TESTING OF EEW ALGORITHMS USING MODEL SYSTEMS

Abstract

Earthquake Early Warning (EEW) system is a basic approach of detection of any seismic event and issuing of timely warning to establishments and targets where potential damage due to earthquake is more. EEW system can be most effective if the spatial relationship between the city and the source is effectively maintained and the public is well trained to respond to earthquake crisis. The EEW parameter average time period is checked for its algorithm in real time in the following thesis. To check EEW parameter's efficiency numerous structural models are prepared of various natural frequencies. The MotionNode accelerometer is used to get the acceleration values tested on these structures in real time. The programme is designed in C# such that it gives us the values of acceleration, velocity, displacement. It is also used to get average time period an EEW parameter and the values obtained is also stored as a text file. Single Degree Systems and Multi Degree Systems are studied and models are prepared of varying frequencies to test the EEW system algorithms. The real time data is obtained from the accelerometer to check the Earthquake Early Warning Parameters .The main study done in this thesis is variation of average time period calculated at various floors of MDOF system and its values are obtained by giving free vibration to system to oscillate at its natural frequency. The graph is plotted of the average time period of EEW parameter and it is compared with the natural period of the structure. The real time data is used to calculate the EEW parameters in real time and the algorithm of EEW is thus checked. The difference in the EEW time based parameter average time period for the various floors of the structures is also observed.