装配式超高层住宅结构施工过程中动力性能的评估研究

刘洋; 刘淳清; 张凤亮; 韦骄原

doi:10.3724/j.gyjzG25041408

装配式超高层住宅结构施工过程中动力性能的评估研究

doi: 10.3724/j.gyjzG25041408

刘洋^1,2,
刘淳清³,
张凤亮^3, ,,
韦骄原³

1. 中南大学土木工程学院, 长沙 410000;
2. 中铁五局集团建筑工程有限责任公司, 贵阳 550000;
3. 哈尔滨工业大学(深圳)智能土木与海洋工程学院, 广东深圳 518055

基金项目:

中国中铁2025年度科技研究开发计划（2025-重大-19）；深圳市科技创新委员会项目（KJZD20230923114310021，JCYJ20241202123722029）。

详细信息

作者简介:
刘洋，硕士研究生，正高级工程师，主要从事建筑结构及施工相关技术研究，576236181@qq.com。

通讯作者:
张凤亮,教授,zhangfengliang@hit.edu.cn。

计量
- 文章访问数: 12
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- 被引次数: 0
出版历程
- 收稿日期: 2025-04-14
- 网络出版日期: 2026-01-06

Research on Dynamic Performance Evaluation of Prefabricated Super-High-Rise Residential Structures During Construction

1. School of Civil Engineering，Central South University，Changsha 410000，China;
2. China Railway No.5 Engineering Group Co.，Ltd.，Guiyang 550000，China;
3. School of Intelligent Civil and Ocean Engineering，Harbin Institute of Technology（Shenzhen），Shenzhen 518055，China

摘要

摘要: 对深圳某装配式超高层开展了贯穿施工全周期的环境振动测试，获取了各阶段的结构动态响应数据。采用基于贝叶斯理论的运营模态分析（Operational Modal Analysis， OMA）技术，识别了施工进程中的结构模态参数。通过分析模态参数并与有限元模型结果进行对照，发现模态频率和阻尼比随施工进展而整体呈现下降趋势，与结构动态响应特性的演变相一致。为此，研究中量化了各施工阶段频率变化的特征。结果表明，尽管实测模态频率普遍高于有限元计算值约40%，但两者变化趋势一致，验证了有限元模型在趋势预测上的可靠性。最终竣工状态下的结果表明实测前六阶振型与有限元分析结果在模态置信准则（MAC）下具有高度一致性。
- 结构健康监测 /
- 环境振动测试 /
- 贝叶斯模态识别 /
- 装配式建筑 /
- 超高层建筑
Abstract: This study conducted ambient vibration tests on a precast super tall building located in Shenzhen throughout its entire construction period， obtaining structural dynamic response data at various stages. Bayesian operational modal analysis （OMA） techniques were employed to identify the structural modal parameters during the construction process. By analyzing these modal parameters and comparing them with finite element model results， this study revealed an overall declining trend in both modal frequencies and damping ratios as construction progressed， which was consistent with the evolution of structural dynamic response characteristics. The research quantified the characteristics of frequency variations across different construction phases. The results indicated that although the measured modal frequencies were consistently approximately 40% higher than the finite element-calculated values， both exhibited the same variation trend， thereby validating the reliability of the finite element model for trend prediction. Upon project completion， measurements demonstrated a high degree of agreement between the first six experimental modal shapes and the finite element analysis results under the Modal Assurance Criterion （MAC）.
- structural health monitoring /
- ambient vibration testing /
- Bayesian modal identification /
- prefabricated building /
- super-high-rise building

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参考文献(28)

[1]	AU S K，ZHANG F L，NI Y C. Bayesian operational modal analysis:theory，computation，practice[J]. Computers& Structures，2013，126:3-14.
[2]	AU S K，BROWNJOHN J M W，LI B，et al. Understanding and managing identification uncertainty of close modes in operational modal analysis[J]. Mechanical Systems and Signal Processing，2021，147，107018.
[3]	YANG J H，LAM H F，Beck J L. Bayes-Mode-ID:a bayesian modal-component-sampling method for operational modal analysis[J]. Engineering Structures，2019，189:222-240.
[4]	BROWNJOHN J M W，AU S K，ZHU Y，et al. Bayesian operational modal analysis of Jiangyin Yangtze River bridge[J]. Mechanical Systems and Signal Processing，2018，110:210-230.
[5]	SHAN J，ZHANG H，SHI W，et al. Health monitoring and field‐testing of high‐rise buildings:a review[J]. Structural Concrete，2020，21（4）:1272-1285.
[6]	KONG Q，ALLEN R M，KOHLER M D，et al. Structural health monitoring of buildings using smartphone sensors[J]. Seismological Research Letters，2018，89（2A）:594-602.
[7]	LIU T，YANG B，ZHANG Q. Health monitoring system developed for Tianjin 117 high-rise building[J]. Journal of Aerospace Engineering，2017，30（2），B4016004.
[8]	ZHANG F L，KIM C W，GOI Y. Efficient Bayesian FFT method for damage detection using ambient vibration data with consideration of uncertainty[J]. Structural Control and Health Monitoring，2021，28（2），e2659.
[9]	AZZARA R M，GIRARDI M，IAFOLLA V，et al. Ambient vibrations of age-old masonry towers:results of long-term dynamic monitoring in the historic centre of Lucca[J]. International Journal of Architectural Heritage，2021，15（1）:5-21.
[10]	BIANCONI F，SALACHORIS G P，CLEMENTI F，et al. A genetic algorithm procedure for the automatic updating of fem based on ambient vibration tests[J]. Sensors，2020，20（11）:3315-3331.
[11]	雷知迪，邓荣兵，邓海啸，等. 低温环境对超导腔位移振动特性影响的实验研究[J]. 核技术，2024，47（2）:19-26.
[12]	李宇坤. 随机交通荷载激励下城市路面环境振动响应及控制研究[D]. 福州:福建农林大学，2022.
[13]	法冠喆. 基于环境振动实测的钢-混凝土组合梁桥有限元修正[J]. 建筑结构，2022，52（增刊1）:1398-1402.
[14]	丁叶蔚，付海燕，王正，等. 木楼盖环境激励与冲击激励下振动测试与舒适度分析[J]. 建筑结构，2020，50（16）:100-106.
[15]	朱传凯，金波，吴兴和. 环境激励下ERA方法在砌体结构振动测试中的应用研究[J]. 世界地震工程，2018，34（1）:187-192.
[16]	REYNDERS E. System identification methods for（operational）modal analysis:review and comparison[J]. Archives of Computational Methods in Engineering，2012，19:51-124.
[17]	CHEN W，JIN M，HUANG J，et al. A method to distinguish harmonic frequencies and remove the harmonic effect in operational modal analysis of rotating structures[J]. Mechanical Systems and Signal Processing，2021，161，107928.
[18]	FU W，WANG C，CHEN J. Operational modal analysis for vibration control following moving window locality preserving projections for linear slow-time-varying structures[J]. Applied Sciences，2021，11（2），791.
[19]	NAKANISHI Y，KANETA T，NISHINO S. A review of monitoring construction equipment in support of construction project management[J]. Frontiers in Built Environment，2022，7，632593.
[20]	DENG R，LI C. Digital intelligent management platform for high-rise building construction based on bim technology[J]. International Journal of Advanced Computer Science and Applications，2022，13（12）:1057-1067.
[21]	PARK H S，OH B K. Real-time structural health monitoring of a supertall building under construction based on visual modal identification strategy[J]. Automation in Construction，2018，85:273-289.
[22]	PAN X，ZUO Z，ZHANG L，et al. Research on dynamic monitoring and early warning of the high-rise building machine during the climbing stage[J]. Advances in Civil Engineering，2023，2023（1），9326791.
[23]	杨子鹏. 隧道施工过程中的岩体监测与控制技术研究[J]. 工程技术研究，2023，8（20）:24-26.
[24]	郭斌，吴明义，赵志坤，等. 矮塔斜拉桥施工过程自动化监测系统设计与应用[J]. 微型电脑应用，2024，40（2）:134-136.
[25]	张捷，马晓菲，彭成波，等. 大跨桁架施工过程安全监测及施工模拟修正研究[C]// 第九届钢结构工程技术交流会暨中国建筑学会工程建设学术委员会年会论文集. 珠海:2023:139-141.
[26]	周苏，李新生，刘陈韬，等. 复合式牵索挂篮施工过程受力分析与监测[J]. 中外公路，2023，43（4）:188-195.
[27]	贺思维，曲哲，周惠蒙，等. 非结构构件抗震性能试验方法综述[J]. 土木工程学报，2017，50（9）:16-27.
[28]	王磊，梁枢果，王泽康，等. 超高层建筑横风向风振局部气动外形优化[J]. 浙江大学学报（工学版），2016，50（7）:1239-1246.