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NCHRP Report 651: LRFD Design and Construction of Shallow Foundations for Highway Bridge Structures (2010)
National Cooperative Highway Research Program (NCHRP)

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Paikowsky, Samuel G, Canniff, Mary C, Lesny, Kerstin, Kisse, Aloys, Amatya, Shailendra, Muganga, Robert, Transportation Research Board. "4.8 In-Depth Re-Examination of the Uncertainty in Bearing Capacity of Footings in/on Granular Soils Under Inclined-Centric Loading." NCHRP Report 651: LRFD Design and Construction of Shallow Foundations for Highway Bridge Structures. Washington, DC: The National Academies Press, 2010.

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Page
121
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Page
121
Front Matter (R1-R9)
Summary (1-2)
1.2 Engineering Design Methodologies (3-3)
1.3 Load and Resistance Factor Design (4-9)
1.4 Format for Design Factor Development (10-14)
1.5 Bearing Capacity of Shallow Foundations (15-23)
1.6 An Alternative Approach and Method of Analysis for Limit State Design of Shallow Foundations (24-32)
1.7 Bearing Capacity of Shallow Foundations on Rock (33-39)
1.8 Rock Classification and Properties (40-51)
2.2 Methodology (52-55)
2.3 Execution and Presentation (56-56)
3.1 Design and Construction State of Practice (57-60)
3.2 Assembled Databases (61-65)
3.3 Determination of the Measured Strength Limit State for Foundations Under Vertical-Centric Loading (66-68)
3.4 Determination of the Calculated Strength Limit States for the Case Histories (Foundations on Soils) (69-72)
3.5 Uncertainty in the Bearing Capacity of Footings in/on Granular Soils Subjected to Vertical-Centric Loading (73-75)
3.6 Uncertainty in the Bearing Capacity of Footings in/on Granular Soils Subjected to Vertical-Eccentric, Inclined-Centric, and Inclined-Eccentric Loading (76-81)
3.7 Loading Direction Effect for Inclined-Eccentric Loading (82-84)
3.8 Uncertainty in the Bearing Capacity of Footings in/on Rock (85-91)
3.9 Uncertainties in the Friction Along the Soil-Structure Interface (92-99)
4.2 Uncertainty in Vertical and Lateral Loading (100-103)
4.3 Calibration Methodology (104-106)
4.4 Examination of the Factor N as a Source of Uncertainty in Bearing Capacity Analysis (107-109)
4.6 In-Depth Re-Examination of the Uncertainty in Bearing Capacity of Footings in/on Granular Soils Under Vertical-Centric Loading (110-115)
4.7 In-Depth Re-Examination of the Uncertainty in Bearing Capacity of Footings in/on Granular Soils Under Vertical-Eccentric Loading (116-120)
4.8 In-Depth Re-Examination of the Uncertainty in Bearing Capacity of Footings in/on Granular Soils Under Inclined-Centric Loading (121-122)
4.9 In-Depth Re-Examination of the Uncertainty in Bearing Capacity of Footings in/on Granular Soils Under Inclined-Eccentric Loading (123-123)
4.11 Goodman's (1989) Semi-Empirical Bearing Capacity Method for Footings in/on Rock (124-125)
4.12 Carter and Kulhawy's (1988) Semi-Empirical Bearing Capacity Method for Footings in/on Rock (126-126)
4.14 Sliding Friction Resistance (127-129)
5.3 Examples Summary (130-131)
References (132-138)
Unpublished Material (139-139)
Abbreviations used without definitions in TRB publications (140-140)

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OCR for page 121
121 3. The independence of the calculated effective foundation cal, when compared to the case of footings under vertical- size (B) from the magnitude of the eccentricity and the centric loadings. Figure 110 examines the variations in the aforementioned recommendations/observations provide bias versus the angle of load inclination (to the vertical), a solution for the design problems presented by various according to footing sizes. The scatter shows that there is DOTs (see Section 3.1.7), in which the eccentricity is no clear trend of the bias associated with either the load unknown at the early design stage. The solution justifies inclination angle or the footing size. All the larger footings the calculated foundation size during early design to be (B 1.65 ft) were tested under inclined loads with = 0° referred to as the effective foundation that can then be (inclination along the footing length, see Figure 17), while modified by twice the eccentricity at the final design stage. the smaller footings were subjected to inclined loads with 4. In light of the presented material, there is no clear evi- = 90° (inclination along the footing width). Although it dence allowing an increase in the foundation eccentricity appears that the bias increases with an increase in the load ratio for permanent loading beyond e/B = 1/6. inclination for = 0° while for = 90° the bias decreases 5. For combined loading (permanent and variable), an argu- with an increase in the inclination angle, it is difficult to ment can be made that the eccentricity ratio can be isolate the effect of the footing size, except in the vicinity of increased to e/B = 1/3 for which half of the foundation is load inclination of 10°. For the tests with inclination angles under "tension" conditions. Some performance-based around 10° carried out on different footing sizes, it can be design codes (e.g., DIN 1054) allow that limit. As no observed that the orientation switched between = 0° and clear data exists to support such an increase, it is recom- 90° has no effect on the bias, which suggests that no corre- mended that until further research is carried out in the lation exists with the orientation of the load. This obser- area, the eccentricity of the combined loading will be vation should be qualified, however, by the fact that the limited to e/B 1/4, as allowed in the AASHTO standard dataset for loading orientations between 0° and 90° is not specifications (4.4.8) or recommended in Section 8.4.3.1 sufficiently large to make a general statement. The resis- of FHWA-NHI-06-089 Soils and Foundation Manual. tance factors can thus be further examined in relation to the (FHWA, 2006). soil's friction angle. The total number of data points available for inclined- 4.8 In-Depth Re-Examination centric loading is 39 (bias mean = 1.43 and COV = 0.295), of the Uncertainty in Bearing while the soil friction angles ranged from 46 (±0.5°) to 38 Capacity of Footings in/on (±0.5°). As a result, the identification of outliers based on the Granular Soils Under data subset for each f (±0.5°) may not be practical because of Inclined-Centric Loading the small data subsets. The standard normal quantiles of the data and those predicted by the developed normal and log- 4.8.1 Examination of the Bias for normal distributions are presented in Figure 111. A visual Controlling Parameters observation clearly shows that the data fits the normal dis- In the case of footings under inclined-centric loadings, an tribution, while for the data to follow the lognormal distri- additional factor involved is the load inclination to the verti- bution, some outliers in the lower tail region (especially 2.5 2 Inclined-centric loading 1.5 (Total n = 39) B 4 in (0.1m); = 90° Bias, B = 1.65 ft (0.5m); = 0° 1 B = 3.3 ft (1.0m); = 0° 0.5 0 0 5 10 15 20 25 30 Load inclination to the vertical (deg) Figure 110. Bias versus load inclination for footings under inclined- centric loading.

OCR for page 122
122 3 3.0 = 1.43 Mean bias, BC 1 S.D. COV = 0.295 (x) no. of cases in each interval 2 2.5 = 1.25 + 0.0041 Standard normal quantile BC f 95% confidence interval 1 (6) (10) 2.0 0 (3) (4) Bias 1.5 -1 (1) Inclined-centric loading Total data (n = 39) 1.0 -2 Normal distribution Lognormal distribution (4) (11) 0.5 -3 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 n = 39 Bias 0.0 Figure 111. Standard normal quantile of 30 32 34 36 38 40 42 44 46 Friction angle f (deg) bias data for all data for inclined-centric loading and predicted quantiles of theoretical Figure 112. Variation of the bias in bearing resistance distributions. versus soil friction angle for cases under inclined- centric loadings. with biases of less than 1.0) need to be removed. However, lognormal distribution has been assumed to be followed by bias gradually increases with an increase in the soil friction the resistance bias without removing the outliers because angle. The resistance factor is calibrated using the mean the lower tail region (where the resistance bias is less than obtained by the best fit line. 1.0) is a critical region for determination of the resistance factors as it is associated with the area of concern in which the loading may exceed the resistance. It should be noted 4.8.2 The Statistics of the Bias as a that in such a case, the use of a lognormal distribution Function of the Soil's Internal would result in a more conservative resistance factor eval- Friction Angle and Resulting uation than otherwise. Other practices, such as "fitting" the Resistance Factors distribution to the tail (ignoring the bulk of the data), The statistics of the bearing resistance bias for the cases should be discouraged and are not perceived as mathemat- under inclined-centric loadings are presented in Table 62 for ically or otherwise justifiable. subsets of each f (±0.5°), while the best fit line obtained from Further examination of the variation of bias with the mag- the regression analysis of the biases available for 38° < 46° nitude of the soil's friction angle is presented in Figure 112 for in Figure 112, is provided by Equation 124. cases under inclined-centric loading (each error bar repre- sents 1 standard deviation). The best fit line suggests that the = 1.25 + 0.0041 f (124) Table 62. Statistics of bearing resistance bias and the resistance factors corresponding to soil friction angles in controlled soil conditions for inclined-centric loading. Friction angle f Bias Resistance factor ( T = 3) n ( 0.5 deg) Mean COV MCS Preliminary 46 10 1.81 0.104 1.555 1.00 45 11 1.08 0.376 0.442 0.45 44 4 1.17 0.347 0.520 0.50 43 4 1.43 0.166 1.055 1.00 40 6 1.64 0.217 1.050 1.00 39 3 1.42 0.151 1.088 1.00 38 1 1.14 -- -- -- 43 to 46 29 1.39 0.322 0.665 0.65 all angles 39 1.43 0.295 0.737 0.70