speakers in Gupton (2010) and the second is a dual investigation of L1 and L2 Spanish reported on in Leal Méndez & Slabakova (2011). These investigations gathered quantitative data via psycholinguistic tasks with accompanying audio utilizing the WebSurveyor platform. They involved counterbalanced designs and were followed by statistical analysis. While acknowledging that experimental data does not have primacy over intuitive data, the authors endorse the use of experimental methods of data elicitation (such as the ones already used in generative SLA research) in theoretical syntax in order to avoid experimenter bias and to get a more complete picture of native speaker intuition and competencies.

scholarly journals AN ATHEROSCLEROTIC CORONARY ARTERY PHANTOM FOR PARTICLE IMAGE VELOCIMETRY

2011 ◽  
Author(s):  
Jean Brunette ◽  
Rosaire Mongrain ◽  
Rosaire Mongrain ◽  
Adrian Ranga ◽  
Adrian Ranga ◽  
...  
Keyword(s):  
Experimental Data ◽  
Particle Image Velocimetry ◽  
Heart Attack ◽  
Computational Models ◽  
Particle Image ◽  
Flow Analysis ◽  
Novel Technique ◽  
Image Velocimetry ◽  
Inflammatory Processes ◽  
Injection Molded

Myocardial infarction, also known as a heart attack, is the single leading cause of death in North America. It results from the rupture of an atherosclerotic plaque, which occurs in response to both mechanical stress and inflammatory processes. In order to validate computational models of atherosclerotic coronary arteries, a novel technique for molding realistic compliant phantom featuring injection-molded inclusions and multiple layers has been developed. This transparent phantom allows for particle image velocimetry (PIV) flow analysis and can supply experimental data to validate computational fluid dynamics algorithms and hypothesis.

scholarly journals OECD-NEA Expert Group on Multi-Physics Experimental Data, Benchmarks and Validation

2018 ◽  
Author(s):  
Timothy Valentine ◽  
Kostadin Ivanov ◽  
Maria Avramova ◽  
Alessandro Petruzzi ◽  
Jean-Pascal Hudelot ◽  
...  
Keyword(s):  
Experimental Data ◽  
Nuclear Energy ◽  
Great Promise ◽  
Expert Group ◽  
Energy Agency ◽  
Validation Data ◽  
Task Forces ◽  
Spatial Domains ◽  
Physics Modeling ◽  
Physical Phenomena

High-fidelity, multi-physics modeling and simulation (M&S) tools are being developed and utilized for a variety of applications in nuclear science and technology and show great promise in their abilities to reproduce observed phenomena for many applications. Even with the increasing fidelity and sophistication of coupled multi-physics M&S tools, the underpinning models and data still need to be validated against experiments that may require a more complex array of validation data because of the great breadth of the time, energy and spatial domains of the physical phenomena that are being simulated. The expert group on Multi-Physics Experimental Data, Benchmarks and Validation (MPEBV) of the Nuclear Energy Agency (NEA) of the Organization for Economic Cooperation and Development (OECD) was formed to address the challenges with the validation of such tools. The work of the MPEBV expert group is shared among three task forces to fulfill its mandate and specific exercises are being developed to demonstrate validation principles for common industrial challenges. This paper describes the overall mission of the group, the specific objectives of the task forces, the linkages among the task forces, and the development of a validation exercise that focuses on a specific reactor challenge problem.

scholarly journals Estimating complexity of spike-wave discharges with largest Lyapunov exponent in computational models and experimental data

2020 ◽  
Vol 7 (2) ◽  
pp. 65-75
Author(s):  
T. M. Medvedeva ◽  
◽  
A. K. Lüttjohann ◽  
M. V. Sysoeva ◽  
G. van Luijtelaar ◽  
...  
Keyword(s):  
Experimental Data ◽  
Lyapunov Exponent ◽  
Computational Models ◽  
Largest Lyapunov Exponent ◽  
Spike Wave Discharges ◽  
Spike Wave

scholarly journals Role of smooth muscle activation in the static and dynamic mechanical characterization of human aortas

2022 ◽  
Vol 119 (3) ◽  
pp. e2117232119
Author(s):  
Giulio Franchini ◽  
Ivan D. Breslavsky ◽  
Francesco Giovanniello ◽  
Ali Kassab ◽  
Gerhard A. Holzapfel ◽  
...  
Keyword(s):  
Experimental Data ◽  
Smooth Muscle ◽  
Muscle Activation ◽  
Mechanical Response ◽  
Mechanical Characterization ◽  
Viscoelastic Behavior ◽  
Material Model ◽  
Suitable Material ◽  
Dynamic Mechanical

Experimental data and a suitable material model for human aortas with smooth muscle activation are not available in the literature despite the need for developing advanced grafts; the present study closes this gap. Mechanical characterization of human descending thoracic aortas was performed with and without vascular smooth muscle (VSM) activation. Specimens were taken from 13 heart-beating donors. The aortic segments were cooled in Belzer UW solution during transport and tested within a few hours after explantation. VSM activation was achieved through the use of potassium depolarization and noradrenaline as vasoactive agents. In addition to isometric activation experiments, the quasistatic passive and active stress–strain curves were obtained for circumferential and longitudinal strips of the aortic material. This characterization made it possible to create an original mechanical model of the active aortic material that accurately fits the experimental data. The dynamic mechanical characterization was executed using cyclic strain at different frequencies of physiological interest. An initial prestretch, which corresponded to the physiological conditions, was applied before cyclic loading. Dynamic tests made it possible to identify the differences in the viscoelastic behavior of the passive and active tissue. This work illustrates the importance of VSM activation for the static and dynamic mechanical response of human aortas. Most importantly, this study provides material data and a material model for the development of a future generation of active aortic grafts that mimic natural behavior and help regulate blood pressure.

scholarly journals Supplemental Material: Abrasion regimes in fluvial bedrock incision

2021 ◽  
Author(s):  
Alexander Beer ◽  
Michael Lamb
Keyword(s):  
Experimental Data ◽  
Experimental Methods

Additional details on the experimental methods, experimental data, Figs S1–S3, and Tables S1–S3.<br>

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