Model-based design and experimental validation of active vibration control for a stress ribbon bridge using pneumatic muscle actuators

Bleicher, Achim; Schlaich, Markus P.; Fujino, Yozo; Schauer, Thomas

doi:10.1016/j.engstruct.2011.02.035

Cited by 62 publications

(38 citation statements)

References 9 publications

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“…To test the proposed methodology, a 13‐m long stress‐ribbon bridge (shown in Figure ) located at the Technical University Berlin is used as an experimental test bed. The details of this bridge have been described in . This bridge is a stress‐ribbon bridge, which belongs to a class of lightweight and versatile footbridges that have gained popularity in the recent past .…”

Section: A Case Study On Pedestrian Bridgementioning

confidence: 99%

Ambient modal identification using multi-rank parallel factor decomposition

Sadhu

Goldack

Narasimhan

2014

Struct. Control Health Monit.

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Summary In this paper, the problem of underdetermined modal identification where the number of modes to be identified is larger than the available sensor measurements is addressed using parallel factor decomposition and blind source separation. Underdetermined situations not only arise when the number of sensors are limited but also when narrowband excitations are present in the measurements, for example, in pedestrian‐induced vibration of footbridges. The basic premise of the proposed algorithm is based on multiple‐rank parallel factor decomposition of covariance tensors constituted from vibration response measurements. Unlike conventional parallel factor decomposition using a single rank order, the proposed method utilizes multiple rank order decompositions. A stability chart constructed from identified sources through such multiple rank orders allows for the robust estimation of active modes. The statistical characteristics of the resulting modes are evaluated in order to delineate the sources corresponding to external disturbances versus inherent modes of the system. The proposed framework enables an automated selection of rank order, detection of external harmonics and an estimation of modal parameters that are relatively insensitive to the sensor configuration. The performance of the algorithm is illustrated using both numerical studies and an experimental study using pedestrian‐induced vibration measurements of a stress‐ribbon bridge located at the Technical University—Berlin, Germany. Copyright © 2014 John Wiley & Sons, Ltd.

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Section: A Case Study On Pedestrian Bridgementioning

confidence: 99%

Ambient modal identification using multi-rank parallel factor decomposition

Sadhu

Goldack

Narasimhan

2014

Struct. Control Health Monit.

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“…2 Larger structures, like bridges and towers, are influenced by strong winds and earthquakes. 3 Some of these vibrations are extremely destructive and may cause unwanted stress and even failure. Attenuation of these oscillations in major parts of the structure has therefore become very crucial in recent years.…”

Section: Introductionmentioning

confidence: 99%

Implementation of modified positive velocity feedback controller for active vibration control in smart structures

2014

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This paper introduces the Modified Positive Velocity Feedback (MPVF) controller as an alternative to the conventional Positive Position Feedback (PPF) controller, with the goal of suppressing unwanted resonant vibrations in smart structures. The MPVF controller uses two parallel feedback compensators working on the fundamental modes of the structure. The vibration velocity is measured by a sensor or state estimator and is fed back to the controller as the input. To control n-modes, n sets of parallel compensators are required. MPVF controller gain selection in multimode cases highly affects the control results. This problem is resolved using the Linear Quadratic Regulator (LQR) and the M-norm optimization method, which are selected to form the desired performance of the MPVF controller. First, the controller is simulated for the two optimization approaches, and then, experimental investigation of the vibration suppression is performed. The LQR-optimized MPVF provides a better suppression in terms of vibration displacement. The M-normoptimized MPVF controller focuses on modes with higher magnitudes of velocity and provides a higher level of vibration velocity suppression than LQR-optimized method. Vibration velocity attenuation can be very important in preventing fatigue failures due to the fact that velocity can be directly related to stress.

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“…Few contemporary suspended footbridges have been built with rope material other than steel. Two temporary, laboratory-scale prototypes include a 13 m span stress ribbon that has carbon fiber reinforced polymer (CFRP) ropes and a concrete deck [15] and a 13.7 m polyester-rope truss [16]. One key larger scale example is a 64 m span, 1.02 m wide polyester-rope suspended footbridge with a non-composite wood deck completed in 2013 in Ait Bayoud, Morocco (Fig.…”

Section: Introductionmentioning

confidence: 99%