Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Constructing characteristic signals of head acceleration events in stock car racing.

Traffic injury prevention·2026
Same author

A bird's-eye view for future ionic thermoelectrics: from ions to products.

National science review·2026
Same author

Figure of merit for ionic thermoelectric materials.

National science review·2026
Same author

Validation and application of automated CT analysis to musculoskeletal profiling in MVC occupants.

Traffic injury prevention·2026
Same author

Head acceleration event frequency among drivers across track types in Stock Car Auto Racing.

Traffic injury prevention·2026
Same author

Reducing Video Verification Burden: Machine Learning Classification of Head Acceleration Events in Youth Football.

Research square·2026

Related Experiment Video

Updated: Jun 15, 2026

Three-dimensional Rendering and Analysis of Immunolabeled, Clarified Human Placental Villous Vascular Networks
09:33

Three-dimensional Rendering and Analysis of Immunolabeled, Clarified Human Placental Villous Vascular Networks

Published on: March 29, 2018

Finite element modeling of human placental tissue.

Mao Yu1, Sarah Manoogian, Stefan M Duma

  • 1Wake Forest University School of Medicine, USA.

Annals of Advances in Automotive Medicine. Association for the Advancement of Automotive Medicine. Annual Scientific Conference
|February 27, 2010
PubMed
Summary

Researchers developed a human placenta tissue model using finite element analysis (FE) and tension tests. This validated model accurately predicts placental tissue behavior under dynamic loading conditions, crucial for understanding crash impacts.

More Related Videos

Human Placental and Decidual Organ Cultures to Study Infections at the Maternal-fetal Interface
07:04

Human Placental and Decidual Organ Cultures to Study Infections at the Maternal-fetal Interface

Published on: July 21, 2016

Model Surgical Training: Skills Acquisition in Fetoscopic Laser Photocoagulation of Monochorionic Diamniotic Twin Placenta Using Realistic Simulators
09:51

Model Surgical Training: Skills Acquisition in Fetoscopic Laser Photocoagulation of Monochorionic Diamniotic Twin Placenta Using Realistic Simulators

Published on: March 21, 2018

Related Experiment Videos

Last Updated: Jun 15, 2026

Three-dimensional Rendering and Analysis of Immunolabeled, Clarified Human Placental Villous Vascular Networks
09:33

Three-dimensional Rendering and Analysis of Immunolabeled, Clarified Human Placental Villous Vascular Networks

Published on: March 29, 2018

Human Placental and Decidual Organ Cultures to Study Infections at the Maternal-fetal Interface
07:04

Human Placental and Decidual Organ Cultures to Study Infections at the Maternal-fetal Interface

Published on: July 21, 2016

Model Surgical Training: Skills Acquisition in Fetoscopic Laser Photocoagulation of Monochorionic Diamniotic Twin Placenta Using Realistic Simulators
09:51

Model Surgical Training: Skills Acquisition in Fetoscopic Laser Photocoagulation of Monochorionic Diamniotic Twin Placenta Using Realistic Simulators

Published on: March 21, 2018

Area of Science:

  • Biomechanics
  • Materials Science
  • Biomedical Engineering

Background:

  • Motor vehicle crashes are a significant cause of placental abruption and fetal loss.
  • Understanding the mechanical properties of placental tissue is vital for injury prevention and modeling.

Purpose of the Study:

  • To create and validate a Finite Element (FE) model of human placental tissue.
  • To characterize placental tissue behavior under dynamic loading conditions.

Main Methods:

  • Performed 64 uniaxial tension tests on human placental tissue at varying strain rates (7%, 70%, 700%/s).
  • Developed an FE model in LS-DYNA, optimizing material parameters using a multi-island genetic algorithm to match experimental data.
  • Calculated nominal stresses and strains from experimental force and displacement data.

Main Results:

  • Achieved good correlation between the FE model and experimental results.
  • The optimized FE model showed an average difference of only 2% in first principal stress compared to experimental data.
  • The study presents a detailed methodology for interpreting experimental data for material model development.

Conclusions:

  • The validated FE model accurately represents human placental tissue behavior under dynamic loading.
  • The derived material parameters are suitable for use in FE models simulating placental tissue response to impacts.
  • This research contributes to a better understanding of placental biomechanics in traumatic events.