钢框架结构地震破坏诊断及震后残余能力评价研究

With the rapid development of urbanization in China, a large number of steel buildings have been built at metropolitan areas with high seismicity. After great earthquakes, stakeholders and occupants of these buildings are seriously challenged in earthquake emergency management due to the lack of information regarding the state of the buildings. Delays in the post-earthquake damage and safety estimations of the buildings significantly increase unnecessary disorder. Thus, it is essential to develop the techniques of damage evaluation and safety assessment for the earthquake-affected buildings. This research presents a novel method of rapidly evaluating seismic damage and residual capacity for steel moment-resisting frame buildings using piezoelectric strain sensor and wireless sensor network technologies. This research focuses on the extraction of damage index, the estimation of damage extent, and the assessment of structural residual capacity. Theoretical analysis, numerical simulation and experimental investigation are used in this study. The highlights of the research are that the proposed method is capable of identifying the existence, location, and extent of seismic damage to beam-column connections in steel moment-resisting frames, and providing the information about the residual capacity of damaged structures for decision-making. The most significant impact of the research on the society’s welfare shall be the decrease of unnecessary disorder in economic and social recovery following devastating earthquakes. Moreover, this research would promote intelligent management for earthquake emergency.

随着我国城市化的不断推进，不少多层及高层钢框架结构住宅和办公楼等重要建筑在高烈度地震区的各大中城市已建成。为了实现震后房屋建筑的使用功能快速恢复和城市地震应急智能化管理，研发房屋建筑地震损伤识别及安全性评估技术具有重要意义。本项目针对钢框架结构，根据其结构特性和震害特点，利用压电薄膜应变传感器和无线传感器网络技术，提出了钢框架结构地震破坏诊断及震后残余抗震能力评估方法。本项目采用理论分析、数值模拟和实验验证相结合的研究方法，重点对破坏指标的计算、破坏程度的识别、及结构残余抗震能力的评价等关键性问题进行研究。本项目的亮点在于，能快速诊断钢框架结构中被监测的楼层的梁端是否存在地震破坏，若存在破坏，则快速识别破坏的位置及程度，同时定量评估破坏结构的残余抗震能力，供地震后应急决策参考。本项目的研究成果能有效地减轻强震造成的城市中社会经济秩序混乱，推动城市地震应急管理体系朝智能化水平发展。

随着我国城市化的不断推进，不少多层及高层钢框架结构住宅和办公楼等重要建筑在高烈度地震区的各大中城市已建成。为了满足韧性城市建设需要，实现震后房屋建筑的使用功能快速恢复和城市地震应急智能化管理，研发房屋建筑地震损伤识别及安全性评估技术具有重要意义。本项目针对钢框架结构，根据其结构特性和震害特点，利用压电薄膜应变传感器和无线传感器网络技术，提出了钢框架结构地震破坏诊断及震后残余抗震能力评估方法。本项目重点对破坏指标的计算、破坏程度的识别、及结构残余抗震能力的评价等关键性问题进行了深入研究。本项目的亮点在于，能快速诊断钢框架结构中被监测的楼层的梁端是否存在地震破坏，若存在破坏，则快速识别破坏的位置及程度，同时定量评估破坏结构的残余抗震能力，供地震后应急决策参考。本项目的研究成果能有效地减轻强震造成的城市中社会经济秩序混乱，推动城市地震应急管理体系朝智能化水平发展。