Prediction of blast fragmentation using multivariate analysis procedures
β Scribed by T. Hudaverdi; P. H. S. W. Kulatilake; C. Kuzu
- Publisher
- John Wiley and Sons
- Year
- 2010
- Tongue
- English
- Weight
- 247 KB
- Volume
- 35
- Category
- Article
- ISSN
- 0363-9061
- DOI
- 10.1002/nag.957
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Multivariate analysis procedures and a neural network methodology are used to predict mean particle size resulting from rock blast fragmentation. A blast data base developed in a previous study is used in the current study. The data base consists of blast design parameters, explosive parameters, mod
The aim of the study reported here was to develop a method for predicting human clearance that can be applied to various kinds of drugs using clearance values for rats and dogs and some molecular structural parameters. The clearance data for rats, dogs, and humans of 68 drugs were obtained from lite
Physical, chemical and sensory quality parameters were determined for 115 cod (Gadus morhua) samples stored under varying frozen storage conditions. Five di β erent process parameters (period of frozen storage, frozen storage temperature, place of catch, season for catching and state of rigor) were v