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020 _a9783030986858
_9978-3-030-98685-8
024 7 _a10.1007/978-3-030-98685-8
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aHandbook of Cognitive and Autonomous Systems for Fire Resilient Infrastructures
_h[electronic resource] /
_cedited by MZ Naser, Glenn Corbett.
250 _a1st ed. 2022.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2022.
300 _aXVII, 337 p. 166 illus., 145 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aChapter. 1 -- Toward A Sociotechnical Systems Framing For Performance-Based Design For Fire Safety -- Chapter. 2 -- A 21st Century Approach To Fire Resistance -- Chapter. 3 -- Integrating Modern Technologies To Realize Fire-Resistant Infrastructures -- Chapter. 4 -- Intelligent Science Empowers Building Fire Protection Technology Development -- Chapter. 5 -- Building Codes And The Fire Regulatory Context Of Smart And Autonomous Infrastructure -- Chapter. 6 -- Perspectives Of Using Artificial Intelligence In Building Fire Safety -- Chapter. 7 -- Intelligent Firefighting -- Chapter. 8 -- The Role Of Artificial Intelligence In Firefighting -- Chapter. 9 -- Implementing AI To Assist Situation Awareness: Organizational And Policy Challenges -- Chapter. 10 -- Probabilistic Reliability Analysis Of Steel Mezzanines Subjected To The Fire -- Chapter. 11 -- Autonomous Sensor-Driven Pressurization Systems – Novel Solutions And Future Trends -- Chapter. 12 -- Hybrid Fire Testing: Past, Present and Future -- Chapter. 13 -- Realistic Fire Resistance Evaluation In The Context Of Autonomous Infrastructure.
520 _aThis handbook aims at modernizing the current state of civil engineering and firefighting, especially in this era where infrastructures are reaching new heights, serving diverse populations, and being challenged by unique threats. Its aim is to set the stage toward realizing contemporary, smart, and resilient infrastructure. The Handbook of Cognitive and Autonomous Systems for Fire Resilient Infrastructures draws convergence between civil engineering and firefighting to the modern realm of interdisciplinary sciences (i.e., artificial intelligence, IoT, robotics, sensing, and human psychology). As such, this work aims to revolutionize the current philosophy of design for one of the most notorious extreme events: fire. Unlike other publications, which are narrowed to one specific research area, this handbook cultivates a paradigm in which critical aspects of structural design, technology, and human behavior are studied and examined through chapters writtenby leaders in their fields. This handbook can also serve as a textbook for graduate and senior undergraduate students in Civil, Mechanical, and Fire Protection engineering programs as well as for students in Architectural and social science disciplines. Students, engineers, academics, professionals, scientists, firefighters, and government officials involved in national and international societies such as the American Society of Civil Engineers (ASCE), Society of Fire Protection Engineers (SFPE), National Fire Protection Association (NFPA), and Institute of Electrical and Electronics Engineers (IEEE), among others, will benefit from this handbook.
650 0 _aArtificial intelligence.
650 0 _aFire prevention.
650 0 _aBuildings
_xProtection.
650 0 _aBuildings
_xDesign and construction.
650 0 _aInternet of things.
650 1 4 _aArtificial Intelligence.
650 2 4 _aFire Science, Hazard Control, Building Safety.
650 2 4 _aBuilding Construction and Design.
650 2 4 _aInternet of Things.
700 1 _aNaser, MZ.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aCorbett, Glenn.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030986841
776 0 8 _iPrinted edition:
_z9783030986865
776 0 8 _iPrinted edition:
_z9783030986872
856 4 0 _uhttps://doi.org/10.1007/978-3-030-98685-8
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cSPRINGER
999 _c176841
_d176841