AISCAISC 360-22
Formulas

Formulas: Design for Strength Using Load and Resistance Factor Design (LRFD)

PDF page 381 · AISC 360-22

Equation C-B3-1

The probability that RR is less than QQ depends on the distributions of the many variables (material, loads, etc.) that determine resistance and total load effect. Often, only the means and the standard deviations or coefficients of variation of the variables involved in the determination of RR and QQ can be estimated. However, this information is sufficient to build an approximate design provision that is independent of the knowledge of these distributions, by stipulating the following design condition:

βVR2+VQ2ln(Rm/Qm)\beta \sqrt{V_{R}^{2}+V_{Q}^{2}} \leq \ln \left(R_{m} / Q_{m}\right)

where

Rm= mean value of the resistance, RQm= mean value of the load effect, Q\begin{aligned} R_{m} & =\text { mean value of the resistance, } R \\ Q_{m} & =\text { mean value of the load effect, } Q\end{aligned}

Equation C-B3-2

β=ln(Rm/Qm)VR2+VQ2\beta=\frac{\ln \left(R_{m} / Q_{m}\right)}{\sqrt{V_{R}^{2}+V_{Q}^{2}}}

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