Abstract: The sources of uncertainty,variability and bias in the performance of the Standard Penetration
Test were identified using an extensive literature review and were classified in a manner that should assist the
practice in recognizing and reducing them. These uncertainties and additional uncertainties introduced in the
design process are then incorporated in a reliability-based evaluation of the design of shallow foundations. The
results of the reliability analyses show that the factor of safety approach can provide an impression of degree of
conservatism that is often unrealistic. At times,foundations with smaller factors of safety have smaller
probabilities of failure than foundations with higher factors of safety.The reliability-based approach provides
rational design criteria,accounting for all key sources of uncertainty in the foundation engineering process, and
thus should be the basis of design.
Reliability of Shallow Foundation Design usin the Standard
Pentration Test
Zekkos, D. P., Bray, J.D., Der Kiureghian, A.
Copyright © 2004 - 2005 Dimitris Zekkos. All rights reserved.
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Reference: Zekkos, D.P., Bray, J.D., Der Kiureghian, A. (2004), “Reliability of shallow foundation design using the
standard penetration test”, 2nd International Conference on Site Characterization Proceedings, 19-22/9/2004, Porto,
Portugal, Vol.2, pp. 1575-1582.
An extensive literature review was made to evaluate sources of uncertainty in the performance of the SPT,
based on the previous work of many researchers (Kulhawy and Mayne (1990), Schmertmann (1975), Barton
(1990), ASTM D6066-96, Youd et al. (2001), Kulhawy and Trautmann (1996)).
Table 1 summarizes a total of 27 sources of uncertainty and bias, classified in five categories. This classification
aims to assist the practicing engineer in taking the necessary measures to minimize the uncertainties in the
performance of the test:
- Category A includes sources that depend on the type of soil, with emphasis in sources related to granular
materials since the use of the SPT is generally not recommended for cohesive soils.
- Category B lists sources of uncertainty due to the presence of water.
- Category C includes reducible sources re-lated to the equipment and its maintenance.
- Category D includes sources that are reducible if the test procedure is performed care-fully.
- Category E lists irreducible sources in the investigation procedure.
Download Table 1.

Findings-Conclusions
- The SPT can provide useful and reliable data with good maintenance of the equipment and quality control
in the performance of the test. It can also provide very unreliable data. Efforts should focus on making the
test more reliable.
- The classification of uncertainties shown in the paper aims to provide a framework for the practicing
engineer to recognize the uncertainties of the SPT and take measures to minimize them. There are not
sufficient data to adequately quantify most of the sources of uncertainty.
- Design philosophy for the bearing capacity criterion shows inconsistencies that affect the system reliability
for small foundation widths. The design philosophy should not only take into consideration the theoretical
basis of the mathematical model but also consider the variability and the uncertainties involved in the
data that are used as input to this model i.e. the quality of the data. Ignoring the uncertainty in the input
can result in unconservative design or at best at irrational design procedure.
- The current practice in shallow foundation design using factors of safety provides the engineer with a
false impression of a certain degree of safety in the design. Foundations designed with a factor of safety
of 2 may be safer than foundations designed with a factor of safety of 3 in different ground conditions.
The reliability-based approach provides a more accurate assessment of the degree of conservatism and
rational design criteria. The profession should specify the socially and economically acceptable
probabilities of failure in the design.
Figure: Note that for the same factor of
safety you get different Probability of
Failures, depending on the type of soil.
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