Material Presets
Paris Law Constants
Fracture Toughness & Stress
Crack Dimensions
Formulas
$\dfrac{da}{dN}= C\,\Delta K^m$
$N_f = \int_{a_0}^{a_c}\!\dfrac{da}{C(\Delta\sigma\sqrt{\pi a})^m}$
Apply Paris Law da/dN = C(ΔK)^m to compute crack growth rate, residual fatigue life, and critical crack size in real time. Adjust material constants C/m, initial crack length, and stress range to compare failure scenarios.
The cornerstone of fatigue crack growth analysis is the Paris-Erdogan Law, often just called Paris Law. It provides a power-law relationship between the crack growth rate and the cyclic stress intensity factor range.
$$ \frac{da}{dN}= C (\Delta K)^m $$Where:
• $da/dN$: Crack growth per cycle (m/cycle or in/cycle)
• $\Delta K$: Range of the stress intensity factor in one cycle ($\Delta K = K_{max}- K_{min}$)
• $C$ and $m$: Empirical material constants obtained from testing
• $a$: Crack length
• $N$: Number of cycles
To find the total life (number of cycles $N$) for a crack to grow from an initial size $a_i$ to a critical size $a_c$, we integrate the Paris Law. For a simple case of constant amplitude loading, the integration leads to this key life prediction equation.
$$ N = \int_{a_i}^{a_c}\frac{1}{C (\Delta K)^m} \, da $$In the simulator, this integration is performed for you. The stress intensity factor range $\Delta K$ itself depends on crack length, stress range, and geometry (via $Y$). This is why the relationship is not linear, and small changes in initial flaw size can have a massive impact on total component life.
Aerospace Structural Inspection: The fuselage and wings of an aircraft undergo thousands of pressurization and flight load cycles. Engineers use Paris Law to schedule mandatory inspections. For instance, they calculate how many flight hours it takes for a worst-case detectable crack to grow to failure, and then inspect well before that point.
Civil Infrastructure Monitoring: Bridges and offshore wind turbine foundations experience cyclic loading from wind, waves, and traffic. Fatigue analysis determines the safe service life of welded joints and critical connections, informing maintenance and retrofit decisions to prevent catastrophic failures.
Automotive & Rail Component Design: Suspension components, axles, and railway tracks are subject to millions of load cycles. CAE simulations using fatigue crack growth laws help designers select materials and shapes that ensure a crack, if it initiates, will grow slowly enough to be found during routine maintenance.
Energy Sector (Oil & Gas, Nuclear): Pressure vessels and piping systems in power plants and refineries operate under high cyclic pressures and temperatures. Predicting fatigue crack growth is essential for setting safe operational lifetimes and inspection intervals, preventing leaks or ruptures.
When starting with this simulator, there are several pitfalls that beginners often encounter. A major misconception is thinking that "the Paris law is a universal rule applicable to any crack." In reality, the Paris law is only valid for the intermediate velocity range known as "Region II," where crack growth is stable. Different models are needed for the very initial stage of crack nucleation and the rapid growth stage just before fracture. For example, setting an initial crack length a0 to an extremely small value like 0.1mm could result in an actual fatigue life significantly longer than the calculated value.
Next, the material constants C and m are highly dependent on the environment and loading conditions. For instance, even for the same A7075 aluminum alloy, crack growth is faster in a humid environment than in a dry one, leading to a larger C value. Although the simulator might simply say "steel," it's crucial in practice to select a C, m pair from test data sheets that matches your specific usage environment and loading frequency (R-ratio).
Finally, regarding the interpretation of the "critical crack length ac". While the simulator can calculate it from K_IC, in practice, the "calculated ac" and the "practically acceptable length" differ. For example, in pressure vessels, based on the "leak-before-break" concept ensuring detection before failure, the management limit is often set much smaller than the calculated value. Using the tool to see how life changes when you vary ac is excellent practice for considering this "safety margin."