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Chapter 13 Nonlinear Simulations
1
Chapter 13
Nonlinear Simulations
13.1 Basics of Nonlinear Simulations
13.2 Step-by-Step: Translational Joint
13.3 Step-by-Step: Microgripper
13.4 More Exercise: Snap Lock
13.5 Review
Chapter 13 Nonlinear Simulations
Section 13.1 Basics of Nonlinear Simulations
2
Section 13.1
Basics of Nonlinear Simulations
Key Concepts

Contact Types

Contact versus Target

Nonlinearities

Contact Formulations

Causes of Structural Nonlinearities

Additional Contact Settings


Steps, Substeps, and Iterations
Pinball Region

Newton-Raphson Method

Interface Treatment

Force/Displacement Convergence

Time Step Controls

Solution Information

Update Stiffness

Line Search
Chapter 13 Nonlinear Simulations
Section 13.1 Basics of Nonlinear Simulations
3
Nonlinearities
e
}

[1] In a linear
simulation, [
K
]
(slope of the line)
is constant.
In a nonlinear simulation, the
relation between nodal force {
F
} and
nodal displacement {
D
} is nonlinear.

we may write
Displacement {D}

{ }
=
{ }
K
(
D
)


Challenges of nonlinear simulations
come from the difficulties of solving
the above equation.
e
}
[2] In a nonlinear
simulation, [
K
] (slope
of the curve) is
changing with {
D
}.
Displacement {D}
 Chapter 13 Nonlinear Simulations
Section 13.1 Basics of Nonlinear Simulations
4
Causes of Structural Nonlinearities

Geometry Nonlinearity

Due to Large Deflection

Topology Nonlinearity

Contact Nonlinearity

Etc.

Material Nonlinearity

Due to Nonlinear Stress-Strain
Relations
To include geometry
nonlinearity, simply
turn on <Large
Deflection>.
Chapter 13 Nonlinear Simulations
Section 13.1 Basics of Nonlinear Simulations
5
Steps, Substeps, and Iterations
[1] Number of
steps can be
specified here.

Steps (Load Steps)

Each step can have its own analysis settings.

Substeps (Time Steps)

In dynamic simulations, time step is used
for integration over time domain.
[2] To switch
between steps,
type a step number
here.

In static simulation, dividing into substeps is
to achieve or enhance convergence.

Iterations (Equilibrium Iterations)

Each iteration involves solving a linearized
equilibrium equation.
[3] Each step
can have its
own analysis
settings.
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