Details
| Original language | English |
|---|---|
| Article number | B4015001 |
| Number of pages | 11 |
| Journal | ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering |
| Volume | 2 |
| Issue number | 3 |
| Early online date | 11 Jun 2015 |
| Publication status | Published - Sept 2016 |
| Externally published | Yes |
Abstract
This paper presents a nuanced robustness analysis for structures when only limited information is available. A new methodology based on fuzzy set theory is proposed to cope with scarce information as a major problem in the performance assessment of existing structures. The developed robustness measure provides information on the relationship between structural robustness and the magnitude of uncertainty in the damage of the structure. This feature is enabled through a nuanced consideration of imprecision in the damage assessment through alpha-level discretization. An entropy-based robustness measure is formulated as a function of imprecision in the damage state. On this basis, different design solutions can be compared in a one-swoop analysis with respect to their robustness for different magnitudes of damage. Furthermore, this approach can be used to assess the effort for inspection versus gain in precision of the predicted structural performance. The development is of a general nature. In this paper, it is elucidated in the context of a typical offshore engineering problem to demonstrate its application in practical cases. Fixed offshore platforms with different brace configurations are compared in light of robustness with respect to damage from corrosion.
Keywords
- Alpha-level discretization, Entropy measure, Fuzziness, Fuzzy modeling, Imprecision, Marine corrosion, Robustness assessment
ASJC Scopus subject areas
- Engineering(all)
- Civil and Structural Engineering
- Engineering(all)
- Building and Construction
- Engineering(all)
- Safety, Risk, Reliability and Quality
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In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, Vol. 2, No. 3, B4015001, 09.2016.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Nuanced Robustness Analysis with Limited Information
AU - Zhang, M. Q.
AU - Beer, M.
AU - Koh, C. G.
AU - Jensen, H. A.
PY - 2016/9
Y1 - 2016/9
N2 - This paper presents a nuanced robustness analysis for structures when only limited information is available. A new methodology based on fuzzy set theory is proposed to cope with scarce information as a major problem in the performance assessment of existing structures. The developed robustness measure provides information on the relationship between structural robustness and the magnitude of uncertainty in the damage of the structure. This feature is enabled through a nuanced consideration of imprecision in the damage assessment through alpha-level discretization. An entropy-based robustness measure is formulated as a function of imprecision in the damage state. On this basis, different design solutions can be compared in a one-swoop analysis with respect to their robustness for different magnitudes of damage. Furthermore, this approach can be used to assess the effort for inspection versus gain in precision of the predicted structural performance. The development is of a general nature. In this paper, it is elucidated in the context of a typical offshore engineering problem to demonstrate its application in practical cases. Fixed offshore platforms with different brace configurations are compared in light of robustness with respect to damage from corrosion.
AB - This paper presents a nuanced robustness analysis for structures when only limited information is available. A new methodology based on fuzzy set theory is proposed to cope with scarce information as a major problem in the performance assessment of existing structures. The developed robustness measure provides information on the relationship between structural robustness and the magnitude of uncertainty in the damage of the structure. This feature is enabled through a nuanced consideration of imprecision in the damage assessment through alpha-level discretization. An entropy-based robustness measure is formulated as a function of imprecision in the damage state. On this basis, different design solutions can be compared in a one-swoop analysis with respect to their robustness for different magnitudes of damage. Furthermore, this approach can be used to assess the effort for inspection versus gain in precision of the predicted structural performance. The development is of a general nature. In this paper, it is elucidated in the context of a typical offshore engineering problem to demonstrate its application in practical cases. Fixed offshore platforms with different brace configurations are compared in light of robustness with respect to damage from corrosion.
KW - Alpha-level discretization
KW - Entropy measure
KW - Fuzziness
KW - Fuzzy modeling
KW - Imprecision
KW - Marine corrosion
KW - Robustness assessment
UR - http://www.scopus.com/inward/record.url?scp=85037681067&partnerID=8YFLogxK
U2 - 10.1061/AJRUA6.0000821
DO - 10.1061/AJRUA6.0000821
M3 - Article
AN - SCOPUS:85037681067
VL - 2
JO - ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
JF - ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
SN - 2376-7642
IS - 3
M1 - B4015001
ER -