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Testing Finite Element Analysis Formulations

A comparison of Q1STc and Q1STc+ in engineering scenarios.

Njomza Pacolli, Ahmad Awad, Jannick Kehls, Bjorn Sauren, Sven Klinkel, Stefanie Reese, Hagen Holthusen

― 6 min read


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When it comes to engineering and physics, we often need to solve complex problems about how materials behave under stress. Engineers use a method called finite element analysis (FEA) to make sense of these difficulties. FEA helps them create models that simulate real-world physical behaviors. However, not all models are equal, and that’s where the debate between different element formulations comes into play.

The Basics of Finite Element Analysis

FEA is a technique that breaks down complex structures into smaller, simpler parts called elements. Think of it like slicing a cake into pieces to understand how the entire cake holds together. Each piece can be studied individually, and then the results can be put back together to understand the whole structure's behavior.

In our discussion, we focus on two specific element formulations: Q1STc and Q1STc+. Both are designed to handle the behavior of materials under different conditions, particularly in challenging scenarios like distorted meshes, which happen when the model doesn’t fit perfectly into the shape of the material being analyzed.

Patch Tests: The Measuring Stick

To gauge the accuracy of these formulations, engineers perform what are called patch tests. Imagine these tests as a pop quiz for the formulations. If an element passes the test, it suggests that it can be counted on to give good results in more complex situations.

The patch tests check if the formulations can accurately predict the behavior of materials when they are stretched or compressed. If they pass, it’s like getting a gold star in elementary school-nice and shiny, but really just a tiny reminder that more studies need to follow.

The Membrane Patch Test

One of the first tests engineers look at is the membrane patch test. This test examines how well the formulations handle a flat, thin surface under certain loads. The geometry of the test setup consists of a patch of elements arranged in a specific way. The edges of the patch are given certain movements, and then researchers look at how the interior elements respond.

During this test, Q1STc didn’t perform well at all. It struggled to maintain consistent stress across the elements, which is like trying to keep a bunch of balloons together in a windstorm. Q1STc+, on the other hand, handled the test much better, showing more consistent results. It’s akin to trying to hold onto just one balloon instead of a bunch.

The Solids Patch Test

Next up is the solids patch test, which is a bit more complex because it deals with three-dimensional shapes. Here, the formulations are tested further. Engineers apply similar movements to the edge nodes of a solid shape, and they look at how well the formulations can predict stress and strain across the entire structure.

Unfortunately for both formulations, the test results weren’t stellar. The analytical solution wasn’t achieved, meaning they didn’t meet expectations. It’s like studying hard and still failing the big test. Both Q1STc and Q1STc+ showed similar levels of inaccuracy, which didn’t inspire confidence in their reliability.

The Asymmetrically Notched Specimen: A Real World Example

Now that we’ve tested the formulations in controlled environments, let’s throw them into the wild! Enter the asymmetrically notched specimen, a real-world scenario that reflects more common structural issues. This specimen is like a brave little soldier facing the battlefield of loads and stresses.

In this test, the specimen is fixed at one end and then pulled from the other. Engineers want to see if the formulations can still perform well despite the challenging conditions. They apply some random distortion to the elements to mimic real-world imperfections. Think of it as intentionally making a cake a bit uneven to see how it would hold up under pressure.

The results were eye-opening. Q1STc showed a tendency to fail under some loads, while Q1STc+ managed to keep its cool. Even when the mesh was distorted, Q1STc+ produced reliable results. It’s like the difference between a nervous public speaker and a seasoned performer who thrives under pressure.

Performance Under Plastic Behavior

In addition to testing stress, it’s also essential to see how these models handle materials that change shape permanently-what engineers call plastic behavior. Just as a putty can be stretched and squished, materials can sometimes deform in ways that are permanent.

The tests continued with both formulations subjected to elasto-plastic materials. The normal forces acting on the nodes were compared, and while Q1STc struggled to keep up, Q1STc+ stood firm, showing a solid connection to the expected results. It was clear that in dealing with complex material behaviors, Q1STc+ was the preferred choice.

Convergence Studies: The Importance of Mesh Density

One interesting aspect of FEA is that the quality of the mesh can significantly influence the results. Engineers conduct convergence studies to determine the minimum mesh density needed for reliable results. They start with a coarse mesh and gradually increase the density to see when the results stabilize.

During these studies, a particular mesh density was noticed as a standard reference. The idea is that if the results converge closely enough, engineers can confidently assert that the chosen formulation is reliable. But if it doesn’t stabilize, it’s a heads-up that there might be a problem.

The Result of Mesh Distortion

As we focused on mesh distortion, Q1STc struggled with precision during different loading conditions. When the mesh was altered in various directions, Q1STc+ remained resilient, clearly outperforming its counterpart. It's like having two athletes, one who trains for unexpected events, while the other only practices in perfect conditions.

Final Thoughts on Formulations

In the end, the Q1STc+ formulation has proven its worth across numerous tests. It outperformed Q1STc in critical areas, especially in handling distorted meshes and complex material behaviors. The results from the asymmetrically notched specimen and various convergence studies show it is a more reliable choice for engineers when modeling complex structures.

So, the next time someone brings up the virtues of finite element analysis, just remember that sometimes, a little extra effort and a better approach can lead to far superior results. It’s just like baking a cake; you might need to tweak the recipe for a light, fluffy finish instead of a dense, unappetizing blob. And, who doesn’t want a delicious, well-structured dessert, right?

Original Source

Title: An enhanced single Gaussian point continuum finite element formulation using automatic differentiation

Abstract: This contribution presents an improved low-order 3D finite element formulation with hourglass stabilization using automatic differentiation (AD). Here, the former Q1STc formulation is enhanced by an approximation-free computation of the inverse Jacobian. To this end, AD tools automate the computation and allow a direct evaluation of the inverse Jacobian, bypassing the need for a Taylor series expansion. Thus, the enhanced version, Q1STc+, is introduced. Numerical examples are conducted to compare the performance of both element formulations for finite strain applications, with particular focus on distorted meshes. Moreover, the performance of the new element formulation for an elasto-plastic material is investigated. To validate the obtained results, a volumetric locking-free reference element based on scaled boundary parametrization is used. Both the implementation of the element routine Q1STc+ and the corresponding material subroutine are made accessible to the public at https://doi.org/10.5281/zenodo.14259791

Authors: Njomza Pacolli, Ahmad Awad, Jannick Kehls, Bjorn Sauren, Sven Klinkel, Stefanie Reese, Hagen Holthusen

Last Update: 2024-12-03 00:00:00

Language: English

Source URL: https://arxiv.org/abs/2412.02309

Source PDF: https://arxiv.org/pdf/2412.02309

Licence: https://creativecommons.org/licenses/by/4.0/

Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.

Thank you to arxiv for use of its open access interoperability.

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