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Yes, it's a very good feeling when you're able to figure something out. Sometimes, that's my only motivation as an engineering student.
 
Originally posted by: TecHNooB
Yes, it's a very good feeling when you're able to figure something out. Sometimes, that's my only motivation as an engineering student.

i'm not even in class right now (on co-op, actually). i'm just doing this cause i'm interested 😀
 
Originally posted by: Fenixgoon
yes technically it's not infinitely small, but that's the idea behind it. just like numerical analysis - it's an approximation that often is infinitely close, but not really the "real" thing.
FEA will give the exact solution to the model selected if the solution space is properly constructed. Like I said, you can achieve this in a number of ways, the most common of which are uniform h-extension (increasing the element density - the least efficient method) and p-extension (increasing the polynomial degree - more efficient, but still not ideal). The optimal method is a combination of the two, often called hp-extension, in which the polynomial degree is increased (often adaptively) and the mesh is refined in a geometric fashion rather than uniformly (again, often adaptively). So, if I were looking at the bending of a beam, I know that the exact solution is cubic (IIRC). I will therefore get the exact solution if I use a single element with a third-order polynomial. Or, I can get an approximate solution that is very close to the exact solution by making lots and lots of linear (first-order polynomial) elements. The first method will actually give the exact solution while the latter will not, but the latter will come close enough for any engineering calculation if I increase the mesh density sufficiently.
 
Originally posted by: CycloWizard
Originally posted by: Fenixgoon
yes technically it's not infinitely small, but that's the idea behind it. just like numerical analysis - it's an approximation that often is infinitely close, but not really the "real" thing.
FEA will give the exact solution to the model selected if the solution space is properly constructed. Like I said, you can achieve this in a number of ways, the most common of which are uniform h-extension (increasing the element density - the least efficient method) and p-extension (increasing the polynomial degree - more efficient, but still not ideal). The optimal method is a combination of the two, often called hp-extension, in which the polynomial degree is increased (often adaptively) and the mesh is refined in a geometric fashion rather than uniformly (again, often adaptively). So, if I were looking at the bending of a beam, I know that the exact solution is cubic (IIRC). I will therefore get the exact solution if I use a single element with a third-order polynomial. Or, I can get an approximate solution that is very close to the exact solution by making lots and lots of linear (first-order polynomial) elements. The first method will actually give the exact solution while the latter will not, but the latter will come close enough for any engineering calculation if I increase the mesh density sufficiently.

intaresting... i have much to learn 😀😀
 
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