Published April 2014 | Version v1
Journal article

A frequency response analysis approach for quantitative assessment of actuator tracking for real-time hybrid simulation

  • 1. Key Laboratory of Concrete and Prestressed Concrete Structures of the Ministry of Education, Southeast University, Nanjing 210096 (China)
  • 2. School of Engineering, San Francisco State University, San Francisco, CA 94132 (United States)

Description

Real-time hybrid simulation is a viable and economical technique that allows researchers to observe the behavior of critical elements at full scale when an entire structure is subjected to dynamic loading. To ensure reliable experimental results, it is necessary to evaluate the actuator tracking after the test, even when sophisticated compensation methods are used to negate the detrimental effect of servo-hydraulic dynamics. Existing methods for assessment of actuator tracking are often based on time-domain analysis. This paper proposes a frequency-domain-based approach to the assessment of actuator tracking for real-time hybrid simulations. To ensure the accuracy of the proposed frequency response approach, the effects of spectrum leakage are investigated as well as the length and sampling frequency requirements of the signals. Two signal pre-processing techniques (data segmentation and window transform) are also discussed and compared to improve the accuracy of the proposed approach. Finally the effectiveness of the proposed frequency-domain-based approach is demonstrated through both computational analyses and laboratory tests, including real-time tests with predefined displacement and real-time hybrid simulation. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/0964-1726/23/4/045042

Additional details

Publishing Information

Journal Title
Smart Materials and Structures (Print)
Journal Volume
23
Journal Issue
4
Journal Page Range
[13 p.]
ISSN
0964-1726

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
47048133
Subject category
S36: MATERIALS SCIENCE;
Descriptors DEI
ACCURACY; ACTUATORS; DYNAMIC LOADS; PROCESSING; REAL TIME SYSTEMS; SAMPLING; SIGNALS; SIMULATION; SPECTRA