The invention relates to the technical field of
material analysis, and discloses a reinforcing
steel bar surface oxide structure composition microscale
analysis method, which comprises the following steps: obtaining a high-fidelity sample through a layered
inert protection
sample preparation technology, and sequentially analyzing
oxide microstructure and element distribution by adopting a
scanning electron microscope-
energy spectrum coupling technology, atomic-scale
crystal defect observation is realized by combining a
spherical aberration correction transmission
electron microscope, macroscopic
phase composition and
microcell chemical valence information are respectively acquired synchronously through X-
ray diffraction and X-
ray photoelectron
spectroscopy, and finally a cross-scale correlation model covering morphological characteristics,
crystal structures, phase distribution and chemical states is constructed through multi-
source data fusion. And micro-
scale structure analysis is realized. Through combination of a multi-source characterization technology,
steel bar oxide cross-scale analysis is realized, a high-fidelity
sample preparation technology is adopted to guarantee an original state of a sample, a
chloride ion diffusion quantitative model fused with
crystal defect parameters is constructed, and
rust layer protection evaluation is improved from qualitative observation to quantitative prediction.