scholarly journals OBJECT MODEL USE FOR LOCOMOTIVE TRACTION DRIVE DESIGN

2019 ◽  
Vol 2019 (10) ◽  
pp. 39-47
Author(s):  
Андрей Космодамианский ◽  
Andrey Kosmodamianskiy ◽  
Дмитрий Антипин ◽  
Dmitriy Antipin ◽  
Максим Маслов ◽  
...  
Keyword(s):  
Similarity Measures ◽  
Design Procedure ◽  
Design Solution ◽  
Engineering System ◽  
Object Model ◽  
Automated Identification ◽  
Traction Drive ◽  
Engineering Solution ◽  
Utility Models ◽  
Definition Of

The paper reports the consideration of the problem in choice and use of the locomotive traction drive design procedure giving possibilities both in properties and parts modeling, and in the automated identification of design solutions of latter. The object model of a design solution as a structure including the totality of object descriptions allowing the synthesis of engineering solution models as a multitude of interrelated elements described in the libraries of well-known designs. The method differs from the earlier ones in which the creation of new solutions is stipulated by the definition of a prototype and then by its development in accordance with the tendencies revealed empirically. In the method developed the synthesis of a design object model is based on engineering system classifications. The integrated object model of a traction drive involves two parts: first, the multitude hierarchy of the traction drive description for different methods of an engineering solution schematization, secondly, a library which has descriptions of standard objects in the form of a hierarchal structure of functional interaction between elements (I-graph). The search of similar objects in the library takes place at the level of the definition of drive functional elements with the aid of the matrices of similarity measures. There are given offers for the increase of reliability and loading capacity of a rubber-cord clutch of a locomotive traction drive. There are obtained three patents for utility models and an invention patent on the solutions offered.

scholarly journals Object Model of Technical Solutions for Designing a Locomotive Train

2019 ◽  
Vol 297 ◽  
pp. 02002
Author(s):  
Dmitry Antipin ◽  
Vladimir Vorobiev ◽  
Denis Bondarenko
Keyword(s):  
Object Model ◽  
Traction Drive ◽  
Real Objects ◽  
Utility Models ◽  
Objective Model ◽  
Transverse Movement ◽  
Technical Solutions ◽  
Locomotive Train ◽  
System Objective

The task of creating a method for constructing components and parts of a locomotive drive, allowing not only to simulate the physical properties of the latter but also to form and automate the recognition of technical solutions, is considered. A model of a traction drive, which is a system of sets of descriptions of real objects of the set which makes it possible to create mathematical models of the structure in the form of a set of related elements included in the libraries of well-known solutions, is proposed. In contrast to previously known methods based on the procedure of creating new solutions under which a prototype of the structure is made and then improved on the basis of an empirical analysis of its development (while the design task is to create new structures). In the proposed method the basis for the construction of the technical system objective model is the classification of technical systems. Solutions to eleminate jamming of the sleeves of the axes with the transverse movement of the engine are proposed. A patent for the invention and two patents for the utility models are obtained.

TRACTION DRIVE OF LOCOMOTIVES WITH HIGH MOMENTUM COLLECTOR TRACTION ELECTRIC MOTOR

2021 ◽  
Vol 2 ◽  
pp. 118-129
Author(s):  
O.V. DOROFEEV ◽  
V.I. VOROBYEV ◽  
M.I. BORZENKOV ◽  
O.V. IZMEROV ◽  
S.N. ZLOBIN
Keyword(s):  
Traction Force ◽  
Optimal Solution ◽  
Practical Implementation ◽  
Traction Drive ◽  
Traction Motors ◽  
Utility Models ◽  
High Torque ◽  
Traction Drives ◽  
Technical Solutions ◽  
Traction Electric Motor

The issues of development of traction drives of locomotives are considered. It was found that with the existing limitations of the traction force and the speed of continuous operation, asynchronous traction motors do not have clear advantages over collector motors. The possibility of creating collector motors for electric locomotives with a power equal to the used asynchronous ones has been proved, new technical solutions have been proposed for units that ensure the reliability of the latter when using high-torque motors (elastic gearwheel with chevron teeth, two-layer rubber-metal hinge, rubber-cord clutch options), as an optimal solution for the drive with collector motors, it is proposed to use a drive with a support frame motor and an axial gearbox. The directions of research necessary for the practical implementation of drives with a high-torque traction motor are determined, it is proposed to conduct research on the feasibility of creating diesel locomotives with bogies, unified with electric locomotives. The proposed solutions received two patents for inventions, eight patents for utility models, two patent applications were filed.

Learning Object Model and Framework Design for the Digital Modules Production

2013 ◽  
pp. 28-36
Author(s):  
Alicia García Holgado ◽  
Francisco José García-Peñalvo ◽  
Valentina Zangrando ◽  
Antonio M. Seoane Pardo
Keyword(s):  
Production Process ◽  
Learning Object ◽  
Object Model ◽  
Creation Process ◽  
Framework Design ◽  
Digital Contents ◽  
Innovative Tool ◽  
Definition Of ◽  
Landscape Geography ◽  
Multicultural Perspective

The MIH (Multicultural Interdisciplinary Handbook) project provides new tools for helping teachers and pupils plunge deeper into the culture and the language of another nation via its history and its landscape/geography. The Digital Modules are the most innovative tool of the project. Throughout the chapter, the authors present all stages to develop MIH Digital Modules: (1) the definition of the Learning Object Model based on IEEE LOM; (2) the framework design in order to provide quality digital contents; (3) the Digital Modules production process both during the project and after the end of the project; (4) the tutorials that support all the creation process; and last, but not least, and (5) the multicultural perspective of the Digital Modules.

scholarly journals Automated identification of social interaction criteria in Drosophila melanogaster

2014 ◽  
Vol 10 (10) ◽  
pp. 20140749 ◽  
Author(s):  
J. Schneider ◽  
J. D. Levine
Keyword(s):  
Drosophila Melanogaster ◽  
Social Interaction ◽  
Life Histories ◽  
Interaction Space ◽  
Automated Identification ◽  
Treatment Groups ◽  
Automated Method ◽  
Rule Set ◽  
Universal Definition ◽  
Definition Of

The study of social behaviour within groups has relied on fixed definitions of an ‘interaction’. Criteria used in these definitions often involve a subjectively defined cut-off value for proximity, orientation and time (e.g. courtship, aggression and social interaction networks) and the same numerical values for these criteria are applied to all of the treatment groups within an experiment. One universal definition of an interaction could misidentify interactions within groups that differ in life histories, study treatments and/or genetic mutations. Here, we present an automated method for determining the values of interaction criteria using a pre-defined rule set rather than pre-defined values. We use this approach and show changing social behaviours in different manipulations of Drosophila melanogaster . We also show that chemosensory cues are an important modality of social spacing and interaction. This method will allow a more robust analysis of the properties of interacting groups, while helping us understand how specific groups regulate their social interaction space.

Reliability Analysis of Cracking and Faulting Prediction in the New Mechanistic–Empirical Pavement Design Procedure

2005 ◽  
Vol 1936 (1) ◽  
pp. 150-160 ◽  
Author(s):  
Michael Darter ◽  
Lev Khazanovich ◽  
Tom Yu ◽  
Jag Mallela
Keyword(s):  
Monte Carlo ◽  
Reliability Analysis ◽  
Design Procedure ◽  
Practical Method ◽  
Pavement Design ◽  
Rigid Pavement ◽  
Pavement Distress ◽  
Reliability Based Design ◽  
Definition Of ◽  
Reliability Performance

Reliability analysis is an important part of the mechanistic–empirical pavement design guide (M-E PDG). Even though mechanistic concepts provide a more accurate and realistic methodology for pavement design, a practical method to consider the uncertainties and variations in design and construction is needed so that a new or rehabilitated pavement can be designed for a desired level of reliability (performance as designed). Several methods, ranging from closed-form approaches to simulation-based methods, can be adopted to perform reliability-based design. However, some methods may be more suitable than others, given the complexities of the design procedure. A formal definition of reliability within the context of the M-E PDG, as well as two reliability analysis approaches considered for incorporation into the design procedure for evaluating the reliability of the rigid pavement design for cracking and faulting, was evaluated. A Monte Carlo–based simulation was combined with the damage accumulation procedure for rigid pavement distress prediction. This approach is recommended for future improvements of the procedure. The development of the reliability analysis procedure implemented into the M-E PDG also was documented. It was demonstrated that although the adopted approach is not as sophisticated as a Monte Carlo–based one, it still represents a step forward compared with AASHTO-93 reliability analysis.

BRITTLE/DUCTILE ASSESSMENT OF HYBRID REINFORCED CONCRETE BEAMS CONTAINING STEEL REBAR AND FIBERS

2017 ◽  
Vol 4 (1) ◽  
Author(s):  
Alessandro P. Fantilli ◽  
Andrea Gorino ◽  
Bernardino Chiaia
Keyword(s):  
Reinforced Concrete ◽  
Volume Fraction ◽  
Practical Interest ◽  
Design Procedure ◽  
Fiber Reinforced Concrete ◽  
Reinforced Concrete Beams ◽  
Minimum Reinforcement ◽  
Steel Rebar ◽  
Definition Of ◽  
Hybrid Reinforcement

Many structures, such as precast and cast-in-situ tunnel linings, are nowadays realized with Hybrid Reinforced Concrete (HRC), where a combination of continuous steel rebar and discrete fibers is used to reinforce the cementitious matrix. Hence, the definition of a minimum amount of hybrid reinforcement (i.e., rebar and fibers), which prevents the brittle failure, is of practical interest. For predicting the brittle/ductile response of HRC beams in bending, a theoretical model is introduced and presented in this paper. It is based on the flexural response of both Lightly Reinforced Concrete (LRC) and Fiber-Reinforced Concrete (FRC) beams, separately analyzed. The numerical results of the model, and some experimental data as well, show that the minimum reinforcement of HRC beams can be determined with a new design procedure. It requires the definition of the ductility index (DI), which is proportional to the difference between ultimate and effective cracking load. As DI linearly increases with the amount of rebar and fibers, the minimum reinforcement in HRC members can be found when DI is equal to zero. In addition, the minimum hybrid reinforcement can be defined with a suitable linear combination of the minimum area of rebar and the minimum fiber volume fraction, related to LRC and FRC beams, respectively.

Wind Turbine Blade Structure Parameterization Using T4T

2014 ◽  
Author(s):  
Giorgos A. Strofylas ◽  
Georgios I. Mazanakis ◽  
Ioannis K. Nikolos
Keyword(s):  
Wind Turbine ◽  
Parametric Design ◽  
Turbine Blades ◽  
Design Procedure ◽  
Software Tool ◽  
Computational Procedure ◽  
Physical Parameters ◽  
Wind Turbine Blades ◽  
Definition Of ◽  
Cloud Of Points

A software tool named “T4T” (Tools for Turbomachinery) has been developed for the parametric design of turbomachinery and wind turbine blades. The complete design procedure is object-oriented and parametric, providing the ability to the user to define various types of blades. It has been developed in QT C++, utilizing OpenCascade graphical and computational libraries. The software allows the user to design the outer surface either by specifying some physical parameters for each blade section, or by directly interpolating a surface through a cloud of points. The new/enhanced version of “T4T” software tool, introducing the definition of internal blade structure for wind turbines rotors, is fully parametric and customizable, allowing the user for defining the internal blade structure, including shear webs. The computational procedure finally produces compound solids, which can be further imported to mesh generation and analysis software through standard geometry exchange protocols, for cooperation with CFD and CSD solvers.

New Similarity Measures between Vague Sets and Performance Analysis

2013 ◽  
Vol 811 ◽  
pp. 547-551 ◽  
Author(s):  
Hong Xu Wang ◽  
Hai Feng Wang ◽  
Kun Zhang ◽  
Hui Wang
Keyword(s):  
Data Mining ◽  
Performance Analysis ◽  
Similarity Measure ◽  
Similarity Measures ◽  
Practical Case ◽  
Vague Sets ◽  
Diagnosis Method ◽  
And Performance ◽  
Definition Of ◽  
New Formula

In order to amend the defects of existing similarity measure formula between vague sets, a new definition of similarity measure between vague sets is proposed and a new formula with higher resolution and highlighted uncertainty is presented on the basis of data mining vague value method. A general fault diagnosis method of Vague sets (GFDMVS) is proposed. The same practical case is studied with three methods and the results demonstrate the validity and reasonability of the method proposed in this paper.

scholarly journals Co-occurrence Retrieval: A Flexible Framework for Lexical Distributional Similarity

2005 ◽  
Vol 31 (4) ◽  
pp. 439-475 ◽  
Author(s):  
Julie Weeds ◽  
David Weir
Keyword(s):  
Language Processing ◽  
Similarity Measures ◽  
Document Retrieval ◽  
Wide Range ◽  
Distributional Similarity ◽  
Potential Applications ◽  
The Difference ◽  
Occurrence Type ◽  
Definition Of ◽  
Relationship Of

Techniques that exploit knowledge of distributional similarity between words have been proposed in many areas of Natural Language Processing. For example, in language modeling, the sparse data problem can be alleviated by estimating the probabilities of unseen co-occurrences of events from the probabilities of seen co-occurrences of similar events. In other applications, distributional similarity is taken to be an approximation to semantic similarity. However, due to the wide range of potential applications and the lack of a strict definition of the concept of distributional similarity, many methods of calculating distributional similarity have been proposed or adopted. In this work, a flexible, parameterized framework for calculating distributional similarity is proposed. Within this framework, the problem of finding distributionally similar words is cast as one of co-occurrence retrieval (CR) for which precision and recall can be measured by analogy with the way they are measured in document retrieval. As will be shown, a number of popular existing measures of distributional similarity are simulated with parameter settings within the CR framework. In this article, the CR framework is then used to systematically investigate three fundamental questions concerning distributional similarity. First, is the relationship of lexical similarity necessarily symmetric, or are there advantages to be gained from considering it as an asymmetric relationship? Second, are some co-occurrences inherently more salient than others in the calculation of distributional similarity? Third, is it necessary to consider the difference in the extent to which each word occurs in each co-occurrence type? Two application-based tasks are used for evaluation: automatic thesaurus generation and pseudo-disambiguation. It is possible to achieve significantly better results on both these tasks by varying the parameters within the CR framework rather than using other existing distributional similarity measures; it will also be shown that any single unparameterized measure is unlikely to be able to do better on both tasks. This is due to an inherent asymmetry in lexical substitutability and therefore also in lexical distributional similarity.

scholarly journals Using Local Alignments for Relation Recognition

2010 ◽  
Vol 38 ◽  
pp. 1-48 ◽  
Author(s):  
S. Katrenko ◽  
P. W. Adriaans ◽  
M. Van Someren
Keyword(s):  
Sequence Similarity ◽  
General Relation ◽  
Similarity Measures ◽  
Semantic Relatedness ◽  
Structural Similarity ◽  
Learning Task ◽  
Semantic Knowledge ◽  
Local Alignment ◽  
Data Sets ◽  
Definition Of

This paper discusses the problem of marrying structural similarity with semantic relatedness for Information Extraction from text. Aiming at accurate recognition of relations, we introduce local alignment kernels and explore various possibilities of using them for this task. We give a definition of a local alignment (LA) kernel based on the Smith-Waterman score as a sequence similarity measure and proceed with a range of possibilities for computing similarity between elements of sequences. We show how distributional similarity measures obtained from unlabeled data can be incorporated into the learning task as semantic knowledge. Our experiments suggest that the LA kernel yields promising results on various biomedical corpora outperforming two baselines by a large margin. Additional series of experiments have been conducted on the data sets of seven general relation types, where the performance of the LA kernel is comparable to the current state-of-the-art results.

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