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The increase in structural databases allows the satisfactory prediction of structures by theoretical methods, with advantages over more costly experimental methods.
Currently available automated prediction of structures is limited and inconsistent.
The assessment of whole-life costing and residual service life prediction of structures is very important.
The stochastic description of FCG for lifetime prediction of structures is the main subject of this paper.
These limitations need to be addressed in future works in order to develop accurate, robust and efficient simulation methods for response prediction of structures encountering extreme environments.
Whole-life costing and residual service-life prediction of structures require quantitative information on cover-zone properties and threshold values for corrosion initiation and, once initiated, the rate of corrosion.
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The dataset used in this in-silico study were obtained from different public database based on the criterion of availability of structural data or possibility of prediction of structure from complete or near complete protein sequence based on homology.
With this program, further research related to prediction of structure performance is planned to be conducted.
Comparative assessment of various homology modelling tools was evaluated using prediction of structure of B-domain of factor V.
This makes the model potentially suitable for the prediction of structure-borne interior noise.
An efficient method is presented for the prediction of structure-borne sound transmission in large welded ship structures.
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