Quantifying deformation of a shape

In summary, Vivek is looking for a way to quantify deformation of a shape. He thinks that the Dice ratio or the mean strain in the white area may be a good way to go. He needs to do more research to verify this.
  • #1
gkiverm123
2
0
TL;DR Summary
Quantify deformation of a shape with single parameter
Hello all,

I hope this post is in the appropriate thread. Would anyone have any insight on a method to quantify deformation of a shape? For example, I attached two images of a white shape of interest at the center (one deformed and one undeformed). I'm trying to develop a metric/parameter (single number) that will quantify the degree to which the shape is being deformed.

One simple method would be to measure the reduction of area. However, this doesn't fully capture the deformation because sometimes the shape extends on the opposite side it is being deformed.

Thanks,
Vivek
 

Attachments

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  • undeformed.PNG
    undeformed.PNG
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  • #2
gkiverm123 said:
I’m trying to develop a metric/parameter (single number) that will quantify the degree to which the shape is being deformed.
How about the Dice ratio?

https://en.m.wikipedia.org/wiki/Sørensen–Dice_coefficient
gkiverm123 said:
this doesn't fully capture the deformation
No single parameter will fully capture something as complicated as deformation. You need to set your goal a little lower. You just want something that seems reasonable for the task
 
  • #3
gkiverm123 said:
I'm trying to develop a metric/parameter (single number) that will quantify the degree to which the shape is being deformed.
Here's an idea: If the black part is a homogeneous solid, then it is deformed along with the white inside shape. You could calculate (FEA) the strain in the black part, and average to get a mean strain for the entire black part. That mean strain would be both quantitative and nondimensional, and should reflect the degree to which the shape is deformed. Some work on your part is necessary to verify this.

Check for size effects of the white area. It may be necessary to scale by the size of the white area, or by some shape parameter such as the ratio of perimeter to white area. Or the white area raised to some power. More work on your part...

Another possibility is to treat the white area as a homogeneous solid, and calculate the mean strain of that area using FEA. And another possibility is to treat the white area as a homogeneous plastic solid of unit thickness, and calculate the total work to deform it. Divide by the volume or by the area to get a mean work. This would not be nondimensional, but would be quantitative.

Sounds like a fun project. Enjoy.
 

1. What is the purpose of quantifying deformation of a shape?

The purpose of quantifying deformation of a shape is to accurately measure and analyze changes in the shape of an object. This can be useful in various fields such as engineering, materials science, and biology to understand how forces and stresses affect the shape of an object.

2. How is deformation of a shape quantified?

Deformation of a shape is quantified by measuring the changes in the size, orientation, and position of specific points on the object. This can be done using various techniques such as strain gauges, optical methods, and computer simulations.

3. What is the difference between elastic and plastic deformation?

Elastic deformation is temporary and reversible, meaning that the object will return to its original shape once the applied forces are removed. Plastic deformation, on the other hand, is permanent and irreversible, causing the object to permanently change its shape.

4. Can deformation of a shape be predicted?

Yes, deformation of a shape can be predicted using mathematical models and simulations. These models take into account the material properties of the object, the applied forces, and the boundary conditions to accurately predict the amount and type of deformation that will occur.

5. What are some practical applications of quantifying deformation of a shape?

Quantifying deformation of a shape has many practical applications, such as in the design and testing of structures and materials, monitoring the health and performance of mechanical components, and understanding the behavior of biological tissues under stress.

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