Robust Synthetic Biology Designs based on System Dynamic Models

2014 ◽  
Keyword(s):  
Synthetic Biology ◽  
Dynamic Models ◽  
System Dynamic

Vibration and sound radiation analysis of the final drive assembly considering the gear-shaft coupling dynamics

2016 ◽  
Vol 230 (7-8) ◽  
pp. 1258-1275 ◽  
Author(s):  
Yawen Wang ◽  
Junyi Yang ◽  
Dong Guo ◽  
Teik C Lim
Keyword(s):  
Dynamic Models ◽  
Acoustic Analysis ◽  
Bending Moment ◽  
Moment Of Inertia ◽  
System Dynamic ◽  
Dynamic Responses ◽  
Propeller Shaft ◽  
Hypoid Gear ◽  
Gyroscopic Effect ◽  
Gear Mesh

A generalized dynamic model of driveline system is formulated that includes the coupling effect and gyroscopic moments of the propeller shaft and hypoid gear rotor assembly. Firstly, the dynamic models with only gear-shaft coupling, with only gyroscopic effect, and with both gear-shaft coupling and gyroscopic effect are analyzed and compared. The results show that the combined effects of the gear-shaft interaction and gyroscopic behavior have considerable influence on the system dynamic responses surrounding gear bending resonances, especially for the bearing responses. However, the gear out-of-phase torsional modes still dominate the gear mesh frequency response. Secondly, the influence of pinion bending moment of inertia, propeller shaft stiffness and bearing stiffness on the system dynamic responses are examined. The system responses are then applied to perform further vibration and acoustic analysis for an axle housing structure. Computational results reveal that NVH (noise, vibration, and harshness) refinement can be achieved by tuning the pinion bearing rotational stiffness and pinion bending moment of inertia for the example considered. This study provides an understanding of the interaction between hypoid gear pair and propeller shaft, and can be employed to enhance driveline system design.

System-Dynamic models for groundwater management in SW Messinia, Greece. 

2021 ◽  
Author(s):  
Giorgos Maneas ◽  
Erasmia Kastanidi ◽  
Ioannis Panagopoulos
Keyword(s):  
Decision Making ◽  
European Union ◽  
Dynamic Models ◽  
Coastal Wetland ◽  
Groundwater Resources ◽  
Eastern Mediterranean Region ◽  
System Dynamic ◽  
Habitats Directive ◽  
The European Union ◽  
Birds Directive

<p>The EUs Water Framework Directive, was adopted on October 2000, and it has been the basis for water management in all the EU countries since then (EU-WFD, 2000). According to the EUs-WFD, the use of groundwater bodies can be considered as sustaibale only when the portion of the overall recharge not needed by the ecology is abstracted (EU-WFD, 2000). Nonetheless, there are still cases where the implementation of the EUs-WFD faces challenges, and there is a need to better communicate the above message to water users. But how can we achieve this at a local scale?</p><p>In this work, we present the example of SW Messinia, Greece, an interlinked coastal-inland area in the Eastern Mediterranean region. In this case study, the water supply for all water uses (agriculture, tourism, domestic use) depends on groundwater resources which are also the main freshwater provider to a coastal wetland with high ecological and commercial value (Birds directive 2009/147/EC; Habitats Directive 92/43/EEC). Due to man-made interventions over the last 70 years, the wetland has passed the tipping point of being brackish (Maneas et al., 2019), and at present it is characterized as saline with hypersaline conditions for nearly 30% of the year (Manzoni et al., 2020). Unless freshwater inputs are enhanced by restoring hydrologic connectivity between the wetland and the surrounding freshwater bodies, salinity in the lagoon is expected to increase even more under future drier and warmer conditions (Manzoni et al., 2020). But how can we balance between societal and ecological groundwater needs, and how future decision making can get a broader acceptance by the society?</p><p>Under COASTAL EU project (COASTAL, 2019), we use System Dynamic (SD) models for communicating with local stakeholders towards improving land-sea interactions. In this work, we present a model which describes how inland groundwater abstraction has impacts to the wetland’s salinity. The model is used as a basis for a discussion with stakeholders and the co-creation of sustainable decision making with broader acceptance.</p><div>Literature<br><div> <p>EU WFD, 2000. Available at: https://ec.europa.eu/environment/water/water-framework/index_en.html (Accessed on 20-01-2021).</p> <p>Birds Directive 2009/147/EC (2009). The European Union Birds Directive. Available online at: https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=<br>CELEX:32009L0147 (accessed November 2, 2020) .</p> <p>Habitats Directive 92/43/EEC (1992). The European Union Habitats Directive. Available online at: https://ec.europa.eu/environment/nature/legislation/<br>habitatsdirective/index_en.htm (accessed September 2, 2019).</p> <p>Maneas, G., Makopoulou, E., Bousbouras, D., Berg, H., and Manzoni, S. (2019). Anthropogenic changes in a Mediterranean coastal wetland during the last century-the case of Gialova Lagoon, Messinia, Greece. Water 11:350. doi: 10.3390/w11020350 </p> <p>Manzoni, S., Maneas, G., Scaini, A., Psiloglou, B. E., Destouni, G., and Lyon, S. W. (2020). Understanding coastal wetland conditions and futures by closing their hydrologic balance: the case of Gialova Lagoon, Greece. Hydrol. Earth Syst. Sci. 24, 3557–3571. doi: 10.5194/hess-24-3557-2020</p> <p>Maneas G, Bousbouras D, Norrby V and Berg H (2020). Status and Distribution of Waterbirds in a Natura 2000 Area: The Case of Gialova Lagoon, Messinia, Greece. Front. Ecol. Evol. 8:501548. doi: 10.3389/fevo.2020.501548</p> <p>COASTAL [Collaborative Land-Sea Integration Platform] (2019). European Union’s H2020 Research and Innovation Programme Under Grant Agreement No. 773782. Available online at: https://h2020-coastal.eu/ (accessed 03 February, 2019).</p> </div> </div>

Identification of power steering system dynamic models

Mechatronics ◽  
1998 ◽  
Vol 8 (3) ◽  
pp. 255-270 ◽  
Author(s):  
Amuliu Bogdan Proca ◽  
Ali Keyhani
Keyword(s):  
Dynamic Models ◽  
Steering System ◽  
System Dynamic ◽  
Power Steering System ◽  
Power Steering

Study on Spatio-Temporal System Dynamic Models of Urban Growth

2007 ◽  
Vol 27 (1) ◽  
pp. 10-17 ◽  
Author(s):  
Ti-yan SHEN ◽  
Wei-dong WANG ◽  
Min HOU ◽  
Zhao-cheng GUO ◽  
Ling XUE ◽  
...  
Keyword(s):  
Urban Growth ◽  
Dynamic Models ◽  
System Dynamic ◽  
Temporal System ◽  
Spatio Temporal

scholarly journals Visualized System Dynamics models as Information and Planning Tools

10.28945/2693 ◽  
2003 ◽  
Author(s):  
Hanne-Lovise Skartveit ◽  
Katherine J. Goodnow ◽  
Magnhild Viste
Keyword(s):  
System Dynamics ◽  
Dynamic Models ◽  
System Dynamic ◽  
Time System ◽  
Management Tools ◽  
Client Group ◽  
Stocks And Flows ◽  
Graphic Complexity ◽  
New Research ◽  
Dynamics Models

In this paper, we describe the use of visualization of system dynamics models as client information and management tools. System dynamics is a methodology for analyzing and understanding how complex systems change over time. System dynamic models have been developed for a broad range of information to client applications - from resource management problems to the mapping of stocks and flows on factory floors. The problem faced by many users of system dynamic models is their graphic complexity for users not trained in the field. This paper addresses new research into visualization of system dynamics models to make client information more efficient and accessible. This research involves the use of narrative, video and sound embedded in statistical material. This paper also considers one particular client group - that of politicians, planners and civil society in developing countries.

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