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Potential energy to Velocity
Clone of Velocity
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Problem of the sliding chain
Clone of Sliding Chain
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Z205 from System Zoo 1 p95-98

Clone of Chaotic Bistable Oscillator
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Simulating soil temperature profile.

'Tm' is the annual surface mean temperature. 'delta T' is the annual variation in surface temperature. 'Te' is the long term equilibrium temperature at depth.

Clone of Seasonal Heat Flow into Surface of Earth
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Clone of Homework 9/16
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Simulating soil temperature profile.

'Tm' is the annual surface mean temperature. 'delta T' is the annual variation in surface temperature. 'Te' is the long term equilibrium temperature at depth.

Seasonal Heat Flow into Surface of Earth
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OBLIQUE THROW IN VACUUM

A body is thrown obliquely into the vacuum at an initial velocity of 100 m / s, in a direction that forms with the horizontal an angle x, such that sin (x) = 0.8 and cos (x) = 0.6. Adopting g = 10m / s², determine:

(a) the horizontal and vertical velocity component modules at the moment of launch;

(b) the instant at which the body reaches the highest point of its trajectory;

c) the maximum height reached by the body;

d) The range of the throw.

Source: RAMALHO, NICOLAU AND TOLEDO; Fundamentos de Física, Volume 1, 8th edition, pp. 12 - 169, 2003.

This model may be cloned and modified without prior permission of the authors. Thanks for quoting the source.

PHYSICS: Kinematics, Projectile
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Buenos Dias, Goeden dag, Guten Tag, Muraho, Jasas, Sabadi Kap, Bonjour, Buongiourno, Good day
Clone of Clone of eenparige worp in twee dimensies
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Problem of the sliding chain
Clone of Sliding Chain
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Problem of the sliding chain
Clone of Sliding Chain
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Electron in a Coulomb potential (H atom)

W1=-13.6 eV
-13.6 eV electron in a Coulomb potential (H atom)
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Clone of Nuclear Decay Chain
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Simulation of MTBF with controls

F(t) = 1 - e ^ -λt 
Where  
• F(t) is the probability of failure  
• λ is the failure rate in 1/time unit (1/h, for example) 
• t is the observed service life (h, for example)

The inverse curve is the trust time
On the right the increase in failures brings its inverse which is loss of trust and move into suspicion and lack of confidence.
This can be seen in strategic social applications with those who put economy before providing the priorities of the basic living infrastructures for all.

This applies to policies and strategic decisions as well as physical equipment.
A) Equipment wears out through friction and preventive maintenance can increase the useful lifetime, 
B) Policies/working practices/guidelines have to be updated to reflect changes in the external environment and eventually be replaced when for instance a population rises too large (constitutional changes are required to keep pace with evolution, e.g. the concepts of the ancient Greeks, 3000 years ago, who based their thoughts on a small population cannot be applied in 2013 except where populations can be contained into productive working communities with balanced profit and loss centers to ensure sustainability)

Early Life
If we follow the slope from the leftmost start to where it begins to flatten out this can be considered the first period. The first period is characterized by a decreasing failure rate. It is what occurs during the “early life” of a population of units. The weaker units fail leaving a population that is more rigorous.

Useful Life
The next period is the flat bottom portion of the graph. It is called the “useful life” period. Failures occur more in a random sequence during this time. It is difficult to predict which failure mode will occur, but the rate of failures is predictable. Notice the constant slope.  

Wearout
The third period begins at the point where the slope begins to increase and extends to the rightmost end of the graph. This is what happens when units become old and begin to fail at an increasing rate. It is called the “wearout” period. 
Clone of BATHTUB MEAN TIME BETWEEN FAILURE (MTBF) RISK
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Simple periodically driven damped oscillator.
Periodically Driven Damped Oscillator
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Z203 from System Zoo 1 p88-90
Bossel: Z203 Brusselator
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Clone of Bomba de golpe de Ariete 05 09 2021
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Z206 from Hartmut Bossel System Zoo 1 p99-102 See also a beautiful Youtube 3D Video Simulation

Clone of Lorenz Attractor
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Oscillator with limit cycle from Z202 System Zoo 1 p84-87
Bossel: Z202 Van der Pol Oscillator
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Simulation of MTBF with controls

F(t) = 1 - e ^ -λt 
Where  
• F(t) is the probability of failure  
• λ is the failure rate in 1/time unit (1/h, for example) 
• t is the observed service life (h, for example)

The inverse curve is the trust time
On the right the increase in failures brings its inverse which is loss of trust and move into suspicion and lack of confidence.
This can be seen in strategic social applications with those who put economy before providing the priorities of the basic living infrastructures for all.

This applies to policies and strategic decisions as well as physical equipment.
A) Equipment wears out through friction and preventive maintenance can increase the useful lifetime, 
B) Policies/working practices/guidelines have to be updated to reflect changes in the external environment and eventually be replaced when for instance a population rises too large (constitutional changes are required to keep pace with evolution, e.g. the concepts of the ancient Greeks, 3000 years ago, who based their thoughts on a small population cannot be applied in 2013 except where populations can be contained into productive working communities with balanced profit and loss centers to ensure sustainability)

Early Life
If we follow the slope from the leftmost start to where it begins to flatten out this can be considered the first period. The first period is characterized by a decreasing failure rate. It is what occurs during the “early life” of a population of units. The weaker units fail leaving a population that is more rigorous.

Useful Life
The next period is the flat bottom portion of the graph. It is called the “useful life” period. Failures occur more in a random sequence during this time. It is difficult to predict which failure mode will occur, but the rate of failures is predictable. Notice the constant slope.  

Wearout
The third period begins at the point where the slope begins to increase and extends to the rightmost end of the graph. This is what happens when units become old and begin to fail at an increasing rate. It is called the “wearout” period. 
Clone of Clone of Clone of BATHTUB MEAN TIME BETWEEN FAILURE (MTBF) RISK
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Practicum Paris Gun
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Simple example of a 1D spring "solving" the differential equation using flows (dQ/dt) and stocks (Q). I had to remove "units" because you don't seem to be able to create units, by combining existing units. I needed "N/m" for the spring constant.
1D Spring
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Simple example of a 1D spring "solving" the differential equation using flows (dQ/dt) and stocks (Q). I had to remove "units" because you don't seem to be able to create units, by combining existing units. I needed "N/m" for the spring constant.
Clone of 1D Spring
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Le but de cette simulation est de simuler l'évolution de niveau entre deux ou plusieurs réservoirs qui se remplissent l'un l'autre.

Les niveaux se stabilisent vers une valeur asymptotique.

On peut changer la valeur des résistances d'écoulement entre les différents réservoirs, ce qui change les niveaux d'équilibre des réservoirs une fois l'état stationnaire atteint.
Hydraulic oscillator
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Clone of Wind Resistance Model