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The resistivity and IP signature obtained were compared to other physical, lithological, and material data, in order to examine their controlling factors.
The proposed system uses an IFCXML file of a building information model as a source of input data, captures material data in the files, and automates the process of material property input.
Because of the lack of reliable material data (in the statistic sense) or available response models, only those more prone to be analyzed using reliability-based methods are shown in this paper: four-hinge mechanism and ring separation.
Use of fiber-reinforced polymer-matrix (FRP) composites in structural design requires material data, in particular on their cyclic fatigue delamination behavior under various modes of loading, e.g., tensile opening (Mode I) or in-plane shear (Mode II) and the associated threshold values.
This leads to a conceptual material data model consisting of three partial models, namely 'substance'phaseasystem'em', and 'phase system mathematical model', each representing a separate perspective of material data in accordance with the physical basis as well as practical uses.
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The model captures planning and scheduling data as well as the progress equipment and materials data in a computer-interpretable form.
The material data used in the simuations are given in Tables 1, 2 and 3.
The material data needed in this determination is a dynamic one.
The material data embodied in the GLIO are obtained by multiplying the trade volumes of each commodity by its percentage metal content as described in Nansai et al. (2014).
Material data commonly found in the literature for steel pipes in crack-arrest experiments is not sufficient to directly calibrate the material model used here.
Material data is given in Table 1.
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