基於大眾智慧型手機量測層間位移之建築震後損傷評估研究

POST-EARTHQUAKE ESTIMATION OF BUILDING DAMAGE STATE USING INTERSTORY DRIFT MEASURED BY CONSUMER'S SMARTPHONES

10.6652/JoCICHE.202012_32(8).0007

劉政言(Cheng-Yen Liu)；翁琪婷(Chi-Ting Weng)；許丁友(Ting-Yu Hsu)；謝佑明(Yo-Ming Hsieh)

智慧型手機 ； 層間位移 ； 結構損傷評估 ； smartphone ； interstory drift ratio ； damage detection of buildings

中國土木水利工程學刊

32卷8期（2020 / 12 / 01）

733 - 741

繁體中文

本研究將透過建築物內之大眾智慧型手機量測加速度反應，並結合多項成熟之資訊科技技術，以解算各樓層的層間位移，並將最大層間位移比與該建築物容許的門檻值進行比較，即可決定該建築物可能的震損程度。然而，現實中之手機放置方向任意，且各手機內置時鐘並不一致。本研究提出利用訊號處裡技術將手機彼此方向對齊，並透過彼此網路時間校時達到時間同步，以降低計算層間位移的誤差。最後，本研究利用振動台試驗，驗證所提之方法。由試驗結果表明，判別結構損傷程度之準確率可達92%，因此利用大眾智慧型手機對建築物進行震後損傷評估應有其可行性。

This study measured the acceleration by consumer's smartphones in the buildings. Once the smartphones were triggered by an excitation, an embedded artificial neural network (ANN) model would classify whether the event was an earthquake or not within a few seconds. If the triggered motion was considered an earthquake event, then smartphones will record the whole vibration history of this event. After the earthquake event finished, the smartphones used a beacon micro-location technique to collect the location of the smartphones in the buildings more precisely and the relevant building information. Furthermore, the smartphones exchanged the vibration data with the smartphones on adjacent floors by Wi-Fi direct. Using the exchanged data, the smartphones could calculate interstory drifts on each floor. By comparing the maximum interstory drift ratio (IDR) to the preassigned threshold, the possible damage level of buildings during the earthquake could be estimated. However, the orientation of the smartphones is arbitrary and unknown. In addition, each smartphone's clock drifts with time. Therefore, this study dedicated to reducing the errors of the calculated interstory drift by employing signal process techniques and network time protocol (NTP) techniques to correct the orientations and to synchronize the clocks, respectively. Shaking table tests of a four-story steel building were conducted to verify the proposed methods. The results showed that the accuracy of damage detection of the building is 92%. Therefore, the proposed approach is quite feasible.

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