scholarly journals Comparison of Signal-Analysis Techniques for Seismic Detection System for High-Speed Train Data: Effect of Bridge Structures

Sensors ◽  
2020 ◽  
Vol 20 (23) ◽  
pp. 6805
Author(s):  
Mintaek Yoo ◽  
Jae Sang Moon
Keyword(s):  
High Speed ◽  
Detection System ◽  
Warning System ◽  
Data Sets ◽  
Acceleration Data ◽  
Bridge Structures ◽  
High Speed Trains ◽  
Analysis System ◽  
Data Analysis System ◽  
Short Time

This study evaluated the earthquake warning system for high-speed trains using onboard accelerometers instead of expensive seismometers. Onboard accelerometers measure the train data additional to the earthquake acceleration. The measured earthquake acceleration could also be modified by railroad-supporting bridges. To develop the data analysis system, the virtual onboard data sets are synthesized using the train acceleration data and earthquake data. Not only the earthquake acceleration data but also the earthquake responses of bridges are used for the virtual onboard data synthesis. For the analysis of synthesized data, the short-time Fourier Transform (STFT), the wavelet transform (WT), and Wigner–Ville Distribution (WVD) methods have been compared. Results show that WVD provides the best detection performance while the computational costs are large.

scholarly journals Sistem Penegakan Speed Bump Berdasarkan Kecepatan Kendaraan yang Diklasifikasikan Haar Cascade Classifier

2019 ◽  
Vol 7 (1) ◽  
pp. 12-18
Author(s):  
Muhammad Zulfikri ◽  
Erni Yudaningtyas ◽  
Rahmadwati Rahmadwati
Keyword(s):  
High Speed ◽  
Road Traffic ◽  
Detection System ◽  
Warning System ◽  
Detection Accuracy ◽  
Cascade Classifier ◽  
Car Detection ◽  
Speed Measurement ◽  
Haar Cascade ◽  
Safety Limit

Driving at high speed is among the frequent causes of accidents. In this research, a warning system was developed to warn drivers when their speed beyond the safety limit. Haar cascade classifier was proposed for the detection system which comprises Haar features, integral image, AdaBoost learning, and cascade classifier. The system was implemented using Python OpenCV library and evaluated on road traffic video collected in one way traffic. As a result, the proposed method yields 97.92% of car detection accuracy in daylight and MSE of 2.88 in speed measurement.

Ground vibration induced by high-speed trains on bridge structures

Noise Notes ◽  
2013 ◽  
Vol 12 (2) ◽  
pp. 3-14
Author(s):  
Yit-Jin Chen ◽  
Ting-Jui Chiu ◽  
Kuo-Yen Chen
Keyword(s):  
High Speed ◽  
Ground Vibration ◽  
Bridge Structures ◽  
High Speed Trains

An Investigation of the Convergence of Average Peak Accelerations for High-Speed Planing Craft

2021 ◽  
Author(s):  
Michael R. Riley ◽  
Heidi P. Murphy ◽  
Brock W. Aron
Keyword(s):  
High Speed ◽  
Cumulative Distribution ◽  
Data Sets ◽  
Peak Acceleration ◽  
Multiple Sources ◽  
Data Set ◽  
Distribution Shape ◽  
Acceleration Data ◽  
Rough Water ◽  
The Stability

This paper summarizes the results of an investigation of the convergence of average peak accelerations as more and more peaks are recorded during rough-water trials of small high-speed craft. Existing guidance from multiple sources suggest that more peaks is better, but how much more, and what engineering rationale should substantiate the answer? To address the question, simplified equations and numerous examples of peak acceleration data sets are presented. The results demonstrate that convergence of the average of the highest 10 percent of peaks (A1/10), and the average of the highest 1 percent of peaks (A1/100), and the ratio means that the shape of the cumulative distribution of the data set becomes more stable as the number of peak acceleration data points increases. A simple percent difference criterion is presented for quantifying the stability of the cumulative distribution shape.

scholarly journals Justification of the bridge span vertical stiffness on high-speed railways

2019 ◽  
Vol 135 ◽  
pp. 03065 ◽  
Author(s):  
Leonid Diachenko ◽  
Andrey Benin
Keyword(s):  
Traffic Safety ◽  
High Speed ◽  
Movement Pattern ◽  
Passenger Car ◽  
Vertical Stiffness ◽  
Safety Requirements ◽  
Girder Bridges ◽  
Bridge Span ◽  
Bridge Structures ◽  
High Speed Trains

When designing bridges on high-speed railways, special attention should be paid to ensuring the safety of train traffic and the comfort of passengers. Excessive structure deformations (both elastic and non-elastic) result in unfavorable irregularities in the train movement pattern on the bridge and so can lead to violation of the traffic safety requirements as well as to vibration and acceleration of the train body, which is inadmissible due to its effect on the human body or the transported goods. In this paper, based on numerical simulation, the results of the study of the motion of a high-speed train along bridge structures of the dynamic bridgetrain interaction was performed with respect to various models of high-speed trains running along the bridges. The obtained dependences help to provide a practical assessment of high-speed passenger car dynamics and passenger comfort under the most unfavorable conditions, when the train is running along a multi-span bridge. For these purposes, the dependences of the admissible value of the relative vertical deflection are presented, based on the envelope curves that show the typical dynamic passenger car parameters (natural frequency of car oscillations) and Corresponding with their oscillations on the multi-span girder bridges with various lengths

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