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Calibrating Partial Factors – Methodology, Input Data and Case Study of Steel Structures
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| Zeitschriftentitel: | Periodica Polytechnica Civil Engineering |
|---|---|
| Personen und Körperschaften: | , , |
| In: | Periodica Polytechnica Civil Engineering, 2019 |
| Format: | E-Article |
| Sprache: | Unbestimmt |
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Periodica Polytechnica Budapest University of Technology and Economics
|
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Nadolski, Vitali Rózsás, Árpád Sýkora, Miroslav Nadolski, Vitali Rózsás, Árpád Sýkora, Miroslav |
|---|---|
| author |
Nadolski, Vitali Rózsás, Árpád Sýkora, Miroslav |
| spellingShingle |
Nadolski, Vitali Rózsás, Árpád Sýkora, Miroslav Periodica Polytechnica Civil Engineering Calibrating Partial Factors – Methodology, Input Data and Case Study of Steel Structures Geotechnical Engineering and Engineering Geology Civil and Structural Engineering |
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nadolski, vitali |
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Nadolski, Vitali Rózsás, Árpád Sýkora, Miroslav 1587-3773 0553-6626 Periodica Polytechnica Budapest University of Technology and Economics Geotechnical Engineering and Engineering Geology Civil and Structural Engineering http://dx.doi.org/10.3311/ppci.12822 <jats:p>Partial factors are commonly based on expert judgements and on calibration to previous design formats. This inevitably results in unbalanced structural reliability for different types of construction materials, loads and limit states. Probabilistic calibration makes it possible to account for plentiful requirements on structural performance, environmental conditions, production and execution quality etc. In the light of ongoing revisions of Eurocodes and the development of National Annexes, the study overviews the methodology of probabilistic calibration, provides input data for models of basic variables and illustrates the application by a case study. It appears that the partial factors recommended in the current standards provide for a lower reliability level than that indicated in EN 1990. Different values should be considered for the partial factors for imposed, wind and snow loads, appreciating the distinct nature of uncertainties in their load effects.</jats:p> Calibrating Partial Factors – Methodology, Input Data and Case Study of Steel Structures Periodica Polytechnica Civil Engineering |
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Periodica Polytechnica Civil Engineering |
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| title |
Calibrating Partial Factors – Methodology, Input Data and Case Study of Steel Structures |
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Calibrating Partial Factors – Methodology, Input Data and Case Study of Steel Structures |
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Calibrating Partial Factors – Methodology, Input Data and Case Study of Steel Structures |
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Calibrating Partial Factors – Methodology, Input Data and Case Study of Steel Structures |
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Calibrating Partial Factors – Methodology, Input Data and Case Study of Steel Structures |
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Calibrating Partial Factors – Methodology, Input Data and Case Study of Steel Structures |
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calibrating partial factors – methodology, input data and case study of steel structures |
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Geotechnical Engineering and Engineering Geology Civil and Structural Engineering |
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http://dx.doi.org/10.3311/ppci.12822 |
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2019 |
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<jats:p>Partial factors are commonly based on expert judgements and on calibration to previous design formats. This inevitably results in unbalanced structural reliability for different types of construction materials, loads and limit states. Probabilistic calibration makes it possible to account for plentiful requirements on structural performance, environmental conditions, production and execution quality etc. In the light of ongoing revisions of Eurocodes and the development of National Annexes, the study overviews the methodology of probabilistic calibration, provides input data for models of basic variables and illustrates the application by a case study. It appears that the partial factors recommended in the current standards provide for a lower reliability level than that indicated in EN 1990. Different values should be considered for the partial factors for imposed, wind and snow loads, appreciating the distinct nature of uncertainties in their load effects.</jats:p> |
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| description | <jats:p>Partial factors are commonly based on expert judgements and on calibration to previous design formats. This inevitably results in unbalanced structural reliability for different types of construction materials, loads and limit states. Probabilistic calibration makes it possible to account for plentiful requirements on structural performance, environmental conditions, production and execution quality etc. In the light of ongoing revisions of Eurocodes and the development of National Annexes, the study overviews the methodology of probabilistic calibration, provides input data for models of basic variables and illustrates the application by a case study. It appears that the partial factors recommended in the current standards provide for a lower reliability level than that indicated in EN 1990. Different values should be considered for the partial factors for imposed, wind and snow loads, appreciating the distinct nature of uncertainties in their load effects.</jats:p> |
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| spelling | Nadolski, Vitali Rózsás, Árpád Sýkora, Miroslav 1587-3773 0553-6626 Periodica Polytechnica Budapest University of Technology and Economics Geotechnical Engineering and Engineering Geology Civil and Structural Engineering http://dx.doi.org/10.3311/ppci.12822 <jats:p>Partial factors are commonly based on expert judgements and on calibration to previous design formats. This inevitably results in unbalanced structural reliability for different types of construction materials, loads and limit states. Probabilistic calibration makes it possible to account for plentiful requirements on structural performance, environmental conditions, production and execution quality etc. In the light of ongoing revisions of Eurocodes and the development of National Annexes, the study overviews the methodology of probabilistic calibration, provides input data for models of basic variables and illustrates the application by a case study. It appears that the partial factors recommended in the current standards provide for a lower reliability level than that indicated in EN 1990. Different values should be considered for the partial factors for imposed, wind and snow loads, appreciating the distinct nature of uncertainties in their load effects.</jats:p> Calibrating Partial Factors – Methodology, Input Data and Case Study of Steel Structures Periodica Polytechnica Civil Engineering |
| spellingShingle | Nadolski, Vitali, Rózsás, Árpád, Sýkora, Miroslav, Periodica Polytechnica Civil Engineering, Calibrating Partial Factors – Methodology, Input Data and Case Study of Steel Structures, Geotechnical Engineering and Engineering Geology, Civil and Structural Engineering |
| title | Calibrating Partial Factors – Methodology, Input Data and Case Study of Steel Structures |
| title_full | Calibrating Partial Factors – Methodology, Input Data and Case Study of Steel Structures |
| title_fullStr | Calibrating Partial Factors – Methodology, Input Data and Case Study of Steel Structures |
| title_full_unstemmed | Calibrating Partial Factors – Methodology, Input Data and Case Study of Steel Structures |
| title_short | Calibrating Partial Factors – Methodology, Input Data and Case Study of Steel Structures |
| title_sort | calibrating partial factors – methodology, input data and case study of steel structures |
| title_unstemmed | Calibrating Partial Factors – Methodology, Input Data and Case Study of Steel Structures |
| topic | Geotechnical Engineering and Engineering Geology, Civil and Structural Engineering |
| url | http://dx.doi.org/10.3311/ppci.12822 |