Performance of torsionally eccentric RC wall frame buildings designed to DDBD under bi-directional seismic excitation

Zeris, Christos; Lalas, Alexandros; Spacone, Enrico

doi:10.1007/s10518-020-00813-3

Cited by 9 publications

(7 citation statements)

References 26 publications

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“…The sensor node successfully entered the network system [18]. When the vibration in the building is formed, the acceleration sensor is used to monitor the vibration message, and then, the information processor collects various data messages and transmits the collected various data messages to the coordination device through the radio frequency module [19]. The application prospect of ZigBee technology is very broad.…”

Section: Mobile Information Systemsmentioning

confidence: 99%

Seismic Performance of New Fabricated Lightweight Herringbone Support Seismic Wall Based on ZigBee Sensor Technology

Wang¹,

Yu²,

2022

Mobile Information Systems

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Reinforced concrete antiseismic wall structure has great load-bearing capacity and resistance to lateral displacement and is widely used as high-rise and super high-rise buildings. At present, in the seismic testing of buildings, the vibration signals that simulate earthquakes are transmitted through a wired transmission system for analysis after a certain amount of processing, and the seismic performance of the building is tested. The purpose of this paper is to analyze and study the seismic resistance of a newly fabricated lightweight herringbone braced seismic wall based on ZigBee sensor technology. In this paper, firstly, the research and exploration of the building seismic capability detection system using ZigBee technology wireless sensor are carried out, and the building seismic capability detection system is a wireless sensor network using ZigBee technology; it measures the seismic performance of the building by detecting the acceleration values of key parts in the building model. Then, the seismic design response spectrum is proposed, and the modal analysis is carried out at the same time, and the mode decomposition response spectrum method is given. Then, the seismic performance of the reasonable RC support lightweight herringbone support seismic wall was analyzed, and the seismic performance of the lightweight herringbone support structure was studied at the same time. The experimental results show that with the increase in the size of the RC support section, the bearing capacity and seismic performance of the lightweight herringbone support seismic wall are improved. The displacement ductility coefficient obtained is greater than 4, and the energy dissipation coefficient is 1.56, which meets the seismic requirements of the structure.

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Section: Mobile Information Systemsmentioning

confidence: 99%

Seismic Performance of New Fabricated Lightweight Herringbone Support Seismic Wall Based on ZigBee Sensor Technology

Wang¹,

Yu²,

2022

Mobile Information Systems

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“…Among different seismic design procedures, Direct Displacement-Based Design (DDBD) has attracted the attention of many researchers in the recent years. [18][19][20][21][22][23][24][25][26] Priestley et al 10 firstly take the higher mode effect into account for direct displacement-based design of shear walls. They proposed shear force and bending moment envelopes for capacity design of shear walls in DDBD procedure.…”

Section: Introductionmentioning

confidence: 99%

“…Among different seismic design procedures, Direct Displacement‐Based Design (DDBD) has attracted the attention of many researchers in the recent years 18–26 . Priestley et al 10 firstly take the higher mode effect into account for direct displacement‐based design of shear walls.…”

Section: Introductionmentioning

confidence: 99%

Seismic force demand on RC shear walls for direct displacement‐based design

Abdi

Khosravi

Jafarieh

2022

Structural Concrete

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This article aims to investigate seismic force demand on RC shear walls which are designed using direct displacement-based design (DDBD) method. For this purpose, first 12 shear walls were designed using DDBD approach and then were modeled nonlinearly in OpenSees using fiber section elements. Each wall was subjected to 45 artificial ground motions and the seismic force demand, including the shear force and the bending moment, were determined along the wall height. The nonlinear dynamic analysis results indicated that the seismic force demand was significantly amplified relative to the design forces. This amplification, which was due to the higher mode effects, is mainly a function of structural period and ductility demand. To find new shear and moment envelopes for capacity design, two envelop shapes compatible with internal force pattern along the wall height were selected. Then, the required equations were presented for envelope parameters based on the regression analysis of the results. The comparison of seismic force demand with proposed and previous envelopes indicates the superiority of new proposed envelopes for DDBD approach.

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“…Q[ |iQat xr}Uw x@ |@v=H 60 =D 30 u}@ |@v=H |=yQ=@ R= ?=DVv=tm |=yOv@Q=yt |Q@Q=@ syU xm |Dr=L Oy=wN xv}W}@ sDU}U QO xrRrR |SQv= lqyDU= Q=Okt 'OwW xDiQo Q_v QO OYQO "Ow@ VwQ uwvm=D xJ Qo = xm CiQo xH}Dv u=wD|t |vi C=}@O= |UQQ@ =@ u}=Q@=v@ 'CU= xOW xO=O xaUwD hrDNt |}xRQr Q@ Q=@ |=ysDU}U |= Q@ u=mtQ}}eD Q@ |vD@t x=Q= ?=DVv=tm Ov@ Q=yt |= Q=O |vD@ |xv=owO |=y?=k |= Q@ uwvm=D QwmPt VwQ =t= u=mtQ}}eD Q@ |vD@t VwQ |=}= Rt x@ xHwD =@ Q[=L |xar=]t R= hOy "CU= xOWv =@ = Qo =w |=y?=k |= Q@ Q}N= VywSB QO Ctw=kt xi=[= Q}O=kt [8] "CU= Ovw}B Q}D xOt; CUO x@ 1/19 w 1/37 '1/51 ? }DQD x@ Ovr@ w \UwDt 'x=Dwm Ovw}B Q}D u=mtQ}}eD Q@ |vD@t |L=Q] VwQ [9] '2019 Vv=Q=mty w [10] '2019 V}=Ri= CQ=@a 'OwHwt pO=at |}=Q}t \@=wQ QO [11] 2019 Vv=Q=mty w 11 |=yu=mtQ}}eD MU=B OQwt |=yu=mtQ}}eD C@Uv x@ =yxR=U QDq=@ x@ swU C=k@] QO |OYQO 200 13 nv=o w u=} u}vJty "Ow@ xOW |L=Q] |=OD@= QO xOW xDiQo Q_v QO Q=_Dv= R= xO=iDU= =@ xtQ; uD@ |=y?=k u=mtQ}}eD p}iwQB |= Q@ |}x]@=Q [12] '2019 xm u}= p}rO x@ |rw "Ov=xOQm O=yvW}B Q}PB j}@]D |m}D=DU= p}rLD x}=B Q@ |WwQ xk@] 12 =D |xv}W}@ w \UwDt `=iDQ= |= Q=O u=W}= |xOW xDiQo Q_v QO |=ypOt |=y?=k |= Q@ |O=yvW}B x]@=Q xm O=O|t u=Wv Q}N= |xar=]t G}=Dv 'CU= xOw@ Ov=wD|tv OvQ=O QDq=@ |=yOwt |R=U p=ai |= Q@ |QDW}@ p}Uv=DB xm O=}R `=iDQ= =@ p}iwQB x]@=Q |xar=]t QO R}v ' [13] 2019 Vv=Q=mty w [1] '2007 Vv=Q=mty Ov@ Q=yt |= Q=O |=y?=k QDq=@ C=k@] QO =yu=mtQ}}eD RmQtD R= |@U=vt |v}@V}B "OW=@ xDW=O = Qoty |vD@t VwQ OQmrta |UQQ@ QO [14] '2020 Vv=Q=mty w 16 T} QR u}vJty ?=k wO uqB QO |vD@ |WQ@ Q=w}O s_vt=v u=tO}J |= Q=O |=y?=k |= Q@ u=mtQ}}eD Q@ Q=w}O Cw=iDt s_vt=v u=tO}J =@ Cr=L 12 =@ = Q xk@] 8 w 4 |WQ@ Q=w}O |= Q=O p}rLD VwQ R= xO=iDU= =@ TBU w |L=Q] u=mtQ}}eD VwQ R= xO=iDU= =@ =OD@= '|WQ@ 'u=mtQ}}eD Q@ |vD@t VwQ xm OvDi=} QO w OvOQm |@=} RQ= |]NQ}e |v=tR xJN} Q=D OQw; Q@ u}}=B CUO CQwY x@ |t_vt=v |= Q=O |=y?=k |= Q@ = Q |L=Q] |x}=B VQ@ "Ovm|t u=mtQ}}eD Q@ |vD@t |=yVwQ sy ' [15] 2020 Vv=Q=mty w 17 Q=y@twm , = Q}N= |@=} RQ= |]NQ}e |v=tR xJN} Q=D p}rLD VwQ R= xO=iDU= =@ = Q uwvm=D xOW x=Q= u=mtQ}}eD |rY= VwQ =@ u=Um} |rm ?wJQ=J |= Q=O =yVwQ |t=tD `k=w QO "Ov=xOQm "u=mtQ}}eD Q@ |vD@t VwQ pL=Qt "1 pmW me = P m i i d ( 2)…”

mentioning

confidence: 99%

“…"O};|t QO 14 x]@=Q R shear = VBRB V dual (13) y:dual = y;RCy;BRBHe y;BRB (1 R shear ) + y;RC (R shear ) (14) x]@=Q j@=]t xv=owO ?=k |Q}PB pmW 'sDU}U s}rUD u=mtQ}}eD uDW=O =@ 'xt=O= QO "OwW|t x@U=Lt 15 = c y;dual = c H e y;dual (15) xm CU= xR=U C}iQ_ |}xk@] u=}t |@Uv u=mtQ}}eD Q=Okt ' c QDt=Q=B u; QO xm x@ |}xR=UQ}e w |}xR=U |=yu=tr= Q=_Dv= OQwt OQmrta K]U T=U= Q@ u; Q=Okt [21 w 2] "O};|t CUO pO=at sDU}U pO=at RwmU}w |}=Q}t x@U=Lt "3"2 sDU}U pO=at RwmU}w |}=Q}t C@Uv |x@U=Lt |= Q@ ? }DQD x@ 17 w 16 \@=wQ x=Q= eq;BRB ?=DVv=tm Ov@ Q=yt |= Q=O ?=k u}vJty w eq;RC xtQ;uD@ ?=k [2 w1] "Ov=xOW eq;RC = 0=05 + 0=565 1 (16) eq;BRB = 0=05 + 0=519 1 (17) u=wD|t xv=owO |=ysDU}U |= Q@ CU= xOW O=yvW}B [1] '2007 |rDU} QB Q=DWwv QO |= Q}t 18 x]@=Q R= sDU}U |vRw u}ov=}t w ?=k Qy syU VQ@ C@Uv R= xO=iDU= =@ "OQw; CUO x@ = Q pO=at RwmU}w eq;dual = eq;RC V RC + eq;BRB V BRB V RC + V BRB (18) C=k@] |@v=H |=ywQ}v w |L=Q] x}=B VQ@ x@U=Lt "4"2 u=UWmQ}e u=mtQ}}eD h}] 'OwW|t xOy=Wt ?…”

mentioning

confidence: 99%