Segmental multi-point linearization for parameter sensitivity approximation in reliability analysis
• We propose a numerical method to approximate the sensitivity of failure probability. • The proposed method is computationally efficient. • The obtained approximation of the sensitivity of failure probability is accurate. • The method can be applied to reliability-based design optimization problems...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Liu, Ke [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2016 |
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| Schlagwörter: |
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| Umfang: |
15 |
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| Übergeordnetes Werk: |
Enthalten in: HDL quantity and function are potential therapeutic targets for abdominal aortic aneurysm - He, Bai-mei ELSEVIER, 2014, an international journal on integrated risk assessment for constructed facilities, Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:62 ; year:2016 ; pages:101-115 ; extent:15 |
| Links: |
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| DOI / URN: |
10.1016/j.strusafe.2016.06.001 |
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| 520 | |a • We propose a numerical method to approximate the sensitivity of failure probability. • The proposed method is computationally efficient. • The obtained approximation of the sensitivity of failure probability is accurate. • The method can be applied to reliability-based design optimization problems. • The method have many variations and potentials for extension. | ||
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• We propose a numerical method to approximate the sensitivity of failure probability. • The proposed method is computationally efficient. • The obtained approximation of the sensitivity of failure probability is accurate. • The method can be applied to reliability-based design optimization problems. • The method have many variations and potentials for extension. |
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• We propose a numerical method to approximate the sensitivity of failure probability. • The proposed method is computationally efficient. • The obtained approximation of the sensitivity of failure probability is accurate. • The method can be applied to reliability-based design optimization problems. • The method have many variations and potentials for extension. |
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method can be applied to reliability-based design optimization problems. • The method have many variations and potentials for extension.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Sensitivity analysis</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Reliability-based design optimization</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Reliability analysis</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Parameter sensitivity of failure probability</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Paulino, Glaucio H.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gardoni, Paolo</subfield><subfield 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