Impact of hybrid nanoparticle reinforcements on mechanical properties of Epoxy-Polylactic Acid (PLA) Composites
In this research, the variational mode decomposition (VMD) method is used for the drive-by health monitoring of bridges. Firstly, the problem of a half-trailer tractor moving over a bridge is formulated. Next, a Finite Element (FE) code is developed and verified against modal analysis results where...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Gruppo Italiano Frattura
2024-10-01
|
| Series: | Fracture and Structural Integrity |
| Subjects: | |
| Online Access: | https://www.fracturae.com/index.php/fis/article/view/5024/4074 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832543351626268672 |
|---|---|
| author | K. Dileep A. Srinath N.R. Banapurmath M. A. Umarfarooq Ashok M. Sajjan |
| author_facet | K. Dileep A. Srinath N.R. Banapurmath M. A. Umarfarooq Ashok M. Sajjan |
| author_sort | K. Dileep |
| collection | DOAJ |
| description | In this research, the variational mode decomposition (VMD) method is used for the drive-by health monitoring of bridges. Firstly, the problem of a half-trailer tractor moving over a bridge is formulated. Next, a Finite Element (FE) code is developed and verified against modal analysis results where complete agreement is found. The vehicle's output signals are decomposed through VMD and then analyzed to identify and precisely locate damage in the bridge structure. The range of applicability of this technique is examined from different perspectives by including various road classes, damage severity and location, and noise. The results prove the robustness and reliability of using VMD for drive-by damage detection. The method outcomes indicate that through the VMD method, cracks with a depth of 10% to 20% of the beam height can be detected even in the case of a rough road profile. A comparison of the results of the VMD and the well-known empirical mode decomposition (EMD) method has also been conducted. This comparison reveals that by implementing the VMD, precise damage locations can be determined, whereas the EMD fails to detect any damage under the conditions considered in this study. The effects of noise and moving vehicle speed are also investigated in the research, and it is found that processing the output signals using VMD can yield reliable estimates of the damage location(s). |
| format | Article |
| id | doaj-art-3459d64b5f8f4f45bf3ce0f8ba495dd9 |
| institution | Kabale University |
| issn | 1971-8993 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | Gruppo Italiano Frattura |
| record_format | Article |
| series | Fracture and Structural Integrity |
| spelling | doaj-art-3459d64b5f8f4f45bf3ce0f8ba495dd92025-02-03T11:47:31ZengGruppo Italiano FratturaFracture and Structural Integrity1971-89932024-10-0118709110410.3221/IGF-ESIS.70.0510.3221/IGF-ESIS.70.05Impact of hybrid nanoparticle reinforcements on mechanical properties of Epoxy-Polylactic Acid (PLA) CompositesK. DileepA. SrinathN.R. BanapurmathM. A. UmarfarooqAshok M. SajjanIn this research, the variational mode decomposition (VMD) method is used for the drive-by health monitoring of bridges. Firstly, the problem of a half-trailer tractor moving over a bridge is formulated. Next, a Finite Element (FE) code is developed and verified against modal analysis results where complete agreement is found. The vehicle's output signals are decomposed through VMD and then analyzed to identify and precisely locate damage in the bridge structure. The range of applicability of this technique is examined from different perspectives by including various road classes, damage severity and location, and noise. The results prove the robustness and reliability of using VMD for drive-by damage detection. The method outcomes indicate that through the VMD method, cracks with a depth of 10% to 20% of the beam height can be detected even in the case of a rough road profile. A comparison of the results of the VMD and the well-known empirical mode decomposition (EMD) method has also been conducted. This comparison reveals that by implementing the VMD, precise damage locations can be determined, whereas the EMD fails to detect any damage under the conditions considered in this study. The effects of noise and moving vehicle speed are also investigated in the research, and it is found that processing the output signals using VMD can yield reliable estimates of the damage location(s).https://www.fracturae.com/index.php/fis/article/view/5024/4074hybrid nanocompositesmechanical testingsem |
| spellingShingle | K. Dileep A. Srinath N.R. Banapurmath M. A. Umarfarooq Ashok M. Sajjan Impact of hybrid nanoparticle reinforcements on mechanical properties of Epoxy-Polylactic Acid (PLA) Composites Fracture and Structural Integrity hybrid nanocomposites mechanical testing sem |
| title | Impact of hybrid nanoparticle reinforcements on mechanical properties of Epoxy-Polylactic Acid (PLA) Composites |
| title_full | Impact of hybrid nanoparticle reinforcements on mechanical properties of Epoxy-Polylactic Acid (PLA) Composites |
| title_fullStr | Impact of hybrid nanoparticle reinforcements on mechanical properties of Epoxy-Polylactic Acid (PLA) Composites |
| title_full_unstemmed | Impact of hybrid nanoparticle reinforcements on mechanical properties of Epoxy-Polylactic Acid (PLA) Composites |
| title_short | Impact of hybrid nanoparticle reinforcements on mechanical properties of Epoxy-Polylactic Acid (PLA) Composites |
| title_sort | impact of hybrid nanoparticle reinforcements on mechanical properties of epoxy polylactic acid pla composites |
| topic | hybrid nanocomposites mechanical testing sem |
| url | https://www.fracturae.com/index.php/fis/article/view/5024/4074 |
| work_keys_str_mv | AT kdileep impactofhybridnanoparticlereinforcementsonmechanicalpropertiesofepoxypolylacticacidplacomposites AT asrinath impactofhybridnanoparticlereinforcementsonmechanicalpropertiesofepoxypolylacticacidplacomposites AT nrbanapurmath impactofhybridnanoparticlereinforcementsonmechanicalpropertiesofepoxypolylacticacidplacomposites AT maumarfarooq impactofhybridnanoparticlereinforcementsonmechanicalpropertiesofepoxypolylacticacidplacomposites AT ashokmsajjan impactofhybridnanoparticlereinforcementsonmechanicalpropertiesofepoxypolylacticacidplacomposites |