Investigation on multi-objective performance optimization algorithm application of fan based on response surface method and entropy method

Zhang, Li; Wu, Kexin; Liu, Yang

doi:10.1007/s11630-017-0970-3

Cited by 6 publications

(1 citation statement)

References 2 publications

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“…Tang et al [19] combined the entropy method with the extremum machine learning method to predict short-term photovoltaic power generation and achieved a significantly high prediction accuracy. In terms of fan optimization, Zhang et al [20] selected three parameters as optimization variables, established the optimization function between optimization variables and multiple objectives using the entropy method, and obtained an optimization model.…”

Section: Introductionmentioning

confidence: 99%

Maintenance Time of Permeable Asphalt Pavement Based on Entropy–Analytic Hierarchy Process Analysis

Sun

Lin³

2021

Coatings

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Dust, sediment, and stone chips often block the rainwater-infiltration paths of permeable pavements, which, in conjunction with vehicle load, reduces drainage capacity. To restore this capacity, a reasonable maintenance time and suitable maintenance measures must be determined. Therefore, we investigated the void attenuation and decline in drainage capacity of permeable asphalt pavements under the combined action of dust blockage and vehicle load. First, the water seepage coefficient decay and the decay rate under blocking and compaction were determined via clogging and compaction experiments. Second, experimental data were incorporated into an entropy–analytic hierarchy process analysis model, with the gross domestic product ratio, wind scale, and maximum five-year rainfall for the area. Finally, three test roads were studied as the weight to rank the maintenance urgency and predict the maintenance timing for each road under different rainfall conditions. The results demonstrate that the drainage capacity of permeable pavements obeys the parabolic exponential attenuation law. From the findings regarding road water storage capacity, the latest pavement maintenance time at different rainfall levels were obtained. This predicted maintenance time enables better decisions than regular time on code, which is the effect of drainage caused by multiple factors.

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Section: Introductionmentioning

confidence: 99%

Maintenance Time of Permeable Asphalt Pavement Based on Entropy–Analytic Hierarchy Process Analysis

Sun

Lin³

2021

Coatings

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Thermal Performance and Mechanics Characteristic for Double Layer Microchannel Heat Sink

Gong

et al. 2019

J. Therm. Sci.

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Multi-Objective Multi-Variable Large-Size Fan Aerodynamic Optimization by Using Multi-Model Ensemble Optimization Algorithm

Xiong,

Guo,

2024

J. Therm. Sci.

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Investigation on multi-objective performance optimization algorithm application of fan based on response surface method and entropy method

Cited by 6 publications

References 2 publications

Maintenance Time of Permeable Asphalt Pavement Based on Entropy–Analytic Hierarchy Process Analysis

Maintenance Time of Permeable Asphalt Pavement Based on Entropy–Analytic Hierarchy Process Analysis

Thermal Performance and Mechanics Characteristic for Double Layer Microchannel Heat Sink

Multi-Objective Multi-Variable Large-Size Fan Aerodynamic Optimization by Using Multi-Model Ensemble Optimization Algorithm

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