The finite difference software used in this study is FLAC, which is widely used in engineering mechanics calculations [30]. FLAC software enables the liquefaction phenomenon in sandy soils by analyzing the pore water pressure with the help of UBCsand constitutive model.
2-1- Model specifications and dimensions
Choosing appropriate model dimensions is the first step in the modeling process. In this research, vertical movement under the foundation is equal to 1.75 cm for static loads. As can be seen in Fig. 1, preliminary modeling is performed assuming the dimensions of the soil environment up to twice the width of the building foundation on each side, due to the greater effectiveness of model dimensions in dynamic analysis and to achieve more accuracy in modeling.
The selected model has the dimensions given in Fig. 1: a length of 200 m, a depth of 25 meters of soil, and a depth of 2 m of underground water. There are three distinct layers of soil: a large layer of dense Nevada sand (20 m thick), a layer of river sand (3 m thick) that can be liquefied, and a thin layer of Monterey sand (2 m thick). Here, we use a sand-crumb-rubber mixture of varying thicknesses to alleviate the problem by simulating the soil beneath the foundation [31].
2–2 Structural characteristics
The general shape of the three-story structure with the length of the openings equal to 9 meters and the height of each of the floors is 4 meters, is shown in Fig. 2. Also, the specifications of the wide-wing I-shaped steel sections used are given in Table 1.
Table 1
Characteristics of steel sections used in modeling [32]
Section
|
Section Area (cm2)
|
Inertia moment (cm4)
|
Fy (MPa)
|
Elastic modulus (MPa)
|
W14×257
|
487.7
|
141518.7
|
345
|
2×105
|
W33×118
|
223.9
|
245576.5
|
248
|
2×105
|
W30×116
|
220.6
|
205202.1
|
248
|
2×105
|
W24×68
|
129.7
|
76170.4
|
248
|
2×105
|
Table 2 shows the seismic mass of the structure in each floor. To calculate the specific mass of the beams, the mass of the beam is added together with the loading, but for the columns, only the mass of the column itself is calculated. The foundation of the building is a wide concrete foundation with a thickness of 0.5 meters, which is modeled using the beam element in the software, and the characteristics of reinforced concrete are considered for the characteristics of this element.
Table 2
Seismic mass of the structure (Ohtori et al., 2004)
|
Seismic loading (kg)
|
1st and 2nd Floor
|
9.56×105
|
3rd Floor
|
1.03×106
|
2-3- Contact element requirements
There is an empirical rule that suggests the values of normal stiffness (kn) and shear stiffness (ks) for structural elements equal to 10 times the equivalent stiffness of the adjacent zone. The equivalent stiffness (unit of stress per unit of displacement) for a zone in the vertical direction, according to Eq. (1), is equal to [33]:
$$k=\hbox{max} \left[ {\frac{{\left( {K+\frac{4}{3}G} \right)}}{{\Delta {Z_{min}}}}} \right]$$
1
where K and G are respectively equal to the bulk and shear modulus and ΔZmin is the minimum thickness of the zone adjacent to the interface in the vertical direction. If the stiffness of the materials on both sides of the contact surface is very different, this relationship is used according to the characteristics of softer materials [33]. Due to the large difference in the stiffness of the foundation and soil, the shear stiffness and bulk modulus of Monterey sand have been used to calculate the equivalent stiffness of the contact surface. In the mentioned relationship, the maximum shear modulus should be used, so to calculate the maximum shear modulus (Gmax), Eq. (2) presented by Seed et al. [34] was used.
$${G_{max}}=1000\,{K_2}{\left( {\sigma _{m}^{\prime }} \right)^{0.5}}$$
2
In this regard, \(\sigma _{m}^{\prime }\) is the average effective stress (lb/ft2) and K2 is a coefficient that is different for different grain materials. The value of K2 is selected as 70 based on the experiments of Seed et al. [34] and Kramer's research [35] for dense sand. Also, the value of \(\sigma _{m}^{\prime }\) was calculated according to Eq. (3) that the value of \(\sigma _{y}^{\prime }\) in the middle of the Monterey sand layer was extracted from the software.
$$\sigma _{m}^{\prime }=\frac{{\sigma _{y}^{\prime }+2\left( {1 - \sin \,(\phi )} \right)\sigma _{y}^{\prime }}}{3}$$
3
The final shear and normal stiffness values of the contact element are presented in Table 3. The shear friction angle of the contact surface is also calculated as a coefficient of the internal friction angle of the soil according to the materials that are in contact with each other. The United States Navy Engineering Center suggests a coefficient of 0.45–0.55 for concrete contact with soil [36]. In this research, the coefficient of 0.5 has been chosen and considering that the internal friction angle of Monterey sand is 40 degrees, the shear friction angle of the contact surface has been calculated as 20 degrees. It should be noted that the characteristics of the contact surface are chosen in such a way that it allows the separation and sliding of the foundation on the soil.
Table 3
Contact surface parameters
Parameter
|
Indication
|
Value
|
Normal tensile strength (kPa)
|
Tn
|
1
|
Shear friction angle (˚)
|
Φs
|
20
|
Shear stiffness (N/m/m2)
|
Ks
|
6.5×109
|
Normal stiffness (N/m/m2)
|
Kn
|
6.5×109
|
2-4- Characteristics of the input wave
The modeled structure under the effect of 6 far-field and near-field earthquakes applied to the model floor is selected according to Table 4 and the maximum acceleration of the input wave is scaled to 0.15g. Also, the acceleration response spectrum with 5% damping in far and near field earthquakes is shown in Fig. 3.
Table 4
Characteristics of input waves and earthquake stations
Earthquake
|
Station
|
RJB (km)
|
RRup (km)
|
Vs30 (m/sec)
|
Mw (R)
|
Fault mechanism
|
PGA (g)
|
Near Field
|
Loma Prieta (1989)
|
Los Gatos
|
3.22
|
5.02
|
1070
|
6.93
|
Reverse Oblique
|
0.44
|
Tabas (1978)
|
Tabas
|
1.79
|
2.05
|
767
|
7.35
|
Reverse
|
0.85
|
Chi ـ Chi (1999)
|
TCU ـ 102
|
1.49
|
1.49
|
714
|
7.62
|
Reverse Oblique
|
0.3
|
Far Field
|
Duzce (1999)
|
Lamont
1060
|
25.78
|
25.88
|
782
|
7.14
|
Strike Slip
|
0.025
|
Manjil (1990)
|
Abbar
|
12.55
|
12.55
|
724
|
7.37
|
Strike Slip
|
0.514
|
Northridge ـ 01 (1994)
|
Vasquez Rocks Park
|
23.1
|
23.64
|
997
|
6.69
|
Reverse
|
0.15
|
2-5- UBCSand constitutive model
In this research, we have used the UBCSand model to simulate the mixture of river sand-crumb rubber. This constitutive model is an effective stress plasticity model used in advanced stress-strain analyzes of geotechnical structures and has been developed mainly for granular soils that have the ability to liquefy under seismic loading (such as sands and silty sands with a relative density of less than 80%). The shear and bulk modulus are defined with the help of equations (4) and (5), and it should be noted that homogeneous elastic responses are considered in the UBCsand model [37]:
$${G^e}=K_{G}^{e}.{P_a}.{\left( {\frac{{\sigma ^{\prime}}}{{{P_a}}}} \right)^{ne}}$$
4
G e and Be show the shear modulus and bulk modulus of the elastic state, respectively. \(K_{G}^{e}\), coefficient of elastic shear modulus which depends on the relative density, ne is the variable power of elastic shear modulus between 0.4 and 0.6 (usually 0.5 is chosen), \(\sigma ^{\prime}\) is the average effective stress, \({P_a}\) is the atmospheric pressure and α is the correlation coefficient between the modulus Elastic shear and elastic bulk modulus are in the range of 3.2 to 3.4 and depend on Poisson's ratio. Soils parameters are shown in Table 5 [25]. Soil dilation angle (ψ) and bulk modulus (K) are necessary modeling factors. This study investigate that the dilation angle was nearly equal to zero when the layer of loose sand was considered [31]. For nearly saturated soil conditions (99% saturation), the value of 400 MPa was used for the bulk modulus of water [25]. The mechanical model is assigned using the Mohr-Coulomb model, which takes into account the soil's friction angle and cohesion.
Table 5
Characteristics of soil used in modeling (Dashti and Bray, 2013)
Parameter
|
Symbol (unit)
|
Dense Nevada Sand
|
Loose Nevada Sand
|
Monterey Sand
|
Relative Density
|
Dr (%)
|
90
|
30
|
85
|
Density
|
ρ (kg/m3)
|
1720
|
1580
|
1660
|
Porosity
|
n
|
0.4
|
0.35
|
0.36
|
Modified SPT
|
N1,60
|
24.2
|
2.9
|
36
|
Friction Angle
|
ɸ (0)
|
37.84
|
33.68
|
40
|
Cohesion
|
c (kPa)
|
1
|
1
|
1
|
Passion Ratio
|
ν
|
0.31
|
0.31
|
0.35
|
Shear Modulus
|
G (MPa)
|
11.7
|
8
|
25
|
Permeability
|
Pre and Post earthquake
|
5.63×10− 5
|
1.88×10− 4
|
1.32×10− 3
|
During earthquake
|
1.41×10− 5
|
4.69×10− 5
|
3.31×10− 4
|
Elastic Shear Modulus Coefficient
|
KGe
|
21.7×15×(N1,60)0.333
|
Elastic Shear Modulus Power
|
me
|
0.5
|
Bulk Modulus Coefficient
|
α
|
2(1 + ν) / 3(1–2ν)
|
Elastic Bulk Modulus Coefficient
|
KB
|
α × KGe
|
Elastic, Plastic Bulk Modulus Power
|
ne
|
0.5, 0.4
|
Plastic Bulk Modulus Coefficient
|
KGp
|
KGe ×(N1,60)2 ×0.003×100
|
Limit Friction Angle
|
ɸcs (0)
|
33
|
Maximum Friction Angle
|
ɸpeak (0)
|
ɸcs+ 0.2(N1,60)
|
Failure Ratio
|
Rf
|
0.01×(1-N1,60)
|
2-6- Sand-rubber mixture behavior and modeling
Coarse-grained rubber-sand mixtures were prepared according to ASTM D-2487 [39]. The maximum specific weight according to the ASTM D-4253 standard [39] and the minimum specific weight of sand materials according to the ASTM D-4254 standard are 17.66 and 15.33 kN/m3, respectively, and for crumb rubber materials are 5.21 and 2.88 kN/m3. Figure 4 shows the particle size of rubber and sand prepared for testing [21].
The maximum size of the rubber crumb particles was 2 mm (ASTM,D. 2007) and the steel wires in the tires were completely removed before shredding [40].
Also, the ratio of pore water excess versus the number of loading cycles diagrams with the increase of crumb rubber content from zero to 100% are given in Fig. 5. As can be seen, with the increase in the percentage of rubber particles, the maximum ratio of pore water excess decreases.
The hysteresis curves obtained from the direct cyclic shear test are a benchmark for determining the parameters of the UBCsand model, which is given in Fig. 6. As can be seen, with the increase in the percentage of rubber particles, significant energy consumption has been achieved in the rings.
In this research, seven numerical models with different percentages of sand and crumb rubber were generated and analyzed, as shown in Table 6:
Table 6
Modeling of this research
No
|
Name
|
Modeling
|
1
|
Liquefiable Layer
|
Loose fluid layer of river sand under the foundation
|
2
|
Non ـ Liquefiable Layer
|
Dense sandy soil without loose layer under foundation
|
3
|
RSM10 ـ Down
|
The weight combination of 10% rubber crumb with 90% sand and replacing it with the entire liquefiable layer (5 meters)
|
4
|
RSM30 ـ Top
|
The weight combination of 30% rubber crumb with 70% sand and replacing it up to the top of the liquefiable layer (2 meters)
|
5
|
RSM30 ـ Mid
|
The weight combination of 30% of rubber crumb with 70% of sand and replacing it up to the middle of the liquefiable layer (3.5 meters)
|
6
|
RSM30 ـ Down
|
The weight combination of 30% rubber crumb with 70% sand and replacing it with the entire liquefiable layer (5 meters)
|
7
|
RSM50 ـ Down
|
The weight combination of 50% rubber crumb with 50% sand and replacing it with the entire liquefiable layer (5 meters)
|
The above modeling has been done with the help of UBCsand constitutive model. In the second model, the layer of loose soil with the ability to liquefy is replaced with a layer of non-liquefiable dense sand to compare the results of model number 1 and 2 to check the effect of the existence of a loose layer in the soil. In the third to seventh models, sand-crumb rubber mixture with different percentages and thicknesses was used, which replaced all or part of the loose fluid layer below. The granulation curve of each of the above models is given in Fig. 7.