scispace - formally typeset
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.

Papers
More filters
Journal ArticleDOI

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.
Journal ArticleDOI

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.
Journal ArticleDOI

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.
Journal ArticleDOI

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.
Journal ArticleDOI

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.