To investigate fire-resistance behaviors of rectangular section stainless steel beams with three faces exposed to fire, fire resistance analysis models were established based on existing experiment data, and numerical simulation analysis was conducted.
In 2005, a split-plot design was superimposed on the existing experiment such that the main-plot treatments were irrigation frequency ("frequent", 7 14-day irrigation interval; "infrequent", 14–21-day irrigation interval), and sub-plot treatments were the historical tillage system/crop rotation combinations.
The theoretical prediction on elastic properties agreed reasonably with the existing experiment and theoretical results.
This process is slow, demanding of disk space, and requires possessing the original reads or mappings, which limits the number of subsamples that can be performed and the ease of performing this analysis on existing experiments.
Both hypotheses provide an adequate explanation of behavior in existing experiments, but the two approaches rely on very different interpretations of the factors underlying subjects' behavior.
Existing experiments were applied for validations.
In addition to storing data from experiments performed on existing lines, experiments that generate new lines and experimental samples, such as field collections, crosses and treatments, can be stored.
Both processes are described by many existing models and experiments, on-site and in wind tunnels, focussing e.g. on urban street canyons and crossings or vegetation barriers adjacent to traffic sources.
Numerical experiments show that the proposed algorithms can provide better performance than the existing ones on the running time.
To compare the performance of the proposed method with existing methods, experiments are performed on simulated data with corrupted outputs as well as on real-world data sets.
