Titel_SS06
In JCSS (2001) it is suggested to use an exponential probability distribution function to describe the transient load. The trans ...
where: Q: wind velocity pressure 1 : weight density ( 1 =1.25 kg/m^3 for standard air) U: wind velocity The reference mean veloc ...
h altitude of the building site hr reference altitude (= 300 m) k coefficient: k = 1.25 for coastal regions, k = 1.5 for inland ...
ce: is a deterministic exposure coefficient ct: is a deterministic thermal coefficient cr: is a redistribution (due to wind) coe ...
Xmax( )TXtXtX maxT > 1 ( ) 2 ( ) ... n( )t? (7.27) however, the assessment requires a detailed knowledge about the time va ...
the repetition number for the load. It is assumed that the loads in the time intervals are identically distributed and random va ...
where N is the set of real positive numbers. The combined load effect following the combination rule due to Ferry Borges – Casta ...
The probabilistic characteristics for the above mentioned types of resistances are in general rather different; however, some co ...
Reinforcement Steel A probabilistic model for the yield stress X 1 of reinforcing steel may be given as (JCSS (2001)) fs XX X ...
Structural Steel For the probabilistic modelling of the material properties of rolled structural steel sections a multivariate L ...
For specific countries such as Switzerland, a coefficient of variation for the yield stress of 0.05 seems reasonable. 7.4 Probab ...
Model Uncertainties – the JCSS Probabilistic Model Code “Light” Following the JCSS Probabilistic Model Code (2001) model uncerta ...
8 th Lecture: Time Variant Reliability Analysis Aim of the present lecture The aim of the present lecture is to introduce the pr ...
8.1 Introduction Both resistances and loads may in principle be functions of both time and or space. This is e.g. the case when ...
Poisson Processes Filtered Poisson processes may be formulated directly from the simple Poisson process by attributing random ev ...
(^) x(t) t y 1 y (^2) y 3 y 4 t 1 t 2 t 3 t 4 E()t Figure 8.2: Illustration of a realisation of a Poisson spike process. If ( ) ...
t x(t),E(t) x(t) E(t) Figure 8.3: Illustration of a realisation of a continuous stochastic process. Consider the case where the ...
having at least one out-crossing before leaving the safe domain in the time interval 3312 , and finally the number of N real ...
In case of non-stationary Normal processes it can be shown, see e.g. Madsen et al. (1986), that the MOR may be determined as: (( ...
the stochastic process components other uncertainties are involved such as stochastic sequences and non-ergodic random variables ...
«
5
6
7
8
9
10
11
12
13
14
»
Free download pdf