000 04525nam a22005055i 4500
001 978-3-642-11405-2
003 DE-He213
005 20140220084530.0
007 cr nn 008mamaa
008 100412s2010 gw | s |||| 0|eng d
020 _a9783642114052
_9978-3-642-11405-2
024 7 _a10.1007/978-3-642-11405-2
_2doi
050 4 _aTA1-2040
072 7 _aTN
_2bicssc
072 7 _aTEC009020
_2bisacsh
082 0 4 _a624
_223
100 1 _aGopalakrishnan, Kasthurirangan.
_eeditor.
245 1 0 _aSustainable and Resilient Critical Infrastructure Systems
_h[electronic resource] :
_bSimulation, Modeling, and Intelligent Engineering /
_cedited by Kasthurirangan Gopalakrishnan, Srinivas Peeta.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2010.
300 _a300p. 114 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aSynthesis of Modeling and Simulation Methods on Critical Infrastructure Interdependencies Research -- Interdependencies between Energy and Transportation Systems for National Long Term Planning -- A Framework for Assessing the Resilience of Infrastructure and Economic Systems -- Regional Infrastructure Investment Allocation for Sustainability -- A Framework for the Manifestation of Tacit Critical Infrastructure Knowledge -- Intelligent Transportation Infrastructure Technologies for Condition Assessment and Structural Health Monitoring of Highway Bridges -- Maintenance Optimization for Heterogeneous Infrastructure Systems: Evolutionary Algorithms for Bottom-Up Methods -- A Swarm Intelligence Approach for Emergency Infrastructure Inspection Scheduling -- Optimal Highway Infrastructure Maintenance Scheduling Considering Deterministic and Stochastic Aspects of Deterioration -- Sustainable Rehabilitation of Deteriorated Concrete Highways: Condition Assessment Using Shuffled Complex Evolution (SCE) Global Optimization Approach.
520 _aSustainable and resilient critical infrastructure systems is an emerging paradigm in an evolving era of depleting assets in the midst of natural and man-made threats to provide a sustainable and high quality of life with optimized resources from social, economic, societal and environmental considerations. The increasing complexity and interconnectedness of civil and other interdependent infrastructure systems (electric power, energy, cyber-infrastructures, etc.) require inter- and multidisciplinary expertise required to engineer, monitor, and sustain these distributed large-scale complex adaptive infrastructure systems. This edited book is motivated by recent advances in simulation, modeling, sensing, communications/information, and intelligent and sustainable technologies that have resulted in the development of sophisticated methodologies and instruments to design, characterize, optimize, and evaluate critical infrastructure systems, their resilience, and their condition and the factors that cause their deterioration. Specific topics discussed in this book include, but are not limited to: optimal infrastructure investment allocation for sustainability, framework for manifestation of tacit critical infrastructure knowledge, interdependencies between energy and transportation systems for national long term planning, intelligent transportation infrastructure technologies, emergent research issues in infrastructure interdependence research, framework for assessing the resilience of infrastructure and economic systems, maintenance optimization for heterogeneous infrastructure systems, optimal emergency infrastructure inspection scheduling, and sustainable rehabilitation of deteriorated transportation infrastructure systems.
650 0 _aEngineering.
650 0 _aRegional planning.
650 0 _aCivil engineering.
650 0 _aRenewable energy sources.
650 0 _aSustainable development.
650 1 4 _aEngineering.
650 2 4 _aCivil Engineering.
650 2 4 _aSustainable Development.
650 2 4 _aRenewable and Green Energy.
650 2 4 _aComputational Intelligence.
650 2 4 _aLandscape/Regional and Urban Planning.
700 1 _aPeeta, Srinivas.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642114045
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-11405-2
912 _aZDB-2-ENG
999 _c111844
_d111844