量度及預測隧道鑽機的土傳噪音及震動

在市區進行夜間隧道鑽挖工程所產生的土傳噪音及震動,容易引起投訴。現時的技術難以準確預測噪音及震動的級數,而隧道工程的進度也常因進行隧道鑽挖工程時產生過大的土傳噪音及震動而延誤。本文所提述的新技術,可以更準確地量度及預測鑽機震動強度及土壤傳震的特性@個技術包括測量單位衝擊力及隧道鑽機摩擦力所產生的震動級數鋵嵲珈?80於代,美國政府運輸部門(U.S.DeptofTransportationFederalTransitAdministrative)已研發相關的技術,並將該技術應用於鐵路土傳噪音量度及預測上。本文報告隧道鑽機所產生的土傳噪音及震動級數1/3倍頻帶數值的量度及預測。比較地面震動峰值速度(PPV)、最高(Lmax)噪聲和振動級數按快速和緩慢的時間常數和整體百分比(Percentile)數值列出。

Measurement and prediction of groundborne noise and vibration from a tunnel boring machine

A new empirical method for prediction of groundborne noise and vibration (GBN&V) in-duced by tunnel boring machine (TBM) has been developed. The method is based on empirical de-termination of ground vibration transmissibility and TBM vibration source strength. The method inclu-des measurements of ground vibration levels caused by unit force impacts and TBM operation at various setbacks. With these measured data, the ground vibration transfer mobility and TBM vibration source strength are determined separately. Prediction of TBM-induced GBN&V is performed by combining the determined TBM vibration source strength and the further measurement data of ground vibration transfer mobility by impacting in boreholes along the proposed tunnel alignment. Predicted GBN&V levels are presented in 1/3 octave spectrum at various setbacks from the tunnel alignment. Comparisons are given in predicted peak particle velocity (PPV), maximum noise and vibration levels in fast and slow time constant and overall percentile values (cumulative probability distributions).