Force-derivative feedback semi-active control of base-isolated buildings using large-scale MR fluid dampers

Abstract

This paper investigates the effectiveness of force-derivative feedback semi-active control control scheme for seismic protection of base-isolated building structures employing magnetorheological (MR) fluid dampers. The base-isolation of the building is considered linear and represented by elastomeric bearings. Elastomeric bearings provide a clear advantage due to manufacturing development and long term efficacy if they are protected to environmental exposure. However, this type of isolation does not supply any energy dissipation to the building under seismic excitations because they lack of a hysteretic component like lead-rubber bearings. Nevertheless, these devices have one inadequacy when it comes to a near-fault earthquake, which is the high potential for excessive displacement at the base, producing total shear failure of the bearing. In the last years there has been an increasing interest to MR dampers and their applications to civil engineering structures. Base-isolated structures employing MR fluid dampers have gained the attention of many researchers in this field. These devices are highly nonlinear and thus accurate models of these devices are important for effective simulation and control system design. A hysteretic model based on the normalized Bouc-Wen model represents an experimentally identified large-scale MR fluid damper. The MR fluid damper is scaled up to represent both a real-manufacturable MR fluid damper and a compatible benchmark damper. The performance of the proposed force-derivative feedback semi-active control algorithm at the base-isolated building employing MR fluid damper is compared with passive-off, passive-on and clipped-optimal controllers. The proposed control scheme reduces the base-displacement without increasing the floor accelerations. Its main advantage is that only requires local measurements. The proposed MR fluid damper could be considered as a promising candidate for a real application of a base-isolated building employing MR fluid dampers as semi-active devices.

Vertical vibration control of suspension bridges subjected to earthquake by Semi-active MR dampers

“…In this regard, a number of mechanical models have been recently proposed by several researchers [9,[23][24][25][26]34]. In the present study, a large-scale MR damper with 2200 kN capacity based on normalized Bouc-Wen model is used for which the parameter identi cation has been conducted by Bahar et al [23].…”

“…It is due to high non-linearity and high exibility of the bridge. As a result, some of the dampers in this study are used with the capacity of 1100 kN, called scaled dampers, discussed by Rodriguez [25].…”

“…Some of these models, such as the Bingham model, cannot capture well the force-velocity non-linear behavior of the damper. It is very important for a model to be able to portray the non-linear behavior of the damper and easily identify the system parameters [9,[23][24][25][26]. Jung et al [18] examined the application of MR dampers with a comprehensive study of the adequacy of di erent types of dynamic models for MR uid dampers, such as Bingham model, Bouc-Wen model, and modi ed BoucWen model.…”

Technical Note: Active and Semi-Active Strategies to Control Building Structures Under Large Earthquake Motion

“…The particular features of a specific earthquake, such as magnitude, direction, etc., and the range of distance between the actual location of the building and the epicenter of the event, defined as near-field and far-field earthquakes-types, introduce many parametrical and dynamical unknowns in the state feedback of the controller. Thus, algorithms that can integrate structural control and the identification of unknown excitations are needed; Rodríguez et al [2012] proposed a control scheme based on discrete direct adaptive control, wherein the system response is minimized under parameter uncertainties using neural network models. The strategy is evaluated on a full-scale nonlinear threedimensional base-isolated benchmark structure; Laflamme et al [2011] proposed a wavelet neurocontroller capable of self-adaptation and self-organization for uncertain systems controlled with semi-active devices; stability and convergence of the proposed neurocontroller are assessed through various numerical simulations for harmonic, earthquake, and wind excitations.…”

Semi-active Control of Base-isolated Structures

“…Although very attractive in terms of energy consumption and generated forces, when as associated with the structure leads to a nonlinear system (structure plus device) with bounded inputs. The analysis and design can be performed using a set of available procedures: i) Lyapunov based methods [8,9]; ii) maximum energy dissipation algorithm and the modulated homogeneous friction algorithm [8,10]; iii) sliding mode control [11]; iv) quantitative feedback theory and backstepping control technique [12]; v) intelligent paradigms, like neural networks or fuzzy-logic [13]; vi) and force-tracking, consisting of a controller to derive a desired force and an algorithm to adjust the control variable, like optimal control [8,13], proportional plus integral control [14] or the force derivative feedback control [15], are typical controllers used for this purpose.…”