DMGB / SYSTEMS v426

THE FIELD GUIDE / 001 · MECHANICS

The art of
softening
a shock.

When the world shakes, does everything have to shake with it?

A spring and a damper can give a delicate object a gentler ride. Explore how it works—and why making it softer is not always better.

Feel the difference ↗Start with the idea ↓
Conceptual CAD assembly: an inert block above a moving base, connected by two springs and a central damper in parallel.
A spring gives room. A damper calms the bounce.

The top block is the inert mass. The two coils store energy. The central damper turns some motion into heat. All connect the mass to the moving base below.

Explore the 3D model and its limits

This original conceptual CAD assembly is reduced to one ideal mass, one total stiffness and one total damping coefficient in the calculation. The springs and damper act in parallel. The lesson calculates motion in one direction only, around loaded equilibrium.

Dimensions were chosen for explanation. They do not specify the simulated mass, stiffness, damping or available travel, and do not establish a tested device or manufacturing design.

A very simple version

Imagine this

A spring gives a bumpy object room to move. Another part slows the bouncing, like a bicycle shock absorber. That part is called a damper. If there is too little room, the object can still hit the end.

For curious readers: how it could help and what the evidence says

How it could help people

Today, spring-and-damper supports reduce vibration for some instruments and equipment. This page's calculations could help choose what to test in a real mount.

Evidence and limits

A computer tried 54 chosen cases to show the trade-off. These were calculations, not real tests; friction, heat, tired parts, stops and real bumps still need checking.

Read-aloud starter; not yet tested with children. The fuller science, data, figures and sources follow below.

01 / UNDERSTAND

A little movement.
A much calmer ride.

Imagine carrying a cup of water on a bumpy road. If you hold it rigidly, every bump reaches the cup. If your arms bend, the cup can move more gently.

An isolator does something similar. It lets a protected object move relative to its support. The challenge is giving it enough room without letting it bounce for too long.

01

The spring gives it room.

It stores energy as it bends or stretches, then pushes the object back toward its resting position.

02

The damper settles it down.

Like a bicycle shock absorber, it resists motion and turns some mechanical energy into heat.

03

The space sets the limit.

A softer support often needs more travel. Run out of room and the object may hit a stop—something this simple model does not simulate.

02 / EXPERIMENT

One bump. Two different rides.

Change the suspension. Watch the calculated motion, then compare the accelerations below.

Softer ← natural frequency → stiffer

More damping reduces bouncing, but can transmit more of a short shock.

A brief jolt and a long push behave differently.

Fixed scenario: 75 kg instrument, 1 g peak input, 25 mm available travel. These are teaching assumptions.

The drawing rescales movement to fit each scenario; compare the travel values, not the animation size. Both supports receive the same bump. The animation shows motion relative to the moving support.

Peak acceleration
Space needed
Compared with rigid

What reaches the instrument?

Rigid mount Isolated mount

Changing the view does not change the calculation or its full-window peak values.

Inspect the calculated time series

The table shows 100 consecutive integration samples per page. Times are seconds, acceleration is in g, and relative travel is in millimetres. The CSV contains all 8,000 samples for the current controls.

Calculated response time series (current controls)
Time (s)Base (g)Instrument (g)Travel (mm)

Time in seconds → · acceleration in g (1 g ≈ 9.81 m/s²). Curves are recalculated from the spring–damper equations, not illustrative scores.

03 / THE SURPRISE

Softer is a trade.
Not a free upgrade.

Try “Soft & bouncy”, then lengthen the bump. The instrument can need more space and keep moving after the shock ends. Try “Stiff”: movement shrinks, but more acceleration can reach the instrument. Good design starts with the kind of disturbance you expect.

04 / WHAT THIS COULD IMPROVE

Less shaking.
More useful work.

PRECISION

Sharper measurements

Isolate sensitive optics or laboratory instruments from floor vibration. The benefit depends on the vibration frequencies and the instrument’s tolerance.

TRANSPORT

Gentler journeys for equipment

Design protective mounts for delicate payloads. A useful next step is to measure real bumps and check the required travel.

MACHINERY

Less vibration spreading

Reduce vibration passed between a machine and its surroundings. A full design must also consider mounting geometry and multiple directions.

05 / STUDY RESULTS

One promising curve is not enough.

What happens when we test the idea across 54 different conditions? A numerical parameter study reveals both the benefit and the space it demands.

54 simulated configurations25 g peak input acceleration8 / 54 meet both illustrative targets

COMPUTATIONAL STUDY · Original project calculations · Not experimental measurements or a peer-reviewed publication

Three panels compare normalized peak acceleration against pulse duration for natural frequencies of 1, 3 and 10 Hz, with three damping ratios in each panel.
Figure 1. Response to shock duration. Each point is one simulation; connecting lines guide the eye. The vertical axis divides the instrument’s peak acceleration by the 25 g input peak. A value below 1 means a smaller peak than rigid mounting; below 0.7 means at least a 30% reduction. Both peaks use absolute acceleration magnitude. The horizontal axis is logarithmic.

How to read it. Lower is gentler. Compare the left and right panels: a softer suspension can soften a brief jolt substantially, while a long push is harder to isolate. Some conditions amplify the peak instead of reducing it.

Download figure: PDFSVGPNG
Scatter plot of all 54 configurations showing normalized peak acceleration against travel in millimetres. The target region requires less than 250 mm travel and an acceleration ratio of at most 0.7.
Figure 2. The price of a gentler ride. Each point represents a frequency, damping and pulse-duration combination. Colour identifies natural frequency and shape identifies damping; each series contains six pulse durations. The green region combines less than 250 mm travel with at least 30% peak reduction. Eight of the 54 cases satisfy both criteria. Horizontal distance is logarithmic; points can overlap.

What matters. The bottom-left region is the useful compromise in this screening exercise: less acceleration, without too much movement. A very low point far to the right still needs a large mechanism. The 8/54 count describes this chosen grid; it is not a probability of success.

Download figure: PDFSVGPNG
Inspect all 54 study configurations

Archived 25 g input and 250 mm travel screen, separate from the live 1 g example. Pass requires travel strictly below 250 mm and at least 30% peak reduction. Values are rounded for display; screening uses stored unrounded values.

All 54 recorded parameter combinations
CasePulse (s)Frequency (Hz)Damping ratioPeak (g)Travel (mm)Reduction (%)Screen
10.021.00.11.760428.3992.96Outside screen
20.021.00.51.995271.3092.02Outside screen
30.021.01.03.652182.7085.39Pass
40.023.00.15.263142.3778.95Pass
50.023.00.55.88490.1676.47Pass
60.023.01.09.31060.7262.76Pass
70.0210.00.116.95441.2732.19Pass
80.0210.00.517.01326.1431.95Pass
90.0210.01.019.84517.6220.62Outside screen
100.051.00.14.3901068.8782.44Outside screen
110.051.00.54.933676.9380.27Outside screen
120.051.01.08.066455.8567.73Outside screen
130.053.00.112.927349.6748.29Outside screen
140.053.00.513.565221.4645.74Pass
150.053.01.017.169149.1631.32Pass
160.0510.00.134.48884.17-37.95Outside screen
170.0510.00.527.91153.76-11.64Outside screen
180.0510.01.026.26036.92-5.04Outside screen
190.11.00.18.7192122.7865.12Outside screen
200.11.00.59.5181344.3961.93Outside screen
210.11.01.013.435905.3646.26Outside screen
220.13.00.124.251656.003.00Outside screen
230.13.00.522.262415.8510.95Outside screen
240.13.01.023.259280.806.97Outside screen
250.110.00.138.41694.62-53.66Outside screen
260.110.00.530.18766.50-20.75Outside screen
270.110.01.027.32950.83-9.32Outside screen
280.251.00.120.7465050.6017.02Outside screen
290.251.00.519.8983200.0420.41Outside screen
300.251.01.021.8052157.8212.78Outside screen
310.253.00.138.7641057.60-55.05Outside screen
320.253.00.530.149703.06-20.60Outside screen
330.253.01.027.281507.58-9.13Outside screen
340.2510.00.125.39362.94-1.57Outside screen
350.2510.00.525.94563.28-3.78Outside screen
360.2510.01.025.87759.72-3.51Outside screen
370.51.00.134.4908417.66-37.96Outside screen
380.51.00.527.9135375.99-11.65Outside screen
390.51.01.026.2603692.48-5.04Outside screen
400.53.00.133.969932.62-35.87Outside screen
410.53.00.528.491737.21-13.96Outside screen
420.53.01.026.782623.32-7.13Outside screen
430.510.00.125.50563.32-2.02Outside screen
440.510.00.525.24962.41-1.00Outside screen
450.510.01.025.24361.49-0.97Outside screen
461.01.00.138.4179462.23-53.67Outside screen
471.01.00.530.1876650.31-20.75Outside screen
481.01.01.027.3295082.73-9.32Outside screen
491.03.00.126.590732.79-6.36Outside screen
501.03.00.525.654698.81-2.61Outside screen
511.03.01.025.637671.38-2.55Outside screen
521.010.00.125.09162.32-0.37Outside screen
531.010.00.525.06262.18-0.25Outside screen
541.010.01.025.06261.95-0.25Outside screen
The eight configurations inside the target region
Selected cases from the 54-configuration shock-isolation study
Pulse (s)Frequency (Hz)Damping ratioPeak (g)Travel (mm)
0.021.01.03.652182.70
0.023.00.15.263142.37
0.023.00.55.88490.16
0.023.01.09.31060.72
0.0210.00.116.95441.27
0.0210.00.517.01326.14
0.053.00.513.565221.46
0.053.01.017.169149.16

To run the independent check, place the downloaded study.json beside the reference script and run it with Python and NumPy. It compares peaks on the same 0.5 ms sample grid; it does not bound unsampled continuous-time extrema.

How the study was run

A 75 kg mass, supported by a linear spring and viscous damper, starts at rest. Its base receives one half-sine acceleration pulse with a 25 g peak. We combine 3 natural frequencies (1, 3, 10 Hz), 3 damping ratios (0.1, 0.5, 1) and 6 pulse durations (0.02–1 s).

The equations are integrated for 4 s with fourth-order Runge–Kutta and a 0.0005 s time step. These figures report calculated maxima within that window. There are no statistical error bars because these are deterministic runs, not repeated measurements.

What this does—and does not—establish

The calculation demonstrates a trade-off within an idealised one-dimensional model. The 250 mm travel and 30% reduction thresholds are illustrative screening choices, not validated engineering requirements.

Travel stops, friction, nonlinear springs and heat are omitted. A numerical sensitivity check halved the time step: peak acceleration changed by at most 0.003864 g and travel by 5.476 micrometres across the 54 cases. Extending the simulation from 4 to 15 seconds changed neither maximum. All screening classifications stayed the same. An independent closed-form solution was also compared at the same sample times: the largest peak-acceleration discrepancy was 0.000000544 g, with all classifications unchanged. These checks validate the numerical solution of the assumed equations, not their fit to a real device. Physical model validation remains necessary. The interactive experiment above uses a milder 1 g input and a 25 mm travel allowance; these plots retain the recorded study’s original conditions.

A HYPOTHETICAL DESIGN QUESTION

Will a gentler ride fit in the available space?

Imagine a 75 kg instrument with 25 mm of allowed relative movement about its equilibrium position. Assign a 1 g half-sine bump lasting 0.05 seconds. Choose a natural frequency of 3 Hz and damping ratio 0.5.

The model gives a sampled peak of 0.543 g and 8.86 mm of relative travel: a 45.7% peak reduction. Against hypothetical goals of at least 30% reduction and no more than 25 mm of relative travel, this case passes both numerical checks. These goals are teaching choices, not an instrument's certified limits.

The effective total stiffness would be about 26.6 kN/m and viscous damping 1.41 kN·s/m, from k = m(2πf)² and c = 2mζ(2πf). They describe the complete ideal support, not each individual mount or an available product.

Dynamic travel is not total device size. Springs, damper stroke, attachments, stops, tolerances and clearance require additional space. If this same ideal spring carries the weight vertically, static compression is about 27.6 mm before the bump. The 8.86 mm response is measured around that loaded equilibrium. Preload and support geometry need their own account.

These are maxima over the existing 0.5 ms sample grid, not bounds on every instant. The model omits friction, stops and nonlinear effects. It does not establish hardware safety, a purchasing specification or a cost saving.

What evidence would test this prediction?

  1. Define the comparison. Record the actual mass and mounting boundary. Compare rigid and isolated configurations under documented comparable base inputs.
  2. Measure both sides. Record base acceleration, instrument acceleration and relative displacement using a common time reference. State the loaded-equilibrium travel reference.
  3. Check the measurement. Document sensor calibration, range, bandwidth, orientation and timing uncertainty. Saturation, aliasing or misalignment can imitate an apparent benefit.
  4. Keep variation visible. Repeat observations, retain input histories and report variation alongside calibration and timing uncertainty. A nominal bump label alone is insufficient.
  5. Compare and revise. Compare complete histories and peaks with a model driven by the measured input. Friction, heating, fatigue, mounting flexibility or stop contact may require a revised model or narrower claim.

This is a measurement-evidence plan, not a construction guide or shock-test operating procedure. No physical test was performed for this page.

06 / WHAT WE ACTUALLY KNOW

An established principle.
An explorable model.

Spring–damper isolation is conventional mechanics. This chapter offers a numerical experiment, not a new material or a tested product.

Already available

The project contains a 54-case numerical study. Under its original 25 g shock assumptions, 8 cases met both illustrative screening rules: at least 30% lower peak acceleration and less than 250 mm travel. Those rules are not safety limits.

Still to demonstrate

Real springs and dampers are not perfectly linear. Hardware tests must establish friction, heating, fatigue, mounting behaviour and what happens at a travel stop.

Open the mathematics & recorded study

Relative displacement x obeys:

x″ + 2ζω x′ + ω²x = −abase(t)

ω = 2πf; f is natural frequency, ζ is damping ratio. The input is a half-sine acceleration pulse. Instrument acceleration is −2ζωx′ − ω²x.

The simulator uses fourth-order Runge–Kutta, a 0.0005 s step and a 4 s window. It starts at rest and omits stops, nonlinear effects and additional degrees of freedom. The live model uses 1 g; the recorded study used 25 g.

Download the 54-case study (JSON) ↗

READ FURTHER

From this model to the literature.

These sources explain the underlying methods and real applications. They do not validate the particular simulations on this page.

MIT Engineering Dynamics · Vibration Isolation

A teaching lecture on springs, damping and how vibration passes from a source to a receiver. Its discussion of sustained vibration complements our single-shock experiment.

Passive vibration isolation for optical tables · Research paper

A published research record describing a spring-and-viscous-damping system with six degrees of freedom. This is a more complete physical system than our one-dimensional idealisation.

A few useful words

Hertz (Hz): cycles per second. Natural frequency: the rate at which an ideal undamped system oscillates after a disturbance. Damping ratio: a measure of resistance to oscillation; a ratio of 1 is critical damping in this linear model. Resonance: a strong response when repeated excitation interacts with the system’s natural motion.

Chapter revised 27 September 2026. Original site figures are numerical results; linked literature retains its own authorship and rights.