Publication

Designing measurement systems for continuous monitoring of structures

Ian Smith, Nizar Bel Hadj Ali, Ngoc Thanh Trinh, Irwanda Laory
2011
Conference Papers

Abstract

A good measurement system improves capability to identify the behavior of civil engineering structures. This paper presents a measurement-system design approach for continuous monitoring of structures. This approach performs two tasks: (1) determining the appropriate number of sensors to be employed and (2) placing the sensors in the most informative locations. Measurement systems are designed using three criteria: minimize the number of non-detectable scenarios, minimize the average time to detection and maximize damage detectability. To select the best compromise solution in the solution set obtained from multi-objective optimization, two multi-criteria decision-making methods, Pareto-Edgeworth-Grierson multi-criteria decision-making (PEG-MCDM) and Preference Ranking Organization METhod for Enrichment Evaluation (PROMETHEE), are employed. A railway truss bridge in Zangenberg (Germany) is used as a case study where measurement data are interpreted using a model-free (non-physics based) method - Moving Principal Component Analysis (MPCA). Results demonstrate that the proposed approach is able to provide engineers with measurement-system-design support for continuous monitoring of structures.

Official source

https://infoscience.epfl.ch/entities/publication/9336e0b4-e714-4a6f-a405-4343ad3660f3

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Ian Smith, Nizar Bel Hadj Ali, Ngoc Thanh Trinh, Irwanda Laory
2011
Conference Papers

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/9336e0b4-e714-4a6f-a405-4343ad3660f3

About this result

Related concepts (21)

Multiple-criteria decision analysis

Multiple-criteria decision-making (MCDM) or multiple-criteria decision analysis (MCDA) is a sub-discipline of operations research that explicitly evaluates multiple conflicting criteria in decision making (both in daily life and in settings such as business, government and medicine). Conflicting criteria are typical in evaluating options: cost or price is usually one of the main criteria, and some measure of quality is typically another criterion, easily in conflict with the cost.

Multi-objective optimization

Multi-objective optimization or Pareto optimization (also known as multi-objective programming, vector optimization, multicriteria optimization, or multiattribute optimization) is an area of multiple-criteria decision making that is concerned with mathematical optimization problems involving more than one objective function to be optimized simultaneously. Multi-objective is a type of vector optimization that has been applied in many fields of science, including engineering, economics and logistics where optimal decisions need to be taken in the presence of trade-offs between two or more conflicting objectives.

Condorcet method

A Condorcet method (pronkɒndɔrˈseɪ; kɔ̃dɔʁsɛ) is an election method that elects the candidate who wins a majority of the vote in every head-to-head election against each of the other candidates, that is, a candidate preferred by more voters than any others, whenever there is such a candidate. A candidate with this property, the pairwise champion or beats-all winner, is formally called the Condorcet winner. The head-to-head elections need not be done separately; a voter's choice within any given pair can be determined from the ranking.

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