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This paper presents an overview of the research conducted at Lakehead University, and summarizes the assumptions and analyses used, related to probability-based design for reinforced concrete columns.
Table 2 summarizes the assumptions underlying the regional context scenarios (for details regarding driving forces, e.g., productivity changes and production resources, we refer to Walz et al. 2013).
Table 4 summarizes the assumptions and the distributions for the input parameters used in the different scenarios.
Table 2 summarizes the assumptions this study adopted for the economic analysis.
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This section summarizes the key assumptions made in the modelling process, their potential influence on results, and possibilities to relax the assumptions in future work.
Table 1 summarizes the simulation assumptions.
Table 2 summarizes the baseline assumptions employed.
Table 2 summarizes the respective assumptions for each modeling approach: Table 2 Different approaches for case study Approach [1] Status quo Partial optimization Full optimization [2] Order frequency [3] Facings/Displ. orient.
Table 3 summarizes the most important assumptions of the considered disaster scenario (unless mentioned otherwise).
Section 3 summarizes the characteristics and assumptions for location-based processing of monitoring information.
Section 3 summarizes the data and assumptions underlying our numerical case study.
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