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  1. dnl If you do not know what a Gauss point is, pause here, grab a classical FEM book and resume when you do.
  2. dnl FEM is like magic to me. I can follow the whole derivation, from the strong, the weak and varitionals formulations down to the algebraic multigrid preconditioner for the inversion of the stiffness matrix passing through Sobolev spaces and the grid generatoin. Then I can sit down and code all these steps, including shape funcions, matrix assembly and computation of derivatives^{This is a task that if you can, you definitely have to do. Your time and effort will be highly rewarded in the not-so-far-away future.}. Yet, the fact that all these a-priori unconnected steps once gets a pretty picture that resembles reality is astonishing.
  3. tomen este cpitulo como una charla de café - imginacion! ecuaciones numeros plot 3d drawing intrctive 3d model, but still you have to imagine dericatives nd stress tensors... "thermal expansion gives normal stresses" and then picture out three arrows pulling away
  4. # Background and introduction
  5. Take this as a chat between you an me, i.e. an average engineer that have already taken the journey from college to actual engineering.
  6. Imagination! Try to picture how the results converge, and what they actually mean besides the pretty-colored figures.
  7. We will need your imagination. Equations, numbers, plot, schematics, 3d views, interactive rotable 3d models... but still, when the theory says "thermal expansion produces linear stresses" you have to picture in your head three little arrows pulling away from the same point in three directions.
  8. We will dig into some math. If you do not like equations, just ignore them for now. Read the text skipping them. It is fine (for now).
  9. Practice math! prsctise math! hace diferencia de cuadrados una vez por mes como si hicieras crucigramas, buscá los libros de analisis y de fisica y hacé los ejercicios
  10. ## Nuclear reactors, pressurized pipes and fatigue
  11. Piping systems in sensitive industries like nuclear or oil & gas should be designed and analysed following the recommendations of an appropriate set of codes and norms, such as the ASME\ Boiler and Pressure Vessel Code.
  12. This code of practice (book) was born during the late XIX century, before finite-element methods for solving partial differential equations were even developed, and much longer before they were available for the general engineering community. Therefore, much of the code assumes design and verification is not necessarily performed numerically but with paper and pencil. However, it still provides genuine guidance in order to ensure pressurised systems behave safely and properly without needing to resort to computational tools. Combining finite-element analysis (even plain linear equations) with the ASME code gives the cognizant engineer a unique combination of tools to tackle the problem of designing and/or verifying pressurised piping systems.
  13. In the years following Enrico Fermi’s demonstration that a self-sustainable fission reaction chain was possible, people started to build plants in order to transform the energy stored within the atoms nuclei into usable electrical power. They quickly reached the conclusion that high-pressure heat exchangers and turbines were needed. So they started to follow the ASME\ Boiler and Pressure Vessel Code. They also realised that some requirements did not fit the needs of the nuclear industry, but instead of writing a new code from scratch they added a new section to the existing body of knowledge: the celebrated ASME Section\ III\ [1].
  14. After further years passed by, people (probably the same characters as before) noticed that fatigue in nuclear power plants was not exactly the same as in other piping systems. There were some environmental factors directly associated to the power plant that was not taken into account by the regular ASME code. Again, instead of writing a new code from scratch, people decided to add correction factors to the previous body of knowledge. This is how knowledge evolves, and it is this kind of complexities that engineers are faced with during their professional lives. And, yes, it would be a very hard work to re-write everything from scratch every time something changes.
  15. # Solid mechanics, or what we are taught at college
  16. An infinite pipe subject to uniform internal pressure
  17. ecuación diferencial 1D -> appendix
  18. # Finite elements, or solving an actual engineering problem
  19. ## The name of the game
  20. FEM, FVM and FDM
  21. Simulation
  22. ## Why do you want to do FEA?
  23. five whys
  24. ## Computers, those little magic boxes
  25. https://www.springfieldspringfield.co.uk/view_episode_scripts.php?tv-show=the-simpsons&episode=s05e03
  26. ENIAC
  27. ### A brief review of history
  28. FEM, Computers
  29. graphics cards
  30. ### Hardware
  31. ### Software
  32. FOSS
  33. Avoid black boxes
  34. Reflections on trusting trust
  35. UNIX, scriptability, make programs to make programs (here a program is a calculation)
  36. front and back
  37. avoid monolithic
  38. # Nuclear-grade piping and ASME
  39. ## The infinite pipe revisited
  40. 3D full
  41. Quarter
  42. 2 grados
  43. 2D axysimmetric
  44. 1D collocation
  45. struct vs unstruct
  46. 1st vs 2nd
  47. complete vs incomplete (hexa)
  48. ## Linearity of displacements and stresses
  49. cantilever beam, principal stresses, linearity of von mises
  50. ### ASME stress linearization
  51. ### The relativity of wrong
  52. citar a asimov y al report de convergencia
  53. errors and uncertainties: model parameters (is E what we think? is the material linear?), geometry (does the CAD represent the reality?) equations (any effect we did not have take account), discretization (how well does the mesh describe the geometry?)
  54. ## Two (or more) materials
  55. ### Young and Poisson
  56. two cubes
  57. ## A parametric tee
  58. ## Temperature
  59. # Fatigue
  60. ## In air
  61. ## In water
  62. # Conclusions
  63. Back in College, we all learned how to solve engineering problems. But there is a real gap between the equations written in chalk on a blackboard (now probably in the form of beamer slide presentations) and actual real-life engineering problems. This chapter introduces a real case from the nuclear industry and starts by idealising the structure such that it has a known analytical solution that can be found in textbooks. Additional realism is added in stages allowing the engineer to develop an understanding of the more complex physics and a faith in the veracity of the FE results where theoretical solutions are not available. Even more, a brief insight into the world of evaluation of low-cycle fatigue using such results further illustrates the complexities of real-life engineering analysis.