Javascript must be enabled to continue!
A Developed Jerk Sensor for Seismic Vibration Measurements: Modeling, Simulation and Experimental Verification
View through CrossRef
Acceleration-based sensors are widely used in indicating the severity of damage caused to structural buildings during dynamic events. The force rate of change is of interest when investigating the effect of seismic waves on structural elements, and hence the calculation of the jerk is necessary. For most sensors, the technique used for measuring the jerk (m/s3) is based on differentiating the time–acceleration signal. However, this technique is prone to errors especially in small amplitude and low frequency signals, and is deemed not suitable when online feedback is required. Here, we show that direct measurement of the jerk can be achieved using a metal cantilever and a gyroscope. In addition, we focus on the development of the jerk sensor for seismic vibrations. The adopted methodology optimized the dimensions of an austenitic stainless steel cantilever and enhanced the performance in terms of sensitivity and the jerk measurable range. We found, after several analytical and FE analyses, that an L-35 cantilever model with dimensions 35 × 20 × 0.5 (mm3) and a natural frequency of 139 (Hz) has a remarkable performance for seismic measurements. Our theoretical and experimental results show that the L-35 jerk sensor has a constant sensitivity value of 0.05 ((deg/s)/(G/s)) with ±2% error in the seismic frequency bandwidth of 0.1~40 (Hz) and for amplitudes in between 0.1 and 2 (G). Furthermore, the theoretical and experimental calibration curves show linear trends with a high correlation factor of 0.99 and 0.98, respectively. These findings demonstrate the enhanced sensitivity of the jerk sensor, which surpasses previously reported sensitivities in the literature.
Title: A Developed Jerk Sensor for Seismic Vibration Measurements: Modeling, Simulation and Experimental Verification
Description:
Acceleration-based sensors are widely used in indicating the severity of damage caused to structural buildings during dynamic events.
The force rate of change is of interest when investigating the effect of seismic waves on structural elements, and hence the calculation of the jerk is necessary.
For most sensors, the technique used for measuring the jerk (m/s3) is based on differentiating the time–acceleration signal.
However, this technique is prone to errors especially in small amplitude and low frequency signals, and is deemed not suitable when online feedback is required.
Here, we show that direct measurement of the jerk can be achieved using a metal cantilever and a gyroscope.
In addition, we focus on the development of the jerk sensor for seismic vibrations.
The adopted methodology optimized the dimensions of an austenitic stainless steel cantilever and enhanced the performance in terms of sensitivity and the jerk measurable range.
We found, after several analytical and FE analyses, that an L-35 cantilever model with dimensions 35 × 20 × 0.
5 (mm3) and a natural frequency of 139 (Hz) has a remarkable performance for seismic measurements.
Our theoretical and experimental results show that the L-35 jerk sensor has a constant sensitivity value of 0.
05 ((deg/s)/(G/s)) with ±2% error in the seismic frequency bandwidth of 0.
1~40 (Hz) and for amplitudes in between 0.
1 and 2 (G).
Furthermore, the theoretical and experimental calibration curves show linear trends with a high correlation factor of 0.
99 and 0.
98, respectively.
These findings demonstrate the enhanced sensitivity of the jerk sensor, which surpasses previously reported sensitivities in the literature.
Related Results
Sagittal and Frontal Plane Knee Angular Jerk Effects During Prolonged Load Carriage
Sagittal and Frontal Plane Knee Angular Jerk Effects During Prolonged Load Carriage
Introduction: Musculoskeletal injuries are a costly military problem that routinely
occur during training. Quantifying smoothness of knee motion, or angular knee jerk, m...
Dynamic stochastic modeling for inertial sensors
Dynamic stochastic modeling for inertial sensors
Es ampliamente conocido que los modelos de error para sensores inerciales tienen dos componentes: El primero es un componente determinista que normalmente es calibrado por el fabri...
Blades condition monitoring using shaft torsional vibration signals
Blades condition monitoring using shaft torsional vibration signals
PurposeThe purpose of this paper is to validate mathematically the feasibility of extracting the rotating blades vibration condition from the shaft torsional vibration measurement....
4D Seismic on Gullfaks
4D Seismic on Gullfaks
SUMMARY
New technologies are rapidly emerging helping to obtain optimal drainage of large reservoirs. 4D seismic is such a reservoir monitoring technique. The phy...
Seismic Frequency Enhancement for Mapping and Reservoir Characterization of Arab Formation: Case Study Onshore UAE
Seismic Frequency Enhancement for Mapping and Reservoir Characterization of Arab Formation: Case Study Onshore UAE
Abstract
Mapping and discrimination of Upper Jurassic Arab reservoirs (Arab A/B/C and D) in this 3D seismic onshore field of Abu Dhabi, is very sensitive to the seis...
Integrated Hydrocarbon Detection Based on Full Frequency Pre-Stack Seismic Inversion
Integrated Hydrocarbon Detection Based on Full Frequency Pre-Stack Seismic Inversion
Abstract
To improve the accuracy of hydrocarbon detection, seismic amplitude variation with offset (AVO), seismic amplitude variation with frequency (AVF), and direc...
Stochastic Rock Physics Inversion
Stochastic Rock Physics Inversion
Abstract
The purpose of this paper is to introduce a stochastic seismic inversion algorithm based on Markov Chain Monte Carlo Simulation. The suggested inversion ...
Verification of High Speed on Chip with VIP using System Verilog
Verification of High Speed on Chip with VIP using System Verilog
Abstract - The exploration work is addressing verification of High speed on chips protocol; we've used the system Verilog grounded test bench structure. I developed a system Verilo...

