Presentation + Paper
11 April 2017 Probabilistic performance-based design for high performance control systems
Author Affiliations +
Abstract
High performance control systems (HPCS) are advanced damping systems capable of high damping performance over a wide frequency bandwidth, ideal for mitigation of multi-hazards. They include active, semi-active, and hybrid damping systems. However, HPCS are more expensive than typical passive mitigation systems, rely on power and hardware (e.g., sensors, actuators) to operate, and require maintenance. In this paper, a life cycle cost analysis (LCA) approach is proposed to estimate the economic benefit these systems over the entire life of the structure. The novelty resides in the life cycle cost analysis in the performance based design (PBD) tailored to multi-level wind hazards. This yields a probabilistic performance-based design approach for HPCS. Numerical simulations are conducted on a building located in Boston, MA. LCA are conducted for passive control systems and HPCS, and the concept of controller robustness is demonstrated. Results highlight the promise of the proposed performance-based design procedure.
Conference Presentation
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Laura Micheli, Liang Cao, Yongqiang Gong, Alessandro Cancelli, Simon Laflamme, and Alice Alipour "Probabilistic performance-based design for high performance control systems", Proc. SPIE 10164, Active and Passive Smart Structures and Integrated Systems 2017, 101642I (11 April 2017); https://doi.org/10.1117/12.2261449
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CITATIONS
Cited by 6 scholarly publications.
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KEYWORDS
Magnesium

Control systems

Hazard analysis

Computer simulations

Magnetic resonance imaging

Seaborgium

Turbulence

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