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In simple words, a vibration is a rapid back and forth motion. Construction activities causes vibrations which generate different body and surface waves. These waves travel through the soil or rock medium, affecting adjacent structures and activities.
Natural vibrations can be generated by earthquakes, landslides, avalanches, wind and others.
Some sources of construction vibrations are:
Therefore, vibratory pile driving, and vibratory compaction are characterized as steady-state vibrations. On the other hand, impact pile driving, deep dynamic compaction, and blasting are transient vibrations.
Vibrations can cause structural damage on buildings, such as cracking of foundation walls and masonry elements. Several cases are reported in literature concerning failure of railway embankments due to train induced ground vibrations (Pando et al. 2001). A unique failure of a road embankment occurred on Highway 94 in Michigan's Upper Peninsula during a deep reflection study. The seismic signals were generated by six 22-ton trucks and caused ground vibrations that liquefied the embankment soil, causing a flow slide and the collapse of a 91-m section of the embankment (Hryciw et al., 1990).
Vibration monitoring can be implemented for:
The first step for a successful monitoring process is to identify the key parameters of the problem under consideration. This will allow to plan the monitoring campaign; define the required instrumentation, the position of the measurement points, and the measurement schedule.
The next step is to install the monitoring system, check its functionality and perform a pre-construction condition survey. The pre-construction condition survey should be performed after excavation and dewatering in order to separate damage from construction activities and dynamic sources.
A pre-construction condition survey is a crucial to further assess the effect of the construction vibrations to the adjacent structures. It consists of the documentation of existing cracks and all other damage; analysis of the probable causes of existing damage; addressing the damage susceptibility of adjacent structures; determination of the mitigation measures of the effects on adjacent structures; and measurement of the background vibrations.
During the implementation of the monitoring campaign, the measurements are collected, processed and reported at predefined intervals. With the data in hand, it is important to assess the problem under consideration and evaluate the monitoring campaign.
The raw signal, measured in vibration monitoring, shows the instantaneous vibration velocity, which fluctuates positively and negatively about the zero point.
The most common parameter used in vibration monitoring is the Peak Particle Velocity (PPV), which is the maximum speed of a particular particle as it oscillates about a point of equilibrium. PPV indicates whether damage is likely to occur to surrounding structures, since the strain induced in the ground during vibration is proportional to the particle velocity.
Another parameter used is the root mean square (RMS) velocity, which is the square root of the average of the squared amplitude of the signal, typically calculated over a one-second period. The RMS amplitude is used to describe the smoothed vibration amplitude, because the net average of a vibration signal is zero. The RMS amplitude is always less than the PPV and is always positive.
Ground vibration is typically measured with a sensor that produces an electrical signal that is proportional to the amplitude of the ground motion. The most widely used sensors for measuring ground motion are velocity transducers (seismometers) and acceleration transducers (accelerometers).
A geophone works using a coil of wire wrapped around a mass, suspended by a spring over a magnet. As the mass moves, the magnet moves the electrons through the wire coil producing an electrical signal.
An acceleration sensor consists of a piezoelectric crystal that has a seismic mass attached to it. When the ground experiences vibrations, the crystal is subjected to stress generating an electric signal.
The signal from a transducer is transmitted to a data logger, that continuously records data over time. Data loggers can host multiple sensors, since in a typical monitoring campaign many sensors are placed on different positions and measuring various parameters (deformation, stress, load and others).
Depending on the data logger type, the recorded data can either be directly transferred to a connected PC, either be downloaded to a storing device, or to be transmitted with telemetry at a central location or on the cloud. Nowadays, cloud platforms have become popular since they facilitate data management and allow for a real-time data processing and assessment from any screen and any location.Vibrations propagate through the ground predominantly by means of Rayleigh (surface) waves and secondarily by body (shear and compressional) waves. The amplitude of these waves diminishes with the distance from the source. The attenuation is attributed to the expansion of the wave front (geometrical attenuation), and to the energy dissipation within the soil itself (material damping).
Material damping is attributed to energy loss due to internal sliding of soil particles. It depends on soil type and increases linearly with frequency of vibration. Fluid motion in pores may also produce attenuation. Clays tend to exhibit higher damping than sandy soils. Wet sand attenuates less than dry sand because the combination of pore water and sand particles in wet sand does not subject compressional waves to as much attenuation by friction damping as does dry sand. Propagation of R-waves is moderately affected by the presence or absence of water. Frozen soil attenuates less than thawed soil (Amick, 1999).
Wave attenuation can be modelled with Wiss (1981) equation:
where:
Wiss equation can also be found normalized, combining the effects of distance from the source and imposed energy posed by impact or blasts. The attenuation rate, n, is a pseudo-attenuation coefficient that accounts for both geometric and material damping. Woods and Jedele (1985), from field construction data, proposed n=1.5 for component soils that can be dig with a shovel (most sands, sandy clays, silty clays, gravel, silts, weathered rock) and n=1.1 for hard soils that need a pick to break up (dense compacted sand, dry consolidated clay, consolidated glacial till, some exposed rock).
An alternate approach to describe the attenuation of ground vibration amplitude with distance is with Bornitz equation:
where:
This approach separates the effects of geometric and material damping. However, it can be only used in cases where the vibration amplitude is known at a reference point at a known distance from the source and when the type of propagating waves can be predicted with certainty. Values for the material damping coefficient can be found from relevant literature, connected to the material type and SPT values.
Watch for free "Implementing Effective Risk-Reduction Vibration Monitoring Programs" Webinar
Amick, H. (1999). Frequency-dependent soil propagation model. In Optomechanical Engineering and Vibration Control (Vol. 3786, pp. 72-80). SPIE
California Department of Transportation, CALTRANS. (2020). Transportation and Construction Vibration Guidance Manual.
Hryciw, R. D., Vitton, S., & Thomann, T. G. (1990). Liquefaction and flow failure during seismic exploration. Journal of Geotechnical Engineering, 116(12), 1881-1899.
Pando, M. A., Olgun, C. G., & Martin II, J. R. (2001). Liquefaction potential of railway embankments. (2001). International Conferences on Recent Advances in Geotechnical Earthquake Engineering and Soil Dynamics. 16.
Wiss, J. F. (1981). Construction vibrations: state-of-the-art. Journal of the Geotechnical Engineering Division, 107(2), 167-181.
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