1,846 research outputs found

    P.G. Fookes, E.M. Lee et J.S. Griffiths, Engineering Geomorphology — Theory and practice

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    Après la parution en 2005 de l’ouvrage « Geomorphology for Engineers », co-édité par P.G. Fookes, E.M. Lee et G. Milligan (voir Géomorphologie : relief, processus, environnement, 2006, 2, 158-160), on est en droit de s’interroger sur la pertinence de ce nouveau manuel, rédigé par P.G. Fookes, E.M. Lee et J.S. Griffiths. La réponse est donnée dès la première phrase de l’avant-propos de Sir Ron Cooke « Engineers under-rate geomorphology at their peril; geomorphologists ignore their potential va..

    P.G. Fookes, E.M. Lee et J.S. Griffiths, Engineering Geomorphology — Theory and practice

    No full text
    Après la parution en 2005 de l’ouvrage « Geomorphology for Engineers », co-édité par P.G. Fookes, E.M. Lee et G. Milligan (voir Géomorphologie : relief, processus, environnement, 2006, 2, 158-160), on est en droit de s’interroger sur la pertinence de ce nouveau manuel, rédigé par P.G. Fookes, E.M. Lee et J.S. Griffiths. La réponse est donnée dès la première phrase de l’avant-propos de Sir Ron Cooke « Engineers under-rate geomorphology at their peril; geomorphologists ignore their potential va..

    On the reliability of the Autosub autonomous underwater vehicle

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    As autonomous underwater vehicles (AUVs) enter operational service an assessment of their reliability is timely. Using the Autosub AUV as an example, several design issues affecting reliability are discussed, followed by an analysis of recorded faults. Perhaps contrary to expectations, failures rarely involved the autonomous nature of the vehicle. Rather, faults were typical of those that occur with any complex item of marine electromechanical equipment. A statistical analysis showed that the failure rate decreased with distance travelled- an indicator that an AUV underway, submerged, is at less risk of a fault developing than during other phases of a mission. 1

    Quantum Griffiths Inequalities

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    We present a general framework of Griffiths inequalities for quantum systems. Our approach is based on operator inequalities associated with self-dual cones and provides a consistent viewpoint of the Griffiths inequality. As examples, we discuss the quantum Ising model, quantum rotor model, Bose-Hubbard model, and Hubbard model. We present a model-independent structure that governs the correlation inequalities

    A Markov Chain state transition approach to establishing critical phases for AUV reliability

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    The deployment of complex autonomous underwater platforms for marine science comprises a series of sequential steps. Each step is critical to the success of the mission. In this paper we present a state transition approach, in the form of a Markov chain, which models the sequence of steps from pre-launch to operation to recovery. The aim is to identify the states and state transitions that present higher risk to the vehicle and hence to the mission, based on evidence and judgment. Developing a Markov chain consists of two separate tasks. The first defines the structure that encodes the sequence of events. The second task assigns probabilities to each possible transition. Our model comprises eleven discrete states, and includes distance-dependent underway survival statistics. The integration of the Markov model with underway survival statistics allows us to quantify the likelihood of success during each state and transition and consequently the likelihood of achieving the desired mission goals. To illustrate this generic process, the fault history of the Autosub3 autonomous underwater vehicle provides the information for different phases of operation. The method proposed here adds more detail to previous analyses; faults are discriminated according to the phase of the mission in which they took place

    Results of expert judgments on the faults and risks with Autosub3 and an analysis of its campaign to Pine Island Bay, Antarctica, 2009

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    Probabilistic risk assessment is a methodology that can be systematically applied to estimate the risk associated with the design and operation of complex systems. The National Oceanography Centre, Southampton, UK has developed a risk management process tailored to the operation of autonomous underwater vehicles. Central to the application of the risk management process is a probabilistic risk assessment. The risk management process was applied to estimate the risk associated with an Autosub3 science campaign in the Pine Island Glacier, Antarctica, and to support decision making. The campaign was successful. In this paper we present the Autosub3 risk model and we show how this model was used to assess the campaign risk
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