Virtual Spring Method for Improving Accuracy in Real-Time Hybrid Testing of Reinforced-Concrete Structures

Real-time hybrid testing (RTHT) is an experimental technique for efficiently analyzing the dynamic responses of seismic structures. Since most parts of the tested structure are numerical simulated and only selected structural components are physically tested in RTHT, the costs and actuator power demands of RTHT are considerably lower than those of a shaking table test. Nevertheless, the actuator control commands in RTHT are typically calculated within the numerical substructure, and the actuators must follow these commands in real time to ensure the accuracy of the RTHT test results. Therefore, the actuator’s dynamic performance is a critical issue in RTHT, as deficiencies in actuator performance can significantly affect the accuracy of experimental results. To minimize the influence of inadequate actuator performance on the accuracy of RTHT, this paper proposes a control compensation method called the virtual spring method. To verify the proposed method, RTHT of a seven-story RC building utilizing the virtual spring method is conducted to compensate for the degraded actuator performance and the results are compared with theoretical responses. A comparison between the RTHT and the theoretical results reveals only a minute difference between the two results. Thus, this study demonstrates that the proposed virtual spring method is an effective approach for stabilizing the control system and mitigating the effect of control error on the accuracy of RTHT results.

Authors

Institutions

Publication Details

Journal
International Journal of Structural Stability and Dynamics
Published
2025-03-28
DOI
https://doi.org/10.1142/s0219455426502573
Primary Topic
Structural Health Monitoring Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Virtual Spring Method for Improving Accuracy in Real-Time Hybrid Testing of Reinforced-Concrete Structures

Fu‐Kuo Chang, Fu-Pei Hsiao, Lyan‐Ywan Lu, Shih‐Wei Yeh et al.
International Journal of Structural Stability and Dynamics
Structural Health Monitoring Techniques
article

Virtual Spring Method for Improving Accuracy in Real-Time Hybrid Testing of Reinforced-Concrete Structures

Fu‐Kuo Chang, Fu-Pei Hsiao, Lyan‐Ywan Lu, Shih‐Wei Yeh, An Shiu
article en

Abstract

Real-time hybrid testing (RTHT) is an experimental technique for efficiently analyzing the dynamic responses of seismic structures. Since most parts of the tested structure are numerical simulated and only selected structural components are physically tested in RTHT, the costs and actuator power demands of RTHT are considerably lower than those of a shaking table test. Nevertheless, the actuator control commands in RTHT are typically calculated within the numerical substructure, and the actuators must follow these commands in real time to ensure the accuracy of the RTHT test results. Therefore, the actuator’s dynamic performance is a critical issue in RTHT, as deficiencies in actuator performance can significantly affect the accuracy of experimental results. To minimize the influence of inadequate actuator performance on the accuracy of RTHT, this paper proposes a control compensation method called the virtual spring method. To verify the proposed method, RTHT of a seven-story RC building utilizing the virtual spring method is conducted to compensate for the degraded actuator performance and the results are compared with theoretical responses. A comparison between the RTHT and the theoretical results reveals only a minute difference between the two results. Thus, this study demonstrates that the proposed virtual spring method is an effective approach for stabilizing the control system and mitigating the effect of control error on the accuracy of RTHT results.

International Journal of Structural Stability and Dynamics
National Center for Research on Earthquake Engineering (TW), National Cheng Kung University (TW)
Sustainable cities and communities
Openalex Percentile: Top 94%
Structural Health Monitoring Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.