The Effect of Highway Vibration to The Hills Slope Stability by an Integrated GPS-Vibration Data Processing

Ruchlihadiana, Tisnasendjaja Achmad; Z., Abidin Hasanuddin; A., Sarsito Dina; A., Sadisun Imam; Irwan, Gumilar · 2019 · DOAJ

DOI: 10.1051/e3sconf/20199401017

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Summary

This study investigates the impact of continuous highway vehicle vibrations on the stability of adjacent hillside slopes, focusing on the Cipularang toll road in Indonesia. The motivation stems from the high volume of traffic, including frequent congestion and a significant proportion of overloaded vehicles, which generate repeated vibrations that may disturb slope stability. The research aims to determine if these vibrations cause measurable displacement in the surrounding geological formations. To address this, the authors employed an integrated data processing approach combining Global Navigation Satellite System (GNSS) observations and vibration measurements. Data acquisition was conducted simultaneously at six monitoring points installed on the hillsides beside the highway. GNSS data were collected using dual-frequency receivers in a static mode with a 5-second interval over a 4-hour duration, while vibration data were recorded using triaxial LSM6DS3 accelerometers. The study specifically analyzed two focal points: ‘msjd97’, located at the edge of the toll road, and ‘kbn1’, situated 1.4 km away in the center of the research area. The core methodology involved Empirical Mode Decomposition (EMD), a nonlinear technique used to decompose nonstationary signals into intrinsic mode functions. This allowed for the separation of complex signal components to identify hidden patterns and isolate displacement caused by vibration from other noise sources. The results demonstrated that both GNSS position variations and vibration sensor readings exhibited changes corresponding to vehicle activity. The EMD analysis of GNSS data revealed acceleration variations in the east, north, and up components, which were interpreted as indications of vibration influence on the slope material. Similarly, the decomposition of triaxial vibration data confirmed variations linked to vehicle passage. The study concluded that simultaneous observations confirmed the occurrence of both GNSS-measured position changes and vibration-induced material slope movements at the monitored points. The significance of this work lies in its demonstration of a method for monitoring slope stability using integrated GPS and vibration data processed via EMD. By linking vehicle-induced vibrations to measurable slope displacement, the study provides a framework for assessing the long-term impact of heavy traffic on geological structures. The findings suggest that continuous monitoring is necessary to fully understand the extent of vibration-induced instability, offering a basis for future studies on infrastructure safety and slope management in high-traffic areas.

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