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Why need probabilistic approach? Rain probability How does that affect our behaviour?? ?

Why need probabilistic approach? Rain probability How does that affect our behaviour?

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Uncertainties in Engineering

Natural Hazards Material Properties Design Models Construction Errors

Absolute Safety Not Guaranteed

Engineers need to: model, analyze, update uncertainties evaluate probability of failure

Questions

What is acceptable failure probability? - stadium vs shed

Questions

Should one want to be conservative if a perfectly safe system is possible? - overbooking in airlines - parking permits

Questions

Should one minimize risk if money is not a problem? - system consideration – e.g.dam

Trade-off Decision Analysis

Risk vs. consequence System risk

Formal analysis of uncertainties and probability

Not all problems can be solved by analysis of data Set Theory Sample space: collection of all possibilities Sample point: each possibility Event: subset of sample space Probability Theory

Union: either E1 or E2 occur E1∪E2

Intersection: both E1 and E2 occur E1∩ E2 or E1 E2

Examples

A B No communication between A and B = E1E2 C B A No communication between A and B = E3∪E1E2 1 2 E1 = road 1 closed E2 = road 2 closed E3 = road 3 closed 1 2 3

Example - pair of footings

1 2 E1 = 1 settles Ē1 = 1 does not settle E2 = 2 settles Ē2 = 2 does not settle Settlement occurs = E1∪E2 Tilting occurs = E1Ē2∪Ē1E2

de Morgan’s rule

1 2 Water Supply E = failure in water supply = E1∪E2 no failure in water supply = Ē = E1∪E2 E1 = pipe 1 breaks E2 = pipe 2 breaks

Event of “no failure” Extension to n events

de Morgan #2

Basis of Probability Estimation

judgment + limited observation Subjective assumption e.g. P(Q) = 1/2 Relative frequency e.g. P(Q)=502/1000 Bayesian (a)+(b)

Probability of Union in general E1 E2

Using de Morgan’s rule

P (intersection) conditional probability

or

Statistical independence if E1 and E2 are s.i. or s.i.

Example: E2 = flood in 廣西 on June E3 = flood in 哈爾濱 on June E1 = flood in 廣東 on June P(E1) = 0.1; P(E2)=0.1; P(E3) = 0.1 E1 and E2 are not s.i. E1 and E3 are s.i.

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581
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cezll
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HKUST
Description: 
Why need probabilistic approach? Rain probability How does that affect our behaviour?? ?
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and | distribution | probability | are | for | the | design | 100
Created: 
2/2/2005 2:20:12 AM
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