Characterisation and simulation of asphalt road surfaces

Accurate simulation of rolling-tyre vibrations, and the associated noise, requires knowledge of road-surface topology. Full scans of the surface types in common use are, however, not widely available, and are likely to remain so. Ways of producing simulated surfaces from incomplete starting information are thus needed. In this paper, a simulation methodology based solely on line measurements is developed, and validated against a full two-dimensional height map of a real asphalt surface. First the tribological characteristics-asperity height, curvature and nearest-neighbour distributions-of the real surface are analysed. It is then shown that a standard simulation technique, which matches the (isotropic) spectrum and the probability distribution of the height measurements, is unable to reproduce these characteristics satisfactorily. A modification, whereby the inherent granularity of the surface is enforced at the initialisation stage, is introduced, and found to produce simulations whose tribological characteristics are in excellent agreement with the measurements. This method will thus make high-fidelity tyre-vibration calculations feasible for researchers with access to line-scan data only. In addition, the approach to surface tribological characterisation set out here provides a template for efficient cataloguing of road textures, as long as the resulting information can subsequently be used to produce sample realisations. A third simulation algorithm, which successfully addresses this requirement, is therefore also presented. © 2011 Elsevier B.V.

KM your way to CMMI

Purpose - The purpose of this paper is to describe two related fields - knowledge management (KM) and capability maturity model integrated (CMMISM) and highlight their imilarities. Design/methodology/approach - The KM framework used for this comparison is the one established and used at Israel Aircraft Industries, while the CMMISM source of information is none but the original document produced by the CMMISM product team at the Carnegie Mellon University, as well as papers published on the subject. Findings - Knowledge management is a rather young discipline promising to maximize innovation and competitive advantage to organizations that practice knowledge capture, documentation, retrieval and reuse, creation, transfer and share to its knowledge assets in a measurable way, integrated in its operational and business processes. The capability maturity model integrated deals with the ways an organization has to follow, in order to maintain well mapped processes, having well defined stages, because of the assumption that in mature organizations, it is possible to measure and relate between the quality of the process and the quality of the product. Though KM and CMMISM take different approaches to the achievement of competitive advantage, they seem to be supporting as well as dependent of each other. Originality/value - Practitioners as well as researchers in the field of knowledge management and in the implementation of the CMMISM standard will find comfort in realizing how mutually supportive are these two fields. © Emerald Group Publishing Limited.