Details
| Original language | English |
|---|---|
| Pages (from-to) | 585-603 |
| Number of pages | 19 |
| Journal | Computers and Structures |
| Volume | 84 |
| Issue number | 8-9 |
| Publication status | Published - Mar 2006 |
| Externally published | Yes |
Abstract
The reliability of civil engineering structures is time-dependent. By means of strengthening it is possible to improve the load-bearing capacity and serviceability of structures and simultaneously to increase structural reliability. In this paper, we focus on the time-dependent reliability assessment of RC structures strengthened by textile-reinforced fine-grade concrete layers. The paper starts with a short introduction concerning textile strengthening of RC structures and the underlying mechanical model. The uncertain material parameters of textile-strengthened structures are then investigated. The uncertain parameters are quantified as fuzzy variables or fuzzy random variables. In order to take account of the latter in the assessment of the time-dependent reliability a new fuzzy probabilistic safety concept is presented. The fuzzy adaptive importance sampling (FAIS) method is introduced. The algorithm is demonstrated with an example. The uncertainty of the input parameters is comprehensively reflected in the uncertainty of the computed fuzzy reliability index. The assessment of the uncertain results is discussed.
Keywords
- Fuzzy adaptive importance sampling (FAIS), Fuzzy probability, Fuzzy randomness, Imprecise probability, Structural safety, Textile concrete, Textile-strengthened structures, Uncertainty
ASJC Scopus subject areas
- Engineering(all)
- Civil and Structural Engineering
- Mathematics(all)
- Modelling and Simulation
- Materials Science(all)
- General Materials Science
- Engineering(all)
- Mechanical Engineering
- Computer Science(all)
- Computer Science Applications
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In: Computers and Structures, Vol. 84, No. 8-9, 03.2006, p. 585-603.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Time-dependent reliability of textile-strengthened RC structures under consideration of fuzzy randomness
AU - Möller, Bernd
AU - Beer, Michael
AU - Graf, Wolfgang
AU - Sickert, Jan Uwe
N1 - Funding information: Authors gratefully acknowledge the support of the German Research Foundation (DFG).
PY - 2006/3
Y1 - 2006/3
N2 - The reliability of civil engineering structures is time-dependent. By means of strengthening it is possible to improve the load-bearing capacity and serviceability of structures and simultaneously to increase structural reliability. In this paper, we focus on the time-dependent reliability assessment of RC structures strengthened by textile-reinforced fine-grade concrete layers. The paper starts with a short introduction concerning textile strengthening of RC structures and the underlying mechanical model. The uncertain material parameters of textile-strengthened structures are then investigated. The uncertain parameters are quantified as fuzzy variables or fuzzy random variables. In order to take account of the latter in the assessment of the time-dependent reliability a new fuzzy probabilistic safety concept is presented. The fuzzy adaptive importance sampling (FAIS) method is introduced. The algorithm is demonstrated with an example. The uncertainty of the input parameters is comprehensively reflected in the uncertainty of the computed fuzzy reliability index. The assessment of the uncertain results is discussed.
AB - The reliability of civil engineering structures is time-dependent. By means of strengthening it is possible to improve the load-bearing capacity and serviceability of structures and simultaneously to increase structural reliability. In this paper, we focus on the time-dependent reliability assessment of RC structures strengthened by textile-reinforced fine-grade concrete layers. The paper starts with a short introduction concerning textile strengthening of RC structures and the underlying mechanical model. The uncertain material parameters of textile-strengthened structures are then investigated. The uncertain parameters are quantified as fuzzy variables or fuzzy random variables. In order to take account of the latter in the assessment of the time-dependent reliability a new fuzzy probabilistic safety concept is presented. The fuzzy adaptive importance sampling (FAIS) method is introduced. The algorithm is demonstrated with an example. The uncertainty of the input parameters is comprehensively reflected in the uncertainty of the computed fuzzy reliability index. The assessment of the uncertain results is discussed.
KW - Fuzzy adaptive importance sampling (FAIS)
KW - Fuzzy probability
KW - Fuzzy randomness
KW - Imprecise probability
KW - Structural safety
KW - Textile concrete
KW - Textile-strengthened structures
KW - Uncertainty
UR - http://www.scopus.com/inward/record.url?scp=31644440648&partnerID=8YFLogxK
U2 - 10.1016/j.compstruc.2005.10.006
DO - 10.1016/j.compstruc.2005.10.006
M3 - Article
AN - SCOPUS:31644440648
VL - 84
SP - 585
EP - 603
JO - Computers and Structures
JF - Computers and Structures
SN - 0045-7949
IS - 8-9
ER -