Uncertainty Propagation and Global Sensitivity Analysis of a Surface Acoustic Wave Gas Sensor Using Finite Elements and Sparse Polynomial Chaos Expansions
The aim of this work is to perform an uncertainty propagation and global sensitivity analysis of a surface acoustic wave (SAW) gas sensor using finite elements and sparse polynomial chaos. The SAW gas sensor is modeled using finite elements (FEM) under COMSOL, and the sensitivity to DCM of its Sezaw...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-08-01
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| Series: | Vibration |
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| Online Access: | https://www.mdpi.com/2571-631X/6/3/38 |
| _version_ | 1827723005928669184 |
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| author | Mohamed Hamdaoui |
| author_facet | Mohamed Hamdaoui |
| author_sort | Mohamed Hamdaoui |
| collection | DOAJ |
| description | The aim of this work is to perform an uncertainty propagation and global sensitivity analysis of a surface acoustic wave (SAW) gas sensor using finite elements and sparse polynomial chaos. The SAW gas sensor is modeled using finite elements (FEM) under COMSOL, and the sensitivity to DCM of its Sezawa mode is considered to be the quantity of interest. The importance of several geometrical (width and PIB thickness), material (PIB Young’s modulus and density), and ambient (pressure, temperature, and concentration) parameters on the sensor’s sensitivity is figured out by means of Sobol’ indices using sparse polynomial chaos expansions. It is shown that when the variability of the input parameters is low (inferior to 5%), the only impacting parameter is the cell width. However, when the variability of the input parameters reaches medium levels (around 10%), all the input parameters except the ambient temperature are impacting the sensor’s sensitivity. It is also reported that in the medium variability case, the sensor’s sensitivity experiences high variations that can lead to a degradation of its performances. |
| first_indexed | 2024-03-10T21:52:12Z |
| format | Article |
| id | doaj.art-166f4390c3b74d4a90a2fb233173e757 |
| institution | Directory Open Access Journal |
| issn | 2571-631X |
| language | English |
| last_indexed | 2024-03-10T21:52:12Z |
| publishDate | 2023-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Vibration |
| spelling | doaj.art-166f4390c3b74d4a90a2fb233173e7572023-11-19T13:21:23ZengMDPI AGVibration2571-631X2023-08-016361062410.3390/vibration6030038Uncertainty Propagation and Global Sensitivity Analysis of a Surface Acoustic Wave Gas Sensor Using Finite Elements and Sparse Polynomial Chaos ExpansionsMohamed Hamdaoui0LEM3 UMR 7239, Universite de Lorraine, 7 Rue Felix Savart, 57000 Metz, FranceThe aim of this work is to perform an uncertainty propagation and global sensitivity analysis of a surface acoustic wave (SAW) gas sensor using finite elements and sparse polynomial chaos. The SAW gas sensor is modeled using finite elements (FEM) under COMSOL, and the sensitivity to DCM of its Sezawa mode is considered to be the quantity of interest. The importance of several geometrical (width and PIB thickness), material (PIB Young’s modulus and density), and ambient (pressure, temperature, and concentration) parameters on the sensor’s sensitivity is figured out by means of Sobol’ indices using sparse polynomial chaos expansions. It is shown that when the variability of the input parameters is low (inferior to 5%), the only impacting parameter is the cell width. However, when the variability of the input parameters reaches medium levels (around 10%), all the input parameters except the ambient temperature are impacting the sensor’s sensitivity. It is also reported that in the medium variability case, the sensor’s sensitivity experiences high variations that can lead to a degradation of its performances.https://www.mdpi.com/2571-631X/6/3/38surface acoustic wavegas sensorsparse polynomial chaosSobol’ indicesglobal sensitivity analysis |
| spellingShingle | Mohamed Hamdaoui Uncertainty Propagation and Global Sensitivity Analysis of a Surface Acoustic Wave Gas Sensor Using Finite Elements and Sparse Polynomial Chaos Expansions Vibration surface acoustic wave gas sensor sparse polynomial chaos Sobol’ indices global sensitivity analysis |
| title | Uncertainty Propagation and Global Sensitivity Analysis of a Surface Acoustic Wave Gas Sensor Using Finite Elements and Sparse Polynomial Chaos Expansions |
| title_full | Uncertainty Propagation and Global Sensitivity Analysis of a Surface Acoustic Wave Gas Sensor Using Finite Elements and Sparse Polynomial Chaos Expansions |
| title_fullStr | Uncertainty Propagation and Global Sensitivity Analysis of a Surface Acoustic Wave Gas Sensor Using Finite Elements and Sparse Polynomial Chaos Expansions |
| title_full_unstemmed | Uncertainty Propagation and Global Sensitivity Analysis of a Surface Acoustic Wave Gas Sensor Using Finite Elements and Sparse Polynomial Chaos Expansions |
| title_short | Uncertainty Propagation and Global Sensitivity Analysis of a Surface Acoustic Wave Gas Sensor Using Finite Elements and Sparse Polynomial Chaos Expansions |
| title_sort | uncertainty propagation and global sensitivity analysis of a surface acoustic wave gas sensor using finite elements and sparse polynomial chaos expansions |
| topic | surface acoustic wave gas sensor sparse polynomial chaos Sobol’ indices global sensitivity analysis |
| url | https://www.mdpi.com/2571-631X/6/3/38 |
| work_keys_str_mv | AT mohamedhamdaoui uncertaintypropagationandglobalsensitivityanalysisofasurfaceacousticwavegassensorusingfiniteelementsandsparsepolynomialchaosexpansions |