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Smoothed finite element method

Smoothed finite element method is a chemistry topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Smoothed finite element method rather than just read about it. In short: Smoothed finite element methods (S-FEM) are a particular class of numerical simulation algorithms for the simulation of physical phenomena. It was developed by combining meshfree methods with the finite element method.

Key takeaways

  • Smoothed finite element method belongs to chemistry; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Smoothed finite element method to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Smoothed finite element method from memory before moving on to harder problems.

Reference excerpt

Smoothed finite element methods (S-FEM) are a particular class of numerical simulation algorithms for the simulation of physical phenomena. It was developed by combining meshfree methods with the finite element method. S-FEM are applicable to solid mechanics as well as fluid dynamics problems, although so far they have mainly been applied to the former.

Description The essential idea in the S-FEM is to use a finite element mesh (in particular triangular mesh) to construct numerical models of good performance. This is achieved by modifying the compatible strain field, or construct a strain field using only the displacements, hoping a Galerkin model using the modified/constructed strain field can deliver some good properties. Such a modification/construction can be performed within elements but more often beyond the elements (meshfree concepts): bring in the information from the neighboring elements. Naturally, the strain field has to satisfy certain conditions, and the standard Galerkin weak form needs to be modified accordingly to ensure the stability and convergence. A comprehensive review of S-FEM covering both methodology and applications can be found in ("Smoothed Finite Element Methods (S-FEM): An Overview and Recent Developments").

History The development of S-FEM started from the works on meshfree methods, where the so-called weakened weak (W2) formulation based on the G space theory were developed. The W2 formulation offers possibilities for formulate various (uniformly) "soft" models that works well with triangular meshes. Because triangular mesh can be generated automatically, it becomes much easier in re-meshing and hence automation in modeling and simulation. In addition, W2 models can be made soft enough (in uniform fashion) to produce upper bound solutions (for force-driving problems). Together with stiff models (such as the fully compatible FEM models), one can conveniently bound the solution from both sides. This allows easy error estimation for generally complicated problems, as long as a triangular mesh can be generated. Typical W2 models are the Smoothed Point Interpolation Methods (or S-PIM). The S-PIM can be node-based (known as NS-PIM or LC-PIM), edge-based (ES-PIM), and cell-based (CS-PIM). The NS-PIM was developed using the so-called SCNI technique. It was then discovered that NS-PIM is capable of producing upper bound solution and volumetric locking free. The ES-PIM is found superior in accuracy, and CS-PIM behaves in between the NS-PIM and ES-PIM. Moreover, W2 formulations allow the use of polynomial and radial basis functions in the creation of shape functions (it accommodates the discontinuous displacement functions, as long as it is in G1 space), which opens further rooms for future developments. The S-FEM is largely the linear version of S-PIM, but with most of the properties of the S-PIM and much simpler. It has also variations of NS-FEM, ES-FEM and CS-FEM. The major property of S-PIM can be found also in S-FEM.

List of S-FEM models Node-based Smoothed FEM (NS-FEM) Edge-based Smoothed FEM (ES-FEM) Face-based Smoothed FEM (FS-FEM) Cell-based Smoothed FEM (CS-FEM) Node/Edge-based Smoothed FEM (NS/ES-FEM) Alpha FEM method (Alpha FEM) Beta FEM method (Beta FEM)

Applications S-FEM has been applied to solve the following physical problems:

Mechanics for solid structures and piezoelectrics; Fracture mechanics and crack propagation; Nonlinear and contact problems; Stochastic analysis; Heat transfer; Structural acoustics; Adaptive analysis; Limited analysis; Crystal plasticity modeling.

Basic Formulation of S-FEM The fundamental problem addressed by SFEM is typically the solution of Poisson's equation with Dirichlet boundary conditions, given as follows: Δu+f=0 in Ω, u=g on ΓD where Ω is the domain and Γ is its boundary, consisting of ΓD=Γ. Here, u: Ω→R is the trial solution, f: Ω→R is a given function, and g represents Dirichlet boundary conditions. S-FEM involves discretizing the domain Ω using finite element meshes, which can be global or local. The global mesh represents the entire domain, while the local mesh is used to discretize regions requiring high resolution within the global domain. The local domain is assumed to be included in the global domain (ΩL​⊆ΩG).

Weak Formulation The weak form of the problem is derived by multiplying the equation by suitable test functions and integrating over the domain. In SFEM, the weak form is expressed as follows: Given f and g, find u∈U such that for all w∈V, aΩ​(w,u)=LΩ​(w) where aΩ is a bilinear form, and LΩ is a linear functional.

S-FEM Formulation In S-FEM, the trial solution u and test functions w are defined separately for the global (ΩG) and local (ΩL) domains. The trial solution spaces UG, UL and test function spaces VG, VL are defined accordingly. The weak form in the S-FEM formulation becomes: aΩ′​(w,u)=LΩ′​(w) where aΩ′​(⋅,⋅) and LΩ′​(⋅) are modified bilinear forms and linear functionals, respectively, to accommodate the S-FEM approach.

Challenges One of the primary challenges of S-FEM is the difficulty in exact integration of the submatrices representing the relationship between global and local meshes (KGL and KLG). Additionally, the matrix K can become singular, posing numerical challenges in solving the resulting linear algebraic equations. These challenges and potential solutions are discussed in detail in the literature, aiming to improve the efficiency and accuracy of S-FEM for various applications.

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Smoothed finite element method

Start with the simplest possible case. Write down what Smoothed finite element method claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In chemistry, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Smoothed finite element method before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Smoothed finite element method ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Smoothed finite element method

In research
Smoothed finite element method appears in chemistry research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Smoothed finite element method in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Smoothed finite element method is common in secondary-school and first-year university syllabi. It links to neighbouring topics Continuum mechanics, Finite element method, Numerical differential equations, so understanding it makes those chapters shorter.
In everyday life
Look for Smoothed finite element method outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Smoothed finite element method in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Smoothed finite element method means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Smoothed finite element method out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Smoothed finite element method in simple terms?

Smoothed finite element methods (S-FEM) are a particular class of numerical simulation algorithms for the simulation of physical phenomena. It was developed by combining meshfree methods with the finite element method.

Why does Smoothed finite element method matter?

Because it connects several chemistry ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Smoothed finite element method?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Smoothed finite element method.

Tags

  • Continuum mechanics
  • Finite element method
  • Numerical differential equations
  • Partial differential equations
  • Structural analysis

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