Calculate creep strain rate using the Norton power law and visualize primary-to-tertiary creep curves in real time. Predict rupture life via Larson-Miller parameter and compare 316SS, Inconel 718, and aluminum alloy.
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Watch a specimen under high temperature and constant load pass through primary (transient) → secondary (steady) → tertiary (accelerating) creep stages until rupture in real time. Increasing stress σ or temperature T increases creep rate ε̇ and shortens rupture life t_r (Norton law and Larson-Miller).
$$\dot{\varepsilon} = A \sigma^n \exp\!\left(-\frac{Q}{RT}\right)$$
Norton-Arrhenius creep law: $n$ is the creep exponent, $Q$ is the activation energy (J/mol), and $R$ is the gas constant. Increasing either stress $\sigma$ or temperature $T$ raises the steady creep rate.
$$P_{LM} = T(C + \log t_r)$$
Larson-Miller parameter: combines temperature $T$ (K) and rupture time $t_r$ (h) to predict rupture. At the same stress, increasing $T$ shortens $t_r$.
$$\varepsilon_{cr}(t) = \varepsilon_0 + \dot{\varepsilon}_{ss} t$$
Steady creep after primary creep: strain accumulates linearly at the steady rate $\dot{\varepsilon}_{ss}$ from the initial strain $\varepsilon_0$.
Steady creep rate is expressed by Norton’s power law:
$$\dot{\varepsilon}_{ss} = A \sigma^n \exp\!\left(-\frac{Q}{RT}\right)$$$A$: material constant, $\sigma$: stress [MPa], $n$: creep exponent (316SS: 4.5, IN718: 5.0, Al: 3.5), $Q$: activation energy [J/mol], $R=8.314\,\text{J/mol·K}$, and $T$: absolute temperature [K].
Total strain in the three-stage creep model：
$$\varepsilon(t) = \varepsilon_1(1 - e^{-t/\tau_1}) + \dot{\varepsilon}_{ss}\,t + \varepsilon_3(t)$$Rupture-life correlation using Larson-Miller parameters:
$$P = T\left(C + \log_{10} t_r\right)$$$T$: absolute temperature [K], $C\approx20$ (material constant), and $t_r$: rupture time [h]. For the same material, stress $\sigma$ has a unique relationship with parameter $P$, allowing long low-temperature life to be extrapolated from short high-temperature tests.
Aircraft Engine Turbine Blades：Creep is a major damage mode under high temperature and centrifugal force. Superalloys such as IN718 are used, and LMP helps manage operating life over tens of thousands of hours and set inspection intervals.
Thermal Power Plant Boiler Tubes：LMP is used for remaining-life assessment of piping exposed to high-temperature, high-pressure steam for decades. Samples from used piping are tested to judge whether life extension is acceptable.
Chemical Plant Reactors：Creep and stress-corrosion cracking are evaluated together under combined high-temperature, high-pressure, and corrosive environments.
Automotive Turbochargers and Exhaust Systems：Creep analysis is used for durability assessment under high exhaust-gas temperature. Combined thermal-fatigue and creep conditions are important.
Creep Analysis is a fundamental topic in engineering and applied physics. This interactive simulator lets you explore the key behaviors and relationships by directly manipulating parameters and observing real-time results.
By combining numerical computation with visual feedback, the simulator bridges the gap between abstract theory and physical intuition — making it an effective learning tool for students and a rapid-verification tool for practicing engineers.
The simulator is based on the governing equations behind Creep Analysis Simulator. Understanding these equations is key to interpreting the results correctly.
Each parameter in the equations corresponds to a slider in the control panel. Moving a slider changes the equation's solution in real time, helping you build a direct connection between mathematical expressions and physical behavior.
Engineering Design: The concepts behind Creep Analysis Simulator are applied across mechanical, structural, electrical, and fluid engineering disciplines. This tool provides a quick way to estimate design parameters and sensitivity before committing to full CAE analysis.
Education & Research: Widely used in engineering curricula to connect theory with numerical computation. Also serves as a first-pass validation tool in research settings.
CAE Workflow Integration: Before running finite element (FEM) or computational fluid dynamics (CFD) simulations, engineers use simplified models like this to establish physical scale, identify dominant parameters, and define realistic boundary conditions.
Model assumptions: The mathematical model used here relies on simplifying assumptions such as linearity, homogeneity, and isotropy. Always verify that your real system satisfies these assumptions before applying results directly to design decisions.
Units and scale: Many calculation errors arise from unit conversion mistakes or order-of-magnitude errors. Pay close attention to the units shown next to each parameter input.
Validating results: Always sanity-check simulator output against physical intuition or hand calculations. If a result seems unexpected, review your input parameters or verify with an independent method.
For 316 stainless steel at 650°C (923 K) under 150 MPa stress over 5000 hours: using Norton coefficients A=2.5×10⁻¹⁸ (MPa⁻ⁿ/h), stress exponent n=5.0, and activation energy Q=430 kJ/mol, the steady-state creep rate ε̇ ≈ 1.2×10⁻⁵ h⁻¹. At 1000 hours, accumulated strain reaches 1.8%, and projected rupture life t_r approaches 8500 hours with Larson-Miller parameter LM ≈ 18,500×10³.