This measurement is equivalent to <ahref="https://en.wikipedia.org/wiki/Deformation_(mechanics)#Engineering_strain"target="_blank">

Cauchy strain or engineering strain</a> of the distance constraints on this system.

Increasing the <b>Axial Strength</b> will tighten these constraints and

Increasing the <b>Axial Stiffness</b> will tighten these constraints and

lower the error in the simulation.<br/>

<br/>

To visualize the error of each vertex graphically, select <b>Strain Visualization</b> under <b>Mesh Material</b>

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@@ -1195,7 +1195,7 @@

in the simulation. <br/>

<br/>

<b>Axial Stiffness</b> is the stiffness of the distance constraints. Increasing axial

stiffness will decrease the strain in the simulation, but it will also slow down the solver. <br/>

stiffness will decrease the stretching/compression (strain) in the simulation, but it will also slow down the solver. <br/>

<br/>

Fold and facet stiffnesses correspond to two types of angular constraints. <b>Fold Stiffness</b> is the stiffness of the mountain

and valley creases in the origami pattern. <b>Facet Stiffness</b> is the stiffness of the triangulated faces between

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@@ -1203,12 +1203,12 @@

As facet stiffness becomes very high, this simulation approaches a <ahref="http://www.tsg.ne.jp/TT/cg/TachiFreeformOrigami2010.pdf"target="_blank">

rigid origami simulation</a>, and models the behavior of a rigid material (such as metal) when folded.<br/>

<br/>

Internally, constraints stiffnesses are scaled by the length of the edge associated with that constraint to determine its <i>geometric stiffness</i>. For Axial constaints, stiffness is

Internally, constraint stiffnesses are scaled by the length of the edge associated with that constraint to determine its <i>geometric stiffness</i>. For Axial constaints, stiffness is

divided by length and for angular constraints, stiffness is multiplied by length.<br/>

<br/>

Since this is a dynamic simulation, vertices of the origami move with some notion of acceleration and velocity. In order to

keep the system stable and help it converge to a static solution, <atarget="_blank"href="https://en.wikipedia.org/wiki/Harmonic_oscillator#Damped_harmonic_oscillator">

damping</a> is added to the distance constraints. The <b>Damping</b> slider allows you to control the amount of damping

damping</a> is applied to slow the motion of the vertices. The <b>Damping</b> slider allows you to control the amount of damping

present in the simulation, from 0 (no damping) to 1 (critical damping). Decreasing damping makes the simulation more "springy".

It may be useful to temporarily turn down damping to help the simulation more quickly converge towards its static solution - especially