Research on wind barrier of canyon bridge-tunnel junction based on wind characteristics

Wang, Lu; Chen, Xiaoxin; Chen, Hong

doi:10.1177/1369433220971730

Cited by 9 publications

(5 citation statements)

References 26 publications

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“…A single image can't meet the actual needs when unmanned aerial vehicles collect ground object information by remote sensing. Using image stitching technology, two or more remote sensing images are stitched together to form a stitched image covering the target area, so that researchers can make correct analysis and judgment on the target scene 10 .…”

Section: Remote Sensing Image Of Uavmentioning

confidence: 99%

Research on bridge detection algorithm based on remote sensing image

Zhang,

Luo

2023

Seventh International Conference on Mechatronics and Intelligent Robotics (ICMIR 2023)

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In the 21st century, with the rapid development of artificial intelligence (AI) technology, rapid and automatic recognition of ground objects in remote sensing images has gradually become the current research focus. This technology solves the problem that a single remote sensing image can not cover the target area and can not meet the actual operation requirements. Because of the advantages of high efficiency, low cost and reliable mosaic image quality, it is widely used in engineering surveying and mapping, traffic monitoring, military investigation, disaster investigation and other fields. With the rapid development of aerial remote sensing technology, the number of optical remote sensing images has increased explosively, which provides necessary data support for using deep learning method to detect targets in remote sensing images. Based on the research background of automatic detection and recognition of bridge targets in visible light remote sensing images, this paper studies the problems of feature extraction, river detection, river region correction and bridge target recognition, and constructs a complete automatic detection and location system of bridge targets. After that, the bridge is accurately detected using binary morphology combined with the feature of bridge crossing both banks.

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Section: Remote Sensing Image Of Uavmentioning

confidence: 99%

Research on bridge detection algorithm based on remote sensing image

Zhang,

Luo

2023

Seventh International Conference on Mechatronics and Intelligent Robotics (ICMIR 2023)

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“…Second, the height and porosity of the wind barrier are the key parameters that affect its wind resistance performance [10,11], and a better combination of height and porosity can improve the wind-induced driving safety of vehicles. Wang et al determined the aerodynamic performance of vehicles running under wind barriers using dynamic grid technology [12], and it was found that stepped wind barriers with 50% porosity had the best wind reduction effect. Moreover, the location of the wind barrier is another critical parameter that affects the wind resistance performance.…”

Section: Introductionmentioning

confidence: 99%

Influence Mechanism of a Bridge Wind Barrier on the Stability of a Van-Body Truck under Crosswind

Zhi-qun

Xia

Lin³

et al. 2022

Atmosphere

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Understanding the crosswind stability of cars under strong wind loads and research on wind resistance methods is important for improving the safety performance of wind-induced driving on bridges. Taking van-body trucks as the research object, numerical calculation methods and wind tunnel test methods are used to conduct the wind-induced driving safety analyses of van trucks on a cross-sea bridge. The influence of the structural parameters of the barrier-type wind barrier on the aerodynamic characteristics and straight-line driving stability of the trucks on the bridge is studied and analyzed quantitatively. The results show that the decrease in the porosity of the wind barrier can effectively reduce the average wind speed of the bridge deck, and increasing the height of the wind barrier can effectively reduce the wind speed and increase the occlusion height of the bridge deck. The lateral acceleration, yaw rate, and lateral displacement of trucks decrease with the decrease in the porosity of the wind barrier and decrease with the increase in the height of the wind barrier. The research conclusions can not only provide data support for wind-induced driving safety analysis and the wind-resistant design of bridges but also provide a new method to balance the requirements of bridge wind-induced driving safety and bridge wind-induced structure safety.

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“…Based on the twisted wind profile conditions of the quasi-steady state theory, Li et al [14] evaluated the influence of wind field characteristics on the buffeting response of a variable cross section bridge tower, where the bridge is located in a trumpet-shaped mountain pass. Wang et al [15] used the CFD-based numerical simulation method to establish a numerical model of the canyon bridge-tunnel junction. Huang et al [16] analyzed the wind directions' effect on wind characteristics over complex terrain by CFD.…”

Section: Introductionmentioning

confidence: 99%

Influence of Initial Conditions on Wind Characteristics at a Bridge Middle Span in a U-Shaped Valley by CFD and AHP

Wang

Zhang

et al. 2022

Applied Sciences

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The wind parameter distribution law at a bridge midspan in a U-shaped valley has important influence on the wind strength of this bridges. In this paper, the wind characteristics were researched by computational fluid dynamics (CFD). The surface roughness, the inlet wind speed, the wind speed profile, and the oncoming wind direction were selected as the initial conditions; the wind speed, the wind attack angle, and the wind azimuth angle were set as wind parameters; and the effect of the four initial conditions on the wind parameters was comprehensively analyzed. An innovative quantification model used to connect the coefficient of sensitivity factors with scale values was established, and the influence of initial conditions on wind parameters was studied by analytic hierarchy process (AHP) for the first time. The results show that the spatial distribution of wind characteristics in a U-shaped valley is complex and obviously affected by the initial conditions. The established quantification model has certain practicability. The AHP evaluation results showed that the influence of the oncoming wind direction on wind parameters was the most obvious. The influence degree of oncoming wind direction and wind speed profile on wind speed was just as important, accounting for 77.4%. The sensitivity of wind attack angle to oncoming wind direction was 60.8%, which was much higher than the surface roughness, inlet wind speed, and wind speed profile. The influence degree of oncoming wind direction on wind azimuth angle was the sum of the other three initial conditions.

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Research on wind barrier of canyon bridge-tunnel junction based on wind characteristics

Cited by 9 publications

References 26 publications

Research on bridge detection algorithm based on remote sensing image

Research on bridge detection algorithm based on remote sensing image

Influence Mechanism of a Bridge Wind Barrier on the Stability of a Van-Body Truck under Crosswind

Influence of Initial Conditions on Wind Characteristics at a Bridge Middle Span in a U-Shaped Valley by CFD and AHP

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