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This dataset contains 300 seismic models of Mars compatible with seismic travel times of marsquakes observed until January 2021. The inversion is described in detail in Stähler et al. (2021): Seismic detection of the Martian Core, Science. See the description therein. The provided zip file contains 100 models each of the "geophysical", "geodynamical" and "seismic" inversion. All model files are provided in the nd format of TauP. For compatibility reasons, each model has a small inner core. This is not a feature resolved by the inversion.

Many manufacturing processes involved in the fabrication and assembly of “high-tech” components have highly variable yields that complicate the planning and control of production. We develop a procedure to determine optimal input quantities at each stage of a serial production system in which process yields at each stage of production may be stochastic. The procedure is applied to an example in the manufacture of a light-emitting diode (LED) display using actual yield data. We also provide a brief analysis of the quantifiable savings obtained by reducing the variability of the yield at one production stage.

Coordination of design information during the detailed design stage is essential for the design team to provide quality construction technical documents that are free of incompatibility errors. An analysis concerning current design coordination practices in the building industry revealed that design changes constitute a major cause of failure. More specifically, propagation of changes among the various design disciplines is deficient due to lack of required “linking” knowledge. Such knowledge is necessary to propagate the effect of a design change by one discipline on the other disciplines involved in the design of a building. This paper presents an information model that aims to help the coordination of design information through managing design changes. The model uses a central database, which is developed not only to carry the building components data, but also to make these components active in assisting the coordination process. In addition to its ability to propagate design changes, the model is cap...

Side channels are popular methods to reduce flood levels or to increase the ecological value of rivers. Here we asses four side channels in the River Ain (France). In combination with 1D model simulations, we identify the characteristics and processes regarding the erosion and sedimentation patterns. The relative slope of the channels, the bifurcation angle, bend flow and bank erosion turn out to be important parameters for the identification of the processes.

The issue of feature selection is of considerable importance, particularly where artificial neural networks are used, as the size of the network is directly related to the number of input sources. Despite the fact that artificial neural networks have been applied to solve many problems in different fields, and found to be superior to conventional statistical classifiers, they have a major drawback: the need to define the optimum network size for a particular problem. In remote sensing applications, which are generally in the area of image classification, the use of more input features would make the network overspecific to the training data. Over-specificity reduces the generalisation capabilities of a neural network.

Abstract The reactor power is an essential parameter used for calculating the coefficients of a nuclear reactor such as the absolute flux, reaction rate, power density, fuel burn-up, and the source term. The power is dependent on the driving neutron source strength in the subcritical reactors. In this work, MCNP5 code based on Monte Carlo method was used to model the 3D configuration of the subcritical assembly and its driving source. The aim of this paper is to calculate the amount of energy produced by the subcritical assembly, to estimate the absolute neutron flux along the radial and axial axis, and to determine other coefficients such as K eff and ν. Using MCNP, the reactor power and flux computations were performed using two methods: the fixed source (nps) calculations and the criticality (K code ) calculations. This research compared the results obtained from the two methods, and discussed any significant deviation in the computation results.

The numerical modelling of geotechnical problems often poses major challenges when large displacements and strain localization are involved. Conventional continuum mechanical approaches like the finite element method (FEM) or the finite difference method (FDM) suffer from mesh distortion and numerical inaccuracy when large deformations are involved. In addition, they require the use of appropriate constitutive models to simulate the soil behaviour. The distinct element method is a promising alternative for large deformation analyses. It does not have the limitations resulting from the numerical discretization of the continuumand not need a constitutive model since the macroscopic response results from the individual particle interaction. However, the maximum number of particles and therefore the domain of the simulation is nowadays limited by the available computational capacity. To overcome this limitation, a coupled DEM-FDM approach is proposed used to optimize the number of particles for a combined numerical domain consisting of areas of large and small displacements. The performance of the coupled DEM-FDM approach is investigated by simulating cone penetration tests in coarse grained soils.