Huawei Niu
Hunan University
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Featured researches published by Huawei Niu.
Advances in Structural Engineering | 2014
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
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
Fengli Yang; Jingbo Yang; Huawei Niu; Hongjie Zhang
Journal of Wind Engineering and Industrial Aerodynamics | 2016
Zhenqing Liu; Takeshi Ishihara; Xuhui He; Huawei Niu
Journal of Wind Engineering and Industrial Aerodynamics | 2016
Fengli Yang; Huixue Dang; Huawei Niu; Hongjie Zhang; Binrong Zhu
Archive | 2010
Jingbo Yang; Z.Q. Chen; Xugang Hua; Junke Han; Huawei Niu; Zebing Dai; Fengli Yang
Wind and Structures | 2015
Huawei Niu; Shuai Zhou; Z.Q. Chen; Xugang Hua
Wind and Structures | 2015
Xugang Hua; Z.Q. Chen; W. Chen; Huawei Niu; Z.W. Huang
Archive | 2011
Z.Q. Chen; Shuai Zhou; Huawei Niu; Zhihao Wang
Journal of Wind Engineering and Industrial Aerodynamics | 2018
Yunfeng Zou; Xuhui He; Haiquan Jing; Shuai Zhou; Huawei Niu; Z.Q. Chen