A state space‐based explicit integration method for real‐time hybrid simulation. Issue 4 (15th September 2015)
- Record Type:
- Journal Article
- Title:
- A state space‐based explicit integration method for real‐time hybrid simulation. Issue 4 (15th September 2015)
- Main Title:
- A state space‐based explicit integration method for real‐time hybrid simulation
- Authors:
- Liu, Yanhui
Goorts, Kevin
Ashasi‐Sorkhabi, Ali
Mercan, Oya
Narasimhan, Sriram - Abstract:
- Summary: Real‐time hybrid simulation (RTHS) combines experimental testing with numerical simulation. It provides an alternative method to evaluate the performance of structures subjected to dynamic loading such as earthquake or wind. During RTHS, a numerical integration algorithm is employed to directly solve the equation of motion and generate command displacements for the experimental test structure online. This paper presents an improved explicit numerical integration method for RTHS based on discrete state space formulation. The improved integration method utilizes an extrapolation‐based prediction procedure for command displacement by applying a zero‐order hold. The predicted command displacement is then used to compute the final command displacement by applying a first‐order hold. Both the stability and the accuracy of the proposed integration method are investigated using control theory and numerical and experimental simulations. The proposed method demonstrates improved performance compared with other integration methods. The robustness and feasibility of the proposed method were verified through experimental RTHS on two different computational platforms including a National Instruments system and a dSPACE embedded controller. The proposed method may also be implemented on other platforms containing an xPC target and MATLAB environment. By placing the algorithm on the dSPACE system, any dynamically rated actuator with a controller that can receive analog signal maySummary: Real‐time hybrid simulation (RTHS) combines experimental testing with numerical simulation. It provides an alternative method to evaluate the performance of structures subjected to dynamic loading such as earthquake or wind. During RTHS, a numerical integration algorithm is employed to directly solve the equation of motion and generate command displacements for the experimental test structure online. This paper presents an improved explicit numerical integration method for RTHS based on discrete state space formulation. The improved integration method utilizes an extrapolation‐based prediction procedure for command displacement by applying a zero‐order hold. The predicted command displacement is then used to compute the final command displacement by applying a first‐order hold. Both the stability and the accuracy of the proposed integration method are investigated using control theory and numerical and experimental simulations. The proposed method demonstrates improved performance compared with other integration methods. The robustness and feasibility of the proposed method were verified through experimental RTHS on two different computational platforms including a National Instruments system and a dSPACE embedded controller. The proposed method may also be implemented on other platforms containing an xPC target and MATLAB environment. By placing the algorithm on the dSPACE system, any dynamically rated actuator with a controller that can receive analog signal may be used for RTHS. Copyright © 2015 John Wiley & Sons, Ltd. … (more)
- Is Part Of:
- Structural control and health monitoring. Volume 23:Issue 4(2016)
- Journal:
- Structural control and health monitoring
- Issue:
- Volume 23:Issue 4(2016)
- Issue Display:
- Volume 23, Issue 4 (2016)
- Year:
- 2016
- Volume:
- 23
- Issue:
- 4
- Issue Sort Value:
- 2016-0023-0004-0000
- Page Start:
- 641
- Page End:
- 658
- Publication Date:
- 2015-09-15
- Subjects:
- real‐time hybrid simulation -- integration method -- discrete state space formulation -- stability -- Bouc–Wen model
Structural engineering -- Periodicals
Structural control (Engineering) -- Periodicals
Automatic data collection systems -- Periodicals
Detectors -- Periodicals
624.17 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/stc.1798 ↗
- Languages:
- English
- ISSNs:
- 1545-2255
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 8476.924000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 48.xml