A composite experimental dynamic substructuring method based on partitioned algorithms and localized Lagrange multipliers
• Presentation of main heterogeneous (numerical/physical) online/offline dynamic substructuring simulation methods. • Presentation of stable parallel and staggered partitioned coupling algorithms. • Statistical characterization of errors due to both operators and sensors. • Comparison of the perform...
Ausführliche Beschreibung
Autor*in: |
Abbiati, Giuseppe [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2018 |
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Schlagwörter: |
Composite experimental dynamic substructuring |
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Umfang: |
28 |
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Übergeordnetes Werk: |
Enthalten in: Species loss from land use of oil palm plantations in Thailand - Jaroenkietkajorn, Ukrit ELSEVIER, 2021, mssp, Amsterdam [u.a.] |
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Übergeordnetes Werk: |
volume:100 ; year:2018 ; day:1 ; month:02 ; pages:85-112 ; extent:28 |
Links: |
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DOI / URN: |
10.1016/j.ymssp.2017.07.020 |
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Katalog-ID: |
ELV044020163 |
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10.1016/j.ymssp.2017.07.020 doi GBV00000000000356.pica (DE-627)ELV044020163 (ELSEVIER)S0888-3270(17)30384-9 DE-627 ger DE-627 rakwb eng 570 630 VZ BIODIV DE-30 fid Abbiati, Giuseppe verfasserin aut A composite experimental dynamic substructuring method based on partitioned algorithms and localized Lagrange multipliers 2018 28 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Presentation of main heterogeneous (numerical/physical) online/offline dynamic substructuring simulation methods. • Presentation of stable parallel and staggered partitioned coupling algorithms. • Statistical characterization of errors due to both operators and sensors. • Comparison of the performances of heterogeneous substructuring methods in terms of error statistics. • Use of their exploitation in a complementary way to speed up the overall simulation. Composite experimental dynamic substructuring Elsevier Partitioned algorithms Elsevier Localized Lagrange multipliers Elsevier Uncertainty propagation Elsevier Online/offline substructuring methods Elsevier La Salandra, Vincenzo oth Bursi, Oreste S. oth Caracoglia, Luca oth Enthalten in Elsevier Jaroenkietkajorn, Ukrit ELSEVIER Species loss from land use of oil palm plantations in Thailand 2021 mssp Amsterdam [u.a.] (DE-627)ELV007151810 volume:100 year:2018 day:1 month:02 pages:85-112 extent:28 https://doi.org/10.1016/j.ymssp.2017.07.020 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA AR 100 2018 1 0201 85-112 28 |
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A composite experimental dynamic substructuring method based on partitioned algorithms and localized Lagrange multipliers |
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• Presentation of main heterogeneous (numerical/physical) online/offline dynamic substructuring simulation methods. • Presentation of stable parallel and staggered partitioned coupling algorithms. • Statistical characterization of errors due to both operators and sensors. • Comparison of the performances of heterogeneous substructuring methods in terms of error statistics. • Use of their exploitation in a complementary way to speed up the overall simulation. |
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• Presentation of main heterogeneous (numerical/physical) online/offline dynamic substructuring simulation methods. • Presentation of stable parallel and staggered partitioned coupling algorithms. • Statistical characterization of errors due to both operators and sensors. • Comparison of the performances of heterogeneous substructuring methods in terms of error statistics. • Use of their exploitation in a complementary way to speed up the overall simulation. |
abstract_unstemmed |
• Presentation of main heterogeneous (numerical/physical) online/offline dynamic substructuring simulation methods. • Presentation of stable parallel and staggered partitioned coupling algorithms. • Statistical characterization of errors due to both operators and sensors. • Comparison of the performances of heterogeneous substructuring methods in terms of error statistics. • Use of their exploitation in a complementary way to speed up the overall simulation. |
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