Full Dynamic Compound Inverse Method for seismic output-only element-level and input identification: Unitary formulation and extensive validation
| Autor: | Fabio Pioldi, Egidio Rizzi |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Earthquake engineering
Computer science 0211 other engineering and technologies Aerospace Engineering 020101 civil engineering 02 engineering and technology Element-level system identification 0201 civil engineering Consistency (database systems) Modal dynamic identification Settore ICAR/08 - Scienza delle Costruzioni Closing (morphology) Civil and Structural Engineering 021110 strategic defence & security studies Signal processing Earthquake input time history estimation Full Dynamic Compound Inverse Method (FDCIM) Operational Modal Analysis (OMA) Control and Systems Engineering Signal Processing Mechanical Engineering Noise (signal processing) System identification Computer Science Applications Identification (information) Structural health monitoring Algorithm |
| Zdroj: | Mechanical Systems and Signal Processing. 111:580-614 |
| ISSN: | 0888-3270 |
| DOI: | 10.1016/j.ymssp.2018.04.013 |
| Popis: | The present work develops a unitary formulation of a novel deterministic output-only system identification and input estimation technique named Full Dynamic Compound Inverse Method (FDCIM) and outlines a systematic investigation on its consistent adoption within seismic engineering, by considering specific aspects of Signal Processing and producing a complete statistical evaluation. The achieved comprehensive FDCIM technique successfully estimates, all together: modal properties, element-level structural characteristics and earthquake input time history. Here, previous detached seminal contributions are first rejoined, in order to deal with various forms of structural viscous damping. Then, a wide database of ten selected real seismic excitations is taken into account to generate a set of synthetic earthquake-induced structural response signals, from a benchmark low-rise three-storey shear-type frame and from a realistic mid-rise ten-storey building. Such synthetic signals, possibly affected by noise of a controlled amount, are successfully processed via FDCIM and the achieved results demonstrate, as a first necessary validation condition, the consistency of the present identification algorithm toward potential Structural Health Monitoring purposes within the earthquake engineering range. Finally, a closing validation is proposed with the use of real earthquake-induced response signals, from an instrumented case study out of the CESMD database, with rather promising identification outcomes. |
| Databáze: | OpenAIRE |
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