Published March 10, 2023 | Version v1
Software Open

GPU-accelerated Building Motion Server

Kohler, Monica1 ORCID icon
Vazhaeparambil, Mariamma1
Garcia, Diego1
  • 1. ROR icon California Institute of Technology

Citation

Kohler, M., Vazhaeparambil, M., & Garcia, D. (2023). GPU-accelerated Building Motion Server. CaltechDATA. https://doi.org/10.22002/29w2n-bk910

Description

This software package consists of GPU-enabled algorithms to assess mid-rise building vibrational response in real time using observed acceleration data obtained directly from sensors. The algorithms perform Fast Fourier Transforms for spectrograms and resonant frequency analysis, and recursive, low-pass, low-order filtering for numerical integration for displacements and inter-story drift.  

Files

CaltechHall_Submission_2023.zip
Files (28.6 MB)
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CaltechHall_Submission_2023.zip
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Additional details

Funding Dates
Created:
March 10, 2023
Modified:
March 11, 2023