Szczegóły publikacji
Opis bibliograficzny
A semi-analytical approach to design a transducer for selective wave generation / Mateusz GAWROŃSKI, Mateusz MISZCZYŃSKI, Paulina ZBYRAD, Tadeusz STEPINSKI, Tadeusz UHL, Jerzy LIS, Paweł PAĆKO // W: EWSHM 2016 [Dokument elektroniczny] : 8th European Workshop on Structural Health Monitoring : 5–8 July 2016, Spain, Bilbao. — Wersja do Windows. — Dane tekstowe. — [Spain : s. n.], [2016]. — e-ISBN: 978-151082793-6. — S. [1–8]. — Wymagania systemowe: Adobe Reader. — Tryb dostępu: https://goo.gl/ybRlwo [2016-09-20]. — Bibliogr. s. [8], Abstr.
Autorzy (7)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 100281 |
|---|---|
| Data dodania do BaDAP | 2016-09-27 |
| Rok publikacji | 2016 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Konferencja | 8th European Workshop on Structural Health Monitoring |
Abstract
Piezoelectric transducers are the most common choice for elastic waves based Structural Health Monitoring and Non-destructive Testing systems. Apart from signal processing techniques, actuators and sensors play a significant role in damage detection, evaluation and localization problems. In structural components multimodal, dispersive guided waves exist. Although potentially attractive due to multiple features that can be possibly used for damage detection, multimodal and dispersive nature of propagation results in substantial complexity of data analysis. Hence, transducers allowing for selective wave generation and/or acquisition are sought. In the present work a semi-analytical approach for wavefield prediction is presented. The method makes use of analytically calculated spectral characteristics, i.e. dispersion and excitability curves, and a numerical model of a transducer. For a selected excitation signal and given transducers shape the resulting displacement field can be calculated effectively. Also, given a goal function, e.g. a selective excitation of a guided wave mode, stress field exerted by the transducer can be calculated through an inverse problem solution. The approach makes use of an analytical technique combined with a numerical integration techniques, hence can be effectively used in identification problems. The method formulation, implementation and test cases are shown.
