Structural Health Monitoring Techniques

Stochastic subspace techniques applied to parameter identification of civil engineering structures

Bart Peeters, Guido De Roeck, Tom Pollet, Luc Schueremans

Feb 18, 2026 | 48 citations

Abstract

Abstract

One class of the recently developed subspace identification algorithms identifies stochastic linear time-invariant systems. Therefore these algorithms are useful for the determination of the modal parameters of a vibrating structure excited by unmeasured ambient loading. After the introduction, the stochastic subspace identification technique is explained. The relation between on the one hand, the model of the vibrating structure and on the other hand, the stochastic system model is made clear. As a side result of this relation the modal parameters are extracted from the system matrices. Finally the technique is applied to experimental data generated under both laboratory and in-situ conditions.

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Authors

Researchers on this paper

Bart Peeters

first | ORCID 0000-0002-0355-3693

Guido De Roeck

middle | ORCID 0000-0003-0293-1514

Tom Pollet

middle

Luc Schueremans

last

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Citation

BibTeX

@article{Peeters2026Stochastic,
  title = {Stochastic subspace techniques applied to parameter identification of civil engineering structures},
  author = {Bart Peeters and Guido De Roeck and Tom Pollet and Luc Schueremans},
  year = {2026},
  doi = {10.1201/9781003761655_ch13},
  url = {https://doi.org/10.1201/9781003761655_ch13}
}

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