The practical anti-earthquake optimum design of civil infrastructure network system

Many civil infrastructure systems (CISs) are large building-lifeline interrelated systems that include various kinds of buildings and lifeline segments and can be modeled as a network of interconnected nodes and links. It is important to undertake anti-earthquake design for the system because seismi...

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Bibliographic Details
Published inAdvances in Building Technology pp. 555 - 562
Main Authors Yanyan, Chen, Guangyuan, Wang
Format Book Chapter
LanguageEnglish
Published Elsevier 2002
Online AccessGet full text
ISBN0080441009
9780080441009
DOI10.1016/B978-008044100-9/50071-1

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Summary:Many civil infrastructure systems (CISs) are large building-lifeline interrelated systems that include various kinds of buildings and lifeline segments and can be modeled as a network of interconnected nodes and links. It is important to undertake anti-earthquake design for the system because seismic damages may cause extraordinary loss. This chapter proposes an optimum design of CIS that is divided into two stages—system optimization and structure optimization. The global optimum anti-earthquake design of CIS is to find the optimum design intensity for each building component and design vector for each lifeline segment component to minimize the system lifecycle cost subject to the system original cost constraints and system function constraints. In design practice, the design intensity can be taken as discrete values. In any case, the reasonable designs of the lifeline segment are relatively few because of the limits to structure type, function, flux, and coded spare part size. So, in system optimum design, depending on the earthquake risk analysis, component importance, and function requirement, the designer can choose several possible discrete values of design intensity for each building and several possible design vectors for each lifeline segment. Combining every possible selection through enumeration, and computing system objective, and constraints in each possible combination, the optimum result meeting system global optimization requirements can be chosen.
ISBN:0080441009
9780080441009
DOI:10.1016/B978-008044100-9/50071-1