Design and aerodynamic investigation of a parallel vehicle on a wide-speed range

Li, Shibin; Huang, Wei; Wang, Zhen Guo; Lei, Jing

doi:10.1007/s11432-014-5225-2

Cited by 15 publications

(3 citation statements)

References 30 publications

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“…When wire rupture occurs to a certain cable, it leads to redistribution of dead and live loads that are applied to other cables and thus can endanger the whole bridge ( [5,6]. Therefore, the condition assessment of stay cables is of critical importance for cable-stayed bridges [7,8]. Cable tension monitoring is one of the widely used approaches to evaluate the health condition of bridge cables [9], which can be fulfilled by either monitoring the strain of cable wires with strain sensors or assessing the total cable forces with load cell, accelerometers, etc.…”

Section: Introductionmentioning

confidence: 99%

Condition Assessment of Stay Cables through Enhanced Time Series Classification Using a Deep Learning Approach

Zhang,

Yan,

et al. 2021

Preprint

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Stay cables play an essential role on cable-stayed bridges. Severe vibrations and/or harsh environment may result in cable failures. Hence, an efficient structural health monitoring (SHM) solution for cable damage detection is necessary. To this end, the present study proposes a data-driven method that detects cable damage from measured cable forces by recognizing biased patterns from the intact conditions. The proposed method solves the pattern recognition problem for cable damage detection through time series classification (TSC) in deep learning, considering that the cable's behavior can be implicitly represented by the measured cable force series. A deep learning model, long short term memory fully convolutional network (LSTM-FCN), is leveraged by assigning appropriate inputs and representative class labels for the TSC problem, First, a TSC classifier is trained and validated using the data collected under intact conditions of stay cables, setting the segmented data series as input and the cable (or cable pair) ID as class labels. Subsequently, the classifier is tested using the data collected under possible damaged conditions. Finally, the cable or cable pair corresponding to the least classification accuracy is recommended as the most probable damaged cable or cable pair. The proposed method was tested on an in-service cable-stayed bridge with damaged stay cables. Two scenarios in the proposed TSC scheme were investigated: 1) raw time series of cable forces were fed into the classifiers; and 2) cable force ratios were inputted in the classifiers considering the possible variation of force distribution between cable pairs due to cable damage. Combining the results of TSC testing in these two scenarios, the cable with rupture was correctly identified. This study proposes a data-driven methodology for cable damage detection that requires the least data preprocessing and feature engineering, which enables fast and convenient early detection in real applications.

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Section: Introductionmentioning

confidence: 99%

Condition Assessment of Stay Cables through Enhanced Time Series Classification Using a Deep Learning Approach

Zhang,

Yan,

et al. 2021

Preprint

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“…Based on dual-cone-derived waveriders, Liu et al [16] designed a hypersonic gliding-cruising vehicle to achieve vehicle fly at two regimes. Li et al [17], [18] proposed a parallel vehicle design method and variable Mach number method for a wide-ranged Mach number to improve the overall performance of the aircraft. Zhao et al [19] put forwards a variable Mach number design approach based on the osculating cone theory and found that the waverider had superior low-speed aerodynamic performance and high-speed aerodynamic performance.…”

Section: Introductionmentioning

confidence: 99%

Waverider Configuration Design With Variable Shock Angle

et al. 2019

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A novel waverider design methodology is proposed with a variable shock angle based on the osculating cones' theory. The expected shape with special requirements can be generated by arranging the distribution of shock angle using the new method. Contrast investigation is conducted on three waveriders, which are designed with constant, decreasing and increasing shock angle distribution starting from symmetry plane at the average shock angle of 12 •. The feasibility of the proposed approach is validated by the computational fluid dynamics (CFD) simulation. The results show that the distribution of shock angle has a significant influence on the lift-to-drag ratio and volumetric efficiency. Waverider with decreasing shock angle owns the greater volume and volumetric efficiency but with weak aerodynamic performance. The waverider with increasing shock angle has a higher lift-to-drag ratio and enhanced the static stability but with lower volumetric efficiency. The performance of waveriders with variable shock angle under off-design and blunted conditions is also investigated, which reveals a great overall aerodynamic performance and good robustness. INDEX TERMS Hypersonic waverider, variable shock angle, lift-to-drag ratio, off-design condition, bluntness.

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“…This configuration was proved to have strong adaptability in a wide speed range. Li et al [40,41] proposed a parallel vehicle for a wide-speed range and a hypersonic vehicle in tandem based on the cone-derived method. They studied the aerodynamic performance of these vehicles and proved that both of them have good aerodynamic performance.…”

Section: Introductionmentioning

confidence: 99%

Performance comparison between waverider and wide-speed-range gliding vehicle based on CFD approaches

Zhang

Wang

Huang

et al. 2019

Sci. China Technol. Sci.

Self Cite

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Wide-speed-range gliding vehicle (WSRGV) is designed to adapt to the variable cruising environment that hypersonic vehicles will encounter during the mission implementation. Based on the cone-derived theory, a novel design technique of WSRGV has been developed. Theoretically, the functional relationship between cone-derived waverider's volumetric efficiency and its design Mach number can be built through sampling approach as long as the geometries of design conical shock wave and the upper base curve are fixed. Based on the functional relationship, a cone-derived waverider that owns the same volumetric efficiency with a giving WSRGV can be acquired. This paper compared the aerodynamic performance between WSRGV and the cone-derived waverider sharing the same volumetric efficiency in a wide Mach number range. Their aerodynamic properties versus angle of attack have also been compared under the waverider's design Mach number. The obtained result shows that WSRGV shares similar aerodynamic performance with the cone-derived waverider with the same volumetric efficiency. The aero-surfaces in the margin area of this kind of configuration have a larger contribution to the lift-to-drag ratio in comparison with the aero-surfaces in the central area. The configuration with a thick central body and thin margin place owns not only better aerodynamic performance but also better loading property. wide-speed range, cone-derived waverider, volumetric efficiency, lift-to-drag ratio, loading property Citation:Zhang T T, Wang Z G, Huang W, et al. Performance comparison between waverider and wide-speed-range gliding vehicle based on CFD approaches.

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Design and aerodynamic investigation of a parallel vehicle on a wide-speed range

Cited by 15 publications

References 30 publications

Condition Assessment of Stay Cables through Enhanced Time Series Classification Using a Deep Learning Approach

Condition Assessment of Stay Cables through Enhanced Time Series Classification Using a Deep Learning Approach

Waverider Configuration Design With Variable Shock Angle

Performance comparison between waverider and wide-speed-range gliding vehicle based on CFD approaches

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