000 03686nam a22005055i 4500
999 _c12197
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001 978-981-10-1744-5
003 DE-He213
005 20211202093045.0
008 160728s2017 si | s |||| 0|eng d
020 _a9789811017445
040 _cAIKTC-KRRC
041 _aENG
072 7 _aTN
_2bicssc
072 7 _aTEC009020
_2bisacsh
072 7 _aTN
_2thema
082 0 4 _a624
_223
100 1 _aHuang, Mingfeng.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aHigh-Rise Buildings under Multi-Hazard Environment
_h[electronic resource] :
_bAssessment and Design for Optimal Performance /
250 _a1st ed. 2017.
264 1 _aSingapore :
_bSpringer Singapore :
_bImprint: Springer,
_c2017.
300 _aXXVII, 232 p. 100 illus., 66 illus. in color.
_bCard Paper
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
520 _aThis book discusses performance-based seismic and wind-resistant design for high-rise building structures, with a particular focus on establishing an integrated approach for performance-based wind engineering, which is currently less advanced than seismic engineering. This book also provides a state-of-the-art review of numerous methodologies, including computational fluid dynamics (CFD), extreme value analysis, structural optimization, vibration control, pushover analysis, response spectrum analysis, modal parameter identification for the assessment of the wind-resistant and seismic performance of tall buildings in the design stage and actual tall buildings in use. Several new structural optimization methods, including the augmented optimality criteria method, have been developed and employed in the context of performance-based design. This book is a valuable resource for students, researchers and engineers in the field of civil and structural engineering.
650 0 _aCivil engineering.
653 _aMathematical and Computational Engineering.
653 _aEngineering Design.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811017438
776 0 8 _iPrinted edition:
_z9789811017452
776 0 8 _iPrinted edition:
_z9789811094378
856 4 0 _uhttps://doi.org/10.1007/978-981-10-1744-5
_zClick here to access eBook in Springer Nature platform. (Within Campus only.)
942 _cEBOOKS
_2ddc