In this paper,we present a method to expedite multi-wavelength photoelasticity for efficient stress analysis.By modulating two slightly different-wavelength illumination beams and simultaneously capturing dark-field a...In this paper,we present a method to expedite multi-wavelength photoelasticity for efficient stress analysis.By modulating two slightly different-wavelength illumination beams and simultaneously capturing dark-field and bright-field images,our approach acquires four essential polarized images.Spatial filtering of Fourier transforms streamlines inner stress computation,enabling multi-wavelength photoelasticity with a single detector exposure.Theoretical foundations are outlined,and proof-of-principle experiments validate the feasibility with a measurement error below 6.4%.The high measurement speed,determined by the detector’s frame rate,facilitates dynamic sample measurements at video frequency,offering promising advancements in material stress analysis.展开更多
基金supported by the National Natural Science Foundation of China(Nos.62205126 and 62305133)the Wuxi Science and Technology Development Fund Project(No.K20221016)+1 种基金the Fundamental Research Funds for the Central Universities(No.JUSRP123028)the Project of the Ministry of Industry and Information Technology of the People’s Republic of China(No.TC220H05L).
文摘In this paper,we present a method to expedite multi-wavelength photoelasticity for efficient stress analysis.By modulating two slightly different-wavelength illumination beams and simultaneously capturing dark-field and bright-field images,our approach acquires four essential polarized images.Spatial filtering of Fourier transforms streamlines inner stress computation,enabling multi-wavelength photoelasticity with a single detector exposure.Theoretical foundations are outlined,and proof-of-principle experiments validate the feasibility with a measurement error below 6.4%.The high measurement speed,determined by the detector’s frame rate,facilitates dynamic sample measurements at video frequency,offering promising advancements in material stress analysis.
