ID: 629
MODELING THIN LAYER HYPERELASTIC SOFT BIOLOGICAL TISSUES THROUGH MACRO-SPHERICAL COMPRESSION TESTS
L. K. TAPPERT1,2, C. DE OLIVEIRA CAFIERO1,2, A. BALDIT1,2, A.-S. BONNET1,2, P. LIPINSKI1
1LEM3-UMR-7239 CNRS - Univ. de Lorraine - Arts et Métiers ParisTech, France; 2ENIM, France
ID: 369
BIAXIAL STRETCH CAN HELP IN CORRECT INTERPRETATION OF COLLAGEN FIBRE ORIENTATION HISTOGRAMS
M. Turčanová1, J. Fischer1, M. Hermanová2, Z. Bednařík2, J. Burša1
1Brno University of Technology, Faculty of Mechanical Engineering, Czech Republic; 21st Department of Pathology, St. Anne’s University Hospital Brno, Czech Republic
ID: 367
IMPORTANCE OF STRUCTURAL PARAMETERS IN CONSTITUTIVE MODELS OF AORTA
J. Fischer1, M. Turčanová1, V. Man1, M. Hermanová2, Z. Bednařík2, J. Burša1
1Brno University of Technology, Faculty of Mechanical Engineering, Czech Republic; 21st Department of Pathology, St. Anne’s University Hospital Brno, Czech Republic
ID: 333
DEVICE INDUCED DAMAGE OF ARTERIAL PORCINE TISSUE
M. Oude Vrielink1, P. Timmermans1, B. Van de Wetering2, O. Van der Sluis1,3
1Philips Research, The Netherlands; 2LifeTec Group, The Netherlands; 3Eindhoven University of Technology, The Netherlands
ID: 298
ELUCIDATING THE MECHANICAL SIGNATURE OF DIFFERENT BRAIN LESIONS USING DYNAMIC NANOINDENTATION
U. Gautam1, P. Narwal2, A. Suri2, S. Roy1
1Department of Applied Mechanics, Indian Institute of Technology Delhi, India; 2Department of Neurosurgery, All India Institute Of Medical Science Delhi, India
ID: 546
EVALUATION OF VENTRICULAR STIFFNESS OF FROGS AND SNAKES
M. Ito1, V. D. Nguyen2, Y. Ogura1, S. Sugita1, M. Nakamura1, Y. Ujihara1
1Nagoya Institute of Technology, Japan; 2The University of Utah, USA
ID: 902
DEVELOPMENT OF A HUMAN WHOLE BODY MODEL TAKING INTO ACCOUNT THE CONNECTIVE TISSUE
H. Stark
Friedrich-Schiller-University Jena, Germany
ID: 590
BIOMECHANICAL IMPACT OF A SUBSEQUENT CHILDBIRTH ON THE FEMALE PELVIC FLOOR
D. Oliveira1, M. Campos2, R. Moura1
1INEGI, LAETA, & FEUP, Portugal; 2FEUP, Portugal
ID: 388
PREDICTING PELVIC FLOOR STRESSES DURING VAGINAL DELIVERY: A MACHINE LEARNING APPROACH
R. Moura1, D. Oliveira1, M. Parente2, R. Natal Jorge2
1Institute of Science and Innovation in Mechanical and Industrial Engineering, Portugal; 2Faculty of Engineering, University of Porto, Portugal
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