Life Cycle Cost Evaluation Strategy for High Performance Control Systems under Uncertainties

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2019-01-01
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Micheli, Laura
Cao, Ling
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Alipour, Alice
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Civil, Construction and Environmental Engineering

The Department of Civil, Construction, and Environmental Engineering seeks to apply knowledge of the laws, forces, and materials of nature to the construction, planning, design, and maintenance of public and private facilities. The Civil Engineering option focuses on transportation systems, bridges, roads, water systems and dams, pollution control, etc. The Construction Engineering option focuses on construction project engineering, design, management, etc.

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The Department of Civil Engineering was founded in 1889. In 1987 it changed its name to the Department of Civil and Construction Engineering. In 2003 it changed its name to the Department of Civil, Construction and Environmental Engineering.

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1889-present

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  • Department of Civil Engineering (1889-1987)
  • Department of Civil and Construction Engineering (1987-2003)
  • Department of Civil, Construction and Environmental Engineering (2003–present)

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Electrical and Computer Engineering

The Department of Electrical and Computer Engineering (ECpE) contains two focuses. The focus on Electrical Engineering teaches students in the fields of control systems, electromagnetics and non-destructive evaluation, microelectronics, electric power & energy systems, and the like. The Computer Engineering focus teaches in the fields of software systems, embedded systems, networking, information security, computer architecture, etc.

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The Department of Electrical Engineering was formed in 1909 from the division of the Department of Physics and Electrical Engineering. In 1985 its name changed to Department of Electrical Engineering and Computer Engineering. In 1995 it became the Department of Electrical and Computer Engineering.

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1909-present

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  • Department of Electrical Engineering (1909-1985)
  • Department of Electrical Engineering and Computer Engineering (1985-1995)

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High-performance control systems (HPCSs), including active, hybrid, and semi-active control strategies, can perform over a wide excitation bandwidth and are therefore good candidates for multi-hazard mitigation. However, the number of HPCS applications in the field is very limited. This is likely due the perceived high costs of installation, maintenance, possible malfunction, and lack of tools to financially justify their implementation. Such financial justifications could be conducted through life cycle cost (LCC) analysis, but would result in a computationally demanding task due to the very large number of simulations required given the large number of uncertainties. In this paper, two sets of methods for conducting LCC analyses are compared, and their performance is assessed as a function of LCC estimation accuracy and computational requirements. The first set is based on deterministic scenarios, and is based on the simulation of all possible scenarios, termed what-if analysis. Variations of the what-if method are investigated, where the simulations are only conducted for the most likely scenarios, termed most-likely (ML) analysis. The second set is based on stochastic scenarios, and is based on Monte-Carlo (MC) analysis. Variations of the MC method are investigated, one based on the coefficient of variation of output data, and one proposed by the authors based on the convergence of the estimated costs, termed bounded MC. A demonstration of the LCC analysis methodology is conducted, where an HPCS is used for the mitigation of seismic-induced vibrations on a five story structure. Uncertainties under consideration include sensor failure, mechanical wear, and seismic events. Results are compared against the uncontrolled structure and a passive viscous strategy, and demonstrate that 1) the LCC methodology can be used to financially justify the utilization on an HPCS; and 2) the bounded MC method leads to accurate cost estimations using a lower number of simulations.

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This is a manuscript of the article Micheli, Laura, Liang Cao, Simon Laflamme, and Alice Alipour. "Life Cycle Cost Evaluation Strategy for High Performance Control Systems under Uncertainties" (2019).

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Tue Jan 01 00:00:00 UTC 2019
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