Research Article | Open Access

Volume 2017 |Article ID 3043571 | https://doi.org/10.1155/2017/3043571

Yanlong Li, Wangtao Fan, Xuguang Chen, Yunhe Liu, Bo Chen, "Safety Criteria and Standards for Bearing Capacity of Foundation", Mathematical Problems in Engineering, vol. 2017, Article ID 3043571, 8 pages, 2017. https://doi.org/10.1155/2017/3043571

Safety Criteria and Standards for Bearing Capacity of Foundation

Revised02 Nov 2017
Accepted21 Nov 2017
Published18 Dec 2017

Abstract

This paper focuses on the evaluation standards of factor of safety for foundation stability analysis. The problem of foundation stability is analyzed via the methods of risk analysis of engineering structures and reliability-based design, and the factor of safety for foundation stability is determined by using bearing capacity safety-factor method (BSFM) and strength safety-factor method (SSFM). Based on a typical example, the admissible factors of safety were calibrated with a target reliability index specified in relevant standards. Two safety criteria and their standards of bearing capacity of foundation for these two methods (BSFM and SSFM) were established. The universality of the safety criteria and their standards for foundation reliability was verified based on the concept of the ratio of safety margin (RSM).

1. Introduction

The stability of foundation is an important factor for foundation design [1, 2]. In fact, foundation stability is normally evaluated and analyzed via the factor of safety of bearing capacity. Several influence factors for the problem of foundation stability analysis are studied by many researchers . The factor of safety for a foundation can be defined as the ratio between the ultimate bearing capacity and the actual load on the foundation soil. This method relies on the engineering experience and cannot reflect the failure process of the foundation soil mass . However, the strength and safety margin of slopes can be reflected by the calculation method of factor of safety in slope stability analysis and it also has the physical significance. The calculation method and the standard of factor of safety are two important issues for the problems of slope stability analysis and foundation design. Therefore, the standards for factor of safety are the key issue for the foundation and slope stability analysis. These problems can be analyzed via the method of risk analysis for engineering structures and the method of reliability-based design. The problem of uncertain slope stability analysis was the first application of reliability-based method in geotechnical engineering . Afterwards, the method of reliability-based analysis was used to analyze the problem of foundation bearing capacity. For example, based on the limit analysis and reliability-based analysis method, Massih analyzed the bearing capacity of strip footings by combining the foundation bearing capacity . Moreover, the method of reliability-based analysis can be combined with numerical method to calculate and analyze the problem of slope stability and foundation bearing capacity. For example, the bearing capacity of a strip footing on undrained clay/weightless soil is analyzed by Griffiths et al. using the reliability-based method and finite-element analysis [9, 10]. The sensitivity of factor of safety for foundation problem is analyzed by Griffiths using strength reduction method and load increase method [11, 12]. In this study, the admissible range of foundation reliability indexes is investigated through a typical example, and the evaluation standards of the factor of safety are established via the bearing capacity safety-factor method (BSFM) and strength safety-factor method (SSFM). The concept of a “ratio of safety margin (RSM)” is used to verify the universality of these standardized values, and the feasibility of RSM was evaluated based on an engineering case study.

2. Foundation Bearing Capacity Analysis

2.1. Factor of Safety Method for Foundation Bearing Capacity Analysis

The factor of safety for the problem of foundation stability analysis can be determined via the conventional methods (e.g., limit equilibrium method) and strength reduction method.

2.1.1. Factor of Safety Criteria Based on BSFM

In conventional factor of safety methods, the factor of safety can be defined as the ratio of the ultimate load to the actual load; that is,where is the factor of safety, is the actual load on the foundation, and is the ultimate bearing capacity of the foundation. The value of is calculated by using the formula for the bearing capacity of foundation proposed by Terzaghi :where , , , and are the cohesion, internal friction angle, soil unit weight of footing embedment, and unit weight of the soil beneath the footing, respectively; and , , and are the foundation bearing capacity factors.

Meyerhof proposed the formulas of three bearing capacity factors (, , and ) for rigid rough and strip footings . The formulas for bearing capacity factor developed by Meyerhof and Hansen are also widely used . The formulas proposed by Terzaghi, Meyerhof, and Hansen are semiempirical expressions, but the bearing capacity formula of Vesić is more brief and efficient. Thus, Vesić’s bearing capacity formula is used to calculate the factor of safety of foundation.

2.1.2. Factor of Safety Criteria Based on SSFM

Foundation can be considered as a slope with zero gradient, and the factor of safety can be calculated using the method of slope stability analysis. Based on this assumption, the corresponding strength indexes are reduced by the reciprocal of as follows:

Equations (6) are substituted in (2) to yieldwhere the subscript represents the corresponding strength index after reduction.

These two methods (BSFM and SSFM) have different factor of safety definitions, and both of them are used in the deterministic analysis method for factor of safety calculation. The sliding stability analysis of a foundation also can be performed via the uncertain analysis method with the reliability index. Thus, the reliability index of the factor of safety for foundations will be used to analyze the problem of foundation stability in this study.

2.2. Reliability Analysis of Bearing Capacity of Foundation

Based on the limit equilibrium method, the equation for the limit state can be defined as followswhere is a group of independent random variables; in this paper, they are the strength parameters and . The calculation formula of the reliability index is as follows:where and are the mean value and the standard deviation of the factor of safety. The relationship between the factor of safety and reliability index is described by (9), which has been widely used in relevant standards [18, 19]. The reliability index is calculated by the first-order second-moment method, and a standard dimensionless variable is introduced:

The reliability index and design points in a plane coordinate space are shown in Figure 1. The origin point represents the mean value, which is also the most possible value of the random variable. Point represents the most possible point in a failure state, that is, a design point in the standard space. The length of represents the reliability index , and the physical significance of is the shortest path that a random variable will travel from the most possible value to the failure surface.

The function can be expanded into a Taylor series at point . Only constant terms and linear terms are reserved to linearize the function. Next, the mean value and standard deviation of the function at point are calculated; the reliability index is calculated by the following equation:

The unified design standard for hydraulic engineering in China  specifies admissible reliability indexes in hydraulic engineering structures with various safety grades, as shown in Table 1. In this table, type I is a nonsudden failure, and type II is a sudden failure that shows no clear signal before failure but is virtually impossible to remediate or repair afterwards. The failure of a hydraulic engineering structure can be treated as type II failure.

 Grade I Grade II Grade III Type I failure 3.7 3.2 2.7 Type II failure 4.2 3.7 3.2

In hydraulic engineering, the consequence of a foundation failure is less serious than that of the significant facilities such as dams. Therefore, the admissible reliability index is set to 3.7. An important task in reliability analysis is to determine the variation coefficients for the strength indexes. Table 2 lists the variation coefficients of the cohesion and internal friction angle .

 Variation coefficient Meyerhof  Hansen  Vesić  Orr  (for ) 0.16–0.47 0.14–0.25 0.10–0.35 0.20–0.40 (for ) 0.12–0.37 0.068–0.097 0.02–0.13 0.05–0.15

In this study, an example for calculations and analyses is shown in Figure 2. The basic foundation parameters are as follows: the foundation width is 10 m, the burial depth is 1.5 m, the unit weight is 9 kN/m3, and the soil unit weight is 19 kN/m3. The average soil cohesion is 20 kPa, is 0.46, and the actual load is 600 kN/m2. The strength coefficients are set to design values, which are normally 0.2 quantile design values . The strength parameters are calculated by (12), when the deterministic factor of safety of the foundation is calculated.where represents the soil strength index (cohesion and internal friction angle ); the subscript represents the standard value of each strength index; and and are the average and standard deviation of , respectively.

Based on the two different definitions of factor of safety represented by (1) and (7), the reliability was analyzed, and the factor of safety was calculated by using the first-order second-moment method. The results are presented in Table 3. The values of factor of safety calculated by the two methods (BSFM and SSFM) with different definitions of the factor of safety are significantly different. However, the reliability indexes are very similar, because the two definitions involve the use of the same limit state equation.

 Item Strength parameters Factors of safety Mean value of factors of safety Standard deviation of factors of safety Reliability index Design point values Cohesion (kPa) Internal friction angle (°) Cohesion (kPa) Internal friction angle (°) Symbol or or BSFM 16.63 24.18 2.3 3.15 0.58 3.69 15.974 0.297 SSFM 12.23 17.76 1.35 1.50 0.14 3.69 15.974 0.297
Note. The subscript denotes the parameters after strength reduction of the safety factor (corresponding to SSFM).

3. Comparison of Foundation Safety Criteria

The standards for factor of safety of foundations and slopes have slight differences between different countries. Tables 4 and 5 summarize some of these standards.

 Standard Admissible factor of safety Note Code for Design of Building Foundations (GB50007-2011)  2.0–3.0 Engineering and Design-Bearing Capacity of Soils, U.S. Army Corps of Engineers  2.0–4.0 Factor for roadway or railway bridge foundations is 4.0
 Standard Admissible factor(s) of safety Note Design Code for Slopes in Hydraulic Engineering (SL386-2007)  1.3–1.25, 1.25–1.2, 1.2–1.15, 1.15–1.1 Normal condition, correspond to slope grades of 1–4, respectively Canadian Foundation Engineering Manual  1.3–1.5 Following values suggested by Terzaghi and Peck Guide to Slope Maintenance, Hong Kong  1.2–1.4 No

The comparison of factor of safety for foundation and slope in different countries listed in Tables 4 and 5 indicates that the factor of safety for BSFM which is equal to 2.3 is close to the admissible factor of safety in foundation standards used in China and the United States . In addition, compared with the failure of slopes, the foundation failure has more severe consequences, and it is more reasonable to set the admissible factor of safety to the upper value in Table 5. Therefore, the factor of safety for SSFM and slope stability analyses which is equal to 1.35 is close to the admissible values in standards used in China and abroad. [19, 2226].

4. Universality Verification

4.1. Basic Principles

In the example (target reliability index of 3.7) shown in Figure 2, the values of factor of safety (2.3 and 1.35) which are calculated by BSFM and SSFM, respectively, are defined as the admissible value of the factor of safety for a foundation. If the input parameters in this specific example are changed slightly, that is, the foundation width varies between 8 and 12 m, then the corresponding value of and the factor of safety also can be calculated via the BSFM and SSFM (shown in Table 3).

The calculated reliability index cannot be 3.7, and the factor of safety calculated by using BSFM and SSFM cannot be 2.3 and 1.35, if the foundation width is not equal to 10 m. Then, the question is whether the factor of safety and reliability indexes corresponding to different foundation widths reflect the same level of risk control. Chen et al.  studied the criteria for analyzing the resistance to sliding of a rockfill dam and a gravity dam. Chen et al. proposed the concept of a RSM and described the relationship between the factor of safety and reliability index. For a factor of safety , the corresponding RSM is given by the following equation:

The reliability analysis requires that the values ofβ be greater than the admissible value :

The area of the shaded region (Figure 3) is lower than the admissible value. The structural failure probability corresponds to and is not appropriate for formula , because the relationship of β with has physical significance.

If all safety factors subtract a value , then a new sample of safety factors is produced which means the Ordinate moved a of distance to the right. If the value of is assigned like this, it means that the shadow area on the left side of -axis will exactly equal in the new coordinate system.

In the new sample of safety factors, the mean value is , and the standard deviation does not change. So, the reliability index should bewhere .

When the structure is in critical state, (17) can be obtained by deterministic and reliability analysis.

Substituting (16) and (17) into (18) gives

Comparing the two equations, in (19), the RSM in reliability analysis is defined as follows:

Admissible factor of safety for the slope stability of a rockfill dam and resistance to sliding of a gravity dam have been verified by Chen et al. . The results indicate that, under different target operation conditions and methods, the admissible value of factor of safety is quite different, but the RSM always follows . The RSM and calculated based on various foundation widths are listed in Table 6, and corresponding linear regressions are shown in Figure 4, and the criteria of are satisfied.

 Deterministic model Reliability analysis Symbol Formula (9) (1) (1) (13) (11) (19) BSFM, foundation width (m) 8 2.73 0.53 1.99 0.865 3.28 0.909 9 2.94 0.55 2.14 0.932 3.49 0.947 10 3.15 0.58 2.30 0.999 3.69 0.999 11 3.36 0.61 2.45 1.065 3.86 1.061 12 3.57 0.64 2.60 1.132 4.03 1.132 SSFM, foundation width (m) 8 1.42 0.13 1.29 0.946 3.28 0.892 9 1.46 0.13 1.33 0.974 3.50 0.948 10 1.50 0.14 1.35 1.002 3.69 0.999 11 1.54 0.14 1.40 1.029 3.87 1.050 12 1.58 0.14 1.43 1.055 4.03 1.098
4.2. Verification of Parameter Universality

The BSFM and SSFM are used to calculate the factor of safety and RSM. The ranges of the parameters are as follows. (1) The unit weight of the soil was varied from 17 kN/m3 to 21.5 kN/m3 at increments of 0.5 kN/m3. (2) The internal friction angleφof the fill was varied from 0.385 to 0.610 at increments of 0.025. (3) The cohesion c was varied from 15 kPa to 24 kPa at increments of 1.0 kPa. Regression curves for corresponding RSM and are shown in Figure 5. The RSM resulting from the reliability of SSFM is correlated and comparable. However, the correlations of RSM for BSFM are not sufficiently good, especially for the cases of soil unit weight and soil cohesion. The causes of this phenomenon will be investigated in the immediate future.

5. Case Study

A foundation from a project has been taken as the engineering case to investigate the feasibility of admissible criteria of the factors of safety . The parameters and dimensions of the footing are shown in Figure 6. The unit weight of silty clay is 18 kN/m3, the unit weight of clay is 19.8 kN/m3, the cohesion is 15 kPa, and the internal friction angle is 25°.

The value of factor of safety for this foundation yield by BSFM (using (1)) follows . The foundation will satisfy the stability requirement, if the admissible stability factor of safety is 2.3 (defined in Section 3), and the RSM is 1.92. The value of factor of safety for this foundation yield by SSFM (using (7)) follows . The foundation will satisfy the stability requirement, if the admissible stability factor of safety is 1.35 (defined in Section 3), and the RSM is 1.89. The values of standard deviation of the safety factor and the reliability index are both yielded by RSM (using (19)). If the admissible reliability index is 3.7 (defined in Section 2), the RSM will be 1.90.

6. Conclusions

In this study, the admissible factor of safety was calibrated based primarily on a target reliability index specified in relevant standards. The following conclusions were developed.

(1) Two safety criteria and their standards of bearing capacity of foundation for two methods (BSFM and SSFM) were established. The corresponding factors of safety yield by BSFM and SSFM are 2.3 and 1.35, respectively, if the target reliability index is 3.7 and the variation coefficients for the soil cohesion and internal friction angle are 0.2 and 0.1. The factor of safety of 2.3 satisfies the admissible factor of safety requirement which is stated in the Code of Design of Building Foundation in China, and the factor of safety of 1.35 slightly exceeded the admissible factor of safety of 1.3 for conventional slopes.

(2) A typical example with different foundation width, strength index, and load was analyzed for discussing the universality of the safety criteria and their standards. The universality of the safety criteria and their standards for foundation reliability was verified using RSM, and the results show that is equivalent to under all conditions. Thus, these calibrations have practical value in engineering application.

Conflicts of Interest

The authors declare that they have no conflicts of interest.

Acknowledgments

This research is financially supported by the National Science Fund for Outstanding Young Scholars (no. 5172200857), the National Natural Science Foundation of China (no. 51579207), and the innovative research team of Institute of Water Resources and Hydro-Electric Engineering, Xi’an University of Technology (2016ZZKT-14).

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