A theoretical analysis of bubble interaction in boiling systems

Chai, Li He

doi:10.1016/j.ijthermalsci.2004.03.002

Cited by 18 publications

(1 citation statement)

References 12 publications

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“…According to the connections between potential functions and dynamic evolutional equations, the stochastic evolutionary equations from Eq. ( 7) can be deduced [7][8]:…”

Section: Dynamic Principle Of Maximum Entropymentioning

confidence: 99%

Fractal Mechanism Analysis and Simulation of Information System

Qiao

Chai

2012

AMR

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To find the best design and development model for the information system, this paper discusses the structural formation of the information system and the kinetics of the evolution of information system from the perspective of non-equilibrium statistical mechanics and generalized entropy in the system. Based on this view, physical laws for the evolution dynamics of information system are expressed as the maximum generalized entropy principle (MGEP). Combining with self-organizing feature map algorithm, we have analyzed the effect on the system structure from the exchange between information flows. That is to say, an information system has fractal characteristics. Except for these theories, we have done some numerous simulation on information systems of 10 major cities in China's to verify the fractal characteristics, which has great significant to the guidance of achieving full use of resources, accelerating the process of information society and constructing information systems.

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“…According to the connections between potential functions and dynamic evolutional equations, the stochastic evolutionary equations from Eq. ( 7) can be deduced [7][8]:…”

Section: Dynamic Principle Of Maximum Entropymentioning

confidence: 99%

Fractal Mechanism Analysis and Simulation of Information System

Qiao

Chai

2012

AMR

Self Cite

View full text Add to dashboard Cite

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Assessment of regional vulnerability to seismic hazards in the Beijing–Tianjin–Hebei metropolitan area, China

Liu

Zuo

et al. 2014

Nat Hazards

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Energy flows in complex ecological systems: a review

Jiang

2009

J Syst Sci Complex

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Energy flow drives the complex systems to evolve. The allometric scaling as the universal energy flow pattern has been found in different scales of ecological systems. It reflects the general power law relationship between flow and store. The underlying mechanisms of energy flow patterns are explained as the branching transportation networks which can be regarded as the result of systematic optimization of a biological target under constraints. Energy flows in the ecological system may be modelled by the food web model and population dynamics on the network. This paper reviews the latest progress on the energy flow patterns, explanatory models for the allometric scaling and modelling approach of flow and network evolution dynamics in ecology. Furthermore, the possibility of generalizing these flow patterns, modelling approaches to other complex systems is discussed.

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A theoretical analysis of bubble interaction in boiling systems

Cited by 18 publications

References 12 publications

Fractal Mechanism Analysis and Simulation of Information System

Fractal Mechanism Analysis and Simulation of Information System

Assessment of regional vulnerability to seismic hazards in the Beijing–Tianjin–Hebei metropolitan area, China

Energy flows in complex ecological systems: a review

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