Time-dependent reliability of textile-strengthened RC structures under consideration of fuzzy randomness

  • Authors:
  • Bernd Möller;Michael Beer;Wolfgang Graf;Jan-Uwe Sickert

  • Affiliations:
  • Institute of Statics and Dynamics of Structures, Department of Civil Engineering, Technische Universität Dresden, D-01062 Dresden, Germany;Institute of Statics and Dynamics of Structures, Department of Civil Engineering, Technische Universität Dresden, D-01062 Dresden, Germany;Institute of Statics and Dynamics of Structures, Department of Civil Engineering, Technische Universität Dresden, D-01062 Dresden, Germany;Institute of Statics and Dynamics of Structures, Department of Civil Engineering, Technische Universität Dresden, D-01062 Dresden, Germany

  • Venue:
  • Computers and Structures
  • Year:
  • 2006

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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.