Damage assessment of aircraft wing subjected to blast wave with finite element method and artificial neural network tool

Zhang, Meng-tao; Pei, Yang; Yao, Xin; Ge, Yuxue

doi:10.1016/j.dt.2022.05.010

Cited by 10 publications

(4 citation statements)

References 32 publications

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“…The test data are shown in Table 3, where the unit of the damaged area of the warhead fragments penetrating the target is mm 2 . According to Tables 2 and 3, when the distance between the equivalent target plate and the projectile explosion position is 41.8 m, the probability of intersection between the warhead fragments and the target is calculated as 92.2% using (14). Next, the target damage probability is calculated as 3.69% using (15).…”

Section: Experimental Analysismentioning

confidence: 99%

“…The number of total warhead fragments is reduced in the target, which is mainly related to the intersection angle between the warhead and the equivalent target plate in the middle area. According to (14), the probability of intersection between the warhead fragment and target decreases to 83.1%.…”

Section: Experimental Analysismentioning

confidence: 99%

“…The research results can provide technical support for the structural optimization design of the fragmentation warhead. Zhang et al [14] studied the damage assessment method of the wing under blast wave, introduced a critical relative distance prediction method of aircraft wing damage based on the back-propagation artificial neural network (BP-ANN), and used the finite element method (FEM) for wing blast damage simulation to determine damage mode and analyze damage characteristics. Du et al [15] proposed an improved learning algorithm of conditional probability tables of Bayesian network for target damage assessment; this algorithm has good stability and high precision.…”

Section: Introductionmentioning

confidence: 99%

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A Target Damage Assessment Mathematical Model and Calculation Method Based on the Intersection of Warhead Fragment and Target Mechanism

Zhang

2022

Mathematics

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This paper proposes a target damage calculation method based on the profit-loss value of a warhead fragment group. The group is discretized into a fan-shaped column warhead fragment dispersion arrangement model, and the angle of its intersection with the target is combined to establish the dynamic dispersion density model of the warhead fragment group. In addition, the function to calculate the number of warhead fragments hitting the target’s surface is devised. The capability matrix of the warhead fragment group is constructed according to the quality, quantity, and storage velocity of the warhead fragments, and then, the profit-loss value of the warhead fragment group is established. Combining the intersection probability of the target and the warhead fragment of the dispersion area, the model to calculate the probability of damage caused to the target by the warhead fragment group formation is deduced. The calculation and experimental analysis verifies that the dispersion angle of warhead fragments, the intersection angle of projectile and target, and the intersection distance of projectile and target significantly influence the impact of target damage.

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Section: Experimental Analysismentioning

confidence: 99%

Section: Experimental Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Target Damage Assessment Mathematical Model and Calculation Method Based on the Intersection of Warhead Fragment and Target Mechanism

Zhang

2022

Mathematics

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“…In particular, applications focused on damage detection on wind blades using data-driven, AI and digital twins are reported in the review articles [12][13][14][15][16][17]. Modern approaches involve the exploitation of online data acquisition for SHM, for instance in [18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Identification of Damage in a Wind Turbine Blade Using Mechanical Measurements and Artificial Neural Networks

Koutsianitis,

Paterakis,

E. Stavroulakis

2024

JDSIS

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Due to the stochastic nature of environmental loadings, a lot of interest is paid in the discovery of possible damages of the involved equipment in modern industry. In wind turbines’ blades, the development of a smart structural health monitoring system is essential. In this paper, a large-scale composite wind turbine blade model is designed and used for the detection of several damage scenarios. The process is mainly based on the development of monitoring techniques which exploit the capabilities of artificial neural networks. These techniques can provide the exact position of possible damages, under given external loading scenarios. Moreover, the use of such methods decreases significantly the need of external intervention and at the same time it increases the accuracy of the whole approach. The above processes are simulated using the finite element method. The goal is to develop a neural network which realizes the correlation of measurements with damage patterns. The goal is focused on the solution of inverse problems involving elastically deformable structures, based on remote mechanical measurements. The correlation between measurements and damages, which is much more complicated in comparison to image analysis, is studied by means of neural networks.

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Analysis of Hydrodynamic Ram Effect of Aircraft Fuel Tank Filled with Foam Under Fragment Impact

Zhang,

Pei,

et al. 2024

2023 Asia-Pacific International Symposium on Aerospace Technology (APISAT 2023) Proceedings

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Damage assessment of aircraft wing subjected to blast wave with finite element method and artificial neural network tool

Cited by 10 publications

References 32 publications

A Target Damage Assessment Mathematical Model and Calculation Method Based on the Intersection of Warhead Fragment and Target Mechanism

A Target Damage Assessment Mathematical Model and Calculation Method Based on the Intersection of Warhead Fragment and Target Mechanism

Identification of Damage in a Wind Turbine Blade Using Mechanical Measurements and Artificial Neural Networks

Analysis of Hydrodynamic Ram Effect of Aircraft Fuel Tank Filled with Foam Under Fragment Impact

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