scholarly journals Assessment of means of mechanization of construction risks using catastrophe theory

2018 ◽  
Vol 251 ◽  
pp. 03008
Author(s):  
Vladimir Zorin ◽  
Natali Baurova

In article questions of assessment of the risks arising in the course of design, production and operation of means of mechanization of construction using catastrophe theory are considered. In the course of operation of the machine malfunctions, suddenly defiant refusals of details gradually collect. The device of the theory of accidents allows to develop models of change of technical condition and operational properties of a details material for various service conditions. In the field of space of conditions of the system containing critical signs accident emergence conditions (refusal of a detail and an emergency) are created. Assessment of probability of emergence of refusal during a certain period of operation of the machine taking into account weight of consequences allows to establish risk level.

2021 ◽  
pp. 69-79
Author(s):  
V. V. GRITSAN ◽  

The article presents the results of surveys of 311 class IV hydraulic structures carried out in 2016-2020 in the Moscow region. All the reservoirs of the surveyed hydraulic units were classified according to their characteristic features, the technical condition of culverts and dams was assessed, there was established the safety level of both separate structures and hydraulic units as a whole. During the surveys, the technical parameters of the surveyed structures were established, the state of each structure and the hydraulic unit as a whole was assessed, a possibility of their accident and a risk level for the downstream areas were considered. At the same time, recommendations were developed for the elimination of serious damage and, with the help of an examination, the amount of the cost of the necessary repair work was determined. The paper also assesses the issues of the ecological state of the areas where the hydraulic units are located and the hydraulic units themselves as blocks of the ecological framework of the territories.


Author(s):  
Daniele Catelani

Simulation has been a competitive differentiator for engineering-driven businesses, available at all stages of the development process and lifecycle, used by the various domains within an organization, not necessarily simulation experts. It requires discipline integration, scalability, reduced-order model, and democratization. The concept of digital transformation involves new approaches for data and lifecycle management, the understanding of the digital thread, digital twin, predictive and cognitive capabilities, including improvement of model complexity, integration of physics, increase of knowledge. These trends require bringing the physical and virtual worlds closer together and also the adoption of cyber-physical model at all stages of design, production, and operation. To overcome the drawback of simulation and the need to balance the computational effort with accuracy and efficiency, new modelization strategies are adopted with ML and AI, which use a combination of virtual and physical data for training ROM, with an order of magnitude faster than the multiphysics one.


2020 ◽  
Vol 212 ◽  
pp. 02002
Author(s):  
Vladimir Barsukov ◽  
Alla Volik ◽  
Svetlana Sazon

When operating in wet and corrosive conditions, composite reinforcement is in some cases an effective substitute for the suitable steel reinforcement. However, many questions related to its design, production and operation are insufficiently studied. The aim of the work is to create a methodology and carry out a comparative structural and mechanical analysis of strength indexes when working under load of coils and a bar of composite construction reinforcement. A method has been developed for analyzing the loading capacity of composite reinforcement according to the criteria of strength at rupture of a bar, as well as shear strength and bearing strength of its braid coils. Analytical and numerical modeling of conditions of equal strength of structural elements of composite construction reinforcement was carried out. Theoretically substantiated the assumption of a relatively low loading capacity of the braid coils in comparison with the loading capacity of the reinforcement bar. A predictive estimate of the conditions for ensuring the uniform strength of the bar for breaking and braid coils for shear and crushing by the method of lower estimation (for the minimum values of strength) has been carried out using the example of composite reinforcing bars produced by the industry of Republic of Belarus. In conclusion, results of work are formulated and it is noted that the results can be used by manufacturers and consumers of construction composite reinforcement, also in the educational process in the training of engineering personnel for the construction profile.


2021 ◽  
Author(s):  
◽  
Gints Poišs

A power transformer is a key unit in the transmission system, and its cut-off can impact both consumers and the general stability of the system. Therefore, it is an important tool for processing the operational and technical condition data to quantify them as the technical condition index (TCI). Based on the technical condition of the power transformer, the TCI enables objective and reasoned decisions on the future investments related to replacement or repairs of transformers. Thus, by using the TCI, the service life of the transformer can be safely extended, since the identified risks have been recognized and are being followed-up. The TCI method is useful for a power transformer park, because it allows easy identification of transformers that require most attention. A crucial precondition for this method is data availability, diversity, and regularity or frequency of data collection. These features (preconditions) may vary in different power transmission systems, and it creates the necessity for a tailored approach. The present Doctoral Thesis studies the diagnostic methods used in the transmission system in Latvia and the results thereof. Thus, it takes advantage of an already existing data set and flow to develop a TCI-based complex of algorithms for determining the risk level of high-power transformers in acceptable risk conditions.


Author(s):  
Lyudmyla Kuzmych ◽  
Volodymyr Kvasnikov

The method of estimating the resource of complex technical objects, in particular, aviation technique, is proposed, which includes the construction of a mathematical model of the object's functioning to determine its actual technical condition and residual resource for planning, design, production, operation, repairs, and modernization of aviation technique. To determine the actual state and estimate the residual life of structures, it is proposed to simultaneously evaluate several characteristics of the material of the object: the characteristic parameters of the structure of the material, integral parameters of the material, related to strength (for example, hardness), the presence and nature of macro defects, the degree of corrosion wear of the metal. Limit values of the selected diagnostic parameters are determined by available standards or technical conditions for objects. The dynamics of changes in diagnostic parameters can be monitored and modeled on the basis of the data of periodic inspections of the control object.


2021 ◽  
Vol 13 (5) ◽  
pp. 2495
Author(s):  
Rong Xie ◽  
Muyan Chen ◽  
Weihuang Liu ◽  
Hongfei Jian ◽  
Yanjun Shi

Turbomachinery from a life cycle perspective involves sustainability-oriented development activities such as design, production, and operation. Digital Twin is a technology with great potential for improving turbomachinery, which has a high volume of investment and a long lifespan. This study presents a general framework with different digital twin enabling technologies for the turbomachinery life cycle, including the design phase, experimental phase, manufacturing and assembly phase, operation and maintenance phase, and recycle phase. The existing digital twin and turbomachinery are briefly reviewed. New digital twin technologies are discussed, including modelling, simulation, sensors, Industrial Internet of Things, big data, and AI technologies. Finally, the major challenges and opportunities of DT for turbomachinery are discussed.


2016 ◽  
Vol 5 (4) ◽  
pp. 71-76
Author(s):  
Попова ◽  
Olga Popova ◽  
Костенко ◽  
M. Kostenko ◽  
Сербиновский ◽  
...  

Relevance of development and deployment of automated systems for diagnostics of technical condition of power-generating boilers as systems providing safe and effective operation for high-risk facilities has been proved. On the example of an automated system for boilers technical diagnostics, developed by OJSC “The Taganrog Boiler-Making Works “Krasny Kotel’schik” and OJSC “EMAl’yans”, have been considered the purposes, such systems’ implementation ideology, ways of their technical enhancement. It has been shown that implementation of automated systems for diagnostics will allow move to a new safety level related to operation of such high-risk facilities as boilers. Engineering and organizational problems related to widespread implementation of diagnostic systems for high-risk facilities have been analyzed, both on the side of systems developers and producers, and on the side of operating entities. Legal problems related to diagnostics systems implementation have been separately allocated. Ways for solutions of designated problems as base which shall provide a possibility for enhancement of systems themselves and their priority implementation at energy entities have been offered.


2020 ◽  
pp. 67-96
Author(s):  
Henri Schildt

Modularity is the single most important concept related to software and digitalization, and one that every manager and many experts should understand. This chapter elaborates modularity as a central response to complexity that relates to the design, production, and operation of technological systems. Digital technologies increase modularity by facilitating the creation of clear interfaces between sub-systems and processes. This, in turn, allows complex systems to be split into autonomous parts that can be developed and installed independently. Modularity allows companies to scale up their activities more quickly and cheaply, while also facilitating innovation both within modules, by eliminating interdependencies that hamper development efforts, and at the architectural level, through the creative recombination of pre-existing modules.


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