The paper describes methods whereby probability and decision theory can be used to optimize the cost of friction pile foundations in soft cohesive soils. Appropriate pprobability distributions, substantiated insofar as possible by available data, are employed in conjunction with conventional deterministic relationships to compute the pile length required for a given group configuration, and a cumulative probability distribution for pile length is obtained by use of the Monte Carlo technique. The foundation costs is minimized on the basis of a cost equation involving the cost per unit length of in-place, cost of the pile cap, and cost associated with the probability of a foundation failure. The effects of variations in the approximations for individual parameters are evaluated. Refs.
|Original language||English (US)|
|Number of pages||22|
|Journal||[No source information available]|
|State||Published - Jan 1 1975|
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