Abstract

Adaptive high-rise buildings can achieve significantly reduced resource consumption by incorporating actuators, sensor systems, and a control unit into the structure to compensate for the reduced stiffness. A vital step toward the wide real-world viability of this concept is ensuring the long-term operational reliability of adaptive buildings even in case of components malfunctioning. This article presents a comprehensive mechanical model of a large-scale adaptive high-rise structure incorporating various sensor systems as well as different actuation principles. As a basis for the simulative validation under critical load scenarios, a detailed model for wind disturbances is derived, accounting for time-variant velocity and direction. A parity space-based fault diagnosis scheme is employed for the reliable diagnosis of faulty sensors and actuators. Based upon the fault diagnosis, a reconfiguration strategy for estimation and control in adaptive structures is proposed. Assembling these components yields a fault-tolerant control loop that automatically adapts to the emergence of faults in sensors and actuators. In exemplary simulation scenarios, the proposed approach is demonstrated to be effective, largely mitigating the faults’ impact and recovering the nominal performance.

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Data Availability Statement

All data, models, and code that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

This work was supported by the German Research Foundation (DFG, Deutsche Forschungsgemeinschaft, Project-ID 279064222), as a part of the collaborative research center CRC 1244 (SFB1244) “Adaptive Skins and Structures for the Built Environment of Tomorrow” Projects B03, B04, and B02.

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Go to Journal of Structural Engineering
Journal of Structural Engineering
Volume 150Issue 4April 2024

History

Received: Mar 31, 2023
Accepted: Nov 8, 2023
Published online: Jan 18, 2024
Published in print: Apr 1, 2024
Discussion open until: Jun 18, 2024

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Ph.D. Student, Institute for System Dynamics, Univ. of Stuttgart, Stuttgart 70563, Germany (corresponding author). ORCID: https://orcid.org/0000-0002-1854-9910. Email: [email protected]
Ph.D. Student, Institute for System Dynamics, Univ. of Stuttgart, Stuttgart 70563, Germany. ORCID: https://orcid.org/0000-0002-8187-736X. Email: [email protected]
Charlotte Stein [email protected]
Ph.D. Student, Institute for System Dynamics, Univ. of Stuttgart, Stuttgart 70563, Germany. Email: [email protected]
Postdoctoral Researcher, Institute for System Dynamics, Univ. of Stuttgart, Stuttgart 70563, Germany. ORCID: https://orcid.org/0000-0002-6290-5783. Email: [email protected]
Cristina Tarín [email protected]
Full Professor, Institute for System Dynamics, Univ. of Stuttgart, Stuttgart 70563, Germany. Email: [email protected]
Oliver Sawodny [email protected]
Full Professor and Director, Institute for System Dynamics, Univ. of Stuttgart, Stuttgart 70563, Germany. Email: [email protected]

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