当前位置: X-MOL 学术Struct. Saf. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Localized health monitoring for seismic resilience quantification and safety evaluation of smart structures
Structural Safety ( IF 5.7 ) Pub Date : 2021-06-21 , DOI: 10.1016/j.strusafe.2021.102127
Esmaeel Asadi , Abdullahi M. Salman , Yue Li , Xiong Yu

Natural hazards such as earthquakes, hurricanes, and floods cause billions of dollars of economic loss and claim thousands of lives every year. Researchers have proposed various tools and techniques to evaluate, manage, and mitigate seismic risk and improve resilience. Nonetheless, given the uncertainties involved, accurate system assessment requires real-time data on structural health and performance which can be attained through structural health monitoring (SHM) systems. This paper integrates component-based resilience quantification methods and SHM techniques to present a new probabilistic framework for seismic structural system evaluation and decision analysis. A trilateral framework is introduced which (1) uses the data obtained from a localized wireless sensor network to detect and locate damage, (2) develops component-based functionality curves to quantify the seismic resilience of the structure, and (3) makes post-quake rapid decisions based on a multi-criteria safety evaluation method. A nonlinear autoregressive exogenous (ARX) model is used to identify structural response and a statistical damage-sensitive coefficient is used to detect, locate, and measure damage in the system. Minor damages due to corrosion and major damages due to past extreme events are studied in the functionality analysis. Two groups of archetype building structures located in a high seismic region are studied, namely steel diagrid and special reinforced concrete structures. The results show that maximum absolute floor acceleration is the most accurate demand parameter for locating damage whereas maximum floor displacement and interstory drift ratio can effectively detect and measure damages.



中文翻译:

智能结构抗震弹性量化与安全评估的局部健康监测

地震、飓风和洪水等自然灾害每年造成数十亿美元的经济损失并夺去数千人的生命。研究人员提出了各种工具和技术来评估、管理和减轻地震风险并提高弹性。尽管如此,鉴于所涉及的不确定性,准确的系统评估需要有关结构健康和性能的实时数据,这些数据可以通过结构健康监测 (SHM) 系统获得。本文将基于组件的弹性量化方法和 SHM 技术相结合,为抗震结构系统评估和决策分析提供了一个新的概率框架。引入了一个三边框架,它 (1) 使用从本地无线传感器网络获得的数据来检测和定位损坏,(2) 开发基于组件的功能曲线来量化结构的抗震弹性,以及 (3) 基于多标准安全评估方法做出震后快速决策。非线性自回归外生 (ARX) 模型用于识别结构响应,统计损伤敏感系数用于检测、定位和测量系统中的损伤。在功能分析中研究了腐蚀造成的轻微损坏和过去极端事件造成的重大损坏。研究了位于高地震区的两组原型建筑结构,即钢斜交格栅和特殊钢筋混凝土结构。

更新日期:2021-06-21
down
wechat
bug