BS EN 4861:2020
$167.15
Aerospace series. Metrological assessment procedure for kinematic fields measured by digital image correlation
Published By | Publication Date | Number of Pages |
BSI | 2020 | 40 |
This document specifies the monitoring of mechanical tests and inspections performed both at the material (coupon) and at the structural scale by the implementation of kinematic field measurements by digital image correlation. This document describes an in situ method for evaluating the metrological performance of an extensometer system using image correlation for the delivery of displacement fields, and by extrapolation, of deformation fields. It can be implemented prior to the actual start of the test (or inspection). It will inform of the metrological performance in testing conditions.
This document allows the metrological performance of the measuring technology to be quantified. The methodology described herein is not to be considered as a calibration step. This reference document does not exhaustively specify the constitutive elements of a generic system of Digital Image Correlation measurement. This reference does not address the measurement of 3D shapes via stereocorrelation systems.
PDF Catalog
PDF Pages | PDF Title |
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2 | undefined |
6 | 1 Scope 2 Normative references 3 Terms and definitions |
7 | 4 Symbols and abbreviations 5 Principle |
8 | 6 System for the assessment of the metrological performance 6.1 Principle 6.2 Traceability of metrological performance assessment 7 Pre-assessment inspection 7.1 Aim 7.2 Records of the inspection 7.3 Identification of extensometer system elements |
9 | 8 Measurement of physical pixel size 8.1 Case of monovision measurements ā software procedure 8.2 Case od monovision measurements ā manual procedure 8.3 Case of monovision measurements ā identification during the performance assessment procedure 8.4 Case of stereovision measurements 9 Metrological assessment process 9.1 Environmental considerations 9.1.1 General 9.1.2 Lightning conditions |
10 | 9.1.3 Case of artificial random speckle pattern 9.2 Calibration increments |
12 | 9.3 Process for metrological performance assessment 9.4 Determination of the extensometer system characteristics 9.4.1 General 9.4.2 Resolution |
13 | 9.4.3 Bias error 9.4.3.1 Relative bias error and relative bias error field 9.4.3.2 Absolute bias error and absolute bias error field 10 Classification of the extensometer system 10.1 Input data 10.2 Analysis of the data |
14 | 10.3 Classification criteria 10.4 Assessment of the results |
15 | 11 Uncertainty determination 11.1 Uncertainty of the metrological performance assessment 11.2 Uncertainty budget determination 12 Metrological performance assessment intervals for extensometer systems 13 Metrological performance assessment certificates 13.1 Mandatory information |
16 | 13.2 Data presentation |
17 | Annex A (informative)Uncertainty of measurement A.1 Introduction |
18 | A.2 Calibration apparatus |
19 | A.3 Resolution A.4 Repeatability A.5 Relative mean error of the extensometer system A.6 Expanded uncertainty |
20 | A.7 Typical values of uncertainty A.8 Example of uncertainty budget for extensometric system |
23 | Annex B (informative)Classification of the system for the assessment of the metrological performance |
24 | Annex C (normative)Covariance and covariance matrix |
30 | Annex D (informative)Template for metrological assessment report for kinematic fields measured by digital image correlation D.1 Extensometer system identification D.2 Principle D.3 Date of metrological assessment D.4 Controller D.5 System configuration |
31 | D.6 System for the assessment of the metrological performance D.7 Assessment plan |
33 | D.8 Results ā resolution evaluation |
34 | D.9 Results ā class field D.10 Synthesis |
37 | Annex E (informative)Alternative approach for optical model identification in the caseof monovision measurements E.1 Measurements |
38 | E.2 Picture |