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Robust design optimization is a frequently-utilized methodology to improve the robustness of structures and reducing the sensitivities of their mechanical performance indices to uncertain factors [5, 6, 7, 8].
The first measure quantifies robustness of structures with respect to their input variables while the second measure quantifies the overall robustness of a structure.
Second, mutational robustness (R m) accounts for the robustness of structures to single point mutations in the sncRNA sequence.
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The results have implications for the robustness of structure induced equilibria in general and the design of intralegislative "gatekeepers" (such as the Rules Committee in the U.S. House of Representatives) in particular.
To avoid these, we used a combination of clustering and energy score to evaluate our models, as native structure might be situated within a broad basin of low-energy conformations, to keep the efficiency and robustness of structure [ 23].
Because of the difficulties in obtaining a clear K value we have used a hierarchical approach, starting with a low, very robust value (K = 3), which reflects major divisions in the germplasm, namely (mainly) landrace, cultivar and wild respectively, then searching for internal structuring within these groups (see Robustness of Structure descriptions in Materials and Mathods).
The analytical model is design effective and hand-calculable, and thus it brings convenience to robustness assessment of structures in practice.
The importance of the ductility of connections has been highlighted for the robustness evaluation of structures in FEMA's report "Connection performance under impact loads… needs to be analytically understood and quantified for improved design capabilities and performance as critical components in structural frames".
Cheng et al. propose a new method for evaluating the feasibility and objective robustness of uncertain structures based on the new concept of interval violation vector, and realize the robust optimization of uncertain structures with interval parameters based on Kriging technique and nested genetic algorithm.
Thus, these actions can prevent a progressive collapse and hence increase the robustness of concrete structures.
Most part of them were preserved in composite due to the robustness of network structures.
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