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

Plastic Behavior01:21

Plastic Behavior

795
A material's elastic behavior is characterized by the disappearance of stress once the load is removed, allowing the material to return to its original state. However, when stress surpasses the yield point, yielding commences, marking the onset of plastic deformation or permanent set. This change from elastic to plastic behavior is influenced by the peak stress value and the duration before the load is removed. An intriguing observation occurs when a specimen is loaded, unloaded, and...
795
Bending of Members Made of Several Materials01:11

Bending of Members Made of Several Materials

770
In analyzing a structural member composed of two different materials with identical cross-sectional areas, it is crucial to understand how their distinct elastic properties affect the member's response under load. The analysis involves assessing stress and strain distributions using the transformed section concept, which accounts for variations in material properties.
Hooke's Law determines stress in each material, stating that stress is proportional to strain but varies due to each material's...
770
Yield Criteria for Ductile Materials under Plane Stress01:25

Yield Criteria for Ductile Materials under Plane Stress

778
In designing structural elements and machine parts using ductile materials, it is crucial to ensure that these components withstand applied stresses without yielding. Yielding is initially determined through a tensile test, which evaluates the material's response to uniaxial stress. However, tensile stress is insufficient when components face biaxial or plane stress conditions This condition requires advanced criteria to predict failure.
The Maximum Shearing Stress Criterion, also known as...
778
Stress-Strain Diagram - Ductile Materials01:24

Stress-Strain Diagram - Ductile Materials

2.7K
The stress-strain relationship in ductile materials such as structural steel or aluminium is intricate and progresses through several stages. When a specimen is loaded, it initially exhibits a linear length increase, depicted by a steep straight line on the stress-strain diagram. It indicates the material is elastically deforming and will return to its original shape once unloaded. However, when a critical stress value is reached, plastic deformation begins. This stage sees substantial...
2.7K
Members Made of Elastoplastic Material01:19

Members Made of Elastoplastic Material

513
The behavior of elastoplastic materials under bending stresses, particularly in structural members with rectangular cross-sections, is crucial for predicting material responses and understanding failure modes. Initially, when a bending moment is applied, the stress distribution across the section follows Hooke's Law and is linear and elastic. This distribution means the stress increases from the neutral axis to the maximum at the outer fibers, up to the elastic limit.
As the bending moment...
513
Plastic Deformations01:14

Plastic Deformations

706
It is essential to understand how structural members behave under plastic deformation when the bending stress exceeds the material's yield strength. This state of deformation permanently alters the shape of the member, in contrast to the linear elastic behavior observed before yielding. The strain at any point in the member is expressed in terms of maximum strain. Notably, the neutral axis, which coincides with the centroid during elastic bending, shifts away from the centroid under plastic...
706

You might also read

Related Articles

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

Sort by
Same author

The developing tendon and enthesis are hypoxic and rely on hypoxia-inducible factor 1a during postnatal development.

Development (Cambridge, England)·2026
Same author

Outcomes of Laser Retinopexy for Retinal Tears by Fellow-Eye Detachment History.

Ophthalmology. Retina·2026
Same author

Recommendations for genetic counseling for individuals at risk of autosomal dominant Alzheimer's disease in Latin America.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same author

Endophthalmitis caused by gram-negative bacteria: etiologies, antibiotic susceptibilities, and treatment outcomes.

Journal of ophthalmic inflammation and infection·2026
Same author

Automated detection of stereotyped animal sounds using data augmentation and transfer learning.

Scientific reports·2026
Same author

Real-time drug release monitoring from acoustically responsive scaffolds.

Ultrasonics sonochemistry·2026
Same journal

Steady and oscillatory propulsion in reactive swimming droplets.

Soft matter·2026
Same journal

Axial forces in capillary liquid bridges of polymer solutions.

Soft matter·2026
Same journal

Dual-mode pH-programmable enzymatic hydrogel system for on-demand glucose generation.

Soft matter·2026
Same journal

Loading iron(III)porphyrin as the gas/anion binding site into methylated β-cyclodextrin-incorporated polymer hydrogels.

Soft matter·2026
Same journal

Disorder-induced persistent random motion and trapping of microswimmers.

Soft matter·2026
Same journal

Metal-ion induced coacervation of a short peptide under acidic conditions.

Soft matter·2026
See all related articles

Related Experiment Video

Updated: Apr 16, 2026

A Coupled Experiment-finite Element Modeling Methodology for Assessing High Strain Rate Mechanical Response of Soft Biomaterials
11:28

A Coupled Experiment-finite Element Modeling Methodology for Assessing High Strain Rate Mechanical Response of Soft Biomaterials

Published on: May 18, 2015

13.1K

Hierarchical Bayesian constitutive model selection for high-strain-rate soft material characterization.

Victor Sanchez1, Sawyer Remillard1, Bachir A Abeid2

  • 1School of Engineering, Brown University, Providence, RI 02912, USA. mauro_rodriguez@brown.edu.

Soft Matter
|April 15, 2026
PubMed
Summary
This summary is machine-generated.

Characterizing soft materials at high strain rates is crucial. A new Bayesian model selection method with Inertial Microcavitation Rheometry improves mechanical property analysis and reduces uncertainty in soft, viscoelastic materials.

More Related Videos

Intermediate Strain Rate Material Characterization with Digital Image Correlation
07:59

Intermediate Strain Rate Material Characterization with Digital Image Correlation

Published on: March 1, 2019

7.7K
Artificial Thermal Ageing of Polyester Reinforced and Polyvinyl Chloride Coated Technical Fabric
07:48

Artificial Thermal Ageing of Polyester Reinforced and Polyvinyl Chloride Coated Technical Fabric

Published on: January 29, 2020

7.1K

Related Experiment Videos

Last Updated: Apr 16, 2026

A Coupled Experiment-finite Element Modeling Methodology for Assessing High Strain Rate Mechanical Response of Soft Biomaterials
11:28

A Coupled Experiment-finite Element Modeling Methodology for Assessing High Strain Rate Mechanical Response of Soft Biomaterials

Published on: May 18, 2015

13.1K
Intermediate Strain Rate Material Characterization with Digital Image Correlation
07:59

Intermediate Strain Rate Material Characterization with Digital Image Correlation

Published on: March 1, 2019

7.7K
Artificial Thermal Ageing of Polyester Reinforced and Polyvinyl Chloride Coated Technical Fabric
07:48

Artificial Thermal Ageing of Polyester Reinforced and Polyvinyl Chloride Coated Technical Fabric

Published on: January 29, 2020

7.1K

Area of Science:

  • Materials Science
  • Biophysics
  • Mechanical Engineering

Background:

  • Characterizing soft, tissue-like materials under ultra-high-strain-rate conditions is vital for engineering and medicine.
  • Existing microcavitation techniques face challenges with measurement noise and parameter estimation uncertainty.
  • Accurate material property determination requires robust methods for soft materials under extreme conditions.

Purpose of the Study:

  • To address limitations in microcavitation techniques for soft material characterization.
  • To develop a hierarchical Bayesian model selection method for Inertial Microcavitation Rheometry (IMR).
  • To accurately determine constitutive models and material parameters for soft viscoelastic materials.

Main Methods:

  • Employed a hierarchical Bayesian model selection framework with Inertial Microcavitation Rheometry (IMR).
  • Utilized a weighted Gaussian likelihood with a hierarchical noise scale for uncertainty quantification.
  • Incorporated physically informed priors to penalize complex models and ensure model parsimony.

Main Results:

  • The method successfully explored constitutive model parameter spaces for laser-induced microcavitation bubble oscillations.
  • Probabilistic model selection provided initial estimates for maximum a posteriori (MAP) material parameters.
  • Synthetic tests and experimental data from gelatin, fibrin, polyacrylamide, and agarose showed accurate model reproduction and consistent cross-institutional results.

Conclusions:

  • The developed Bayesian method enhances the fidelity of soft material characterization at ultra-high strain rates.
  • It effectively quantifies uncertainty and selects the most credible constitutive models for viscoelastic hydrogels.
  • This approach offers a robust and consistent framework for material property determination across different institutions.