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

Typical Model Studies01:30

Typical Model Studies

433
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
433
Design Example: Creating a Hydraulic Model of a Dam Spillway01:21

Design Example: Creating a Hydraulic Model of a Dam Spillway

284
Scaled hydraulic models of dam spillways provide a practical way to replicate and study the intricate flow dynamics of these structures. Often built to a 1:15 ratio, these models allow for observing critical water behavior, such as velocity distribution, flow patterns, and energy dissipation.
284
Major Losses in Pipes01:28

Major Losses in Pipes

1.2K
When a fluid flows through a pipe, it experiences energy losses due to frictional resistance along the pipe walls, known as major losses. These energy losses result in a pressure drop, which varies based on the flow conditions — whether laminar or turbulent — and the specific physical properties of the fluid and pipe.
Fluid flow can be classified as laminar or turbulent, primarily based on the Reynolds number. This dimensionless number reflects the relative influence of inertial to...
1.2K
Design Consideration01:22

Design Consideration

314
Designing a structure involves a series of considerations, primarily the material's ultimate strength, calculated through tests that measure changes under increased force until the material reaches its breaking point or limit. The ultimate load, where the material breaks, is divided by its original cross-sectional area, resulting in the ultimate normal stress or strength. The ultimate shearing stress is another significant factor taken into account.
The factor of safety is another key...
314

You might also read

Related Articles

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

Sort by
Same author

Modeling ventilation heterogeneity in lung fibrosis.

Medical & biological engineering & computing·2026
Same author

On the Durability Performance of Two Adhesives to Be Used in Bonded Secondary Structures for Offshore Wind Installations.

Materials (Basel, Switzerland)·2024
Same author

Mechanical Performance of Adhesive Connections in Structural Applications.

Materials (Basel, Switzerland)·2023
Same author

Development of Temperature-Controlled Shear Tests to Reproduce White-Etching-Layer Formation in Pearlitic Rail Steel.

Materials (Basel, Switzerland)·2022
Same author

Stress shielding at the bone-implant interface: Influence of surface roughness and of the bone-implant contact ratio.

Journal of orthopaedic research : official publication of the Orthopaedic Research Society·2020
Same author

Micromechanical modeling of the contact stiffness of an osseointegrated bone-implant interface.

Biomedical engineering online·2019

Related Experiment Video

Updated: Sep 1, 2025

Quantitative Hardness Measurement by Instrumented AFM-indentation
08:21

Quantitative Hardness Measurement by Instrumented AFM-indentation

Published on: November 22, 2016

9.7K

Numerical Assessment of Damage Parameters for a Hard Interface Model.

Maria Letizia Raffa1, Raffaella Rizzoni2, Frédéric Lebon3

  • 1Laboratoire QUARTZ EA 7393, ISAE-Supméca, 93400 Saint-Ouen-sur-Seine, France.

Materials (Basel, Switzerland)
|August 12, 2022
PubMed
Summary

This study numerically assesses parameters for hard interface models, crucial for simulating thin elastic layers. Macroscopic experimental data helps interpret damage energy threshold and viscosity in structural adhesives.

Keywords:
adhesiveanalytical modellingidentificationimperfect interfacemicro-cracking

More Related Videos

Data Acquisition Protocol for Determining Embedded Sensitivity Functions
07:46

Data Acquisition Protocol for Determining Embedded Sensitivity Functions

Published on: April 20, 2016

6.2K
A Contusive Model of Unilateral Cervical Spinal Cord Injury Using the Infinite Horizon Impactor
07:28

A Contusive Model of Unilateral Cervical Spinal Cord Injury Using the Infinite Horizon Impactor

Published on: July 24, 2012

19.7K

Related Experiment Videos

Last Updated: Sep 1, 2025

Quantitative Hardness Measurement by Instrumented AFM-indentation
08:21

Quantitative Hardness Measurement by Instrumented AFM-indentation

Published on: November 22, 2016

9.7K
Data Acquisition Protocol for Determining Embedded Sensitivity Functions
07:46

Data Acquisition Protocol for Determining Embedded Sensitivity Functions

Published on: April 20, 2016

6.2K
A Contusive Model of Unilateral Cervical Spinal Cord Injury Using the Infinite Horizon Impactor
07:28

A Contusive Model of Unilateral Cervical Spinal Cord Injury Using the Infinite Horizon Impactor

Published on: July 24, 2012

19.7K

Area of Science:

  • Computational mechanics
  • Materials science
  • Adhesion science

Background:

  • Adhesive interface models simplify thin elastic layer simulations, avoiding computationally expensive volumetric methods.
  • Parameter identification in these models is challenging due to the small scale of direct observation.

Purpose of the Study:

  • To numerically assess two key parameters: damage energy threshold and damage viscosity.
  • To provide physical interpretation for these parameters within a hard interface model.

Main Methods:

  • Utilized a previously formulated hard interface model.
  • Employed a numerical assessment protocol using macroscopic experimental data from structural adhesives.

Main Results:

  • Successfully performed a numerical assessment of the damage energy threshold and damage viscosity parameters.
  • Gained insights into the physical meaning and interpretation of these model parameters.

Conclusions:

  • The numerical assessment protocol effectively aids in understanding hard interface model parameters.
  • Macroscopic data is valuable for calibrating and interpreting models of thin elastic layers and adhesive interfaces.