TopSTO: a 115-line code for topology optimization of structures under stationary stochastic dynamic loading

Sebastian Pozo, Fernando Gomez, Thomas Golecki, Juan Carrion, Billie F. Spencer

Research output: Contribution to journalArticlepeer-review

Abstract

The use of topology optimization in structural design under dynamic excitation is becoming more prevalent in the literature. While many such applications utilize frequency or time domain formulations, relatively few consider stochastic dynamic excitations. This paper presents an efficient and compact code called TopSTO for structural topology optimization considering stationary stochastic dynamic loading using a method derived from random vibration theory. The theory, described in conjunction with the implementation in the provided code, is illustrated for a seismically excited building. This work demonstrates the efficiency of the approach in terms of both the computational resources and minimal amount of code required. This code is intended to serve as a baseline for understanding the theory and implementation of this topology optimization approach and as a foundation for additional applications and developments.

Original languageEnglish (US)
Pages (from-to)1081-1100
Number of pages20
JournalEarthquake Engineering and Engineering Vibration
Volume22
Issue number4
DOIs
StatePublished - Oct 2023

Keywords

  • matlab
  • python
  • stochastic dynamics
  • topology optimization

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction
  • Geotechnical Engineering and Engineering Geology
  • Mechanical Engineering

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