3,586 research outputs found

    Age spreads in clusters and associations: the lithium test

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    We report the evidence that several low-mass stars (<~0.4 Msun) of the Orion and Upper Scorpius clusters have lithium abundances well below the interstellar value. Due to time-dependent depletion, our result implies stellar ages greater than ~5 Myr, suggesting that star formation has been proceeding for a long time in these systems.Comment: to appear in IMF@50: The Initial Mass Function 50 years later, eds. E. Corbelli et al. (Kluwer Acad. Press), 2004, in pres

    Efficient Monte Carlo Simulation of Biological Aging

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    A bit-string model of biological life-histories is parallelized, with hundreds of millions of individuals. It gives the desired drastic decay of survival probabilities with increasing age for 32 age intervals.Comment: PostScript file to appear in Int.J.Mod.Phys.

    Election results and the Sznajd model on Barabasi network

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    The network of Barabasi and Albert, a preferential growth model where a new node is linked to the old ones with a probability proportional to their connectivity, is applied to Brazilian election results. The application of the Sznajd rule, that only agreeing pairs of people can convince their neighbours, gives a vote distribution in good agreement with reality.Comment: 7 pages including two figures, for Eur. Phys. J.

    On Spatial Consensus Formation: Is the Sznajd Model Different from a Voter Model?

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    In this paper, we investigate the so-called ``Sznajd Model'' (SM) in one dimension, which is a simple cellular automata approach to consensus formation among two opposite opinions (described by spin up or down). To elucidate the SM dynamics, we first provide results of computer simulations for the spatio-temporal evolution of the opinion distribution L(t)L(t), the evolution of magnetization m(t)m(t), the distribution of decision times P(τ)P(\tau) and relaxation times P(μ)P(\mu). In the main part of the paper, it is shown that the SM can be completely reformulated in terms of a linear VM, where the transition rates towards a given opinion are directly proportional to frequency of the respective opinion of the second-nearest neighbors (no matter what the nearest neighbors are). So, the SM dynamics can be reduced to one rule, ``Just follow your second-nearest neighbor''. The equivalence is demonstrated by extensive computer simulations that show the same behavior between SM and VM in terms of L(t)L(t), m(t)m(t), P(τ)P(\tau), P(μ)P(\mu), and the final attractor statistics. The reformulation of the SM in terms of a VM involves a new parameter σ\sigma, to bias between anti- and ferromagnetic decisions in the case of frustration. We show that σ\sigma plays a crucial role in explaining the phase transition observed in SM. We further explore the role of synchronous versus asynchronous update rules on the intermediate dynamics and the final attractors. Compared to the original SM, we find three additional attractors, two of them related to an asymmetric coexistence between the opposite opinions.Comment: 22 pages, 20 figures. For related publications see http://www.ais.fraunhofer.de/~fran

    The Krause-Hegselmann Consensus Model with Discrete Opinions

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    The consensus model of Krause and Hegselmann can be naturally extended to the case in which opinions are integer instead of real numbers. Our algorithm is much faster than the original version and thus more suitable for applications. For the case of a society in which everybody can talk to everybody else, we find that the chance to reach consensus is much higher as compared to other models; if the number of possible opinions Q<=7, in fact, consensus is always reached, which might explain the stability of political coalitions with more than three or four parties. For Q>7 the number S of surviving opinions is approximately the same independently of the size N of the population, as long as Q<N. We considered as well the more realistic case of a society structured like a Barabasi-Albert network; here the consensus threshold depends on the outdegree of the nodes and we find a simple scaling law for S, as observed for the discretized Deffuant model.Comment: 12 pages, 6 figure

    Performance Assessment of Deteriorated and Retrofitted Steel HP Piles

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    Deterioration of aging bridges can be attributed to an assortment of mechanisms throughout the structure, with remediation policies also varying. This study focused on assessing the validity of the Nebraska Department of Roads’ (NDOR) reinforced concrete encasement retrofit for corroded steel HP piles. Experiments were designed and conducted to test the capacity of the NDOR retrofit and evaluate failure limit states. Two pile locations were considered: abutment and pile bent. For each location there was a non-deteriorated, deteriorated, and retrofitted case. These cases represented the pile at key stages during its life. NDOR’s concrete encasement retrofit provided the required stability and composite action to return the pile to full capacity. The key finding of the experimental study was a greater than anticipated steel-concrete bond stress. The bond stress observed was three times greater than the nominal recommended by AISC. A computational study was also conducted to investigate sensitivities and alternative configurations, such as geometric alterations, material properties, and reinforcement. The computational study emphasized the load transfer mechanism’s dependence on the type of load applied. Piles governed by axial compression with relatively minor moment were observed to be more sensitive to bond. The moment dominated loads required more surface to surface pressure transfer or bearing. Further investigation is recommended to determine the bond characteristics of steel fully encased by concrete. Advisor: Joshua Steelma
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