Vision – Service – Partnership Managed and Operated by National Security Technologies, LLC Nevada National Security Site

3D Visualization of MPDV Data

1

3D Visualization of MPDV Data Ding Yuan, Thomas Tunnel, David Esquibel and Daniel Marks

National Security Technologies, LLC

Los Alamos Operations P.O. Box 809, Los Alamos, NM 87544

For 7th Annual PDV Workshop

October 22‒23, 2012 Albuquerque, NM

This work was done by National Security Technologies, LLC, under

Contract No. DE-AC52-06NA25946 with the U.S. Department of Energy.

DOE/NV/25946--1633

Vision – Service – Partnership Managed and Operated by National Security Technologies, LLC Nevada National Security Site

3D Visualization of MPDV Data

2

Outline

1. Objectives 2. Major algorithm groups

1. Velocity time series normalization 2. In-line calculation of location, acceleration,

displacement and uncertainty 3. Grid interpolation 4. Instantaneous surface modeling 5. Instantaneous vector field modeling

3. Samples of 3D visualization 4. Samples of 4D visualization 5. Summary

Vision – Service – Partnership Managed and Operated by National Security Technologies, LLC Nevada National Security Site

3D Visualization of MPDV Data

3

Objectives

• When MPDV data of an object are acquired: – How to calculate and spatially interpolate other

relevant quantities from the velocity data, such as accelerations, displacement?

– How to calculate and visualize the coherent movement of the object (essentially displacement)?

– How to calculate and visualize the dynamic fields of the velocity and its derived measurements, such as accelerations and uncertainties?

Vision – Service – Partnership Managed and Operated by National Security Technologies, LLC Nevada National Security Site

3D Visualization of MPDV Data

4

Major Algorithm Groups

Geometry & Coordinates

Temporal Normalization

In-Line Calculation

Grid/Surface Modeling

Vector Field Modeling

2D Projection of MPDV Configuration

3D Visualization of MPDV Configurations

2D/4D Visualization of in-line Measurements

4D Visualization of Surface Dynamics

5D Visualization of Surface Vector Fields

Vision – Service – Partnership Managed and Operated by National Security Technologies, LLC Nevada National Security Site

3D Visualization of MPDV Data

5

Single Probe PDV Time Series

• In-line time series • May have

differences in beginning and ending times and sampling intervals.

• Many in-line quantities can be derived, such as acceleration, displacement, location ad uncertainty

1dv),,( zyx

w

v

PDV Probe

),,( 000 zyx

x

z

yu

Reference coordinate system

Initial Location

2dv

kdv

)0,0,0(

Vision – Service – Partnership Managed and Operated by National Security Technologies, LLC Nevada National Security Site

3D Visualization of MPDV Data

6

Sample MPDV Line of Sight Plot

Vision – Service – Partnership Managed and Operated by National Security Technologies, LLC Nevada National Security Site

3D Visualization of MPDV Data

7

Multiple Probe PDV Data

Multiple time series with respect to different probe directions.

xv

yv

zv

vdvθ

),,( zyx

w

uv

PDV

xvyv

zv

vdvθ

),,( zyx

xv

yv

zv

vdv θ

),,( zyx

Time Dependent

Surface

r

),,( 000 zyx

Vision – Service – Partnership Managed and Operated by National Security Technologies, LLC Nevada National Security Site

3D Visualization of MPDV Data

8

3D Visualization of MPDV Time Series

• Similar setup for the single time series from individual probes

• The MPDV time series need to be re-sampled in order to have the same time ticks

• Spatial interpolation is needed for visualizing surface movement

PDV Probes

1, 2, 3, 4, 5

Surface 0

Surface k

Vision – Service – Partnership Managed and Operated by National Security Technologies, LLC Nevada National Security Site

3D Visualization of MPDV Data

9

1) Resample and normalize the multiple PDV in-line velocity data series

2) Derive in-line surface location, displacement, acceleration, and uncertainty data

3) Construct instantaneous surface location (x, y, z) sampling data set with respect to a given time.

4) Interpolate a surface location function for the whole domain using the instantaneous surface sampling data

5) Plot the interpolated instantaneous surface location function obtained in Step 4.

6) Repeat Steps 3 to 5 for all sampling times in the normalized in-line surface location data (Dynamic View).

7) Other vector data can be overlaid on top of the instantaneous surface.

Key Steps for 3D Visualization

Vision – Service – Partnership Managed and Operated by National Security Technologies, LLC Nevada National Security Site

3D Visualization of MPDV Data

10

Surface Deformation– External View

• Surface deformation external view

Vision – Service – Partnership Managed and Operated by National Security Technologies, LLC Nevada National Security Site

3D Visualization of MPDV Data

11

Surface Deformation– External View

• Surface deformation external view with PDV probe locations

Vision – Service – Partnership Managed and Operated by National Security Technologies, LLC Nevada National Security Site

3D Visualization of MPDV Data

12

Surface Deformation- Cut View

• Surface deformation cut view

Vision – Service – Partnership Managed and Operated by National Security Technologies, LLC Nevada National Security Site

3D Visualization of MPDV Data

13

Surface Deformation- Cut View

• Surface deformation cut view with PDV probe locations

Vision – Service – Partnership Managed and Operated by National Security Technologies, LLC Nevada National Security Site

3D Visualization of MPDV Data

14

Surface Deformation-Velocity Field

• Surface deformation overlaid with velocity field and PDV probe locations

Vision – Service – Partnership Managed and Operated by National Security Technologies, LLC Nevada National Security Site

3D Visualization of MPDV Data

15

Surface Deformation- Acceleration Field

• Surface deformation overlaid with acceleration field and PDV probe locations

Vision – Service – Partnership Managed and Operated by National Security Technologies, LLC Nevada National Security Site

3D Visualization of MPDV Data

16

Surface Deformation- Uncertainty Field

• Surface deformation overlaid with uncertainty field and PDV probe locations

Vision – Service – Partnership Managed and Operated by National Security Technologies, LLC Nevada National Security Site

3D Visualization of MPDV Data

17

Summary • We are now able to (with MPDV)

– Derive and spatially interpolate velocity and other physical quantities of a deforming object

– Visualize the dynamics of the deformation of the object – Visualize the velocity and other physical quantities defined on

the deforming surface. • Unresolved issues exist

– PDV data calibrations – Uncertainty estimations – Grid calculation and interpolation – Physical measures, such as strain and stress

• Path forward – Refine and improve the algorithms – Expand physical quantity calculations – Explore PDV velocity calibrations