Optimized Restoration Planning of Infrastructure System-of-Systems Using Heterogeneous Network Flow Simulation

2020 ◽  
Vol 34 (5) ◽  
pp. 04020032
Author(s):  
Sudipta Chowdhury ◽  
Jin Zhu ◽  
Wei Zhang
2013 ◽  
Vol 846-847 ◽  
pp. 718-723
Author(s):  
Tao Zou ◽  
Yan Zhao ◽  
Guo Qiang Zhou ◽  
Lu Lu Chen

Sneak circuit analysis method is moving to intelligent and automation direction, the method based on network flow simulation has some representation. With the expansion of the circuit system topology and the increasement of the component's amount, the analysis time increases and the efficiency is difficult to be guaranteed. To solve this situation, the circuit system can be divided into some blocks for analysis. Based on the network flow simulation model, the adjacency matrix of circuit system is established. The analysis matrix of circuit system is obtained by the simplification of the adjacency matrix; use the analysis matrix as the network model for circuit system partition analysis. Select appropriate point from the network cutting point as the partition point, the circuit system can be divided into some sub-blocks by removing these points. Circuit system stratified analysis principle is proposed; determine the division method and analysis objectives of each convention level. This method can correctly analysis sneak circuit problem for circuit system, effectively reduce the analysis time and improve the analysis efficiency. It can be taken as an effective complement of sneak circuit analysis method based on network flow simulation for engineering application.


2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Shucong Jia ◽  
Wenyu Li ◽  
Xiang Zhang ◽  
Yu Liu ◽  
Xinyu Gu

Long-term evolution advanced (LTE-A) systems will offer better service to users by applying advanced physical layer transmission techniques and utilizing wider bandwidth. To further improve service quality, low power nodes are overlaid within a macro network, creating what is referred to as a heterogeneous network. However, load imbalance among cells often decreases the network resource utilization ratio and consequently reduces the user experience level. Load balancing (LB) is an indispensable function in LTE-A self-organized network (SON) to efficiently accommodate the imbalance in traffic. In this paper, we firstly evaluate the negative impact of unbalanced load among cells through Markovian model. Secondly, we formulate LB as an optimization problem which is solved using network flow approach. Furthermore, a novel algorithm named optimal solution-based LB (OSLB) is proposed. The proposed OSLB algorithm is shown to be effective in providing up to 20% gain in load distribution index (LDI) by a system-level simulation.


2011 ◽  
Vol 300 (3) ◽  
pp. H1090-H1100 ◽  
Author(s):  
Dotan Algranati ◽  
Ghassan S. Kassab ◽  
Yoram Lanir

Myocardial ischemia is transmurally heterogeneous where the subendocardium is at higher risk. Stenosis induces reduced perfusion pressure, blood flow redistribution away from the subendocardium, and consequent subendocardial vulnerability. We propose that the flow redistribution stems from the higher compliance of the subendocardial vasculature. This new paradigm was tested using network flow simulation based on measured coronary anatomy, vessel flow and mechanics, and myocardium-vessel interactions. Flow redistribution was quantified by the relative change in the subendocardial-to-subepicardial perfusion ratio under a 60-mmHg perfusion pressure reduction. Myocardial contraction was found to induce the following: 1) more compressive loading and subsequent lower transvascular pressure in deeper vessels, 2) consequent higher compliance of the subendocardial vasculature, and 3) substantial flow redistribution, i.e., a 20% drop in the subendocardial-to-subepicardial flow ratio under the prescribed reduction in perfusion pressure. This flow redistribution was found to occur primarily because the vessel compliance is nonlinear (pressure dependent). The observed thinner subendocardial vessel walls were predicted to induce a higher compliance of the subendocardial vasculature and greater flow redistribution. Subendocardial perfusion was predicted to improve with a reduction of either heart rate or left ventricular pressure under low perfusion pressure. In conclusion, subendocardial vulnerability to a acute reduction in perfusion pressure stems primarily from differences in vascular compliance induced by transmural differences in both extravascular loading and vessel wall thickness. Subendocardial ischemia can be improved by a reduction of heart rate and left ventricular pressure.


Risk Analysis ◽  
2016 ◽  
Vol 36 (8) ◽  
pp. 1630-1643 ◽  
Author(s):  
Zhenyu Guo ◽  
Yacov Y. Haimes

2013 ◽  
Vol 16 (1) ◽  
pp. 33-49 ◽  
Author(s):  
Néstor Lerma ◽  
Javier Paredes-Arquiola ◽  
Jose-Luis Molina ◽  
Joaquín Andreu

Obtaining operation rules (OR) for multi-reservoir water systems through optimization and simulation processes has been an intensely studied topic. However, an innovative approach for the integration of two approaches – network flow simulation models and evolutionary multi-objective optimization (EMO) – is proposed for obtaining the operation rules for integrated water resource management (IWRM). This paper demonstrates a methodology based on the coupling of an EMO algorithm (NSGA-II or Non-dominated Sorting Genetic Algorithm) with an existing water resources allocation simulation network flow model (SIMGES). The implementation is made for a real case study, the Mijares River basin (Spain) which is characterized by severe drought events, a very traditional water rights system and its historical implementation of the conjunctive use of surface and ground water. The established operation rules aim to minimize the maximum deficit in the short term without compromising the maximum deficits in the long term. This research proves the utility of the proposed methodology by coupling NSGA-II and SIMGES to find the optimal reservoir operation rules in multi-reservoir water systems.


Author(s):  
Ali Mostafavi ◽  
Dulcy Abraham ◽  
Daniel Delaurentis ◽  
Joseph Sinfield ◽  
Cesar Queiroz

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