Acquisition by microcomputer of some ground vibration data during pile driving

Author(s):  
Rune Storesund

This study performed a forensic evaluation of construction noise and ground vibration propagation to surrounding residential and commercial structures as a result of an urban drainage improvement construction project. Noise and vibration data collected during the course of the drainage project was first evaluated for conformance with the project specifications and data collection protocols. Construction equipment utilization logs were used to create a “time history” of daily maximum noise levels, which were contrasted with the maximum allowable per the project specifications. Attenuation relationships were used to delineate ground vibration extents and magnitudes propagating from the source to adjacent receptors (i.e., structures). The forensic engineer (FE) found significant deviations from the required data collection protocols and a high degree of “under-reporting.” Construction-induced noise and ground vibrations were determined to be “substantial factors of harm” to the adjacent structures.


2010 ◽  
Vol 39 (5) ◽  
pp. 290-299
Author(s):  
Shigeyuki FUJIMORI ◽  
Takatomo ARAKI ◽  
Takaharu KAWAI ◽  
Kiyoshi HAYAKAWA ◽  
Tadanori NISHIMURA

2013 ◽  
Vol 368-370 ◽  
pp. 1693-1696
Author(s):  
Ze Pei Xu ◽  
Xi Bing Li

Ground vibration caused by pile driving is a kind of mechanical vibration, and the research of its characteristics is the premise of the effect evaluation on surrounding environment. With the engineering example by the analysis of vibration monitoring, the results show that the vibration frequency is low, and there is a power function relationship between the vibration velocity and the distance from monitoring point to the pile. It can be used for impact evaluation of vibration according to the fitting equation.


2015 ◽  
Vol 38 (6) ◽  
pp. 20140275 ◽  
Author(s):  
Fanny Deckner ◽  
Kenneth Viking ◽  
Claire Guillemet ◽  
Staffan Hintze

Author(s):  
Hirad Shamimi Noori ◽  
Reza Shirinabadi ◽  
Ehsan Moosavi ◽  
Mehran Gholinejad

2015 ◽  
Vol 764-765 ◽  
pp. 644-648
Author(s):  
Yit Jin Chen ◽  
Chi Jim Chen

This paper presents an automatic prediction model for ground vibration induced by Taiwan high-speed trains on embankment structures. The prediction model is developed using different field-measured ground vibration data. The main characteristics that affect the overall vibration level are established based on the database of measurement results. The influence factors include train speed, ground condition, measurement distance, and supported structure. Support vector machine (SVM) algorithm, a widely used prediction model, is adopted to predict the vibration level induced by high-speed trains on embankments. The measured and predicted vibration levels are compared to verify the reliability of the prediction model. Analysis results show that the developed SVM model can reasonably predict vibration level with an accuracy rate of 72% to 84% for four types of vibration level, including overall, low, middle, and high frequency ranges. The methodology in developing the automatic prediction system for ground vibration level is also presented in this paper.


Heliyon ◽  
2018 ◽  
Vol 4 (8) ◽  
pp. e00726 ◽  
Author(s):  
Pubudu Jayawardana ◽  
R. Achuhan ◽  
G.H.M.J. Subashi De Silva ◽  
D.P. Thambiratnam

2012 ◽  
Vol 457-458 ◽  
pp. 325-329
Author(s):  
Luo Yi ◽  
Sen Wei Xia

It’s common to see the dispute caused by pile driving construction vibration effect, which has become a concern of social problems. The paper analyzes the mechanism and law of ground vibration caused by the pile driving construction. Combined with the engineering practice, discussion about the defects in the criteria of vibration detection is presented. It is necessary to do assessment study on impact of pile driving vibration on surrounding houses. Project practice indicates that application of assessment study on impact of pile driving vibration on surrounding houses is an effective management.


Sign in / Sign up

Export Citation Format

Share Document