155 research outputs found

    Optimal Inspection and Maintenance Planning for Deteriorating Structural Components through Dynamic Bayesian Networks and Markov Decision Processes

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    Civil and maritime engineering systems, among others, from bridges to offshore platforms and wind turbines, must be efficiently managed as they are exposed to deterioration mechanisms throughout their operational life, such as fatigue or corrosion. Identifying optimal inspection and maintenance policies demands the solution of a complex sequential decision-making problem under uncertainty, with the main objective of efficiently controlling the risk associated with structural failures. Addressing this complexity, risk-based inspection planning methodologies, supported often by dynamic Bayesian networks, evaluate a set of pre-defined heuristic decision rules to reasonably simplify the decision problem. However, the resulting policies may be compromised by the limited space considered in the definition of the decision rules. Avoiding this limitation, Partially Observable Markov Decision Processes (POMDPs) provide a principled mathematical methodology for stochastic optimal control under uncertain action outcomes and observations, in which the optimal actions are prescribed as a function of the entire, dynamically updated, state probability distribution. In this paper, we combine dynamic Bayesian networks with POMDPs in a joint framework for optimal inspection and maintenance planning, and we provide the formulation for developing both infinite and finite horizon POMDPs in a structural reliability context. The proposed methodology is implemented and tested for the case of a structural component subject to fatigue deterioration, demonstrating the capability of state-of-the-art point-based POMDP solvers for solving the underlying planning optimization problem. Within the numerical experiments, POMDP and heuristic-based policies are thoroughly compared, and results showcase that POMDPs achieve substantially lower costs as compared to their counterparts, even for traditional problem settings

    Orthorhombicity mixing of s- and d- gap components in YBa2Cu3O7YBa_2Cu_3O_7 without involving the chains

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    Momentum decoupling develops when forward scattering dominates the pairing interaction and implies tendency for decorrelation between the physical behavior in the various regions of the Fermi surface. In this regime it is possible to obtain anisotropic s- or d-wave superconductivity even with isotropic pairing scattering. We show that in the momentum decoupling regime the distortion of the CuO2CuO_2 planes is enough to explain the experimental reports for s- mixing in the dominantly d-wave gap of YBa2Cu3O7YBa_2Cu_3O_7. In the case of spin fluctuations mediated pairing instead, a large part of the condensate must be located in the chains in order to understand the experiments.Comment: LATEX file and 3 Postscript figure

    Noncollinear magnetic ordering in small Chromium Clusters

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    We investigate noncollinear effects in antiferromagnetically coupled clusters using the general, rotationally invariant form of local spin-density theory. The coupling to the electronic degrees of freedom is treated with relativistic non-local pseudopotentials and the ionic structure is optimized by Monte-Carlo techniques. We find that small chromium clusters (N \le 13) strongly favor noncollinear configurations of their local magnetic moments due to frustration. This effect is associated with a significantly lower total magnetization of the noncollinear ground states, ameliorating the disagreement between Stern-Gerlach measurements and previous collinear calculations for Cr_{12} and Cr_{13}. Our results further suggest that the trend to noncollinear configurations might be a feature common to most antiferromagnetic clusters.Comment: 9 pages, RevTeX plus .eps/.ps figure

    Social representations and community attitudes towards spring breakers

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    Social representations theory has been adopted for explaining tourism impacts and local attitudes. However, its usefulness in segmenting local population in terms of their attitudes towards specific types of tourists has not been tested. This study identifies the attitudes of local people towards spring break, a North American young tourist phenomenon in the context of the Mexican beach resort of Acapulco. Although residents perceive an increase in alcohol consumption, drug use, noise and litter during the spring break season, they largely recognise economic benefits and are thus generally supportive for the phenomenon. Based on these attitudes, three clusters were identified: spring break supporters (identified by their high appreciation of spring break benefits), ambivalents (who are uncertain about both benefits and costs) and realistics (characterised by recognising both benefits and costs). The main contribution of this study lies in the confirmation of the usefulness of social representations theory in explaining residents’ attitudes towards a very specific type of tourists whose hedonist behaviours are a common characteristic

    Aspects of sustainability in the destination branding process: a bottom-up approach

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    The concept of sustainability is based on the premise that the inhabitants of a destination should be involved in the way that destination is managed and promoted. At the same time, the literature of place branding emphasizes the important role of local stakeholders in the creation of a true and reliable place brand. In fact, the process of developing a destination brand begins with the aim of shaping the identity of a destination; what the destination stands for. The sustainable dimensions of the destination branding process are explored, while focus groups and structured questionnaires are used to evaluate the usefulness of projection techniques in the process of building a brand identity. It seems that the use of the personification technique could work as an effective destination positioning exercise and as an alternative proposal to the outdated clichés used in tourism promotion
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