日本地球惑星科学連合2023年大会

講演情報

[E] オンラインポスター発表

セッション記号 S (固体地球科学) » S-SS 地震学

[S-SS05] Natural hazards and uncertainty: Informing societal decisions

2023年5月25日(木) 10:45 〜 12:15 オンラインポスターZoom会場 (14) (オンラインポスター)

コンビーナ:Matt Gerstenberger(GNS Science)、Schorlemmer Danijel(GFZ German Research Centre for Geosciences)、平田 直(国立大学法人東京大学地震研究所)、Ma Kuo-Fong(Institute of Geophysics, National Central University, Taiwan, ROC)

現地ポスター発表開催日時 (2023/5/24 17:15-18:45)

10:45 〜 12:15

[SSS05-P04] Building responses extracted from low-cost and robust sensors: An example from the QSIS seismic netowrk in Tawian

*Wen-Tzong Liang1、Utpal Kumar2Kuo-Fong Ma1 (1.Institute of Earth Sciences, Academia Sinica, Taiwan、2.Berkeley Seismological Laboratory, University of California, Berkeley, CA, USA)

キーワード:building response, structural health monitoring, low-cost seismic network, QSIS, seismic risk assessment

To understand the building response and to monitor the structural integrity, we have extracted the building response, shaking intensity, spectral ratio and associated resonance parameters from the seismic records by the newly developed QSIS (Quake Structure Integrity Sensor) Seismic Network (QSN). The development of QSN aims to support the community with an affordable and reliable building health monitoring system, which is composed of three primary components of low-cost and high-sensitivity sensor devices, data acquisition system and web data services. After shaker testing with standard seismometer, the collected acceleration records has been proven to be reliable with a root-mean-square noise level of 0.15 gal. Both the dominant resonance frequencies and the building response extracted from QSN by using the seismic interferometry and spectral ratio methods can reveal the seismic wavefield in the building, which can be used to characterize the shaking behavior of the building. With the design of QSN, the building monitoring for seismic risk assessment and the rapid array mobilization for aftershocks become easier for researchers. This network can be applied to build up experimental shaking relationships for any building types and give in-time alerts for residents or organizations.