A recently developed Projection-based Digital Image Correlation (P-DVC)
method is here extended to 4D (space and time) displacement field measurement
and mechanical identification based on a single radiograph per loading step
instead of volumes as in standard DVC methods. Two levels of data reductions
are exploited, namely, reduction of the data acquisition (and time) by a factor
of 1000 and reduction of the solution space by exploiting model reduction
techniques. The analysis of a complete tensile elastoplastic test composed of
127 loading steps performed in 6 minutes is presented. The 4D displacement
field as well as the elastoplastic constitutive law are identified. Keywords:
Image-based identification, Model reduction, Fast 4D identification, In-situ
tomography measurements. INTRODUCTION Identification and validation of
increasingly complex mechanical models is a major concern in experimental solid
mechanics. The recent developments of computed tomography coupled with in-situ
tests provide extremely rich and non-destructive analyses [1]. In the latter
cases, the sample was imaged inside a tomograph, either with interrupted
mechanical load or with a continuously evolving loading and on-the-fly
acquisitions (as ultra-fast X-ray synchrotron tomography, namely, 20 Hz full
scan acquisition for the study of crack propagation [2]). Visualization of fast
transformations, crack openings, or unsteady behavior become accessible.
Combined with full-field measurements, in-situ tests offer a quantitative basis
for identifying a broad range of mechanical behavior.Comment: SEM 2019, Jun 2019, Reno, United State