FILTER
Bulk Data Entry Defines filtering rules for time history output request for an explicit analysis.
Format
| (1) | (2) | (3) | (4) | (5) | (6) | (7) | (8) | (9) | (10) |
|---|---|---|---|---|---|---|---|---|---|
| FILTER | FID | TYPE | Filter_type | PARAM1 | VALUE | PARAM2 | VALUE | ||
| PARAM3 | VALUE |
Example
| (1) | (2) | (3) | (4) | (5) | (6) | (7) | (8) | (9) | (10) |
|---|---|---|---|---|---|---|---|---|---|
| FILTER | 2 | TYPE | BUT2 | FDIV | 10.0 | FCUT | 100.0 | ||
| ALPH | 0.85 |
Definitions
| Field | Contents | SI Unit Example |
|---|---|---|
| FID | Identification number
for a unique FILTER entry. No default (Integer > 0) |
|
| TYPE | Flag indicating the
type of filter applied is to follow. No default (String) |
|
| Filter_type | Defines the type of
filter applied.
Default = BUT4 <String> |
|
| List of PARAMs | ||
| PARAMi | VALUE | |
| FDIV | Factor by which the
sampling/output frequency (computed from DTTH
in THIST card) is divided to find the cutoff
frequency. Default = 20.0 (Real > 0.0) |
|
| FCUT | Cut-off frequency for
Butterworth filters. No default (Real > 0.0) |
|
| ALPH | Weightage factor for
exponential filter. Default = 0.95 (0.0 < Real < 1.0) |
|
Comments
- Time history filtering can be applied to an explicit analysis output to remove any high frequency noise and even possibly reduce the size of output files by only saving data below a specified cut-off frequency. Exponential filter and 3 types of Butterworth filters are currently available.
- If no filter options are specified in a model with a FORCE output request, a FILTER card with default options is applied (only for the force output).