Data analysis and prediction of ground vibrations due to deep vibro-techniques

• Published in: Geotechnical research 2020-12, Vol.7 (4), p.244-257
• Main Authors: Weng, Leong Kam, Yohannes, Mikias M, Chong, William
• Format: Article
• Language: English
• ISSN: 2052-6156; 2052-6156
• DOI: 10.1680/jgere.20.00016

Deep vibro-techniques impart vibrations into the ground to achieve targeted improvement. One of the common geotechnical challenges of these techniques is the question of how vibration attenuates over distance and its effect on nearby structures. In this paper, ground vibration data from several deep vibro-technique projects with different vibrators are analysed. Best-fit estimates of the field data are evaluated through analytical regression, and comparisons of the field data against requirements from some standard codes of practice for admissible vibrations are made. A preliminary estimate of ground vibration levels can be obtained from the empirical relations of vibrator energy and distance. Such an assessment, when coupled with the monitoring and collection of actual field data, should enable further predictions to be more refined. In addition to analysing ground vibration data, predictions of ground vibration and comparisons of theoretical predictions against regressions of the field data are demonstrated. Average estimates of soil profile and strengths are included in the evaluations as well. Suggestions for better predictability of ground vibrations are also given. Moreover, recommendations for safe working distances from existing structures or services are made for different types of vibrators and vibro-techniques.