Response of SDOF system to non‐stationary earthquake excitation

Jangid, R. S.

doi:10.1002/eqe.409

Cited by 61 publications

(18 citation statements)

References 7 publications

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“…Generally, the value of each component in V i can be clamped to the range [v min , v max ] to control the excessive roaming of particles outside the search space. Then, the particle flies towards a new position according to Equation (16). This process is repeated until the maximum number of generations is reached.…”

Section: Pso Algorithmmentioning

confidence: 99%

Particle swarm optimization of TMD by non‐stationary base excitation during earthquake

Leung

Zhang

Cheng

et al. 2008

Earthq Engng Struct Dyn

142

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SUMMARYThere are many traditional methods to find the optimum parameters of a tuned mass damper (TMD) subject to stationary base excitations. It is very difficult to obtain the optimum parameters of a TMD subject to non-stationary base excitations using these traditional optimization techniques. In this paper, by applying particle swarm optimization (PSO) algorithm as a novel evolutionary algorithm, the optimum parameters including the optimum mass ratio, damper damping and tuning frequency of the TMD system attached to a viscously damped single-degree-of-freedom main system subject to non-stationary excitation can be obtained when taking either the displacement or the acceleration mean square response, as well as their combination, as the cost function. For simplicity of presentation, the non-stationary excitation is modeled by an evolutionary stationary process in the paper. By means of three numerical examples for different types of non-stationary ground acceleration models, the results indicate that PSO can be used to find the optimum mass ratio, damper damping and tuning frequency of the non-stationary TMD system, and it is quite easy to be programmed for practical engineering applications.

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Section: Pso Algorithmmentioning

confidence: 99%

Particle swarm optimization of TMD by non‐stationary base excitation during earthquake

Leung

Zhang

Cheng

et al. 2008

Earthq Engng Struct Dyn

142

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show abstract

“…That is, an initial period of development followed by a relatively slow decay in time. Various parametric forms of envelop functions have been proposed in the literature for the purpose; a comprehensive list can be found in Jangid (2004).…”

Section: Adopted Parametric Non-stationary Model For Strong Ground Momentioning

confidence: 99%

Synthesis of accelerograms compatible with the Chinese GB 50011-2001 design spectrum via harmonic wavelets: artificial and historic records

Spanos

Giaralis

2009

Earthq. Eng. Eng. Vib.

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“…He has proposed a deterministic envelope function that modulates a White Noise (WN) filtered by a linear Single Degree of Freedom (SDOF) system. Jangid [7] has presented an overview of the envelope functions proposed in literature. These functions have simple parametric forms.…”

Section: Introductionmentioning

confidence: 99%

Parameters Identification of Stochastic Nonstationary Process Used in Earthquake Modelling

Marano¹,

Morga²,

Sgobba³

2013

IJG

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This paper proposes a new deterministic envelope function to define non-stationary stochastic processes modeling seismic ground motion accelerations. The proposed envelope function modulates the amplitude of the time history of a stationary filtered white noise to properly represent the amplitude variations in the time histories of the ground motion accelerations. This function depends on two basic seismological indices: the Peak Ground Acceleration (PGA) and the kind of soil. These indices are widely used in earthquake engineering. Firstly, the envelope function is defined analytically from the Saragoni Hart's function. Then its parameters are identified for a set of selected real records of earthquake collected in PEER Next Generation Attenuation database. Finally, functions of the parameters depending on the Peak Ground Acceleration and the kind of soil are defined from these identified values of the parameters of the envelope function through a regression analysis.

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Response of SDOF system to non‐stationary earthquake excitation

Cited by 61 publications

References 7 publications

Particle swarm optimization of TMD by non‐stationary base excitation during earthquake

Particle swarm optimization of TMD by non‐stationary base excitation during earthquake

Synthesis of accelerograms compatible with the Chinese GB 50011-2001 design spectrum via harmonic wavelets: artificial and historic records

Parameters Identification of Stochastic Nonstationary Process Used in Earthquake Modelling

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