Decision of Optimal Fortification Intensity for Natural Gas Pipeline Network System


Abstract eng:
The model of optimal decision on fortification intensity for natural gas pipeline network is established, and it takes the sum of the construction cost of natural gas pipeline network, the failure loss expectation of pipeline structure in future seism and the failure loss for the service after the disaster as minimal objective function. Restriction of the models are project investment, the seismic reliability for pipeline network, the special requirement of fortification for part of pipelines and the balance equation of nodal flow. The cubical algorithm for disjoint of Boolean function that is applicable for reliability calculation of network system is put forward and is used as the tool of seismic reliability analysis for multi-source and multi-terminal network system. Combing the reproduction strategy of differential evolution algorithm with the cross and variation of genetic algorithm, a new hybrid genetic algorithm is applied to the optimization solution for fortification intensity of natural gas pipeline network. This paper took a natural gas network with 22 pipelines, 2 gas sources and 2 gas users under the condition of seven magnitude seism as example, and makes the decision on the optimal fortification intensity for gas pipeline. Meanwhile, influence of the topology of pipeline network, the structure importance of pipeline, the fortification level of system, and the engineering investment on the fortification intensity of pipeline was analysed. The result of the example demonstrates the practicability of the established model and algorithm.

Contributors:
Conference Title:
Conference Title:
14th World Conference on Earthquake Engineering
Conference Venue:
Bejing (CN)
Conference Dates:
2008-10-12 / 2008-10-17
Rights:
Text je chráněný podle autorského zákona č. 121/2000 Sb.



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 Record created 2014-12-05, last modified 2014-12-05


Original version of the author's contribution as presented on CD, Paper ID: 06-0029.:
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