Theoretical and experimental modal analysis of the Guangzhou New TV Tower

Chen, W.H.; Lu, Zhong-Rong; Lin, Wen Wei; Chen, S.H.; Ni, Yiqing; Xia, Yong; Liao, Wei

doi:10.1016/j.engstruct.2011.07.028

Cited by 119 publications

(58 citation statements)

References 17 publications

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“…건물 에 설치된 센서로부터 계측한 응답을 이용하여 건물 내 구조 부재들의 안전성을 평가하거나 시스템 식별(system identification)을 통해 시스템 레벨의 상태를 평가한다 (Lamarche et al, 2007;Zimmerman et al, 2009;Chen et al, 2011;Ye et al, 2012). Table 1 Model updating results …”

Section: 서 론 건물 구조물의 상태를 파악하고 안전성을 평가하기 위한unclassified

A Proposal of Model Updating Method for Steel Frame Using Global/Local Responses

Oh¹,

Se-Woon²,

Kim³

et al. 2015

jcoseik

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Conventional model updating methods for the structures have used global structural responses which are modal parameters obtained through vibration measurements. Although models updated by modal parameters estimate global structural responses accurately, they have difficulties to predict local responses for safety assesment of structural members. The safety of structural members in the structures has been evaluated through the stress estimation based on strain measurements. Thus, this study additionally uses measured strain responses of structural members to perform model updating besides modal parameters. In the proposed method, the objective functions are set to the differences of the global and local responses obtained from updated model and measurement and those functions are minimized by NSGA-II, one of the multi-objective optimization techniques. The strain responses predicted from updated model are used for safety assessment of the steel frame structures. The proposed method are verified by numerical and experimental studies through the impact hammer tests for a steel frame specimen.

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Section: 서 론 건물 구조물의 상태를 파악하고 안전성을 평가하기 위한unclassified

A Proposal of Model Updating Method for Steel Frame Using Global/Local Responses

Oh¹,

Se-Woon²,

Kim³

et al. 2015

jcoseik

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“…[2][3][4][5][6] In order to depict the relationship between modal parameters and ambient conditions, a number of long-term monitoring systems were operated for different types of structures, including bridge, [7][8][9] reinforced concrete buildings, [10][11][12] and other types. [13][14][15] In these studies, it has been shown that the fluctuation of the structural dynamical properties was significant due to the variation of ambient conditions, and the modal frequencies exhibited strong correlation with temperature and relative humidity. If the modal frequency-ambient condition pattern is not appropriately captured, there will be substantial bias in the structural health assessment results.…”

Section: Introductionmentioning

confidence: 99%

Relevance feature selection of modal frequency-ambient condition pattern recognition in structural health assessment for reinforced concrete buildings

Yuen

Kuok

2016

Advances in Mechanical Engineering

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Modal frequency is an important indicator for structural health assessment. Previous studies have shown that this indicator is substantially affected by the fluctuation of ambient conditions, such as temperature and humidity. Therefore, recognizing the pattern between modal frequency and ambient conditions is necessary for reliable long-term structural health assessment. In this article, a novel machine-learning algorithm is proposed to automatically select relevance features in modal frequency-ambient condition pattern recognition based on structural dynamic response and ambient condition measurement. In contrast to the traditional feature selection approaches by examining a large number of combinations of extracted features, the proposed algorithm conducts continuous relevance feature selection by introducing a sophisticated hyperparameterization on the weight parameter vector controlling the relevancy of different features in the prediction model. The proposed algorithm is then utilized for structural health assessment for a reinforced concrete building based on 1-year daily measurements. It turns out that the optimal model class including the relevance features for each vibrational mode is capable to capture the pattern between the corresponding modal frequency and the ambient conditions.

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“…C., 2002). To improve buildings' seismic performance, when the designing standard and disciplines of anti-seismic criterion are relatively unclear, GCES assisted relevant organizations to complete the following tests, to be specific, the wind tunnel force balance test on Canton Tower structure (completed by State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University) (Gu, Huang, Zhu, & Pan, 2009;Zhou, Gu, Zhu, & Huang, 2009) (Pan, Zhou, & Liang, 2008;Zhou, 2006), the experimental investigation on stability of the exterior steel frame and waist portion of Canton Tower (completed by Tsinghua University) (Guo, Liu, Wang, Lin, Pan, & Liang, 2008), the experimental research on bidirectional hinge joints in Canton Tower (completed by College of Civil Engineering, Tongji University) (Chen, Zhao, & Wang, 2007), the advisory report of long-term corrosion resistance and protection technology about Canton Tower (completed by Central Iron & Steel Research Institute, CISRI), the advisory report of steel pipe production process for steel structure analysis (completed by Beijing Yuanda International Project Management Consulting Co., Ltd.), and vibrating stress relief test on welded steel tube of Canton Tower (completed by Shanghai Jiao Tong University), the test on F 1000 mm Â 50 mm hot forging hemisphere of Canton Tower (completed by Jiangsu Huning Steel Mechanism Co., Ltd.), the experimental study on atmosphere corrosion resisting structural steel of BRA520C (Q420GJCW) of Canton Tower (completed by Central Research Institute of Building and Construction Co., Ltd., MCC Group).…”

Section: Test and Studymentioning

confidence: 99%