基于分布式同步采集的复杂工程结构动力性能自动识别

胡卫华; 唐德徽; 徐增茂; 卢伟; 滕军

doi:10.13204/j.gyjzG20111112

基于分布式同步采集的复杂工程结构动力性能自动识别

doi: 10.13204/j.gyjzG20111112

哈尔滨工业大学(深圳), 广东深圳 518056

基金项目:

国家自然科学基金项目（51878226，51978214）。

详细信息

作者简介:
胡卫华,男,1978年出生,博士,助理教授。

通讯作者:
滕军,tengj@hit.edu.cn。

计量
- 文章访问数: 140
- HTML全文浏览量: 5
- PDF下载量: 6
- 被引次数: 0
出版历程
- 收稿日期: 2020-11-11
- 网络出版日期: 2021-09-16
- 刊出日期: 2021-09-16

AUTOMATIC IDENTIFICATION OF DYNAMIC PROPERTIES OF COMPLEX ENGINEERING STRUCTURES BASED ON DISTRIBUTED SYNCHRONOUS ACQUISITION METHOD

Harbin Institute of Technology (Shenzhen), Shenzhen 518056, China

摘要

摘要: 近年来我国工程建设的总体规模、建设速度以及工程的复杂性和难度前所未有，大型复杂结构在复杂程度、结构形式和体系等方面超出结构设计规范，已有的工程验证方法存在局限性和技术瓶颈，单独运用理论方法、数值模拟和实验室试验不能解决复杂结构的工程验证问题，这对把握真实施工和服役环境中大型复杂结构性能提出了技术挑战。针对高层建筑和大跨度桥梁等复杂工程结构，提出了基于分布式同步采集和移动传感的响应数据获取方法，通过自动随机子空间方法在线识别结构模态参数，为解读运营状态下工程结构行为的力学机理奠定基础。
- 自动随机子空间识别 /
- 模态参数 /
- 分布式同步采集 /
- 移动传感
Abstract: In recent years, the overall scale, construction speed, complexity and difficulty of engineering construction in China are unprecedented. Large-scale complex structures have exceeded the structural design specifications in terms of complexity, structural form and system. The existing engineering verification methods have limitations and technical bottlenecks, the use of theoretical methods, numerical simulations, and laboratory tests cannot solve the engineering verification problem of complex structures. A technical challenge for understanding the performance of large-scale complex structures in real construction and service environments was proposed. For complex engineering structures such as high-rise buildings and long-span bridges, the paper proposed the distributed synchronous acquisition and mobile sensing data acquisition method. The automatic stochastic subspace method was used to identify structural modal parameters. It could lay a solid foundation for the interpretation of the mechanical mechanism of engineering structure behaviors under operating conditions.
- automatic stochastic subspace identification /
- modal parameters /
- distributed synchronous acquisition /
- mobile sensing

HTML全文

参考文献(10)

[1]	谢壮宁, 徐安, 魏琏, 等. 深圳京基100风致响应实测研究[J]. 建筑结构学报, 2016, 37(6):93-100.
[2]	HE Y, HAN X, LI Q, et al. Monitoring of Wind Effects on 600 m High Ping:An Finance Center During Typhoon Haim[J]. Engineering Structures, 2018, 167(15):308-326.
[3]	HUANG Y, GU M, HUANG Z. Field Measurements of Dynamic Properties of a Supertall Building During Construction of an Adjacent Supertall Building[J]. Journal of Structural Engineering, 2019, 145(11):1-8.
[4]	XIONG H B, CAO J X, ZHANG F L, et al. Investigation of the SHM-Oriented Model and Dynamic Characteristics of a Super-Tall Building[J]. Smart Structures and Systems, 2019, 23(3):295-306.
[5]	KIJEWSKI-CORREA T, KWON D K, KAREEM A, et al. SmartSync:An Integrated Real-Time Structural Health Monitoring and Structural Identification System for Tall Buildings[J]. Journal Structural Engineering, 2013, 139(10):1675-1687.
[6]	HU W H, SAID S, ROHRMANN R, et al. Continuous Dynamic Monitoring of a Prestressed Concrete Bridge Based on Strain, Inclination and Crack Measurements Over a 14-Year Span[J]. Structural Health Monitoring, 2018, 17(5):1073-1094.
[7]	PEETERS B. System Identification and Damage Detection in Civil Engineering[D]. Belgium:Katholieke Unversiteit Leuven, 2000.
[8]	TENG J, TANG D H, HU W H, et al. Automated Modal Analysis for Tracking Structural Change During Construction and Operation Phases[J]. Sensors, 2019, 19:1-23.
[9]	卞晓晗. 基于分布式同步采集的高层结构动力特性研究[D]. 哈尔滨:哈尔滨工业大学, 2018.
[10]	袁小杰. 基于移动监测的缆索承重桥梁结构劣化识别方法研究[D]. 哈尔滨:哈尔滨工业大学, 2019.