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Comprehensive Risk Assessment for Natural Hazards - Planat

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<strong>Comprehensive</strong> risk assessment <strong>for</strong> natural hazards<br />

guaranteed only if the probability of failure of the system is<br />

less than or equal to 10 –7 per year.<br />

The joint distribution of storm-surge level, basin level and<br />

wave energy was developed <strong>for</strong> The Netherlands as follows.<br />

Frequency analysis was applied to available storm-surge-level<br />

data. Knowledge of the physical laws governing the stormsurge<br />

phenomenon was used to determine whether extreme<br />

water levels obtained by extrapolation were physically realistic.A<br />

conditional distribution between storm-surge levels and<br />

basin levels was derived from a simple mathematical model of<br />

wind set-up and astronomical tide applied to simulation of<br />

different strategies <strong>for</strong> closing the barrier gates. The basin level<br />

was found to be statistically independent of the wave energy.A<br />

conditional distribution between storm-surge levels and wave<br />

energy could not be derived because of lack of data. There<strong>for</strong>e,<br />

a mathematical model was developed considering the two<br />

sources of wave energy: deep-water waves originating from the<br />

North Sea and local waves generated by local wind fields.<br />

The advanced first-order second-moment reliability<br />

analysis method (Ang and Tang, 1984, p. 333-433; Yen et al.,<br />

1986) was applied to determine the failure probability of<br />

each major system component of the storm-surge barrier.<br />

An advantage of this method is that the contribution of each<br />

basic variable (model parameters, input data, model correction<br />

or safety factors, etc.) to the probability of failure of a<br />

given component can be determined. Thus, problematic<br />

aspects of the design can be identified and research ef<strong>for</strong>t<br />

can be directed to the variables that have the greatest effect<br />

on the probability of failure.<br />

Application of the failure criterion of 10 –7 to the design<br />

of each major component of the storm-surge barrier was a<br />

substantial step in achieving a societally acceptable safety<br />

level. However, the appropriate approach is to determine the<br />

safety of the entire barrier as a sea-defence system. Thus, the<br />

probability of system failure was determined as a function<br />

of the probability of component failure, and the probability<br />

of failure resulting from mismanagement, fire and ship collision<br />

through application of fault-tree analysis (Ang and<br />

Tang, 1984, p. 486-498). The fault tree <strong>for</strong> determining the<br />

probability that parts of Zeeland are flooded because of failure<br />

of components of the barrier, mismanagement, and/or<br />

malfunction of the gates is shown in Figure 8.1. By using the<br />

fault tree, the design of the barrier was refined in every<br />

aspect and the specified safety criterion of 10 –7 per year was<br />

achieved in the most economical manner.<br />

Through application of sophisticated probabilistic<br />

techniques, Dutch engineers were able to reduce the design<br />

load <strong>for</strong> the storm-surge barrier by 40 per cent relative to<br />

traditional design methods and still achieve a societally<br />

acceptable failure probability or hazard level. In this case,<br />

the societally acceptable hazard was defined by setting the<br />

fatality rate equal to levels resulting from accidents in The<br />

Netherlands. Thus, the completed structure reduced the risk<br />

resulting from storm surges to fatality rates accepted by the<br />

people of The Netherlands in their daily lives.<br />

It could be considered that the application of the new<br />

design procedures resulted in an increase in the hazard level<br />

resulting from storm surges faced by society relative to the<br />

application of the previous design standards. However, the<br />

previous design standards were implicitly set without any<br />

consideration of the consequences of a storm surge and<br />

societally acceptable hazard levels. The population in the<br />

southwestern region of The Netherlands to be protected by<br />

the storm-surge barrier was already facing a substantial hazard.<br />

Thus, the question was to what level should the hazard<br />

be reduced? The Dutch Government decided that people in<br />

The Netherlands would be willing to accept a possibility of<br />

dying because of a failure of the sea defences that was equal<br />

to the probability of dying because of an accident. This<br />

resulted in substantial savings relative to the use of the<br />

implicit societally acceptable hazard level. The key point of<br />

this example is that when faced with the construction of a<br />

large, complex and expensive structure <strong>for</strong> the protection of<br />

the public, the Dutch Government abandoned implicit societally<br />

acceptable hazard levels and tried to determine real,<br />

consequence-based societally acceptable hazard levels.<br />

8.3 MINIMUM LIFE-CYCLE COST EARTHQUAKE<br />

DESIGN<br />

Earthquake-resistant design and seismic-safety<br />

assessment should explicitly consider the underlying<br />

randomness and uncertainties in the earthquake load and<br />

structural capacity and should be <strong>for</strong>mulated in the<br />

context of reliability (Pires et al., 1996). Because it is not<br />

possible to avoid damage under all likely earthquake loads,<br />

the development of earthquake-resistant design criteria<br />

must include the possibility of damage and an evaluation<br />

of the consequences of damage over the life of the<br />

structure. To achieve this risk assessment <strong>for</strong> structures in<br />

earthquake-prone regions, Professor A. H-S. Ang and his<br />

colleagues at the University of Cali<strong>for</strong>nia at Irvine have<br />

proposed the design of earthquake-resistant structures on<br />

the basis of the minimum expected total life-cycle cost of<br />

the structure including initial (or upgrading) cost and<br />

damage-related costs (Ang and De Leon, 1996, 1997; Pires<br />

et al., 1996) and a constraint on the probability of loss of<br />

life (Lee et al., 1997).<br />

The minimum life-cycle cost approach consists of five<br />

steps as follows (Pires et al., 1996; Lee et al., 1997).<br />

(1) A set of model buildings is designed <strong>for</strong> different levels<br />

of reliability (equal to one minus the probability of<br />

damage, p f ) or per<strong>for</strong>mance following the procedure of<br />

an existing design code. For rein<strong>for</strong>ced concrete buildings,<br />

this is done by following the design code except<br />

that the base-shear coefficient is varied from code<br />

values to yield a set of model buildings having different<br />

strengths, initial costs (construction or upgrading), and<br />

probabilities of damage.<br />

(2) A relation between the initial cost of the structure and<br />

the corresponding probability of damage under all possible<br />

earthquake loads is established from the designs<br />

made in step 1.<br />

(3) For each design, the expected total cost of structural<br />

damage is estimated as a function of the probability of<br />

damage under all possible earthquake loads and is<br />

expressed on a common basis with the initial cost. The<br />

damage cost includes the repair and replacement cost,<br />

C r , loss of contents, C c , economic impact of structural<br />

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