EFFECTS OF MULTI-AXIS RANDOM VIBRATION ENVIRONMENTS ON FATIGUE-LIFE AND DURABILITY PREDICTIONS Article Swipe
One of the main features of a product is its capability to withstand harsh environments that may compromise \nits durability over time. Therefore, screening laboratory tests are usually performed in the early stages of the \nproduct development process to predict the fatigue life beforehand. In this context, random vibration testing has \nbecome one of the most frequently employed procedures to ensure the durability and suitability of a product \nduring its working life. Nowadays, the most performed tests are still single-axis shaker tests, due to cost of \nthe equipment and for their reduced complexity compared to a multi-axial tests. However, real working envi ronments almost always present a multi-axial loading condition. As a consequence, neglecting this aspect may \nlead to large errors in the estimation of the component durability and cause failures that can endanger equip ment and people during the product lifetime. International standards propose to excite the unit under test with \nsingle-axis excitations along different directions sequentially, in order to mimic a multi-axial vibration environ ment by means of single-axis testing procedures. In this scenario, this work presents a testing campaign where \nsequential single-axis testing procedures are studied and compared with multi-axial vibration environments. \nTests were run by taking advantage of the multi-axis shaker table available at the University of Ferrara, which \nis capable of exciting the unit under test along three independent translational degrees of freedom (DOFs). In \nparticular, a cantilever beam is studied in order to assess the fatigue behaviour and the durability of the specimen \nunder three different types of loading: 3 DOFs multi-axis uncorrelated vibration, a first sequential single-axis \nvibration and a second sequential single-axis vibration with inverted excitation sequence. Finally, the criticali ties of the matter are analysed, exposing the inadequacy of single-axis testing to validate components subjected \nto multiaxial vibration environments.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://hal.science/hal-04165642
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4392149444
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4392149444Canonical identifier for this work in OpenAlex
- Title
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EFFECTS OF MULTI-AXIS RANDOM VIBRATION ENVIRONMENTS ON FATIGUE-LIFE AND DURABILITY PREDICTIONSWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
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2023Year of publication
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2023-01-01Full publication date if available
- Authors
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Enrico Proner, Emiliano MucchiList of authors in order
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https://hal.science/hal-04165642Publisher landing page
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://hal.science/hal-04165642Direct OA link when available
- Concepts
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Durability, Vibration, Random vibration, Structural engineering, Vibration fatigue, Computer science, Materials science, Engineering, Acoustics, Physics, Composite materialTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.performed | 27, 71 |
| abstract_inverted_index.scenario, | 168 |
| abstract_inverted_index.screening | 22 |
| abstract_inverted_index.sequence. | 261 |
| abstract_inverted_index.standards | 137 |
| abstract_inverted_index.vibration | 46, 157, 185, 257, 282 |
| abstract_inverted_index.withstand | 12 |
| abstract_inverted_index.Therefore, | 21 |
| abstract_inverted_index.University | 200 |
| abstract_inverted_index.cantilever | 221 |
| abstract_inverted_index.capability | 10 |
| abstract_inverted_index.complexity | 87 |
| abstract_inverted_index.components | 279 |
| abstract_inverted_index.condition. | 104 |
| abstract_inverted_index.directions | 149 |
| abstract_inverted_index.durability | 18, 59, 121, 234 |
| abstract_inverted_index.estimation | 117 |
| abstract_inverted_index.excitation | 260 |
| abstract_inverted_index.frequently | 53 |
| abstract_inverted_index.inadequacy | 273 |
| abstract_inverted_index.laboratory | 23 |
| abstract_inverted_index.multi-axis | 194, 245 |
| abstract_inverted_index.multiaxial | 281 |
| abstract_inverted_index.neglecting | 108 |
| abstract_inverted_index.procedures | 55, 178 |
| abstract_inverted_index.sequential | 250, 255 |
| abstract_inverted_index.vibration, | 247 |
| abstract_inverted_index.beforehand. | 41 |
| abstract_inverted_index.development | 34 |
| abstract_inverted_index.excitations | 146 |
| abstract_inverted_index.independent | 213 |
| abstract_inverted_index.multi-axial | 91, 102, 156, 184 |
| abstract_inverted_index.procedures. | 165 |
| abstract_inverted_index.single-axis | 75, 163, 176, 256, 275 |
| abstract_inverted_index.suitability | 61 |
| abstract_inverted_index.consequence, | 107 |
| abstract_inverted_index.environments | 14 |
| abstract_inverted_index.of \nthe | 81 |
| abstract_inverted_index.uncorrelated | 246 |
| abstract_inverted_index.International | 136 |
| abstract_inverted_index.environments. | 283 |
| abstract_inverted_index.sequentially, | 150 |
| abstract_inverted_index.translational | 214 |
| abstract_inverted_index.may \nlead | 111 |
| abstract_inverted_index.which \nis | 203 |
| abstract_inverted_index.has \nbecome | 48 |
| abstract_inverted_index.the \nproduct | 33 |
| abstract_inverted_index.subjected \nto | 280 |
| abstract_inverted_index.In \nparticular, | 219 |
| abstract_inverted_index.compromise \nits | 17 |
| abstract_inverted_index.product \nduring | 64 |
| abstract_inverted_index.specimen \nunder | 237 |
| abstract_inverted_index.where \nsequential | 175 |
| abstract_inverted_index.with \nsingle-axis | 145 |
| abstract_inverted_index.environments. \nTests | 186 |
| abstract_inverted_index.single-axis \nvibration | 251 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 2 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/13 |
| sustainable_development_goals[0].score | 0.5099999904632568 |
| sustainable_development_goals[0].display_name | Climate action |
| citation_normalized_percentile.value | 0.27014953 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |