摘要 本研究依據台灣高鐵沿線橋樑結構及土層之特徵,量測高鐵於淺基礎在卵礫石層、淺基礎在岩盤、深基礎在軟弱土層、深基礎在岩盤、及深基礎在卵礫石層等五類之地盤振動。針對五種分類分別探討列車速度、橋樑體積、土層種類、基礎型式、頻率因素及振波傳遞之影響。 離高鐵路線基準位置(25 m)之振動量方面,列車速度、土層種類及基礎型式對於基準位置振動量之影響相當明顯,約在7~9 dB左右;但橋樑體積對於基準位置振動量之影響較低,約在6 dB左右。在頻率因素,硬地盤之控制頻率大多集中於10 Hz至63 Hz之間,而軟弱地盤之控制頻率則多集中於3.15 Hz至10 Hz之間。振波傳遞方面(至約200 m),淺基礎之衰減係數一般大於深基礎之衰減係數。淺基礎使用整體振動量之衰減係數範圍為0.0015~0.0023 (1/m),而深淺基礎使用整體振動量之衰減係數範圍為0.0006~0.0021 (1/m)。 根據基準位置振動量及振波傳遞之探討,本研究建議一套初步推估遠距離振動量之簡易評估模組,可藉由已知之車速、土層種類、基礎型式及橋樑體積等資料推估離高鐵路線不同距離之振動量。本簡易評估模組並與實際量測之振動量比較,其誤差在合理範圍。
ABSTRACT This research evaluates the influence parameters of ground vibration induced by high-speed trains on bridge structures. These parameters consist of train speed, volume of bridge structure, soil condition, foundation type, frequency, and wave propagation. A wide variety of ground vibration measurement data were established for analysis, and these are divided into shallow foundation in gravel, shallow foundation in rock, deep foundation in alluvium, deep foundation in rock, and deep foundation in gravel based on the characteristics of bridge structures and soil conditions along Taiwan high-speed rail. For the evaluation of ground vibration at near-field (25 m), it is found that the influence of train speed, soil condition, and foundation type are obvious with the difference of vibration level around 7~9 dB. However, the effect of bridge structure to the vibration is somehow not so obvious and it is about 6 dB. Meanwhile, the dominant vibration frequencies concentrate on 10~63 Hz for hard ground, while they are 3.15~10 Hz for soft ground. For wave propagation (about 200 m), the statistics show that the attenuation coefficients in shallow foundations generally are greater than those in deep foundations. The ranges of attenuation coefficients are 0.0015~0.0023 (1/m) and 0.0006~0.0021 (1/m) for shallow foundation and deep foundation, respectively. Finally, this research suggests a simple evaluation model to predict the far-field ground vibration from a given condition of train speed, volume of bridge structure, soil condition, and foundation type. The results of this suggested model were verified using field measurement data.