複合式非破壞檢測結合牛頓擺錘機構於防落石衝擊構材之消能評估

MULTI-PHYSICAL NON-DESTRUCTIVE MEASUREMENT TECHNIQUE ASSOCIATED WITH NEWTON'S CRADLE APPARATUS TO EVALUATE THE ROCKFALL IMPACT-ENERGY-ABSORBING MATERIAL

陳韋志(Wei-Chih Chen) ； 陳立憲(Li-Hsien Chen) ； 許嘉勛(Chia-Hsun Hsu)

《中國土木水利工程學刊》 31卷7期 (2019/11) Pp. 635-641

https://doi.org/10.6652/JoCICHE.201911_31(7).0004

摘要

為減少落石災害，明隧道或落石棚為常用之落石防護工法，本研究為檢驗明隧道消能構材（發泡聚苯乙烯，EPS）之消能率，自行設計開發多功能牛頓擺錘衝擊試驗儀，結合接觸式與非接觸式量測系統，進行相關消能材料驗效之系列實驗；其中接觸式量測以荷重計、加速度計所組成，非接觸式量測則以光學影像分析技術為之。研究成果顯示，將實驗量測之衝擊力與加速度比對理論解，可得良好之驗證；而本研究所使用EPS密度為35 kg/m^3，試體尺寸為50 × 50 × 50 mm與75 × 75 × 75 mm之消能率分別為67%與72%。

關鍵字

多功能牛頓擺錘 ； 衝擊試驗 ； 影像分析 ； 消能材料

並列摘要

To prevent the rockfall disaster, the Rock Shed with energy-absorbing system have been usually used. This study developed a new test method using Newton's Cradle apparatus coupled with contact and non-contact dynamic measuring systems to examine the energy-absorbing efficiency when Expanded Polystyrene (EPS) subjected to rockfall impact force. The contact measuring system was consisted of accelerometer and dynamic load cell, and the non-contact system was established using optical image analysis technique. The test results showed that the measured acceleration and impact force has a good agreement with that from theoretical solution. In addition, the energy-absorbing rate of 67% and 72% with respect to different test specimen size was investigated.

並列關鍵字

newton's cradle ； impact test ； image analysis ； energy-absorbed material

參考文獻

岸德光,佐藤昌志,中野修(1995).三層緩衝構造緩衝性能的大型野外實驗.構造工學論文集.41A,1257-1265.

佐藤昌志,岸德光,松岡健一(1996).三層緩衝構造傳達衝撃力計算公式化.構造工學論文集.42A,1337-1346.

Yang, Y. S.,Huang, C. W.,Wu, C. l.(2012).A simple image‐based strain measurement method for measuring the strain fields in an RC ‐ wall experiment.Earthquake Engineering & Structural Dynamics.41(1),1-17.

Bouguet, J. Y., “Camera calibration toolbox for matlab,” http://www.vision.caltech.edu/bouguetj/calib_doc/index.html (2004).

Thielicke, W.,Stamhuis, E. J.(2014).PIVlab – towards user-friendly, affordable and accurate digital particle image velocimetry in MATLAB.Journal of Open Research Software.2(1)