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settlement_of_shallow_foundations_on_granular_soils (Lutenegger ang DeGroot)

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The reliability of settlement estimates for shallow foundations on granular soils has also

received considerable attention and has been discussed by Schultze and Sievering (1977); Tan and

Duncan (1991); Nova and Montrasio (1991a, 1991b); Cherubini and Greco (1991); and Berardi and

Lancellotta (1994).

Investigations of the settlement behavior of bridge abutments and piers resting on granular

soils, which is the primary focus of this project, have also been performed by a number of

researchers. Table 2.1 summarizes previous reported studies involving settlement of bridges, piers

and abutments on granular soils.

Most of the available methods for predicting the settlement of shallow foundations on

granular soils rely on the results of in situ tests. The results of the tests are either used: (1) to

estimate an elastic modulus of the soil which is used in an elastic analysis; (2) directly to estimate

settlement using an empirical correlation; or (3) to estimate some other soil property, such as relative

density, and then an estimate of settlement is made.

A review of previous comparisons made between predicted and observed settlement of

shallow footings in sands or sands and gravels reveals that no single method works better than any

other method in all cases. Some methods appear to work better than others and it appears that more

recent methods are promising. This may be in part related to the fact that our understanding of soil

behavior has increased but may also be the result of careful consideration of all of the factors that

may influence performance of an individual foundation.

The majority of available methods for estimating settlement assume a linear response

between load and deformation of granular material (i.e. a constant modulus). Additionally, there

has been little effort to relate the settlement or relative displacement to the kYla of a load; i.e. -

relative to an ultimate or failure load. This appears to be the primary deficiency in existing

methods.

3

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