Object and System Behaviour

2014 ◽  
pp. 127-147
Author(s):  
Monique Snoeck
Keyword(s):  
System Behaviour

Studying Complex Human-System Behaviour: Human-in-the-loop Simulation Requirements

2007 ◽  
Author(s):  
David Crone ◽  
Penelope Sanderson ◽  
Neelam Naikar
Keyword(s):  
Human System ◽  
Human In The Loop ◽  
System Behaviour

Numerical investigation of interaction between propulsion system behaviour and manoeuvrability of a large containership

2021 ◽  
pp. 147509022110442
Author(s):  
Huan Tu ◽  
Hui Chen
Keyword(s):  
Diesel Engine ◽  
Coupled Model ◽  
Propulsion System ◽  
Marine Diesel Engine ◽  
Large Power ◽  
Engine Model ◽  
Ship Manoeuvring ◽  
System Behaviour ◽  
Marine Diesel ◽  
Actual Operation

In actual operation process of a ship, the engine-propeller-hull is an integrated system with internal coupling effects, and thus there is a close interaction between the diesel engine propulsion system operation conditions and the ship manoeuvring motions. The propulsion system can experience large power fluctuation during manoeuvring, with considerable torque increase with regard to the stabilized value in straight course. However, the diesel engine propulsion system behaviour and ship manoeuvrability are usually studied separately as they are considered to belong to different disciplines. Thus, it is difficult to reflect the actual operating characteristics of the propulsion system and ship manoeuvring motion under coupled conditions in actual operation. To investigate the interaction between the propulsion system behaviour and the manoeuvrability of a large containership, this paper proposed a multi-disciplinary ship mobility model capable of coupling the marine diesel engine model and the ship manoeuvring model. In the engine model, the mean value modelling approach was adopted to simulate the two-stroke marine diesel engine considering the fact that it can capture the performance of the engine sub-systems including scavenging receiver, exhaust gas receiver, turbocharger, etc. In the manoeuvring model, the MMG-based method was used to simulate the ship manoeuvring motion with three degrees-of-freedom. The engine model and manoeuvring model were coupled through the propeller model that transferring propeller speed and torque between the two models. The coupled model was validated against the engine shop test data and the sea trial results. By applying this coupled model, a series of simulations of turning circle manoeuvres under various scenarios were performed. The simulation results presented the dynamic response of engine internal sub-systems during turning circle manoeuvring, explained the effect of the torque limiter on engine performance and ship manoeuvring motion, and analyse the influence of different propulsion system control strategies on the ship turning circle manoeuvrability. Although the presented case study has been validated on a specific ship, most of the discussed models have a general application.

The Role of Parts in the System Behaviour

2014 ◽  
pp. 24-39 ◽  
Author(s):  
Davide Di Ruscio ◽  
Ivano Malavolta ◽  
Patrizio Pelliccione
Keyword(s):  
System Behaviour

scholarly journals Modelling the system behaviour of wet snow avalanches using an expert system approach for risk management on high alpine traffic roads

2005 ◽  
Vol 5 (6) ◽  
pp. 821-832 ◽  
Author(s):  
A. Zischg ◽  
S. Fuchs ◽  
M. Keiler ◽  
G. Meißl
Keyword(s):  
Risk Management ◽  
Fuzzy Logic ◽  
Expert System ◽  
Temporal Variability ◽  
Hazard Index ◽  
Rule Base ◽  
Spatial And Temporal Variability ◽  
Snow Avalanches ◽  
System Behaviour ◽  
Wet Snow

Abstract. The presented approach describes a model for a rule-based expert system calculating the temporal variability of the release of wet snow avalanches, using the assumption of avalanche triggering without the loading of new snow. The knowledge base of the model is created by using investigations on the system behaviour of wet snow avalanches in the Italian Ortles Alps, and is represented by a fuzzy logic rule-base. Input parameters of the expert system are numerical and linguistic variables, measurable meteorological and topographical factors and observable characteristics of the snow cover. Output of the inference method is the quantified release disposition for wet snow avalanches. Combining topographical parameters and the spatial interpolation of the calculated release disposition a hazard index map is dynamically generated. Furthermore, the spatial and temporal variability of damage potential on roads exposed to wet snow avalanches can be quantified, expressed by the number of persons at risk. The application of the rule base to the available data in the study area generated plausible results. The study demonstrates the potential for the application of expert systems and fuzzy logic in the field of natural hazard monitoring and risk management.

Importance of river system behaviour in assessing flood risk

2008 ◽  
pp. 327-337 ◽  
Author(s):  
M van Mierlo ◽  
T Schweckendiek ◽  
W Courage
Keyword(s):  
Flood Risk ◽  
River System ◽  
System Behaviour

Central nervous system — behaviour

1991 ◽  
pp. 115-136
Author(s):  
T. W. Stone ◽  
H. A. Simmonds
Keyword(s):  
Central Nervous System ◽  
Nervous System ◽  
System Behaviour
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