### Resumé

Originalsprog | Engelsk |
---|---|

Titel | 8th International Operational Modal Analysis Conference (IOMAC 2019) |

Redaktører | Sandro D. R. Amador, Rune Brincker, Evangelos I. Katsanos, Manuel Lopez Aenlle, Pelayo Fernandez |

Forlag | IOMAC |

Publikationsdato | 2019 |

Sider | 421-424 |

ISBN (Trykt) | 9781510888333 |

ISBN (Elektronisk) | 9788409049004 |

Status | Udgivet - 2019 |

Begivenhed | 8th International Operational Modal Analysis Conference, IOMAC 2019 - Copenhagen, Danmark Varighed: 13. maj 2019 → 15. maj 2019 |

### Konference

Konference | 8th International Operational Modal Analysis Conference, IOMAC 2019 |
---|---|

Land | Danmark |

By | Copenhagen |

Periode | 13/05/2019 → 15/05/2019 |

Sponsor | Bruel and Kjaer, Gfai Tech, Siemens, Structural Vibration Solutions |

### Fingeraftryk

### Citer dette

*8th International Operational Modal Analysis Conference (IOMAC 2019)*(s. 421-424). IOMAC.

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*8th International Operational Modal Analysis Conference (IOMAC 2019).*IOMAC, s. 421-424, 8th International Operational Modal Analysis Conference, IOMAC 2019, Copenhagen, Danmark, 13/05/2019.

**Detection of nonlinear behavior using the Random Decrement Technique.** / Vesterholm, Karsten Krautwald; Brincker, Rune; Brandt, Anders.

Publikation: Bidrag til bog/antologi/rapport/konference-proceeding › Konferencebidrag i proceedings › Forskning › peer review

TY - GEN

T1 - Detection of nonlinear behavior using the Random Decrement Technique

AU - Vesterholm, Karsten Krautwald

AU - Brincker, Rune

AU - Brandt, Anders

PY - 2019

Y1 - 2019

N2 - This study investigates how the Random Decrement (RD) technique can be used as an output-only method of detecting nonlinear behavior. The proposed detection method is based on a grouping of the triggering points used in the RD calculation. The grouping is based on properties of the response signal at the triggering points, for instance the slope. Grouping the triggering points from the response of a system exhibiting nonlinear behavior in this way, causes the RD signatures calculated from the different groups of triggering points to have different properties. For a linear system, the grouping does not cause a change in the RD signatures, thus allowing the detection of nonlinear behavior. Linearity is assumed in operational modal analysis (OMA), but this assumption is not always valid, and the detection method proposed here could help confirm or reject the assumption.

AB - This study investigates how the Random Decrement (RD) technique can be used as an output-only method of detecting nonlinear behavior. The proposed detection method is based on a grouping of the triggering points used in the RD calculation. The grouping is based on properties of the response signal at the triggering points, for instance the slope. Grouping the triggering points from the response of a system exhibiting nonlinear behavior in this way, causes the RD signatures calculated from the different groups of triggering points to have different properties. For a linear system, the grouping does not cause a change in the RD signatures, thus allowing the detection of nonlinear behavior. Linearity is assumed in operational modal analysis (OMA), but this assumption is not always valid, and the detection method proposed here could help confirm or reject the assumption.

M3 - Article in proceedings

SN - 9781510888333

SP - 421

EP - 424

BT - 8th International Operational Modal Analysis Conference (IOMAC 2019)

A2 - Amador, Sandro D. R.

A2 - Brincker, Rune

A2 - Katsanos, Evangelos I.

A2 - Lopez Aenlle, Manuel

A2 - Fernandez, Pelayo

PB - IOMAC

ER -