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Development of multibody soft tissue...

Paiva, Gavin Carson.

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Development of multibody soft tissue models and their tuning to experimental data: With a focus in the canine meniscus.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Development of multibody soft tissue models and their tuning to experimental data: With a focus in the canine meniscus./
Author:	Paiva, Gavin Carson.
Description:	74 p.
Notes:	Source: Masters Abstracts International, Volume: 49-03, page: 2020.
Contained By:	Masters Abstracts International49-03.
Subject:	Engineering, Biomedical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1483994
ISBN:	9781124399690

Development of multibody soft tissue models and their tuning to experimental data: With a focus in the canine meniscus.
Paiva, Gavin Carson.

Development of multibody soft tissue models and their tuning to experimental data: With a focus in the canine meniscus. - 74 p.

Source: Masters Abstracts International, Volume: 49-03, page: 2020.

Thesis (M.S.)--University of Missouri - Kansas City, 2010.

This study explores the application of multibody modeling techniques in an attempt to capture the flexible behavior of biological tissues inside of a rigid body mechanics software. To accomplish this, segmented multibody models of canine menisci were created and the parameters governing the interaction of adjacent segments were tuned to create an overall physiological meniscus behavior. To this extent an experiment was designed to determine whole meniscus deformation under a semi-physiological loading. Additionally, indentation testing of articular cartilage of the canine stifle was performed with the intent of calibrating a cartilage multibody model. The meniscus testing included both sinusoidal and linear ramp loading profiles as well as two separate boundary conditions. Design of Experiments was then used to minimize the error in the model relative to the sinusoidal trials and the ramp profiles were used for validation. While the method proved capable of representing the experimental behavior the optimized parameter sets did not correlate with each other as well as expected.

ISBN: 9781124399690Subjects--Topical Terms:

1017684
Engineering, Biomedical.

Development of multibody soft tissue models and their tuning to experimental data: With a focus in the canine meniscus.
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020 $a 9781124399690
035 $a (UMI)AAI1483994
035 $a AAI1483994
040 $a UMI $c UMI
100 1 $a Paiva, Gavin Carson. $3 1679990
245 1 0 $a Development of multibody soft tissue models and their tuning to experimental data: With a focus in the canine meniscus.
300 $a 74 p.
500 $a Source: Masters Abstracts International, Volume: 49-03, page: 2020.
500 $a Adviser: Trent Guess.
502 $a Thesis (M.S.)--University of Missouri - Kansas City, 2010.
520 $a This study explores the application of multibody modeling techniques in an attempt to capture the flexible behavior of biological tissues inside of a rigid body mechanics software. To accomplish this, segmented multibody models of canine menisci were created and the parameters governing the interaction of adjacent segments were tuned to create an overall physiological meniscus behavior. To this extent an experiment was designed to determine whole meniscus deformation under a semi-physiological loading. Additionally, indentation testing of articular cartilage of the canine stifle was performed with the intent of calibrating a cartilage multibody model. The meniscus testing included both sinusoidal and linear ramp loading profiles as well as two separate boundary conditions. Design of Experiments was then used to minimize the error in the model relative to the sinusoidal trials and the ramp profiles were used for validation. While the method proved capable of representing the experimental behavior the optimized parameter sets did not correlate with each other as well as expected.
590 $a School code: 0134.
650 4 $a Engineering, Biomedical. $3 1017684
650 4 $a Engineering, Mechanical. $3 783786
650 4 $a Biophysics, Biomechanics. $3 1035342
690 $a 0541
690 $a 0548
690 $a 0648
710 2 $a University of Missouri - Kansas City. $b Mechanical Engineering. $3 1679991
773 0 $t Masters Abstracts International $g 49-03.
790 1 0 $a Guess, Trent, $e advisor
790 1 0 $a Guess, Trent $e committee member
790 1 0 $a Thiagarajan, Ganesh $e committee member
790 1 0 $a King, Greg $e committee member
790 $a 0134
791 $a M.S.
792 $a 2010
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1483994