2004
DOI: 10.1061/(asce)0733-9399(2004)130:4(437)
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Benchmark Problem for Response Control of Wind-Excited Tall Buildings

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Cited by 232 publications
(217 citation statements)
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“…Each time series is produced at 245 a sampling rate of 10 Hz over a 10-minute duration. Finally, the wind load input u w,i (t) at story i is generated from Morrison's equation (Yang et al 2004) 247 based on wind speeds obtained from Eq. 25:…”
mentioning
confidence: 99%
“…Each time series is produced at 245 a sampling rate of 10 Hz over a 10-minute duration. Finally, the wind load input u w,i (t) at story i is generated from Morrison's equation (Yang et al 2004) 247 based on wind speeds obtained from Eq. 25:…”
mentioning
confidence: 99%
“…This is expected to be particularly important for the design of super tall timber buildings due to the lightness of typical timber construction. Concrete-framed buildings have a typical bulk density of 300 kg/m 3 (Yang et al, 2004). Steel buildings, including the concrete decking that often makes up the greater part of their mass, have a typical bulk density of 160 kg/m 3 (Huang et al, 2007).…”
Section: Self-weightmentioning
confidence: 99%
“…However, the relative merits of these active and semiactive controllers, as applied to base-isolated structures, has not been investigated by careful comparison on a well-defined benchmark problem. Recently well-defined analytical benchmark problems [16][17][18][19][20][21] have been developed for studying response control strategies for building and bridge structures subjected to seismic and wind excitation, by broad consensus effort of the ASCE structural control committee. The goal of this effort was to develop benchmark models to provide systematic and standardized means by which competing control strategies, including devices, algorithms, sensors, etc.…”
Section: Introductionmentioning
confidence: 99%
“…Carefully defined analytical benchmark problems are an excellent alternative to expensive experimental benchmark test structures. Due to the effectiveness of the fixed-base building benchmark effort [17][18][19][20] the ASCE structural control committee voted to develop a new smart baseisolated benchmark problem. Narasimhan et al [22][23][24][25] and Nagarajaiah et al [26,27] have developed the smart base-isolated benchmark problem, based on input from the ASCE structural control committee, with the capability to model different kinds of base isolation systems [39][40][41]: linear elastomeric systems with low damping or supplemental high damping; frictional systems; bilinear or nonlinear elastomeric systems or any combination thereof.…”
Section: Introductionmentioning
confidence: 99%