StochasticGroundMotionSimulation

Ground-motion simulation via the Stochastic Method

https://github.com/pstafford/stochasticgroundmotionsimulation.jl

Science Score: 67.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 3 DOI reference(s) in README
  • Academic publication links
    Links to: zenodo.org
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (14.1%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Ground-motion simulation via the Stochastic Method

Basic Info
  • Host: GitHub
  • Owner: pstafford
  • Language: Julia
  • Default Branch: master
  • Size: 1.69 MB
Statistics
  • Stars: 7
  • Watchers: 1
  • Forks: 1
  • Open Issues: 0
  • Releases: 30
Created about 5 years ago · Last pushed 8 months ago
Metadata Files
Readme License Citation

README.md

StochasticGroundMotionSimulation

Stable Dev Build Status codecov DOI

Julia package to simulate response spectral ordinates via random vibration theory. The package also provides general functionality for working with Fourier amplitude spectra and duration models.

Package defines new custom types: - FourierParameters: representing the parameters of the Fourier amplitude spectrum - Oscillator: representing a single degree-of-freedom oscillator, and - RandomVibrationParameters: defining methods/models used for random vibration calculations

The FourierParameters type is constructed from three components: - SourceParameters: representing source properties, such as stress parameter, source velocity and density, etc - PathParameters: representing the path scaling. This component is itself comprised of three components: - GeometricSpreadingParameters: defines the geometric spreading model - NearSourceSaturationParameters: defines the near-source saturation model, and - AnelasticAttenuationParameters: defines the anelastic attenuation - SiteParameters: defines both the site amplification/impedance function and the site damping (via a kappa filter)

The package is developed in a manner to enable automatic differentiation operations to be performed via ForwardDiff.jl. This makes the package suitable for gradient-based inversions of ground-motion data, as well as inversions of published ground-motion models.

Installation

First, a working version of Julia needs to be installed. The relevant binary (or source code) can be downloaded from the Julia Downloads Page.

StochasticGroundMotionSimulation.jl is a registered package and can be installed directly from the package manager.

Within a Julia REPL session, access the package manager via ], and then at the pkg> prompt type (below the pkg> component is part of the prompt, so only the add ... portion is necessary). julia pkg> add StochasticGroundMotionSimulation

Usage

Within a Julia session, bring the functionality of StochasticGroundMotionSimulation.jl into scope by typing (here the julia> component represents the prompt within a REPL session, within a text editor, simply type using StochasticGroundMotionSimulation): julia julia> using StochasticGroundMotionSimulation

Accessing Help

Aside from the documentation accessible from the links at the top of this page, descriptions of methods and types within the package can be accessed within REPL sessions (or within Juno).

Within, a REPL session, enter ? to access the help prompt. Then, type the relevant item. For example:

julia help?> FourierParameters

Citing

See CITATION.bib for the relevant reference(s).

Owner

  • Name: Peter Stafford
  • Login: pstafford
  • Kind: user
  • Location: London, UK

Citation (CITATION.bib)

@misc{StochasticGroundMotionSimulation.jl,
	author  = {Peter J Stafford},
	title   = {StochasticGroundMotionSimulation.jl},
	url     = {https://github.com/pstafford/StochasticGroundMotionSimulation.jl},
	version = {v1.0.1},
	year    = {2021},
	month   = {4},
	doi     = {10.5281/zenodo.4667333}
}

GitHub Events

Total
  • Create event: 1
  • Commit comment event: 1
  • Release event: 1
  • Watch event: 2
  • Delete event: 1
  • Push event: 2
Last Year
  • Create event: 1
  • Commit comment event: 1
  • Release event: 1
  • Watch event: 2
  • Delete event: 1
  • Push event: 2

Committers

Last synced: almost 3 years ago

All Time
  • Total Commits: 156
  • Total Committers: 3
  • Avg Commits per committer: 52.0
  • Development Distribution Score (DDS): 0.064
Top Committers
Name Email Commits
Peter Stafford p****d@m****m 146
github-actions[bot] 4****]@u****m 9
CompatHelper Julia c****y@j****g 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 7 months ago

All Time
  • Total issues: 1
  • Total pull requests: 50
  • Average time to close issues: less than a minute
  • Average time to close pull requests: 5 days
  • Total issue authors: 1
  • Total pull request authors: 2
  • Average comments per issue: 40.0
  • Average comments per pull request: 0.66
  • Merged pull requests: 50
  • Bot issues: 0
  • Bot pull requests: 10
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • JuliaTagBot (1)
Pull Request Authors
  • pstafford (45)
  • github-actions[bot] (10)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • julia 7 total
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 33
juliahub.com: StochasticGroundMotionSimulation

Ground-motion simulation via the Stochastic Method

  • Versions: 33
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 7 Total
Rankings
Dependent repos count: 9.9%
Average: 34.4%
Dependent packages count: 38.9%
Forks count: 40.4%
Stargazers count: 48.5%
Last synced: 7 months ago

Dependencies

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