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Juan Tomas Celigueta

dblp:03/10629 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2012
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Geometric modeling and processing · 67% Computer animation and physical simulation · 33%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer animation and physical simulation
deformable body simulation
0.112012
Cubical Mass-Spring Model Design Based on a Tensile Deformation Test and Nonlinear Material Model · IEEE Trans. Vis. Comput. Graph. 2012
Geometric modeling and processing › deformation modeling
mass-spring model
0.112012
Cubical Mass-Spring Model Design Based on a Tensile Deformation Test and Nonlinear Material Model · IEEE Trans. Vis. Comput. Graph. 2012

Methods — techniques the papers use, named apart from their topics

tensile deformation test · 0.1finite element method · 0.1
YearPublicationVenuePosition
2012 Cubical Mass-Spring Model Design Based on a Tensile Deformation Test and Nonlinear Material Model
abstract
Mass-Spring Models (MSMs) are used to simulate the mechanical behavior of deformable bodies such as soft tissues in medical applications. Although they are fast to compute, they lack accuracy and their design remains still a great challenge. The major difficulties in building realistic MSMs lie on the spring stiffness estimation and the topology identification. In this work, the mechanical behavior of MSMs under tensile loads is analyzed before studying the spring stiffness estimation. In particular, the performed qualitative and quantitative analysis of the behavior of cubical MSMs shows that they have a nonlinear response similar to hyperelastic material models. According to this behavior, a new method for spring stiffness estimation valid for linear and nonlinear material models is proposed. This method adjusts the stress-strain and compressibility curves to a given reference behavior. The accuracy of the MSMs designed with this method is tested taking as reference some soft-tissue simulations based on nonlinear Finite Element Method (FEM). The obtained results show that MSMs can be designed to realistically model the behavior of hyperelastic materials such as soft tissues and can become an interesting alternative to other approaches such as nonlinear FEM.
Gaizka San Vicente, Iker Aguinaga, Juan Tomas Celigueta
IEEE Trans. Vis. Comput. Graph.3