Title: Fuzzy Fault Tree Analysis of Deep Foundation Pit Supporting Systems Failure Probability Y'H'BIAN Dep
1Fuzzy Fault Tree Analysis of Deep Foundation Pit
SupportingSystems Failure ProbabilityY.H.BIAN
Department of Geotechnical Engineering of Tongji
University, Shanghai2004-11-6
2outline
- 1.Introduction
- 2.Fuzzy set theory
- 3.Fuzzy probability of deep foundation pit
calculated by fault tree - 4.Sensibility analysis
- 5.Conclusion
31.Introduction
- Cause of risk analysis theory introduced in deep
foundation pit - Accidents occurred in deep foundation have leaded
to huge economical losses ,casualties, work stage
delay, bad social effect - Risk analysis can reduce the failure probability
and losses of deep foundation pit -
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7- Calculation of failure probability of deep
foundation pit supporting systems using fault
tree - Limitation of conventional fault tree analysis
- Ignore the data uncertainty
- Fuzzy set used in fault tree analysis
- Fuzzy failure probability replace failure
probability of basic events - Triangular fuzzy number represent failure
probability of basic events
82.Fuzzy set theory
- 2.1Basic concepts of fuzzy value
- A fuzzy set initiated by Zadeh in
1965 is defined as follows - Let X denote a universal set. Then
a fuzzy subset A of X is defined by its
membership function. - A fuzzy subset A can be characterized
as a set of ordered pairs of element x and its
grade , and is often written as -
-
- L-R fuzzy number with only one
point which membership grade is 1 is widely used
in practical project , the membership function is -
9 A linear LR fuzzy number (triangular membership
function) is used in case of lack of adequate
data. The membership function is
102.2Fuzzy number operation
For given in the the internal ,
according to the extension principle proposed by
Zadeh, the arithmetic operations of fuzzy numbers
can be defined by means of -cut operations
Then
113.Fuzzy failure probability of deep foundation
pit calculated by fuzzy fault tree
3.1 Work out a fault tree of deep foundation pit
supporting system
Fault tree of diaphragm wall supporting system in
deep foundation pit is shown in Figs.1 and
explained as follows.
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133.2 Calcualtion of accident probability
Fault tree in Figs.1 is obtained from Boolean
algebra as follows
14 From the result obtained above, top event
is the union of 25 sets which are the minimum cut
set of the fault tree, i.e., X1X17,X1X18,X1X1
9,X1X20,X1X26,X1X27,X1X28X29,X2X8,X2X1
9,X2X21,X2X22,X2X23,X2X24,X6X7,X3X20,
X3X21,X3X25,X3X26,X3X27,X3X28X29,X25,
X24,X10,X11,X4X12X13, which are
corresponding to 25 accident modes.
15 In practical engineering, occurrence
probability of top event (PT) is obtained using
approximate probability formula of independent
events as shown in Eqs.(8)
4.Sensibility analysis
According to the fuzzy number model defined in
this paper, sensibility evaluation index is
simply defined as shown in Eqs.(9).
(9)
165.Conclusion
If ViVj, which shows that it is more
effective to reduce occurrence probability of top
event by reducing occurrence probability of event
i than event j.
- Fuzzy fault tree analysis can not only achieve
the analytical objective of classical
probability, but also obtain possible failure
probability distribution of deep foundation pit
supporting system by integrating a small amount
statistical data and experience of in-situ
engineer.
17- The same membership function(triangular
membership function ) is introduced in occurrence
probability of all basic events. Different
membership functions can be used in different
basic events in practical consideration.
18Thank you!