Nonlinear analysis of short limb shear wall with concealed bracings using macroscopic model - Details

Author：

Zhao, C.-J. (Zhao, C.-J..) (Scholars：赵春江) | Cao, W.-L. (Cao, W.-L..) (Scholars：曹万林) | Zhang, J.-W. (Zhang, J.-W..) (Scholars：张建伟) | Yang, X.-M. (Yang, X.-M..)

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Abstract：

A　macroscopic　calculating　model　is　put　forward　to　analyze　short　limb　shear　wall　with　concealed　bracings.　The　stiffness　matrix　of　Link　element　in　SAP2000　is　deduced　and　the　defining　method　of　linear　effective　stiffness　is　developed.　The　reasonable　force　-　displacement　relationship　for　the　Link　element　is　selected.　Push　over　analysis　using　the　macroscopic　model　composed　with　Link　element　on　short　limb　shear　walls　with　and　without　concealed　bracings　is　carried　out.　The　calculated　top　force　-　displacement　curves　agree　well　with　that　of　experiments,　which　indicate　that　the　macroscopic　model　is　reasonable.

Keyword：

Concealed bracings; Link element; Macroscopic model; Short Limb shear wall; Static nonlinear

Author Community：

[ 1 ] [Zhao, C.-J.]Key Lab of Urban Security and Disaster Engineering, MOE, Beijing University of Technology, Beijing 100022, China
[ 2 ] [Cao, W.-L.]Key Lab of Urban Security and Disaster Engineering, MOE, Beijing University of Technology, Beijing 100022, China
[ 3 ] [Zhang, J.-W.]Key Lab of Urban Security and Disaster Engineering, MOE, Beijing University of Technology, Beijing 100022, China
[ 4 ] [Yang, X.-M.]Key Lab of Urban Security and Disaster Engineering, MOE, Beijing University of Technology, Beijing 100022, China

Reprint Author's Address：

赵春江
[Zhao, C.-J.]Key Lab of Urban Security and Disaster Engineering, MOE, Beijing University of Technology, Beijing 100022, China

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Source ：

World Information on Earthquake Engineering

ISSN： 1007-6069

Year： 2007

Issue： 4

Volume： 23

Page： 1-6

Cited Count：

WoS CC Cited Count： 0

SCOPUS Cited Count：

ESI Highly Cited Papers on the List： 0 Unfold All

WanFang Cited Count：

Chinese Cited Count：

30 Days PV： 4

Affiliated Colleges：

化学与生命科学学院本学院/部未明确归属的数据

建筑与城市规划学院本学院/部未明确归属的数据

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