A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Numerical statistics in engineering geology
Abstract An overview is presented of some statistical procedures selected from the rapidly-emerging field of numerical mathematics. Taxonomy is used to obtain an approximate categorisation of information, and then a more detailed quantitative classification is achieved by factor analysis. In addition, a pattern-recognition algorithm is described to facilitate automatic classification. Monte Carlo simulation is employed to establish the probability distribution of the bearing capacity of a pile, and extensions of this concept incorporating variance reduction, modelling, posterior knowledge, and finally optimization procedures are indicated. Methods for analyzing settlement and other time-dependent phenomena are proposed by invoking experimental design and regression techniques. Vast areas of potential application of statistical methods exist in engineering geology because natural phenomena occur with such myriads of variation that a stochastic rather than a more classical deterministic system definition is more realistic.
Numerical statistics in engineering geology
Abstract An overview is presented of some statistical procedures selected from the rapidly-emerging field of numerical mathematics. Taxonomy is used to obtain an approximate categorisation of information, and then a more detailed quantitative classification is achieved by factor analysis. In addition, a pattern-recognition algorithm is described to facilitate automatic classification. Monte Carlo simulation is employed to establish the probability distribution of the bearing capacity of a pile, and extensions of this concept incorporating variance reduction, modelling, posterior knowledge, and finally optimization procedures are indicated. Methods for analyzing settlement and other time-dependent phenomena are proposed by invoking experimental design and regression techniques. Vast areas of potential application of statistical methods exist in engineering geology because natural phenomena occur with such myriads of variation that a stochastic rather than a more classical deterministic system definition is more realistic.
Numerical statistics in engineering geology
Muspratt, M.A. (author)
Engineering Geology ; 6 ; 67-78
1971-11-05
12 pages
Article (Journal)
Electronic Resource
English
| TIBKAT | 2007
| Elsevier | 1997
| UB Braunschweig | 1993