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Bearing Capacity Factor Dependent on Surcharge for Strip Footing Calculator

Bearing Capacity Factor Formula:

\[ N_q = \frac{q_{fc} - (0.5 \times \gamma \times B \times N_\gamma)}{\sigma_s} \]

kPa
kN/m³
m
kPa

1. What is Bearing Capacity Factor Dependent on Surcharge?

Definition: This is a dimensionless factor (Nq) that quantifies the contribution of surcharge to the ultimate bearing capacity of a strip footing.

Purpose: It's used in geotechnical engineering to calculate the bearing capacity of shallow foundations.

2. How Does the Calculator Work?

The calculator uses the formula:

\[ N_q = \frac{q_{fc} - (0.5 \times \gamma \times B \times N_\gamma)}{\sigma_s} \]

Where:

  • \( N_q \) — Bearing capacity factor dependent on surcharge
  • \( q_{fc} \) — Ultimate bearing capacity in soil (kPa)
  • \( \gamma \) — Unit weight of soil (kN/m³)
  • \( B \) — Width of footing (m)
  • \( N_\gamma \) — Bearing capacity factor dependent on unit weight
  • \( \sigma_s \) — Effective surcharge (kPa)

Explanation: The formula calculates Nq by isolating it from the general bearing capacity equation.

3. Importance of Nq Calculation

Details: Accurate calculation of Nq is crucial for designing safe and economical foundations that won't fail under load.

4. Using the Calculator

Tips: Enter all required parameters with appropriate units. The ±5% indicates typical accuracy ranges for these parameters in practice.

5. Frequently Asked Questions (FAQ)

Q1: What is a typical range for Nq?
A: For most soils, Nq ranges from 1 to 100, depending on soil type and footing depth.

Q2: How does surcharge affect bearing capacity?
A: Greater surcharge increases bearing capacity by providing additional confining pressure.

Q3: When would I need to calculate Nq?
A: When designing strip footings or when back-calculating soil parameters from bearing capacity tests.

Q4: What's the difference between Nq and Nγ?
A: Nq accounts for surcharge effects while Nγ accounts for soil weight effects.

Q5: How accurate is this calculation?
A: Results are typically within ±5% of actual values, assuming accurate input parameters.

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