In this paper the prevailing semi-empirical design method, used to predict design slamming pressures for high-speed craft and which is implemented in the scantling rules of the classification societies, is reconstructed and evaluated using numerical and experimental methodologies. It is shown that the present formulations are relevant in terms of the predicted pressures, but that there is room for improvements, particularly in relationship to modern high-speed craft structures. The design method is therefore modified in relationship to these observations using the numerical methodology, and it is concluded that these modifications result in significant improvements regarding the predicted design pressures. Finally a discussion on the analysis methodology; the formulation of lifetime design loads; and the structural loads developed due to the simplified design pressure model is presented. (C) 2014 Elsevier Ltd. All rights reserved.

The Allen Mouse Brain Connectivity Atlas is a mesoscale whole brain axonal projection atlas of the C57B1/6J mouse brain. Anatomical trajectories throughout the brain were mapped into a common 3D space using a standardized platform to generate a comprehensive and quantitative database of inter-areal and cell-type-specific projections. This connectivity atlas has several desirable features, including brain-wide coverage, validated and versatile experimental techniques, a single standardized data format, a quantifiable and integrated neuroinformatics resource, and an open-access public online database (http://connectivity.brain-map.org/). Meaningful informatics data quantification and comparison is key to effective use and interpretation of connectome data. This relies on successful definition of a high fidelity atlas template and framework, mapping precision of raw data sets into the 3D reference framework, accurate signal detection and quantitative connection strength algorithms, and effective presentation in an integrated online application. Here we describe key informatics pipeline steps in the creation of the Allen Mouse Brain Connectivity Atlas and include basic application use cases. (C) 2014 Elsevier Inc. All rights reserved.