TH-CD-304-09: Simple and Automatic Calibration Technique for Plastic Scintillation Dosimeters

2015 ◽  
Vol 42 (6Part43) ◽  
pp. 3724-3724
Author(s):  
C Laliberte-Houdeville ◽  
L Beaulieu ◽  
L Archambault
2021 ◽  
Author(s):  
Nicholas Brent Burns ◽  
Kathryn Daniel ◽  
Manfred Huber ◽  
Gergely Zaruba

2011 ◽  
Vol 1 (32) ◽  
pp. 60 ◽  
Author(s):  
Christophe Briere ◽  
Alessio Giardino ◽  
Jebbe Van der Werf

The modeling of bar dynamics is crucial for understanding coastal dynamics and shoreface nourishment evolution. Due to the complexity and variability of the physical processes involved, the formulations developed within the process-based numerical modelling system Delft3D for representing the forcing of the morphodynamic processes (waves, currents, sand transport) contain a high number of calibration parameters. Therefore, the setting up of any Delft3D computation requires a tedious calibration work, usually carried out manually and therefore by definition subjective. The aim of this work is the setting up of an automated and objective calibration procedure for Delft3D morphodynamic computations. A number of calibration parameters have been identified based on a careful sensitivity analysis. The calibration method named DUD (Does not Use Derivatives) is selected and coupled to a alongshore uniform Delft3D model. The validity of the implementation is shown based on synthetic tests (twin experiments). The validation test is carried out using field data collected at Egmond-aan-Zee (The Netherlands). This paper shows that the tool can be successfully used to calibrate Delft3D. However, further research is especially required to understand whether the computed parameters settings only simulate the best morphodynamic evolution of the bars or also describe properly the underlying physical processes.


2009 ◽  
Vol 19 (1) ◽  
pp. 14-21 ◽  
Author(s):  
Seungheon Hyeon ◽  
Yusuk Yun ◽  
Seungwon Choi

2004 ◽  
Vol 4 (5-6) ◽  
pp. 383-388
Author(s):  
D.M. Rogers

Water is a fundamental necessity of life. Yet water supply and distribution networks the world over are old and lacking in adequate maintenance. Consequently they often leak as much water as they deliver and provide an unacceptable quality of service to the customer. In certain parts of the world, water is available only for a few hours of the day. The solution is to build a mathematical model to simulate the operation of the real network in all of its key elements and apply it to optimise its operation. To be of value, the results of the model must be compared with field data. This process is known as calibration and is an essential element in the construction of an accurate model. This paper outlines the optimum approach to building and calibrating a mathematical model and how it can be applied to automatic calibration systems.


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