Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Huawei Niu is active.

Publication


Featured researches published by Huawei Niu.


Advances in Structural Engineering | 2014

Turbulence Integral Scale Corrections to Experimental Results of Aeroelastic Models with Large Geometric Scales: Application to Gust Loading Factor of a Transmission Line Tower

Xugang Hua; Z.Q. Chen; Jing Bo Yang; Huawei Niu; B. Chen

Full aeroelastic model tests are often carried out to investigate the buffeting responses and the corresponding gust loading factor (GLF) of flexible structures. The geometric model scale for complicated structures may sometimes be excessively large in comparison with the ratio between turbulence integral scales measured in wind tunnel and in real atmospheric environments. This inconsistency in scale modeling leads to severe distortions of turbulence integral scale similarity whose influence manifests itself by modifications in resonant component of buffeting response and in resulting GLF as well, and numerical correction is needed when these testing results are converted to full-scale. This paper presents a correction procedure in terms of correction factors for experimental GLF obtained from full aeroelastic model tests to account for the inconsistency in scale modeling. The correction is simply made on analyzing the prototype in two air flows with different turbulence integral scales, namely the nominal value in the real atmosphere environment and the full-scale value correspondent to aeroelastic model test. The correction procedure is applied to the full aeroelastic model experiments of a transmission line tower with an unusually large geometric scale of 1/40 in order to examine the effect of turbulence integral scale on GLF. An appreciable effect is observed. It is found that the GLF obtained from wind tunnel experiments tends to be conservative for most structures and becomes unsafe for structures with extremely low modal frequencies when disregarding the correction. Correction factors are then derived to accommodate the inconsistency in modeling turbulence integral lengths. As a first generalization, a set of more general correction factors defined in terms of modal damping ratio and frequency ratio, the ratio between modal frequency and the dominant frequency in wind power spectra, are further developed through parametric analysis. The correction factors decrease with the augment of modal damping ratio and frequency ratio.


Advances in Structural Engineering | 2017

Modal parameter identification of a long-span footbridge by forced vibration experiments

Q Wen; Xugang Hua; Z.Q. Chen; Jm Guo; Huawei Niu

Performing forced vibration tests on full-scale structures is the most reliable way of determining the relevant modal parameters in structural dynamics, such as modal frequencies, mode shapes, modal damping, and modal masses. This study describes the modal identification of a double-level curved cable-stayed bridge with separate deck systems for pedestrians and vehicles via forced vibration tests. The steady-state structural responses to sinusoidal excitations produced by an electrodynamic shaker are recorded under varying excitation frequencies, and the frequency response functions are established. The measured frequency response functions are curve fitted to estimate the modal parameters. The numerical simulation of frequency response function–based modal parameter identification of an elastically multi-supported continuous beam structure is carried out, and the emphasis has been placed on the evaluation of the effect of an additional shaker mass, excitation frequency step and range, multi-mode vibration, and noise on identification results. Finally, the modal parameters for the first lateral mode of a double-level curved cable-stayed bridge are identified by forced vibration experiments, and the results are compared with those from ambient vibration tests and free vibration tests. The effect of the unmeasured wind excitation on identification is discussed. It is shown that the effect of ambient vibration is minor for wind velocity of 3–5 m/s. The damping ratios identified by forced and free vibration tests are comparable, while those from ambient vibration are subject to large variations. The modal mass obtained from forced vibration tests is in good agreement with finite element prediction, which provides design basis for mass-type dampers.


Journal of Wind Engineering and Industrial Aerodynamics | 2015

Design wind loads for tubular-angle steel cross-arms of transmission towers under skewed wind loading

Fengli Yang; Jingbo Yang; Huawei Niu; Hongjie Zhang


Journal of Wind Engineering and Industrial Aerodynamics | 2016

LES study on the turbulent flow fields over complex terrain covered by vegetation canopy

Zhenqing Liu; Takeshi Ishihara; Xuhui He; Huawei Niu


Journal of Wind Engineering and Industrial Aerodynamics | 2016

Wind tunnel tests on wind loads acting on an angled steel triangular transmission tower

Fengli Yang; Huixue Dang; Huawei Niu; Hongjie Zhang; Binrong Zhu


Archive | 2010

Method for controlling wind vibration of electric transmission line high tower

Jingbo Yang; Z.Q. Chen; Xugang Hua; Junke Han; Huawei Niu; Zebing Dai; Fengli Yang


Wind and Structures | 2015

An empirical model for amplitude prediction on VIV-galloping instability of rectangular cylinders

Huawei Niu; Shuai Zhou; Z.Q. Chen; Xugang Hua


Wind and Structures | 2015

Investigation on the effect of vibration frequency on vortex-induced vibrations by section model tests

Xugang Hua; Z.Q. Chen; W. Chen; Huawei Niu; Z.W. Huang


Archive | 2011

Rigid sectional mold damp continuous regulating device for wind-tunnel test

Z.Q. Chen; Shuai Zhou; Huawei Niu; Zhihao Wang


Journal of Wind Engineering and Industrial Aerodynamics | 2018

Characteristics of wind-induced displacement of super-large cooling tower based-on continuous medium model wind tunnel test

Yunfeng Zou; Xuhui He; Haiquan Jing; Shuai Zhou; Huawei Niu; Z.Q. Chen

Collaboration


Dive into the Huawei Niu's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Xuhui He

Central South University

View shared research outputs
Top Co-Authors

Avatar

Yunfeng Zou

Central South University

View shared research outputs
Top Co-Authors

Avatar

Fengli Yang

Electric Power Research Institute

View shared research outputs
Top Co-Authors

Avatar

Hongjie Zhang

Electric Power Research Institute

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Haiquan Jing

Central South University

View shared research outputs
Researchain Logo
Decentralizing Knowledge