| | SLO | ENG | Piškotki in zasebnost

Večja pisava | Manjša pisava

Iskanje po katalogu digitalne knjižnice Pomoč

Iskalni niz: išči po
išči po
išči po
išči po
* po starem in bolonjskem študiju


1 - 3 / 3
Na začetekNa prejšnjo stran1Na naslednjo stranNa konec
Experimental models of medium break loss of coolant accidents with and without steam generator tube rupture
Jure Marn, Marjan Delić, Leopold Škerget, 2003, izvirni znanstveni članek

Opis: This paper reports model experiments simulating medium break loss of coolant accidents, with and without steam generator tube rupture (SGTR), in pressurized water reactors. Apart from a significant influence on the pressure in the reactor coolant system in the early parts of the accident, SGTR generally has only a small effect on the pressures and temperatures during the accident. The initial reactor conditions are found to be more significant. Some results of preliminary numerical models are briefly presented and these are broadly in agreement with the experimental measurements.
Ključne besede: nuclear engineering, nuclear accidents, steam generator tube rupture, loss of coolant, medium break loss of coolant accident, computer program, Melcor, MELCOR computer code, integral test facility
Objavljeno v DKUM: 01.06.2012; Ogledov: 1351; Prenosov: 98
URL Povezava na celotno besedilo

The role of computer-aided chemical engineering education within the european Bologna three- cycle study system
Zdravko Kravanja, Jiri Klemeš, 2011, objavljeni znanstveni prispevek na konferenci

Opis: Universities around Europe are currently adopting the new Bologna three-cycle study system and most of Chemical Engineering departments have already developed new study programs accordingly. In this respect, two main questions have been posed in order to reorganize current chemical engineering study programs: i) which skills and knowledge, common to all chemical engineers, should not be ignored whilst developing new chemical engineer curricula, and ii) which are the other chemical engineering topics, engineering fields, and nonengineering knowledge necessary for engineers to manage those problems of specific current and future (bio)chemical and process related industries. One of the aims of this presentation is to discuss basic learning outcomes, and recommended topics common to all chemical engineers, especially relating to those process systems engineering aspects to be embedded within new study programs requiring the use of computer-aided methods and tools during chemicalengineering education. The uses for these methods and tools will be discussed shortly, among them the development of new computer-aided methods and tools, multimedia internet-based teaching and learning programs, and cyberinfrastrucure-based virtual libraries.
Ključne besede: Bologna study system, computer-aided education, chemical engineering core curriculum, program outcomes, computer-aided methods and tools
Objavljeno v DKUM: 01.06.2012; Ogledov: 1947; Prenosov: 84
URL Povezava na celotno besedilo

Using neural networks in the process of calibrating the microsimulation models in the analysis and design of roundabouts in urban areas
Irena Ištoka Otković, 2011, doktorska disertacija

Opis: The thesis researches the application of neural networks in computer program calibration of traffic micro-simulation models. The calibration process is designed on the basis of the VISSIM micro-simulation model of local urban roundabouts. From the five analyzed methods of computer program calibration, Methods I, II and V were selected for a more detailed research. The three chosen calibration methods varied the number of outgoing traffic indicators predicted by neural networks and a number of neural networks in the computer program calibration procedure. Within the calibration program, the task of neural networks was to predict the output of VISSIM simulations for selected functional traffic parameters - traveling time between the measurement points and queue parameters (maximum queue and number of stopping at the roundabout entrance). The Databases for neural network training consisted of 1379 combinations of input parameters whereas the number of output indicators of VISSIM simulations was varied. The neural networks (176 of them) were trained and compared for the calibration process according to training and generalization criteria. The best neural network for each calibration method was chosen by using the two-phase validation of neural networks. The Method I is the calibration method based on calibration of a traffic indicator -traveling time and it enables validation related to the second observed indicator – queue parameters. Methods II and V connect the previously described calibration and validation procedures in one calibration process which calibrates input parameters according to two traffic indicators. Validation of the analyzed calibration methods was performed on three new sets of measured data - two sets at the same roundabout and one set on another location. The best results in validation of computer program calibration were achieved by the Method I which is the recommended method for computer program calibration. The modeling results of selected traffic parameters obtained by calibrated VISSIM traffic model were compared with: values obtained by measurements in the field, the existing analysis methods of operational roundabouts characteristics (Lausanne method, Kimber-Hollis, HCM) and modeling by the uncalibrated VISSIM model. The calibrated model shows good correspondence with measured values in real traffic conditions. The efficiency of the calibration process was confirmed by comparing the measured and modeled values of delays, of an independent traffic indicator that was not used in the process of calibration and validation of traffic micro-simulation models. There is also an example of using the calibrated model in the impact analysis of pedestrian flows on conflicting input and output flows of vehicles in the roundabout. Different traffic scenarios were analyzed in the real and anticipated traffic conditions.
Ključne besede: traffic models, traffic micro-simulation, calibration of the VISSIM model, computer program calibration method, neural networks in the calibration process, micro-simulation of roundabouts, traffic modeling parameters, driving time, queue parameters, delay
Objavljeno v DKUM: 02.06.2011; Ogledov: 4399; Prenosov: 312
.pdf Celotno besedilo (13,21 MB)

Iskanje izvedeno v 0.05 sek.
Na vrh
Logotipi partnerjev Univerza v Mariboru Univerza v Ljubljani Univerza na Primorskem Univerza v Novi Gorici