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

Isochoric and Isobaric Processes01:21

Isochoric and Isobaric Processes

3.8K
A thermodynamic process that occurs at constant volume is called an isochoric process. According to the first law of thermodynamics, heat supplied or removed from the system is partially utilized to perform work and change the internal energy of the system. However, in an isochoric process, the volume remains constant. Hence, the work done by the system is zero. Therefore, the exchange of heat changes the internal energy of the system only. 
Suppose 1000 g of water is heated from 40...
3.8K
Unsymmetric Loading of Thin-Walled Members: Problem Solving01:07

Unsymmetric Loading of Thin-Walled Members: Problem Solving

233
The shear center of a channel section with uniform thickness, height, and width, is determined by computing the shear force in the member and calculating the moments of inertia of the sections.
To compute the shear forces, find the shear flow at a specific distance from the endpoint using the vertical shear and the moment of inertia values. The total shear force on the flange is calculated by integrating the shear flow from one end of the flange to the other.
Next, calculate the moments of...
233
Isothermal Processes01:21

Isothermal Processes

4.1K
A thermodynamic process that occurs at constant temperature is called an isothermal process. Heat slowly flows into the system or out of the system to maintain thermal equilibrium. Processes involving phase changes like water evaporation into steam or freezing water into ice at a constant temperature are examples of Isothermal Processes.
An ideal gas can also undergo isothermal expansion or compression.
For example, consider 1 mole of an ideal gas inside an isolated cylinder at initial volume V...
4.1K
Uniform Depth Channel Flow: Problem Solving01:18

Uniform Depth Channel Flow: Problem Solving

158
To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
158
Phase Transitions: Melting and Freezing02:39

Phase Transitions: Melting and Freezing

13.5K
Heating a crystalline solid increases the average energy of its atoms, molecules, or ions, and the solid gets hotter. At some point, the added energy becomes large enough to partially overcome the forces holding the molecules or ions of the solid in their fixed positions, and the solid begins the process of transitioning to the liquid state or melting. At this point, the temperature of the solid stops rising, despite the continual input of heat, and it remains constant until all of the solid is...
13.5K
Fluid Pressure over Curved Plate of Constant Width01:12

Fluid Pressure over Curved Plate of Constant Width

1.7K
When a curved plate of constant width is submerged in a liquid, the pressure acting normal to the plate varies continuously both in magnitude and direction. Calculating the magnitude and location of the resultant force at a point is often challenging for such cases. One of the methods to determine the resultant force and its location involves separately calculating the horizontal and vertical components of the resultant force. This complex calculation can be simplified by representing the...
1.7K

You might also read

Related Articles

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

Sort by
Same author

Ocean currents break up a tabular iceberg.

Science advances·2022
Same author

Ocean-induced melt volume directly paces ice loss from Pine Island Glacier.

Science advances·2021
Same author

A Generalized Interpolation Material Point Method for Shallow Ice Shelves. 2: Anisotropic Nonlocal Damage Mechanics and Rift Propagation.

Journal of advances in modeling earth systems·2021
Same author

Ice-shelf retreat drives recent Pine Island Glacier speedup.

Science advances·2021
Same author

Pervasive ice sheet mass loss reflects competing ocean and atmosphere processes.

Science (New York, N.Y.)·2020
Same author

Regularized Coulomb Friction Laws for Ice Sheet Sliding: Application to Pine Island Glacier, Antarctica.

Geophysical research letters·2019

Related Experiment Video

Updated: Oct 18, 2025

Determination of the Friction Coefficients of Icy Pavements Under Different Amounts of Snowfall
12:21

Determination of the Friction Coefficients of Icy Pavements Under Different Amounts of Snowfall

Published on: January 6, 2023

3.7K

A Generalized Interpolation Material Point Method for Shallow Ice Shelves. 1: Shallow Shelf Approximation and Ice

Alex Huth1,2, Ravindra Duddu3,4, Ben Smith5

  • 1Department of Earth and Space Sciences University of Washington Seattle WA USA.

Journal of Advances in Modeling Earth Systems
|October 1, 2021
PubMed
Summary

We developed a new numerical method, the generalized interpolation material point method (GIMPM), to accurately simulate ice flow dynamics. This GIMPM-SSA framework overcomes limitations of previous methods, enabling precise tracking of ice shelves and grounding lines.

Keywords:
damagefractureglaciologyice shelvesmaterial point methodparticle method

More Related Videos

Author Spotlight: Innovative Ice Cream Melting Behavior Analysis Through a Computer Vision System
08:02

Author Spotlight: Innovative Ice Cream Melting Behavior Analysis Through a Computer Vision System

Published on: October 4, 2024

2.7K
Visually Based Characterization of the Incipient Particle Motion in Regular Substrates: From Laminar to Turbulent Conditions
11:51

Visually Based Characterization of the Incipient Particle Motion in Regular Substrates: From Laminar to Turbulent Conditions

Published on: February 22, 2018

8.9K

Related Experiment Videos

Last Updated: Oct 18, 2025

Determination of the Friction Coefficients of Icy Pavements Under Different Amounts of Snowfall
12:21

Determination of the Friction Coefficients of Icy Pavements Under Different Amounts of Snowfall

Published on: January 6, 2023

3.7K
Author Spotlight: Innovative Ice Cream Melting Behavior Analysis Through a Computer Vision System
08:02

Author Spotlight: Innovative Ice Cream Melting Behavior Analysis Through a Computer Vision System

Published on: October 4, 2024

2.7K
Visually Based Characterization of the Incipient Particle Motion in Regular Substrates: From Laminar to Turbulent Conditions
11:51

Visually Based Characterization of the Incipient Particle Motion in Regular Substrates: From Laminar to Turbulent Conditions

Published on: February 22, 2018

8.9K

Area of Science:

  • Glaciology and Computational Fluid Dynamics
  • Numerical methods for geophysical flows
  • Ice sheet and ice shelf dynamics modeling

Background:

  • Accurate simulation of ice flow is crucial for understanding climate change impacts.
  • Existing methods like the standard material point method (sMPM) suffer from significant grid-crossing errors in shallow shelf approximation (SSA) simulations.
  • Tracking ice fronts and grounding lines at high resolution remains a challenge.

Purpose of the Study:

  • To develop and validate a novel numerical framework, the generalized interpolation material point method (GIMPM), for simulating ice flow under the shallow shelf approximation (SSA).
  • To address limitations of existing methods, particularly grid-crossing errors and difficulties in boundary tracking.
  • To enable efficient and accurate advection of state variables without diffusion errors.

Main Methods:

  • Implementation of the GIMPM, a particle-based method analogous to the finite element method, for solving SSA equations.
  • Development of novel numerical schemes for particle splitting and integration at domain boundaries.
  • Comparison of GIMPM-SSA with the standard material point method (sMPM) and a reweighted sMPM using 1-D and 2-D benchmark cases.

Main Results:

  • The GIMPM successfully mitigates severe grid-crossing errors inherent in sMPM simulations of SSA.
  • The GIMPM demonstrates superior accuracy compared to reweighted sMPM approaches.
  • Automated tracking of ice fronts and grounding lines at sub-element scales is achieved.
  • Efficient advection of history or internal state variables (e.g., ice thickness, damage) without diffusion errors is confirmed.

Conclusions:

  • The GIMPM-SSA framework is a viable and accurate tool for simulating ice sheet-shelf evolution.
  • This method offers significant advantages in boundary tracking and error-free advection of state variables.
  • The GIMPM represents a substantial advancement for high-fidelity ice flow modeling.