F
Fanying Jiang
Researcher at Southwest Jiaotong University
Publications - 12
Citations - 75
Fanying Jiang is an academic researcher from Southwest Jiaotong University. The author has contributed to research in topics: Wind speed & Environmental science. The author has an hindex of 2, co-authored 4 publications receiving 7 citations.
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Comparison of wind characteristics in different directions of deep-cut gorges based on field measurements
TL;DR: In this article, an ultrasonic anemometer installed on a catwalk and bridge tower was used to perform statistical analysis of the wind field of deep-cut gorges and study the influence of wind direction on the wind characteristic parameters.
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Field measurement study of wind characteristics in mountain terrain: Focusing on sudden intense winds
TL;DR: Wang et al. as mentioned in this paper presented a systematic field measurement study on intense wind events in a deep-cut canyon situated in a mountainous area of southwestern China and identified a series of sudden intense winds events whose wind speed, direction, ambient temperature, and other characteristics change rapidly.
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Observations of periodic thermally-developed winds beside a bridge region in mountain terrain based on field measurement
TL;DR: In this article , a framework is set up to detect and extract periodic thermally-developed wind in a typical U-shaped canyon and its statistical and time-varying wind characteristics are analyzed subsequently.
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Wind Tunnel Test on Local Wind Field around the Bridge Tower of a Truss Girder
TL;DR: In this article, the aerodynamic performance of vehicles on a bridge deck depends on the local wind field, especially in a region near a bridge tower, and wind tunnel tests were performed to determine how the wind fields were affected by the bridge tower in the presence of different wind barriers.
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Probabilistic wind spectrum model based on correlation of wind parameters in mountainous areas: Focusing on von Karman spectrum
TL;DR: In this article , the C-Vine Copula and inverse reliability method were combined with the joint probability model (JPM) and environmental contour model of wind speed, turbulence intensity, and turbulence integral length.