Digital Photoelastic Stress Field Analysis Method Based on SANet

Fig. 5. Simulation data test results of three methods. (a) Wrapped isochromatic; (b)-(d) QGPU+SD; (e)-(g) DLPU+SD; (h)-(j) SANet; (k)-(m) ground truth

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Fig. 6. Noise data test results of three methods. (a) Wrapped isochromatic; (b)-(d) QGPU+SD; (e)-(g) DLPU+SD; (h)-(j) SANet (without noise trained); (k)-(m) SANet; (n)-(p) ground truth

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Fig. 7. Three indicator values of SANet model changed with noise. (a) MSE; (b) PSNR; (c) SSIM

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Fig. 8. Test results of radial compression discs in actual scenarios. (a) Wrapped isochromatic; (b)-(d) QGPU+SD; (e)-(g) DLPU+SD; (h)-(j) SANet; (k)-(m) ground truth

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Fig. 9. Test results of materials with different d and f. (a) Wrapped isochromatic; (b) output of SANet; (c) SANet output multiplied by scaling factor; (d) ground truth

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Table 1. Training set parameters
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Table 1. Training set parameters
Parameter Value
R /mm 10-30
P /kN 30-300
f /（N·mm^-1） 7.222
d /mm 4.8
Resolution /（pixel×pixel） 256×256
Noise standard deviation /rad 0-0.5

Table 2. Comparison of calculation results between SANet and phased processing methods
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Table 2. Comparison of calculation results between SANet and phased processing methods
Method MSE PSNR SSIM
$σ_{x}$ $σ_{y}$ $τ_{x y}$ $σ_{x}$ $σ_{y}$ $τ_{x y}$ $σ_{x}$ $σ_{y}$ $τ_{x y}$
QGPU+SD 1.64 5.49 1.13 13.51 20.67 28.85 0.84 0.91 0.93
DLPU+SD 0.89 1.06 0.02 11.37 18.35 41.56 0.69 0.79 0.97
SANet 0.02 0.05 0.01 43.09 45.72 45.55 0.98 0.99 0.97

Table 3. Indicator values of noise test results

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Table 3. Indicator values of noise test results

Method	MSE			PSNR			SSIM
Method	$σ_{x}$	$σ_{y}$	$τ_{x y}$	$σ_{x}$	$σ_{y}$	$τ_{x y}$	$σ_{x}$	$σ_{y}$	$τ_{x y}$
QUPU+SD	2.42	6.32	1.09	10.19	11.02	24.54	0.36	0.37	0.78
DLPU+SD	0.92	1.60	0.02	11.28	16.11	38.18	0.53	0.60	0.92
SANet （without noise trained）	0.39	1.65	0.68	22.90	21.80	32.10	0.32	0.53	0.32
SANet	0.03	0.06	0.01	41.40	42.70	44.81	0.95	0.92	0.94

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Haoxing He, Niannian Chen, Ling Wu, Yong Fan, Xuejiao Zhang, Chuan Qiu. Digital Photoelastic Stress Field Analysis Method Based on SANet[J]. Acta Optica Sinica, 2024, 44(13): 1312002

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