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The overall aim of the paper is to provide clear and thorough information for validation and verification of methods and codes used to analyze fluid related shape optimization problems.
This has potential to enhance the validation and reliability of our analysis through cross verification of methods used.
These efforts have merged the need of scientific verification of methods used in research, with the widespread practice of crowd-sourcing, to create a sort of collaboration-by-competition communities.
The validation or verification of methods, as defined in Table 1, is a formal requirement for the accreditation of laboratories according to the two major international standards applicable to genetic testing laboratories, ISO 15189 and ISO 17025.
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From results obtained over the years from participation in proficiency tests, an additional and independent verification of method performance could be made.
Although methods for predicting unsaturated soil properties have been developed, the verification of these methods for a wide range of soil types is required in order to increase the confidence of practicing engineers in using these methods.
Verification of deterministic methods and obtained results is provided by Monte Carlo simulation.
Then, the experimental verification of proposed methods is conducted detecting the location of damages in a simple laboratory frame.
For verification of the methods implemented in the database application fuzzy logic in expert system has been used.
Additionally, real-world case studies are considered an important direction for further verification of these methods in the built environment.
There are no simulated data throughout this study and all data used for development and verification of all methods are actual field data.
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