Time-varying tandem queues with blocking: modeling, analysis, and operational insights via fluid models with reflection

2018 ◽  
Vol 89 (1-2) ◽  
pp. 15-47 ◽  
Author(s):  
Noa Zychlinski ◽  
Avishai Mandelbaum ◽  
Petar Momčilović
2012 ◽  
Vol 134 (2) ◽  
Author(s):  
Sudhir Kaul

This paper presents four alternate models of varying complexity to examine mechanical snubbing in elastomeric isolators. Although the modeling, analysis, and experimentation presented is limited to snubbing of elastomeric isolators, the models are generic and can be adapted to other snubbing mechanisms as well, such as friction snubbing. Two of the four models presented in this paper use the Bouc–Wen model in order to capture hysteresis and gradual stiffening behavior, which is generally exhibited by elastomeric snubbing systems. The other two models are relatively simplistic and do not account for a time-varying parameter to model significant hysteresis. However, these two models can still be useful for applications with a small range of excitation frequencies and for applications where the snubbing design needs to incorporate an abrupt transition in stiffness. A parameter identification technique is used to determine the variables associated with each model. The parameter identification technique is based on the use of an optimization algorithm associated with the force–displacement characterization. All four models presented in this paper capture the coupled dynamics of the isolation system and the snubbing system and are, therefore, a significant improvement upon the currently used models. The models presented are expected to facilitate the design and analysis of a passive isolation system in conjunction with the design of the snubbing system and the base frame supporting the snubbing system.


2018 ◽  
Vol 46 (5) ◽  
pp. 492-499 ◽  
Author(s):  
Noa Zychlinski ◽  
Petar Momčilović ◽  
Avishai Mandelbaum

2018 ◽  
Vol 33 (3) ◽  
pp. 417-437 ◽  
Author(s):  
Zhenghua Long ◽  
Jiheng Zhang

We extend the measure-valued fluid model, which tracks residuals of patience and service times, to allow for time-varying arrivals. The fluid model can be characterized by a one-dimensional convolution equation involving both the patience and service time distributions. We also make an interesting connection to the measure-valued fluid model tracking the elapsed waiting and service times. Our analysis shows that the two fluid models are actually characterized by the same one-dimensional convolution equation.


1975 ◽  
Vol 97 (2) ◽  
pp. 126-130 ◽  
Author(s):  
R. DeMoyer ◽  
L. R. Horwitz

While many modern water companies are equipped with data logging computers, there is no generally accepted methodology for utilizing the large quantities of accumulated data for the purpose of least cost control. The overall control concept presented, designed to take advantage of such data, includes system modeling, adaptive modeling, analysis of time varying demand, and optimal pump control.


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