Damage Identification in Large‐Scale Bridge Girders Using Output‐Only Modal Flexibility–Based Deflections and Span‐Similar Virtual Beam Models Article Swipe
Ngoc Thach Le
,
Andy Nguyễn
,
Tommy H.T. Chan
,
David Thambiratnam
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1155/2024/4087831
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1155/2024/4087831
Damage identification (DI) methods using changes in static and modal flexibility (MF)–based deflections are effective tools to assess the damage in beam‐like structures due to the explicit relationships between deflection change and stiffness reduction caused by damage. However, current methods developed for statically determinate beams require the calculation of mathematical scalar functions which do not exist in statically indeterminate beams and limit their application mainly to single‐span bridges and cantilever structures. This paper presents an enhanced deflection‐based damage identification (DBDI) method that can be applied to both statically determinate and indeterminate beams, including multispan girder bridges. The proposed method utilises the deflections obtained either from static tests or proportional defections extracted from output‐only vibration tests. Specifically, general mathematical relationships between deflection change and relative deflection change with respect to the damage characteristics are established. From these, additional damage‐locating criteria are proposed to help distinguish undamaged spans from the damaged ones and to identify the damage location within the damaged span. Notably, a span‐similar virtual beam (SSVB) model concept is introduced to quantify the damage and make this task straightforward without the need to calculate complicated mathematical formulae. This model only requires information of the beam span length, which can be conveniently and accurately obtained from a real structure. The robustness of the method is tested through a series of case studies from a numerical two‐span beam to a benchmark real slab‐on‐girder bridge as well as a complex large‐scale box girder bridge (BGB). The results of these studies, including the minimal verification errors within five percent observed in the real bridge scenario, demonstrate that the proposed method is robust and can serve as a practical tool for structural health monitoring (SHM) of important highway bridges.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1155/2024/4087831
- OA Status
- gold
- Cited By
- 1
- References
- 46
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https://openalex.org/W4404433911Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1155/2024/4087831Digital Object Identifier
- Title
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Damage Identification in Large‐Scale Bridge Girders Using Output‐Only Modal Flexibility–Based Deflections and Span‐Similar Virtual Beam ModelsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-01-01Full publication date if available
- Authors
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Ngoc Thach Le, Andy Nguyễn, Tommy H.T. Chan, David ThambiratnamList of authors in order
- Landing page
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https://doi.org/10.1155/2024/4087831Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1155/2024/4087831Direct OA link when available
- Concepts
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Structural engineering, Girder, Modal, Span (engineering), Bridge (graph theory), Beam (structure), Engineering, Flexibility (engineering), Modal analysis, Computer science, Finite element method, Materials science, Mathematics, Composite material, Internal medicine, Medicine, StatisticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
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2024: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.well | 233 |
| abstract_inverted_index.with | 126 |
| abstract_inverted_index.(SHM) | 279 |
| abstract_inverted_index.beams | 44, 59 |
| abstract_inverted_index.exist | 55 |
| abstract_inverted_index.limit | 61 |
| abstract_inverted_index.modal | 9 |
| abstract_inverted_index.model | 166, 188 |
| abstract_inverted_index.paper | 72 |
| abstract_inverted_index.serve | 270 |
| abstract_inverted_index.span. | 159 |
| abstract_inverted_index.spans | 145 |
| abstract_inverted_index.tests | 106 |
| abstract_inverted_index.their | 62 |
| abstract_inverted_index.these | 245 |
| abstract_inverted_index.tools | 15 |
| abstract_inverted_index.using | 4 |
| abstract_inverted_index.which | 52, 197 |
| abstract_inverted_index.(BGB). | 241 |
| abstract_inverted_index.(DBDI) | 79 |
| abstract_inverted_index.(SSVB) | 165 |
| abstract_inverted_index.Damage | 0 |
| abstract_inverted_index.assess | 17 |
| abstract_inverted_index.beams, | 91 |
| abstract_inverted_index.bridge | 231, 240, 259 |
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| abstract_inverted_index.change | 30, 121, 125 |
| abstract_inverted_index.damage | 19, 77, 130, 154, 173 |
| abstract_inverted_index.either | 103 |
| abstract_inverted_index.errors | 251 |
| abstract_inverted_index.girder | 94, 239 |
| abstract_inverted_index.health | 277 |
| abstract_inverted_index.mainly | 64 |
| abstract_inverted_index.method | 80, 98, 212, 265 |
| abstract_inverted_index.robust | 267 |
| abstract_inverted_index.scalar | 50 |
| abstract_inverted_index.series | 217 |
| abstract_inverted_index.static | 7, 105 |
| abstract_inverted_index.tested | 214 |
| abstract_inverted_index.tests. | 114 |
| abstract_inverted_index.these, | 135 |
| abstract_inverted_index.within | 156, 252 |
| abstract_inverted_index.applied | 84 |
| abstract_inverted_index.between | 28, 119 |
| abstract_inverted_index.bridges | 67 |
| abstract_inverted_index.changes | 5 |
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| abstract_inverted_index.concept | 167 |
| abstract_inverted_index.current | 38 |
| abstract_inverted_index.damage. | 36 |
| abstract_inverted_index.damaged | 148, 158 |
| abstract_inverted_index.general | 116 |
| abstract_inverted_index.highway | 282 |
| abstract_inverted_index.length, | 196 |
| abstract_inverted_index.methods | 3, 39 |
| abstract_inverted_index.minimal | 249 |
| abstract_inverted_index.percent | 254 |
| abstract_inverted_index.require | 45 |
| abstract_inverted_index.respect | 127 |
| abstract_inverted_index.results | 243 |
| abstract_inverted_index.studies | 220 |
| abstract_inverted_index.through | 215 |
| abstract_inverted_index.virtual | 163 |
| abstract_inverted_index.without | 179 |
| abstract_inverted_index.However, | 37 |
| abstract_inverted_index.Notably, | 160 |
| abstract_inverted_index.bridges. | 95, 283 |
| abstract_inverted_index.criteria | 138 |
| abstract_inverted_index.enhanced | 75 |
| abstract_inverted_index.explicit | 26 |
| abstract_inverted_index.identify | 152 |
| abstract_inverted_index.location | 155 |
| abstract_inverted_index.observed | 255 |
| abstract_inverted_index.obtained | 102, 203 |
| abstract_inverted_index.presents | 73 |
| abstract_inverted_index.proposed | 97, 140, 264 |
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| abstract_inverted_index.relative | 123 |
| abstract_inverted_index.requires | 190 |
| abstract_inverted_index.studies, | 246 |
| abstract_inverted_index.utilises | 99 |
| abstract_inverted_index.benchmark | 228 |
| abstract_inverted_index.calculate | 183 |
| abstract_inverted_index.developed | 40 |
| abstract_inverted_index.effective | 14 |
| abstract_inverted_index.extracted | 110 |
| abstract_inverted_index.formulae. | 186 |
| abstract_inverted_index.functions | 51 |
| abstract_inverted_index.important | 281 |
| abstract_inverted_index.including | 92, 247 |
| abstract_inverted_index.multispan | 93 |
| abstract_inverted_index.numerical | 223 |
| abstract_inverted_index.practical | 273 |
| abstract_inverted_index.reduction | 33 |
| abstract_inverted_index.scenario, | 260 |
| abstract_inverted_index.stiffness | 32 |
| abstract_inverted_index.undamaged | 144 |
| abstract_inverted_index.vibration | 113 |
| abstract_inverted_index.accurately | 202 |
| abstract_inverted_index.additional | 136 |
| abstract_inverted_index.cantilever | 69 |
| abstract_inverted_index.defections | 109 |
| abstract_inverted_index.deflection | 29, 120, 124 |
| abstract_inverted_index.introduced | 169 |
| abstract_inverted_index.monitoring | 278 |
| abstract_inverted_index.robustness | 209 |
| abstract_inverted_index.statically | 42, 57, 87 |
| abstract_inverted_index.structural | 276 |
| abstract_inverted_index.structure. | 207 |
| abstract_inverted_index.structures | 22 |
| abstract_inverted_index.two‐span | 224 |
| abstract_inverted_index.application | 63 |
| abstract_inverted_index.beam‐like | 21 |
| abstract_inverted_index.calculation | 47 |
| abstract_inverted_index.complicated | 184 |
| abstract_inverted_index.deflections | 12, 101 |
| abstract_inverted_index.demonstrate | 261 |
| abstract_inverted_index.determinate | 43, 88 |
| abstract_inverted_index.distinguish | 143 |
| abstract_inverted_index.flexibility | 10 |
| abstract_inverted_index.information | 191 |
| abstract_inverted_index.structures. | 70 |
| abstract_inverted_index.(MF)–based | 11 |
| abstract_inverted_index.conveniently | 200 |
| abstract_inverted_index.established. | 133 |
| abstract_inverted_index.mathematical | 49, 117, 185 |
| abstract_inverted_index.proportional | 108 |
| abstract_inverted_index.verification | 250 |
| abstract_inverted_index.Specifically, | 115 |
| abstract_inverted_index.indeterminate | 58, 90 |
| abstract_inverted_index.large‐scale | 237 |
| abstract_inverted_index.output‐only | 112 |
| abstract_inverted_index.relationships | 27, 118 |
| abstract_inverted_index.single‐span | 66 |
| abstract_inverted_index.identification | 1, 78 |
| abstract_inverted_index.span‐similar | 162 |
| abstract_inverted_index.characteristics | 131 |
| abstract_inverted_index.straightforward | 178 |
| abstract_inverted_index.damage‐locating | 137 |
| abstract_inverted_index.deflection‐based | 76 |
| abstract_inverted_index.slab‐on‐girder | 230 |
| cited_by_percentile_year.max | 94 |
| cited_by_percentile_year.min | 90 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 4 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/11 |
| sustainable_development_goals[0].score | 0.6499999761581421 |
| sustainable_development_goals[0].display_name | Sustainable cities and communities |
| citation_normalized_percentile.value | 0.61812316 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |