Abstract
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.
Highlights
Korea used to be known as an earthquake-free zone
We provide the short-time Fourier Transform (STFT), wavelet transform (WT), and Wigner–Ville Distribution (WVD) results for the train response superimposed with 3 earthquake data sets and associated bridgeresponse
The seismic accelerations and associated bridge responses were superimposed with the train acceleration data to generate virtual earthquake observation data in the train
Summary
Korea used to be known as an earthquake-free zone. that notion changed with the Gyeongju earthquake of 2016 (ML = 5.8) [1] and the Pohang earthquake of 2017 (ML = 5.4) [2]. The current KTX (Korea Train Express) earthquake warning system detects earthquakes using seismic acceleration sensors installed at railroad facilities. They notify engineers by wire so that they can decide what to do [3]. Installing and maintaining seismic acceleration sensors at all railroad facilities and track locations would require unrealistically high costs and manpower. The most well-known earthquake early warning system for the train system is the Urgent Earthquake Detection and Alarm System (UrEDAS) of Shinkansen in Japan [4,5]. UrEDAS provides early warning based on P-waves approaching railways. The UrEDAS could provide early warning, this system still requires high costs to install the seismic stations near railways. The development of a new concept is required to minimize the costs and maximize the performance of the earthquake detection and warning system
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