HHT-α Method (Hilber-Hughes-Taylor)

Category: Structural Analysis | Integrated 2026-04-06
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HHT-α Method (Hilber-Hughes-Taylor)

HHT-α Method (Hilber-Hughes-Taylor): Theoretical Foundations

What is the HHT-α Method?

🙋

Professor, is the HHT-α method an improved version of the Newmark method?


🎓

Yes. It's an improved version by Hilber, Hughes, Taylor (1977) that added a numerical damping parameter $\alpha$ to the Newmark method. It's the default time integration method in Abaqus and Ansys.


Problems with the Newmark Method

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The Newmark method ($\beta=1/4, \gamma=1/2$) is second-order accurate and unconditionally stable, but has zero numerical dissipation. High-frequency numerical noise, once introduced, never disappears. High-frequency noise is prone to occur with contact impacts or sudden load changes.


🙋

It's problematic that high-frequency noise doesn't disappear.


🎓

The HHT-α method solves this problem. It preserves low-frequency accuracy while selectively damping only high frequencies.


HHT-α Method Algorithm

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Modified equation of motion:


$$ [M]\{\ddot{u}_{n+1}\} + (1+\alpha)[C]\{\dot{u}_{n+1}\} - \alpha[C]\{\dot{u}_n\} + (1+\alpha)[K]\{u_{n+1}\} - \alpha[K]\{u_n\} = (1+\alpha)\{F_{n+1}\} - \alpha\{F_n\} $$

Parameter relationships:

$$ \beta = \frac{(1-\alpha)^2}{4}, \quad \gamma = \frac{1-2\alpha}{2} $$

🙋

So it matches the Newmark method when $\alpha = 0$, right?


🎓

The range for $\alpha$ is $-1/3 \leq \alpha \leq 0$. $\alpha = 0$: No damping (Newmark method). $\alpha = -0.05$: Gentle high-frequency damping. $\alpha = -1/3$: Maximum high-frequency damping (but accuracy degrades).


🎓

Practical recommendation: Around $\alpha = -0.05$. This effectively damps high-frequency noise while maintaining second-order accuracy.


Abaqus

```

*DYNAMIC, ALPHA=-0.05 $ HHT-α α value

0.001, 1.0

```

Abaqus default is equivalent to $\alpha = -0.05$ (APPLICATION=MODERATE DISSIPATION).

Ansys

```

TINTP, , , , , 0.05 $ γ = 1/2 + 0.05 → equivalent α

```

In Ansys, set Newmark parameters with the TINTP command. γ > 1/2 gives numerical damping.

Nastran

```

PARAM, NDAMP, 0.01 $ Numerical damping parameter

```

Summary

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Key points:


  • Newmark method + numerical damping $\alpha$ — Selective damping of high-frequency noise
  • $\alpha = -0.05$ is recommended — Suppresses high frequencies while maintaining 2nd-order accuracy
  • Default in Abaqus/Ansys — Often used without realizing it
  • Degenerates to Newmark method at $\alpha = 0$ — No numerical damping
  • HHT-α is effective when high-frequency noise appears from contact or sudden load changes

🙋

So many engineers are "using the HHT-α method without knowing it."


🎓

The default for *DYNAMIC in Abaqus is the HHT-α method. Appropriate numerical damping is applied even without changing settings. However, understanding the $\alpha$ value allows you to adjust it when noise appears.


Coffee Break Yomoyama Talk

HHT-α: A Numerical Damping Scheme Born in 1977

The HHT-α algorithm, published by Hilber, Hughes, and Taylor in 1977, extends Newmark-β to selectively damp only high-frequency components. The α parameter ranges from −1/3 ≤ α ≤ 0, where α = 0 matches the Newmark method, and α ≈ −0.1 can suppress high-frequency noise while maintaining second-order accuracy and unconditional stability. Abaqus's *DYNAMIC procedure adopts α = −0.05 as default, making it a practical standard for seismic response calculations in building structures.

Computational Methods for the HHT-α Method (Hilber-Hughes-Taylor)

Numerical Characteristics of HHT-α Method

🙋

Please explain the numerical characteristics of the HHT-α method in detail.


🎓
$\alpha$Numerical DampingAccuracyApplication
0None2nd orderPure Newmark method
-0.05GentleNearly 2nd orderRecommended (Standard)
-0.1ModerateSlightly degradedProblems with much noise
-0.33MaximumClose to 1st orderSpecial applications only
🙋

So accuracy drops if you make $\alpha$ larger (more negative) than -0.1.


🎓

Numerical damping also affects low frequencies. Larger $|\alpha|$ damps low-frequency response more. $\alpha = -0.05$ strikes a good balance of "damping high frequencies while hardly affecting low frequencies".


Relationship with Generalized-α Method

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Chung-Hulbert's (1993) Generalized-α method further generalizes the HHT-α method. It allows independent control of low-frequency accuracy and high-frequency damping. Abaqus's APPLICATION=MODERATE DISSIPATION is based on the Generalized-α method.


Summary

🎓
  • $\alpha = -0.05$ is the standard recommendation — High-frequency damping + low-frequency accuracy
  • Avoid making $|\alpha|$ too large — Low frequencies also get damped
  • Generalized-α method is the latest — A superset of HHT-α
  • Default settings handle most problems — Change only for special cases

  • Coffee Break Yomoyama Talk

    Analysis Accuracy Changes with α Selection

    Setting HHT-α's α between −0.05 and −0.10 results in a numerical damping ratio ξnum of a few percent to about 10% for the highest mode. Making α too small (e.g., α = −0.3) damps even physical low-order modes, so for structural engineering, it's desirable to have it affect modes with natural periods below about 0.01s. In MSC Nastran SOL 109 direct transient response, HHT-α can be set with the DTI,DIRECTT,ALPHA card.

    HHT-α Method (Hilber-Hughes-Taylor) in Practice

    HHT-α Method in Practice

    🎓

    In practice, situations where you "consciously use the HHT-α method" are limited. It's fine to rely on the solver's default for most cases.


    When to Adjust $\alpha$

    🎓
    Situation$\alpha$ Adjustment
    High-frequency noise present in responseStrengthen to $\alpha = -0.1$
    Low-frequency accuracy is critical (flutter, etc.)Revert to $\alpha = 0$ (Newmark method)
    Spike noise from contact impact$\alpha = -0.05 \sim -0.1$
    No issues with defaultNo change needed

    Practical Checklist

    🎓
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