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
TURBULENCE Demographics Fractals Physics Science Failure BIFURCATIONS Strategy Growth Risk Economics Navier Stokes Finance Engineering Biology Chaos Mathematics Environment Health Population MTBF
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
Ariel Ortiz Gomes
Insight diagram
Physics
Satteliet om de aarde
Mats van Beek
A PID control loop for a simple linear system Some stochasticity in the throttle and sensor ​
Physics Control
A PID control loop for a simple linear system
Some stochasticity in the throttle and sensor ​
1st Order PID Loop
Nicholas Milford
3
Uma empresa de transportes precisa efetuar a entrega de uma encomenda o mais breve possível. Para tanto, a equipe de logística analisa o trajeto desde a empresa até o local da entrega. Ela verifica que o trajeto apresenta dois trechos de distâncias diferentes e velocidades máximas permitidas dif
Physics Kinematics Computational Modeling SYSTEM DYNAMIC Simulation.

Uma empresa de transportes precisa efetuar a entrega de uma encomenda o mais breve possível. Para tanto, a equipe de logística analisa o trajeto desde a empresa até o local da entrega. Ela verifica que o trajeto apresenta dois trechos de distâncias diferentes e velocidades máximas permitidas diferentes. No primeiro trecho, a velocidade máxima permitida é de 80 km/h e a distância a ser percorrida é de 80 km. No segundo trecho, cujo comprimento vale 60 km, a velocidade máxima permitida é 120 km/h. Supondo que as condições de trânsito sejam favoráveis para que o veículo da empresa ande continuamente na velocidade máxima permitida, qual será o tempo necessário, em horas, para a realização da entrega? 

Fonte: Enem 2012

Clique aqui para ver uma descrição do que é Movimento Uniforme.

Clone of Movimento Uniforme
Paulo Villela
b) zelfde verloop, gewoon vertraagd c) raakt grond tussen 48,25 en 48,50, fout is 0,5 sec, want het kan achterlopen
Physics
b) zelfde verloop, gewoon vertraagd
c) raakt grond tussen 48,25 en 48,50, fout is 0,5 sec, want het kan achterlopen
Vallen met varierende luchtdichtheid
Mats van Beek
Insight diagram
Fluid Mecanics Physics Cleen Energy
Bomba Ariete Original
Rocio Hernandez
Insight diagram
Kinematics IACS Physics Wind Resistance
Rocket Model Mach 3
Jason McFeeley
Insight diagram
Physics Scientific Modelling
Problema da queda de pedras de granizo: modelo 1, sem resistência
Milena Lauschner Lopes
Insight diagram
Physics Kinematics Wind Resistance IACS
Clone of Clone of Wind Resistance Model
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Insight diagram
Physics
11. Veer beweging
Fysica
3
Simple model of object falling from rest in Earth's gravity, with air resistance.
Physics
Simple model of object falling from rest in Earth's gravity, with air resistance.
FreeFallGravitySimpleModel
Pravin Sashidharan
Problem of the sliding chain
Mathematics Cegep Physics
Problem of the sliding chain
Clone of Sliding Chain
Ann-Pier Marois
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
Chaos Environment Economics Strategy Failure Risk MTBF BIFURCATIONS Finance Growth Mathematics Population Demographics Science Physics Biology Navier Stokes Engineering Health TURBULENCE Fractals
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
atif
Insight diagram
Physics
11. Veer beweging
Wiebe Anass
Insight diagram
Cleen Energy Fluid Mecanics Physics
Clone of Proyecto: Bomba de Ariete
Rocio Hernandez
​Força de arrasto linear referências: CREF - Velocidade das gotas de chuva. 27 de abril, 2020. É verdade que as gotas de chuva sempre caem com a mesma velocidade devido a gravidade?  Respondido por: Prof. Fernando Lang da Silveira - www.if.ufrgs.br/~lang/ https://www.if.ufrgs.br/novocref/?co
Queda Fall Physics Fisica
​Força de arrasto linear referências:

CREF - Velocidade das gotas de chuva. 27 de abril, 2020. É verdade que as gotas de chuva sempre caem com a mesma velocidade devido a gravidade? Respondido por: Prof. Fernando Lang da Silveira - www.if.ufrgs.br/~lang/

CREF - Velocidade de pedras de granizo no solo. 22 de outubro, 2015. Respondido por: Prof. Fernando Lang da Silveira - www.if.ufrgs.br/~lang/

 Silveira, F. (2015). Velocidade das pedras de granizo Hailstone speed. https://doi.org/10.13140/RG.2.2.33619.94245

https://www.researchgate.net/publication/339536656_Velocidade_das_pedras_de_granizo_Hailstone_speed


Aula 10 - Velocidade Terminal 

Aerodinâmica da Bola de Futebol: da Copa de 70 à Jabulani Carlos Eduardo Aguiar Programa de Pós-Graduação em Ensino de Física Instituto de Física - UFRJ

Número de Reynolds


Aula 5.2 - Origem física do arrasto linear e quadrático: o número de Reynolds. Mecânica Clássica UFF Prof. Jorge de Sá Martins 

Viscosidade, turbulência e tensão superficial - IF UFRJ
 
Sugestões de Modelagem (Leonardo):

Revista Brasileira de Ensino de Física, vol. 41, nº 3 (2019) É seguro atirar para cima? Uma analise da letalidade de projéteis subsônicos. Saulo Luis Lima da Silva, Herman Fialho Fumiã.

FRENAGEM DE UM PROJÉTIL EM UM MEIO FLUIDO: “QUAL SERIA A DISTÂNCIA, DENTRO DA ÁGUA, PERCORRIDA POR UM PROJÉTIL CALIBRE .50 COM MASSA DE 50 G E VELOCIDADE DE 850 M/S?”  Fernando Lang da Silveira Instituto de Física – UFRGS 


Clone of Fall with drag force
Kyra Evers
9 months ago
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
Demographics Failure Environment Fractals Health Economics Strategy Population Growth Chaos Physics Biology Risk TURBULENCE MTBF Engineering Navier Stokes Science BIFURCATIONS Finance Mathematics
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 BATHTUB MEAN TIME BETWEEN FAILURE (MTBF) RISK
sub cribed
Insight diagram
Physics
Clone of Rocket Model
Benedikt Hitthaler
Insight diagram
Physics
Skydivng
Kennedy Tartaglia
THE BROKEN LINK BETWEEN SUPPLY AND DEMAND CREATES TURBULENT CHAOTIC DESTRUCTION The existing global capitalistic growth paradigm is totally flawed Growth in supply and productivity is a summation of variables as is demand ... when the link between them is broken by catastrophic failure in a compon
Physics Navier Stokes Biology TURBULENCE Strategy Mathematics Finance Economics Environment Engineering Health Fractals Demand Chaos Supply
THE BROKEN LINK BETWEEN SUPPLY AND DEMAND CREATES TURBULENT CHAOTIC DESTRUCTION

The existing global capitalistic growth paradigm is totally flawed

Growth in supply and productivity is a summation of variables as is demand ... when the link between them is broken by catastrophic failure in a component the creation of unpredictable chaotic turbulence puts the controls ito a situation that will never return the system to its initial conditions as it is STIC system (Lorenz)

The chaotic turbulence is the result of the concept of infinite bigness this has been the destructive influence on all empires and now shown up by Feigenbaum numbers and Dunbar numbers for neural netwoirks

See Guy Lakeman Bubble Theory for more details on keeping systems within finite working containers (villages communities)

Clone of Clone of Clone of Clone of Clone of Clone of Clone of THE BROKEN LINK BETWEEN SUPPLY AND DEMAND CREATES CHAOTIC TURBULENCE (+controls)
Yanhui Su
Insight diagram
Wind Resistance Physics Kinematics IACS
Spring Model
Maiel Richards
Insight diagram
Physics
Etude du saut de Felix Baumgartner
Patrick Bury
Insight diagram
Wind Resistance Kinematics IACS Physics
Rocket Model 2015 DiCarlo
Christopher DiCarlo
22
THE BROKEN LINK BETWEEN SUPPLY AND DEMAND CREATES TURBULENT CHAOTIC DESTRUCTION The existing global capitalistic growth paradigm is totally flawed Growth in supply and productivity is a summation of variables as is demand ... when the link between them is broken by catastrophic failure in a compon
Navier Stokes Environment Fractals Health Biology Strategy Physics Demand Mathematics Finance Economics Engineering Supply TURBULENCE Chaos
THE BROKEN LINK BETWEEN SUPPLY AND DEMAND CREATES TURBULENT CHAOTIC DESTRUCTION

The existing global capitalistic growth paradigm is totally flawed

Growth in supply and productivity is a summation of variables as is demand ... when the link between them is broken by catastrophic failure in a component the creation of unpredictable chaotic turbulence puts the controls ito a situation that will never return the system to its initial conditions as it is STIC system (Lorenz)

The chaotic turbulence is the result of the concept of infinite bigness this has been the destructive influence on all empires and now shown up by Feigenbaum numbers and Dunbar numbers for neural netwoirks

See Guy Lakeman Bubble Theory for more details on keeping systems within finite working containers (villages communities)

Clone of THE BROKEN LINK BETWEEN SUPPLY AND DEMAND CREATES CHAOTIC TURBULENCE (+controls)
Dr THOMAS ILIN