Unit Five: Numerical and Statistical Models Flashcards

1
Q

Basis or trial functions

A

an equation selected assuming a numerical solution to a boundary value problem can be had by summing the product of a coefficent and the selected function related to a primary variable over a set number of iterations.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Boundary methods

A

a numerical solution method for a boundary value problem that chooses functions which satisfy the governing partial differential equations exactly. The undetermined coefficients are then determined in the solution process such that the boundary conditions are approximately satisfied.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Volume methods

A

a numerical solution method for a boundary value problem that chooses functions which satisfy the boundary conditions exactly. The undetermined coefficients are then determined in the solution process such that the governing partial differential equations are approximately satisfied.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Collocation method

A

a method of deriving equations for undetermined coefficients where the sum of the basis functions is forced to reproduce the specified boundary conditions for boundary methods or to satisfy the governing differential equation for volume methods at a number of locations.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Partition method

A

a method of deriving equations for undetermined coefficients where the boundary surface for boundary methods or solution domain for volume methods is partitioned into elements or subregions and the numerical solution is forced to match in the average over each element.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Orthogonal method

A

a method of deriving equations for undetermined coefficients where 𝑁 linearly independent orthogonal functions are chosen and the difference between the numerical solution and the specified boundary conditions forced to be orthogonal to each of the functions.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Galerkin’s method

A

a method of deriving equations for undetermined coefficients where the basis functions, Pn (x), and N linearly independent orthogonal functions, Hm (x), are taken to be the same.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Method of least squares

A

a method of deriving equations for undetermined coefficients where the difference between the exact and approximate solutions is minimized. This technique has the advantage of converging as the number of basis functions is increased.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Rayleigh-Ritz method

A

an analytic method for obtaining an approximate solution to a boundary value
problem, similar to Galerkin’s method, except the function to be minimized can be any function of interest.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Finite elements

A

small discrete sections of a complex structural system to which simple elastic models can be applied, assembled together to model the complete structural system.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Nodes

A

locations at ends, corners or along edges in a finite element model where the discrete components of the finite element model are joined together.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Interpolation functions

A

functions used to interpolate displacements through an element given the displacements at nodes in finite element models.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Mass matrix

A

the relation between inertia force and acceleration of an element in Finite Element Models.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Stiffness matrix

A

the relation between force and displacement in an element in Finite Element Models.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Sommerfeld radiation condition

A

a theorem which states that as the distance from an acoustic source approaches infinite, the acoustic pressure vanishes.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Nonuniqueness/nonexistence

A

the phenomenon that occurs when the basis function used to generate a representation of the acoustic field of a source distribution over a surface sum to zero at certain discrete frequencies.

17
Q

Green’s function

A

a Green’s function is a mathematical tool used to solve partial differential equations. In particular it can be used in a boundary method approach to find a solution for the Helmholtz equation for various acoustics problems such as pressure distribution propagated from a monopole source.

18
Q

Pre-processor

A

a computing system element that converts engineering drawings of a structure to a grid of node locations for input to a finite element model.

19
Q

Mesh transition

A

a mesh that transitions between two different mesh sizes in a finite element model, often necessary when modelling complex structures.

20
Q

Post-processor

A

a computing system element used to generate a visual representation of the output of a finite element or boundary value analysis of a system.

21
Q

Line element

A

a component in a finite element model representing the connection between two nodes, possibly represented as a rod, a spring, or a beam.

22
Q

Surface element

A

a representation of a flat plate or curved shell component in a finite element model, formed from connecting a minimum of 3 nodes in a triangular configuration, or four nodes for a quadrangle configuration.

23
Q

Solid element

A

a four, five or six sided element with four, six or eight nodes, representing a volume in a thick structure that can be used to more accurately model the response through the thickness of the structure.

24
Q

Infinite element

A

an element introduced at unbounded edges of a finite element model to simulate an infinite model and prevent artificial reflections from the edge of the finite model.

25
Q

Strong coupling

A

a condition where undriven system components have little damping such that connected system components that are driven can easily transfer power to the undriven component, spreading the energy evenly throughout the system.

26
Q

Weak coupling

A

a condition where undriven system components have large damping such that connected system components that are driven cannot easily transfer power to the undriven component, and any energy that gets into the undriven components is quickly dissipated.

27
Q

Coupling loss factors

A

loss factors based on the connection between subsystems in a complete system, used to model the amount of power transferred between the subsystems.

28
Q

Power balance equations

A

equations used to decribe the accounting of power into and out of each subsystem to account for all power in the system.