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Model-Based Framework for Real-Time Dynamic Structural Performance Evaluation

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Title: Model-Based Framework for Real-Time Dynamic Structural Performance Evaluation
Author(s): Phillips, Brian M.; Spencer, Billie F., Jr.
Subject(s): hybrid simulation real-time hybrid simulation actuator dynamics model-based actuator control multi-actuator control multi-metric feedback MR dampers shake table control
Abstract: Extreme dynamic events continue to demonstrate the fragility of civil infrastructure worldwide. Over the years, design codes and computational tools have come to reflect an improved understanding of dynamic loads and effects. However, experimental testing often drives these changes. Experimental testing is vital to understanding the behavior of structures subjected to these dynamic loads and evaluating new solutions for hazard mitigation. Common experimental frameworks include quasi-static testing, shake table testing, and hybrid simulation. The tradeoffs in loading protocol make each experimental framework attractive in different situations. Hybrid simulation is a powerful, cost-effective framework for testing structural systems, closely coupling numerical simulation and experimental testing to obtain the complete response of a structure. Through substructuring, the well-understood components of the structure are modeled numerically, while the components of interest are tested physically. Generally, an arbitrary amount of time may be used to calculate and apply displacements at each step of the hybrid simulation. However, when the rate-dependent behavior of the physical specimen is important, real-time hybrid simulation (RTHS) must be employed. In RTHS, computation, communication, and actuator limitations cause delays and lags which lead to inaccuracies and potential instabilities. At the same time, the phenomenon of control-structure interaction (CSI) leads to a coupling of the dynamic behavior of the actuators and the structure. Traditional actuator control approaches for RTHS compensate for an apparent time delay or time lag rather than address the actuator dynamics directly. Furthermore, most actuator control approaches focus on single-actuator systems. The model-based actuator control approach proposed herein directly addresses actuator dynamics including CSI and actuator coupling through model-based feedforward-feedback control. The feedback controller is flexible to include multi-metric measurements for improved tracking of higher-order derivatives, moving beyond the traditional focus solely on displacement tracking. The proposed approach is illustrated for predefined trajectories as well as RTHS of both single and multi-actuator systems. The similarities between actuator control for RTHS and shake tables are leveraged to apply the proposed model-based control approach to acceleration tracking. Shake tables provide a direct means by which to evaluate structural performance under earthquake excitation. Essentially, an actuator excites a base plate on which a structural model is mounted with a predefined acceleration record. Improvements to acceleration tracking is explored in the presence of large nonlinearities in shake table behavior as well as changes in shake table dynamics through CSI. The research presented in this report provides an advanced framework for the dynamic performance evaluation of structural systems. A broad class of structures is considered for RTHS, including multi-degree-of-freedom (MDOF) structures through accurate control across a broad frequency range, multi-actuator systems through the modeling of actuator coupling, and improved tracking of higher-order derivatives through multi-metric feedback control. Application to shake table control demonstrates the versatility of the proposed actuator control scheme for general real-time actuator control.
Issue Date: 2012-08
Date Updated: 2012-10-01
2012-10-02
Publisher: Newmark Structural Engineering Laboratory. University of Illinois at Urbana-Champaign.
Series/Report: Newmark Structural Engineering Laboratory Report Series 031
Genre: Technical Report
Type: Text
Language: English
URI: http://hdl.handle.net/2142/33794
ISSN: 1940-9826
Sponsor: NSF CMMI-1011534
Rights Information: Copyright held by the authors. All rights reserved.
Date Available in IDEALS: 2012-08-30
 

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