Nonlinear Acoustic Tomography for Measuring the Temperature and Velocity Fields by Using the Covariance Matrix Adaptation Evolution Strategy Algorithm

Zhang, Juqi; Qi, Hong; Ji, Yukun; Ren, Ya-Tao; He, Ming-Jian; Su, Mingxu; Cai, Xiaoshu

doi:10.1109/tim.2021.3130918

Cited by 11 publications

(6 citation statements)

References 44 publications

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“…However, the feasibility of simultaneous operation of multiple transducers in a limited space needs to be further verified. Meanwhile, Zhang [ 18 ] simultaneously reconstructed the temperature field and velocity field based on nonlinear acoustic tomography (NAT) by utilizing the covariance matrix adaptive evolution strategy (CMA-ES) algorithm considering the acoustic refraction effect, confirming the feasibility and validity of the CMA-ES algorithm in reconstructing the velocity field and temperature field at the same time.…”

Section: Introductionmentioning

confidence: 94%

“…From the above experimental conditions, the weights of the two sub-objectives in the objective E are calculated as ω 1 = 0.3604 and ω 2 = 0.6396, which results in (18) for the objective function E: E = 0.3604E 1 + 0. 6396E 2 (18) Combining the objective function E minimum as the optimization objective and the four optimization variables proposed in Section 3.2.1, PSO is used to optimize the division of the measured region within the circular area, and the radii of the five concentric circles after optimization are thus 0.7849, 1.5408, 2.8968, 4.0837, and 5.…”

Section: Experiments Based On Model Velocity Fieldsmentioning

confidence: 99%

“…From the above experimental conditions, the weights of the two sub-objectives in the objective 𝐸 are calculated as 𝜔 = 0.3604 and 𝜔 = 0.6396, which results in (18) for the objective function 𝐸:…”

Section: Experiments Based On Model Velocity Fieldsmentioning

confidence: 99%

See 2 more Smart Citations

Measured Regional Division Optimization for Acoustic Tomography Velocity Field Reconstruction in a Circular Area

Chen,

Zhou,

Zhu

et al. 2024

Sensors

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The acoustic tomography (AT) velocity field reconstruction technique has become a research hotspot in recent years due to its noninvasive nature, high accuracy, and real-time measurement advantages. However, most of the existing studies are limited to the reconstruction of the velocity field in a rectangular area, and there are very few studies on a circular area, mainly because the layout of acoustic transducers, selection of acoustic paths, and division of measured regions are more difficult in a circular area than in a rectangular area. Therefore, based on AT and using the reconstruction algorithm of the Markov function and singular value decomposition (MK-SVD), this paper proposes a measured regional division optimization algorithm for velocity field reconstruction in a circular area. First, an acoustic path distribution based on the multipath effect is designed to solve the problem of the limited emission angle of the acoustic transducer. On this basis, this paper proposes an adaptive optimization algorithm for measurement area division based on multiple sub-objectives. The steps are as follows: first, two optimization objectives, the condition number of coefficient matrix and the uniformity of acoustic path distribution, were designed. Then, the weights of each sub-objective are calculated using the coefficient of variation (CV). Finally, the measured regional division is optimized based on particle swarm optimization (PSO). The reconstruction effect of the algorithm and the anti-interference ability are verified through the reconstruction experiments of the model velocity field and the simulated velocity field.

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Section: Introductionmentioning

confidence: 94%

Section: Experiments Based On Model Velocity Fieldsmentioning

confidence: 99%

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Measured Regional Division Optimization for Acoustic Tomography Velocity Field Reconstruction in a Circular Area

Chen,

Zhou,

Zhu

et al. 2024

Sensors

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“…It provides an excellent data basis for the qualitative description of and quantitative research into fluid motion without disturbing the fluid motion. [3,4] In the past 20 years, many typical three-dimensional (3D) PIV techniques have been developed, among which stereoscopic PIV (stereo PIV) [5][6][7] and tomographic PIV (tomo PIV) [8][9][10] are representative and widely used techniques. In stereo PIV, two cameras are set at a certain angle to shoot the same area to be measured.…”

Section: Introductionmentioning

confidence: 99%

Three-dimensional color particle image velocimetry based on a cross-correlation and optical flow method

et al. 2023

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Rainbow particle image velocimetry (PIV) can restore three-dimensional (3D) velocity field of particles with a single camera, however, it requires a relatively long time to complete the reconstruction. This paper proposes a hybrid algorithm that combines the fast Fourier transform (FFT) based co-correlation algorithm and the Horn-Schunck (HS) optical flow pyramid iterative algorithm to improve the reconstruction speed. The Rankine vortex simulation experiment was performed. in which the particle velocity field was reconstructed using the proposed algorithm and the rainbow PIV method. The average endpoint error and average angular error of the proposed algorithm were roughly the same as those of the Rainbow PIV algorithm; nevertheless, the reconstruction time was 20% less. Furthermore, the effect of velocity magnitude and particle density on the reconstruction results was analyzed. In the end, the performance of the proposed algorithm was verified using real experimental single-vortex and double-vortex datasets, from which a similar particle velocity field was obtained compared with the Rainbow PIV algorithm. The results show that the reconstruction speed of the proposed hybrid algorithm was approximately one fourth faster than that of the Rainbow PIV algorithm.

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“…The measurement of target IR characteristics has received extensive attention in recent years. Infrared characteristics calculation of aircraft is mainly based on the thermodynamics and IR involved in fluid dynamics, materials science, and other multi-disciplinary theories [ 4 , 5 , 6 ]. Infrared characteristics calculations for aircraft are closely related to skin material properties, aerothermal effects, exhaust plume properties, and environmental conditions.…”

Section: Introductionmentioning

confidence: 99%

Integrated Infrared Radiation Characteristics of Aircraft Skin and the Exhaust Plume

Zhang

Jiang

et al. 2022

Materials

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Infrared radiation (IR) characteristics are important parameters for detecting, identifying, and striking military targets in the context of systematic countermeasures. Accurate calculation of IR characteristics for aircraft is significant for the simulation of war situations and the designation of combat strategy. In this work, integrated IR characteristics of aircraft skin and exhaust plume and their interaction are investigated by considering the reflection based on a bi-directional reflectance distribution function and various influence factors such as solar irradiation, ground reflection, aerodynamic heating, and projection radiation from the background. Combined with infrared emission and reflection characteristics of the skin, omnidirectional IR intensity distributions of 3−5 μm and 8−14 μm at different Mach numbers are obtained. The exhaust plume IR characteristic for different waves and wavebands are also investigated by considering the presence or absence of base and the difference in nozzle inlet temperature. On this basis, integrated IR characteristics between the skin and exhaust plume are investigated. Results show that aircraft IR characteristics of 3−5 μm are concentrated in the exhaust plume and high-temperature skin near the exhaust plume, while the signals of 8−14 μm are concentrated in the skin. The research results are expected to supply guidance for better detection and identification of typical flight targets.

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Nonlinear Acoustic Tomography for Measuring the Temperature and Velocity Fields by Using the Covariance Matrix Adaptation Evolution Strategy Algorithm

Cited by 11 publications

References 44 publications

Measured Regional Division Optimization for Acoustic Tomography Velocity Field Reconstruction in a Circular Area

Measured Regional Division Optimization for Acoustic Tomography Velocity Field Reconstruction in a Circular Area

Three-dimensional color particle image velocimetry based on a cross-correlation and optical flow method

Integrated Infrared Radiation Characteristics of Aircraft Skin and the Exhaust Plume

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