An Engineering Approach to Multicriteria Optimization of Bridge Structures

Lounis, Z; Cohn, M. Z.

doi:10.1111/j.1467-8667.1995.tb00285.x

Cited by 11 publications

(16 citation statements)

References 4 publications

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“…However, for p ≥2, a greater influence is given to larger deviations from the ideal solution, and L 2 represents the Euclidian metric. For p=∞, the largest deviation is the only one taken into account and is referred to as the Chebyshev metric or minimax criterion, and L ∞ corresponds to a purely individual utility (Duckstein 1984;Koski 1984;Lounis and Cohn 1995). In this paper, the Euclidean metric is used to determine the multi-objective criticality index and corresponding compromise solution.…”

Section: Formulation and Solution Of Multiobjective Sustainable Bridgmentioning

confidence: 99%

“…It combines engineering principles with sound business practice and economic theory for resources allocation and utilization. The actual bridge management problem can be defined as a multi-objective optimization problem (Lounis and Cohn 1995;Frangopol et al 1993;2005) in which the decision maker is seeking to select the best decisions that achieve the best tradeoffs between different competing objectives, such as maximizing public safety, minimizing environmental impacts, maximizing the levels of services and minimizing the life cycle costs.…”

Section: Introductionmentioning

confidence: 99%

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Multi-objective and probabilistic decision-making approaches to sustainable design and management of highway bridge decks

Lounis¹,

Daigle²

2013

Structure and Infrastructure Engineering

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/npsi/ctrl?lang=en http://nparc.cisti-icist.nrc-cnrc.gc.ca/npsi/ctrl?lang=fr Access and use of this website and the material on it are subject to the Terms and Conditions set forth at http://nparc.cisti-icist.nrc-cnrc.gc.ca/npsi/jsp/nparc_cp.jsp?lang=en NRC Publications Archive Archives des publications du CNRCThis publication could be one of several versions: author's original, accepted manuscript or the publisher's version. / La version de cette publication peut être l'une des suivantes : la version prépublication de l'auteur, la version acceptée du manuscrit ou la version de l'éditeur. For the publisher's version, please access the DOI link below./ Pour consulter la version de l'éditeur, utilisez le lien DOI ci-dessous.http://dx.doi.org/10. 1080/15732479.2012.657652 Structure and Infrastructure Engineering (Special Issue on Asset Management), pp. 1-20, 2012-02-01 Multi-objective and probabilistic decision-making approaches to sustainable design and management of highway bridge decks Lounis, Z.; Daigle, L.Multi-objective and probabilistic decision-making approaches to sustainable design and management of highway bridge decks Lounis, Z.; Daigle, L. NRCC-53995A version of this document is published in: The material in this document is covered by the provisions of the Copyright Act, by Canadian laws, policies, regulations and international agreements. Such provisions serve to identify the information source and, in specific instances, to prohibit reproduction of materials without written permission. The aging an deterioration of highway bridges and the new requirements for sustainable infrastructures and communities require innovative approaches for their management that can achieve an adequate balance between social, economic and environmental sustainability. This paper presents a multi-objective decision-making approach for the sustainable design and management of highway bridge decks, which can considers several and conflicting objectives, such as the minimization of owner's costs, users costs, and environmental impacts and uses goal setting and compromise programming to determine the satisficing and compromise solutions that yield the best trade-off between all competing objectives. The proposed approach is based on robust reliability-based mechanistic models of the deterioration and service life of reinforced concrete bridge decks, which include diffusion models for the prediction of chloride ingress into concrete and steel corrosion and thick-walled cylinder models for the prediction of stresses induced by the accumulating corrosion products in the concrete cover. The proposed approach is illustrated on the life cycle design and management of highway bridge decks using normal and high performance concrete. It is shown that the high performance concrete deck alternative is a Pareto optimum , while the normal concrete deck is found to be a dominated solution in terms in terms of life cycle costs and environmental impacts.

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Section: Formulation and Solution Of Multiobjective Sustainable Bridgmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multi-objective and probabilistic decision-making approaches to sustainable design and management of highway bridge decks

Lounis¹,

Daigle²

2013

Structure and Infrastructure Engineering

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“…For (p=∞), the largest deviation is the only one taken into account and is referred to as the Chebyshev metric or mini-max criterion and (L ∞ ) corresponds to a purely individual utility (Duckstein 1984;Koski 1984;Lounis and Cohn 1995). In this paper, the Euclidean metric is used to determine the multi-criteria optimality index and corresponding satisficing solution.…”

Section: Concept Of Pareto Optimalitymentioning

confidence: 99%

Integration of stochastic deterioration models with multicriteria decision theory for optimizing maintenance of bridge decks

Morcous¹,

Lounis²

2006

Can. J. Civ. Eng.

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“…Such a solution is referred to as "satisficing" solution in the multi-objective optimization literature (Koski 1984;Lounis and Cohn 1995). The determination of this satisficing solution is discussed in the next section.…”

Section: Overview Of Multi-objective Optimization Approachmentioning

confidence: 99%

“…However, for p ≥2, a greater weight is associated with the larger deviations from the ideal solution, and L 2 represents the Euclidian metric. For p=∞, the largest deviation is the only one taken into account and is referred to as the Chebyshev metric or mini-max criterion and L ∞ corresponds to a purely individual utility (Duckstein 1984;Koski 1984;Lounis and Cohn 1995;Lounis and Vanier 2000). In this paper, both the Euclidean and the Chebyshev metrics are used to determine the multi-objective optimality index and corresponding satisficing solution.…”

Section: Decision-making Under Multiple and Conflicting Objectivesmentioning

confidence: 99%

Risk-Based Maintenance Optimization of Aging Highway Bridge Decks

Lounis

Advances in Engineering Structures, Mechanics &Amp; Construction

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This paper presents a practical approach for maintenance optimization of a network of aging highway bridge decks that integrates a stochastic deterioration model based on Bogdanoff's cumulative damage theory with an effective multi-objective optimization approach. The multi-objective maintenance optimization takes into account all relevant objectives, such as improving bridge deck condition, minimizing maintenance costs, and minimizing traffic disruption and associated user costs. The consideration of these three objectives enables to take full advantage of the available bridge inspection data and implicitly lead towards the minimization of the risk of failure due to bridge deck deterioration and maintenance activities. A multi-objective optimality index is proposed as an optimality criterion for priority ranking of the deficient bridge decks for maintenance. The obtained optimal maintenance project prioritization strategy achieves a satisfactory trade-off or compromise between the selected relevant and competing optimization objectives. The proposed approach is illustrated on a small network of ten bridge deck projects that are optimized for maintenance.

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An Engineering Approach to Multicriteria Optimization of Bridge Structures

Cited by 11 publications

References 4 publications

Multi-objective and probabilistic decision-making approaches to sustainable design and management of highway bridge decks

Multi-objective and probabilistic decision-making approaches to sustainable design and management of highway bridge decks

Integration of stochastic deterioration models with multicriteria decision theory for optimizing maintenance of bridge decks

Risk-Based Maintenance Optimization of Aging Highway Bridge Decks

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