Predicting reinforcing bar development length using polynomial chaos expansions
• Novel model to predict rebar bond in concrete was developed based on Polynomial Chaos Expansions. • Model outperformed all design code equations and existing models considered in the study. • Model parametric study identified trends not captured by existing models. • Flexible model can accommodate...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Yaseen, Zaher Mundher [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2019 |
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| Schlagwörter: |
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| Umfang: |
12 |
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| Übergeordnetes Werk: |
Enthalten in: Artificial intelligence in innovation research: A systematic review, conceptual framework, and future research directions - Mariani, Marcello M. ELSEVIER, 2022, the journal of earthquake, wind and ocean engineering, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:195 ; year:2019 ; day:15 ; month:09 ; pages:524-535 ; extent:12 |
| Links: |
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| DOI / URN: |
10.1016/j.engstruct.2019.06.012 |
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ELV047417994 |
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| 520 | |a • Novel model to predict rebar bond in concrete was developed based on Polynomial Chaos Expansions. • Model outperformed all design code equations and existing models considered in the study. • Model parametric study identified trends not captured by existing models. • Flexible model can accommodate new bar materials and new test data to calibrate design codes. | ||
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• Novel model to predict rebar bond in concrete was developed based on Polynomial Chaos Expansions. • Model outperformed all design code equations and existing models considered in the study. • Model parametric study identified trends not captured by existing models. • Flexible model can accommodate new bar materials and new test data to calibrate design codes. |
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• Novel model to predict rebar bond in concrete was developed based on Polynomial Chaos Expansions. • Model outperformed all design code equations and existing models considered in the study. • Model parametric study identified trends not captured by existing models. • Flexible model can accommodate new bar materials and new test data to calibrate design codes. |
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• Novel model to predict rebar bond in concrete was developed based on Polynomial Chaos Expansions. • Model outperformed all design code equations and existing models considered in the study. • Model parametric study identified trends not captured by existing models. • Flexible model can accommodate new bar materials and new test data to calibrate design codes. |
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