# Do Simplistic Methods of Foundation Design Produce Reliable Foundations?

*by*Senro Kuraoka, Univ of Wisconsin-Madison, Madison, United States,

Peter J. Bosscher, Univ of Wisconsin-Madison, Madison, United States,

**Document Type:**Proceeding Paper

**Part of:**Geotechnical Engineering Congress—1991

**Abstract:**

Many foundations today are designed using deterministic (single value) analysis techniques which do not reflect the natural variability of soil properties. If the standard deviation and mean of the soil properties (internal friction angle and cohesion) are available in designing a foundation with a classical bearing capacity equation, statistical analyses may be used to obtain standard deviation, mean, and the probability density distribution (PDD) of the bearing capacity. This quantitative information may be useful in determining an appropriate safety factor. The PDD is especially helpful to describe the potential error in the allowed bearing capacity. This paper shows typical PDD's of the Meyerhof bearing capacity equation. Cases are noted where the PDD significantly deviates from the normal distribution. The allowable bearing capacity, q_{99.5}, is computed such that the probability of random bearing capacity being less than q_{99.5} is 0.5%. Safety factors(SF) are back calculated using q_{ult}/q_{99.5}, where q_{ult} is computed with the mean soil properties. Although the analyses do not account for the stochastic variability and the errors due to the bearing capacity equation itself, these q_{99.5} and the back calculated SF are useful information in minimizing risk in foundation design.

**Subject Headings:**Foundation design | Risk management | Stochastic processes | Safety | Failure analysis | Computer analysis | Soil analysis | Computer aided design

**Services:**Buy this book/Buy this article

Return to search