Distribution network development based on stochastic modelling approach

2014 ◽  
Author(s):  
Marko Kolenc ◽  
Igor Papic ◽  
Bostjan Blazic
Keyword(s):  
Distribution Network ◽  
Stochastic Modelling ◽  
Network Development ◽  
Modelling Approach

Stochastic modelling of flow sequences for improved prediction of fluvial flood hazards

2018 ◽  
Vol 488 (1) ◽  
pp. 205-219 ◽  
Author(s):  
Sandhya Patidar ◽  
Deonie Allen ◽  
Rick Haynes ◽  
Heather Haynes
Keyword(s):  
Flood Risk ◽  
Stochastic Modelling ◽  
Statistical Characteristics ◽  
Probability Density Distribution ◽  
Flood Hazards ◽  
Limited Information ◽  
Daily Streamflow ◽  
Flooding Events ◽  
Gp Model ◽  
Modelling Approach

AbstractThe availability of historical streamflow data of the desired length is often limited and, in these situations, the ability to synthetically generate statistically significant datasets becomes important. We previously developed a highly efficient stochastic modelling approach for the synthetic generation of daily streamflow sequences using the systematic combination of a hidden Markov model with the generalized Pareto distribution (the HMM-GP model). Daily streamflow sequences provide limited information on various significant small duration flooding events exceeding the peak over threshold values, but these are averaged out in the daily datasets. These small duration intense flooding events are often capable of causing significant damage and are important in conducting thorough flood risk management and flood risk assessment studies. This paper presents upgrades to our HMM-GP stochastic modelling approach and examines its efficiency in simulating streamflow at a temporal resolution of 15 minutes. The potential of the HMM-GP model in simulating a synthetic 15-minute streamflow series is investigated by comparing various statistical characteristics (e.g. percentiles, the probability density distribution and the autocorrelation function) of the observed streamflow records with 100 synthetically simulated streamflow time series. The proposed modelling schematics are robustly validated across case studies in four UK rivers (the Don, Nith, Dee and Tweed).

scholarly journals Predicting DNA damage foci and their experimental readout with 2D microscopy: a unified approach applied to photon and neutron exposures

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Sofia Barbieri ◽  
Gabriele Babini ◽  
Jacopo Morini ◽  
Werner Friedland ◽  
Manuela Buonanno ◽  
...  
Keyword(s):  
Dna Damage ◽  
Stochastic Modelling ◽  
Data Interpretation ◽  
Dose Dependence ◽  
Biological Damage ◽  
Full Control ◽  
Damage Content ◽  
Experimental Findings ◽  
Correct Data ◽  
Modelling Approach

Abstract The consideration of how a given technique affects results of experimental measurements is a must to achieve correct data interpretation. This might be challenging when it comes to measurements on biological systems, where it is unrealistic to have full control (e.g. through a software replica) of all steps in the measurement chain. In this work we address how the effectiveness of different radiation qualities in inducing biological damage can be assessed measuring DNA damage foci yields, only provided that artefacts related to the scoring technique are adequately considered. To this aim, we developed a unified stochastic modelling approach that, starting from radiation tracks, predicts both the induction, spatial distribution and complexity of DNA damage, and the experimental readout of foci when immunocytochemistry coupled to 2D fluorescence microscopy is used. The approach is used to interpret γ-H2AX data for photon and neutron exposures. When foci are reconstructed in the whole cell nucleus, we obtain information on damage characteristics “behind” experimental observations, as the average damage content of a focus. We reproduce how the detection technique affects experimental findings, e.g. contributing to the saturation of foci yields scored at 30 minutes after exposure with increasing dose and to the lack of dose dependence for yields at 24 hours.

scholarly journals Stochastic modelling and feedback control of bistability in a turbulent bluff body wake

2016 ◽  
Vol 802 ◽  
pp. 726-749 ◽  
Author(s):  
R. D. Brackston ◽  
J. M. García de la Cruz ◽  
A. Wynn ◽  
G. Rigas ◽  
J. F. Morrison
Keyword(s):  
Reynolds Number ◽  
Feedback Control ◽  
Symmetry Breaking ◽  
Large Scale ◽  
Bluff Body ◽  
Three Dimensional ◽  
Power Saving ◽  
Stochastic Modelling ◽  
Bluff Body Wake ◽  
Modelling Approach

A specific feature of three-dimensional bluff body wakes, flow bistability, is a subject of particular recent interest. This feature consists of a random flipping of the wake between two asymmetric configurations and is believed to contribute to the pressure drag of many bluff bodies. In this study we apply the modelling approach recently suggested for axisymmetric bodies by Rigaset al.(J. Fluid Mech., vol. 778, 2015, R2) to the reflectional symmetry-breaking modes of a rectilinear bluff body wake. We demonstrate the validity of the model and its Reynolds number independence through time-resolved base pressure measurements of the natural wake. Further, oscillating flaps are used to investigate the dynamics and time scales of the instability associated with the flipping process, demonstrating that they are largely independent of Reynolds number. The modelling approach is then used to design a feedback controller that uses the flaps to suppress the symmetry-breaking modes. The controller is successful, leading to a suppression of the bistability of the wake, with concomitant reductions in both lateral and streamwise forces. Importantly, the controller is found to be efficient, the actuator requiring only 24 % of the aerodynamic power saving. The controller therefore provides a key demonstration of efficient feedback control used to reduce the drag of a high-Reynolds-number three-dimensional bluff body. Furthermore, the results suggest that suppression of large-scale structures is a fundamentally efficient approach for bluff body drag reduction.

A STOCHASTIC MODELLING APPROACH TO ACTUATED CONTROLS

2006 ◽  
Vol 39 (12) ◽  
pp. 478-483
Author(s):  
Francesco Viti ◽  
Hao Liu ◽  
Henk J. van Zuylen
Keyword(s):  
Stochastic Modelling ◽  
Modelling Approach
Sign in / Sign up

Export Citation Format

Share Document