pystrata.motion.TimeSeriesMotion

class pystrata.motion.TimeSeriesMotion(filename: str, description: str, time_step: float, accels, fa_length=None)

Time-series motion for time series based site response analysis.

__init__(filename: str, description: str, time_step: float, accels, fa_length=None)

Initialize the class from specified acceleration values.

The filename and description parameters are only used to help track the motion.

Parameters:

• filename (str) – Source of data

• description (str) – Description to store helpful information

• time_step (float) – Time step of the accleration values

• accels (array_like) – Accelerations in units of g

• fa_length (optional int) – Length to use for the Fourier amplitude spectrum. If not provided, will be automatically computed to the next power of 2.

Methods

__init__(filename, description, time_step, ...)	Initialize the class from specified acceleration values.
calc_arias_intensity([tf])
calc_cav([tf])
calc_osc_accels(osc_freqs[, osc_damping, tf])	Compute the pseudo-acceleration spectral response of an oscillator with a specific frequency and damping.
calc_peak([tf])
calc_pga([tf])
calc_pgv([tf])
calc_time_series([tf])
load_at2_file(filename[, scale])	Read an AT2 formatted time series.
load_smc_file(filename[, scale])	Read an SMC formatted time series.

Attributes

accels
angular_freqs
arias_intensity	Arias intensity [m/s].
cav	Cumulative absolute velocity [m/s].
description
filename
fourier_amps	Return the frequencies.
freqs	Return the frequencies.
pga	Peak ground acceleration [g]
pgv	Peak ground velocity [cm/sec].
time_step
times