Detection and extraction of velocity pulses of near-fault ground motions using asymmetric Gaussian chirplet model. Issue 133 (June 2020)

• Record Type: Journal Article
• Authors: Sharbati, R.; Rahimi, R.; Koopialipoor, M.R.; Elyasi, N.; Khoshnoudian, F.; Ramazi, H.R.; Amindavar, H.R.
• Is Part Of: Soil dynamics and earthquake engineering. Issue 133(2020)
• Publication Date: 2020-06
• Subjects: Near-fault ground motion -- Velocity pulse -- Asymmetric Gaussian chirplet model -- Temporal and spectral nonstationarity -- Dominant frequency; Soil dynamics -- Periodicals; Earthquake engineering -- Periodicals; Sols -- Dynamique -- Périodiques; Génie parasismique -- Périodiques; 624.176205
• DOI: 10.1016/j.soildyn.2020.106123
• Languages: English
• ISSNs: 0267-7261

Abstract

Abstract: In this paper, a method which is based on the asymmetric Gaussian chirplet model (AGCM), adapted dictionary-free orthogonal matching pursuit (ADOMP) algorithm, and Newton method, is proposed for detection and extraction of velocity pulses. In the proposed method, the ADOMP algorithm and the Newton method find the most correlating AGCM atom at each iteration and optimize its amplitude over all of the already chosen atoms. The first chirplet atom detects the location of velocity pulse and its combination with adjacent atoms extracts the velocity pulse of near-fault ground motions. The proposed method simulates asymmetric waves, sharp and impulsive peaks of velocity pulses, successive positive or negative half cycles of velocity pulses, and multiple dominant frequency peaks of velocity pulses. Also because of optimized energy concentration of AGCM atoms, they extract high energy locations of velocity time histories accurately. The previous methods underestimate sharp peaks of velocity pulses, overestimate their smooth peaks, and consider a dominant frequency for each velocity pulse. According to the results, considering the dominant frequency of first chirplet atom as the pulse's frequency is not realistic. In the proposed model, the first chirplet atom extracts more than 70% of the energy of velocity pulses. So, it is sufficient to estimate the parameters of first chirplet atom as a function of seismological parameters to can generate synthetic velocity pulses for future seismic hazard scenarios. Graphical abstract: In this paper, a method for detection and extraction of velocity pulses of near-fault ground motions is proposed. In this method, the chirplet model named as the asymmetric Gaussian chirplet model (AGCM) is used to simulate high energy locations of velocity time histories. The location of first chirplet atom coincides with the location of real velocity pulse. The velocity pulse of near-fault ground motions is extracted by the sum of first chirplet atom with adjacent ones that have high energy. Because of high flexibility and optimized energy concentration of AGCM atoms, they extract high energy locations of velocity time histories accurately. The flowchart of the proposed method is given in the following figure. In this figure, envelop and frequency parts of ground motions are separately simulated by AGCM atoms. The parameters of envelop part are extracted by using the adapted dictionary-free orthogonal matching pursuit (ADOMP) algorithm, and the parameters of frequency part are extracted by using the Newton method. The block diagram of the proposed method. Image 1 Highlights: The asymmetric Gaussian chirplet model (AGCM) is used to detect and extract velocity pulses of near-fault ground motions. The first chirplet atom detects the location of velocity pulses and its combination with adjacent atoms extracts them. The AGCM atoms extract sharp and impulsive peaks, and multiple dominant frequency peaks of velocity pulses. BBecause of high flexibility, AGCM atoms extract high energy locations of velocity time histories accurately.