Pub Date : 2023-03-24DOI: 10.29039/2308-0191-2022-11-1-8-8
A. Haydar, M. Zheleznov
The public and property risks associated with dam failures are very high, due to the location of settlements in areas of potential flooding, as well as the construction of new dams in less than ideal areas (in far from ideal territories). Due to the variety of risks that threaten dam structures and their surroundings, it is necessary to identify the possible causes and consequences of dam failure, and then develop a program to improve its safety. The monitoring of dam behavior/performance needs to start from the first days of construction and continue throughout the life cycle. The conducted study suggests a scientific methodology for the preparation of annual dam passports, which should contain all the data and information obtained from the date of the dam's creation until the issuance of the passport. The study also makes recommendations on the types of data and information that should be included in the dam passport, which will enable workers and experts in the field of dam life cycle monitoring, as well as responsible persons, to take the necessary measures and proactively resolve any problems that exist or may occur.
{"title":"Scientific methodology for compiling a dam passport during its life cycle based on engineering surveying and geodetic monitoring","authors":"A. Haydar, M. Zheleznov","doi":"10.29039/2308-0191-2022-11-1-8-8","DOIUrl":"https://doi.org/10.29039/2308-0191-2022-11-1-8-8","url":null,"abstract":"The public and property risks associated with dam failures are very high, due to the location of settlements in areas of potential flooding, as well as the construction of new dams in less than ideal areas (in far from ideal territories). \u0000Due to the variety of risks that threaten dam structures and their surroundings, it is necessary to identify the possible causes and consequences of dam failure, and then develop a program to improve its safety. The monitoring of dam behavior/performance needs to start from the first days of construction and continue throughout the life cycle. \u0000The conducted study suggests a scientific methodology for the preparation of annual dam passports, which should contain all the data and information obtained from the date of the dam's creation until the issuance of the passport. The study also makes recommendations on the types of data and information that should be included in the dam passport, which will enable workers and experts in the field of dam life cycle monitoring, as well as responsible persons, to take the necessary measures and proactively resolve any problems that exist or may occur.","PeriodicalId":40951,"journal":{"name":"Russian Journal of Building Construction and Architecture","volume":"29 1","pages":""},"PeriodicalIF":0.2,"publicationDate":"2023-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78885910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-24DOI: 10.29039/2308-0191-2022-11-1-2-2
L. Panasiuk, Vasilina Tyurina
The dynamic impact of moving vehicles can cause effects leading to landslide processes in slopes. Even insignificant displacements and speeds lead to a relative displacement of the layers. In this case, the physical and mechanical parameters of the soils that make up the slope can change significantly. For example, the decrease in adhesion C may be analogous to the decrease in the force of static friction by the transition to sliding friction. This is due to the fact that the mutual movement leads to slippage of small soil fragments relative to each other. The influence of vehicles on possible landslide processes increases with an obvious tendency to increase the speed and mass of the rolling stock. This, as well as the complex geological structure of the slopes and the need to take into account the reinforcing structures, leads to the need to build refined mechanical and mathematical models for the joint operation of road structures, the slope and the reinforcing structures in a dynamic formulation. The creation of a refined model of the slope geometry, the highway and the slope reinforcement structures are today solved mainly by the finite element method (FEM). The problem of constructing a numerical solution of such problems based on direct methods of integrating the equations of motion is topical. In this case, it is necessary to take into account the change in the distribution of masses when moving vehicles along the road at different speeds. In any of works of the author [1-6], an explicit absolutely stable scheme for integrating the equations of motion of the FEM was used to solve this problem. This article considers testing of the method by comparing numerical solutions with known ones for problems that are simpler in terms of topological structure. Namely, the comparison of the method with the solutions of the classical problem "movement of a massive load along a massive beam" was carried out. V.V. Bolotin's solution [7-9] was adopted as a "reference" one. Numerical solutions showed a high degree of convergence of results by the proposed and "reference" methods.
{"title":"Direct methods for modeling vehicle traffic in the surrounding of a reinforced slope","authors":"L. Panasiuk, Vasilina Tyurina","doi":"10.29039/2308-0191-2022-11-1-2-2","DOIUrl":"https://doi.org/10.29039/2308-0191-2022-11-1-2-2","url":null,"abstract":"The dynamic impact of moving vehicles can cause effects leading to landslide processes in slopes. Even insignificant displacements and speeds lead to a relative displacement of the layers. In this case, the physical and mechanical parameters of the soils that make up the slope can change significantly. For example, the decrease in adhesion C may be analogous to the decrease in the force of static friction by the transition to sliding friction. This is due to the fact that the mutual movement leads to slippage of small soil fragments relative to each other. The influence of vehicles on possible landslide processes increases with an obvious tendency to increase the speed and mass of the rolling stock. This, as well as the complex geological structure of the slopes and the need to take into account the reinforcing structures, leads to the need to build refined mechanical and mathematical models for the joint operation of road structures, the slope and the reinforcing structures in a dynamic formulation. \u0000The creation of a refined model of the slope geometry, the highway and the slope reinforcement structures are today solved mainly by the finite element method (FEM). The problem of constructing a numerical solution of such problems based on direct methods of integrating the equations of motion is topical. In this case, it is necessary to take into account the change in the distribution of masses when moving vehicles along the road at different speeds. \u0000In any of works of the author [1-6], an explicit absolutely stable scheme for integrating the equations of motion of the FEM was used to solve this problem. \u0000This article considers testing of the method by comparing numerical solutions with known ones for problems that are simpler in terms of topological structure. Namely, the comparison of the method with the solutions of the classical problem \"movement of a massive load along a massive beam\" was carried out. V.V. Bolotin's solution [7-9] was adopted as a \"reference\" one. Numerical solutions showed a high degree of convergence of results by the proposed and \"reference\" methods.","PeriodicalId":40951,"journal":{"name":"Russian Journal of Building Construction and Architecture","volume":"25 1","pages":""},"PeriodicalIF":0.2,"publicationDate":"2023-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91225600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-24DOI: 10.29039/2308-0191-2022-11-1-16-16
Yu.G. Losev, K. Losev
The subject area of the article is the life cycle of buildings and structures, where the object of research is information modeling of low-rise housing object-oriented automated technologies in construction. It is proposed and justified that the priority of the introduction of these technologies is the resource concentration on the production of low-rise housing construction facilities. Such objects can be individual and blocked houses up to 3 floors, attics, verandas, garages, saunas and other outbuildings on estate plots. First of all, the creation of such technologies should meet the regulatory requirements of environmental friendliness, economy, energy efficiency and comfort of the housing environment. A formalized model of the construction of these technologies in the creation of building systems and other parts of low-rise housing construction objects is proposed. The purpose of this article is to present specific requirements for the life cycle management information support of such objects in accordance with the construction of the K-processes in the proposed model. This construction formalizes a special representation of information models, which makes it possible to provide algorithmic justification of the regulatory requirements of the limit states of the structural parts of the above objects. The conclusion is made about the expediency of the life cycle stages automated technologies managing of buildings primarily through an object-oriented operating system for generating and managing automated processes for creating low-rise housing facilities.
{"title":"The information modeling features of object-oriented automated technologies in construction","authors":"Yu.G. Losev, K. Losev","doi":"10.29039/2308-0191-2022-11-1-16-16","DOIUrl":"https://doi.org/10.29039/2308-0191-2022-11-1-16-16","url":null,"abstract":"The subject area of the article is the life cycle of buildings and structures, where the object of research is information modeling of low-rise housing object-oriented automated technologies in construction. It is proposed and justified that the priority of the introduction of these technologies is the resource concentration on the production of low-rise housing construction facilities. Such objects can be individual and blocked houses up to 3 floors, attics, verandas, garages, saunas and other outbuildings on estate plots. First of all, the creation of such technologies should meet the regulatory requirements of environmental friendliness, economy, energy efficiency and comfort of the housing environment. A formalized model of the construction of these technologies in the creation of building systems and other parts of low-rise housing construction objects is proposed. The purpose of this article is to present specific requirements for the life cycle management information support of such objects in accordance with the construction of the K-processes in the proposed model. This construction formalizes a special representation of information models, which makes it possible to provide algorithmic justification of the regulatory requirements of the limit states of the structural parts of the above objects. The conclusion is made about the expediency of the life cycle stages automated technologies managing of buildings primarily through an object-oriented operating system for generating and managing automated processes for creating low-rise housing facilities.","PeriodicalId":40951,"journal":{"name":"Russian Journal of Building Construction and Architecture","volume":"43 1","pages":""},"PeriodicalIF":0.2,"publicationDate":"2023-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89845647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-24DOI: 10.29039/2308-0191-2022-11-1-18-18
Igor' Sorokin, Andrey Nastychuk
The purpose of this article is to analyze the theory and practice of applying machine learning methods in the construction industry. The research base was the national bibliographic database of scientific citation - RSCI. As a result of the analysis, it was revealed that the most common use of machine learning methods is in the oil and gas industry, and research in the construction industry is more of an overview.
{"title":"Analysis of the experience of applying machine learning methods in the russian construction industry","authors":"Igor' Sorokin, Andrey Nastychuk","doi":"10.29039/2308-0191-2022-11-1-18-18","DOIUrl":"https://doi.org/10.29039/2308-0191-2022-11-1-18-18","url":null,"abstract":"The purpose of this article is to analyze the theory and practice of applying machine learning methods in the construction industry. The research base was the national bibliographic database of scientific citation - RSCI. As a result of the analysis, it was revealed that the most common use of machine learning methods is in the oil and gas industry, and research in the construction industry is more of an overview.","PeriodicalId":40951,"journal":{"name":"Russian Journal of Building Construction and Architecture","volume":"37 1","pages":""},"PeriodicalIF":0.2,"publicationDate":"2023-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81080945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-24DOI: 10.29039/2308-0191-2022-11-1-3-3
Valeriia Antoniadi, D. Antoniadi
Today a regional program of capital repairs of common property in apartment buildings is being implemented, which is accompanied by the need to find new ways and technologies for performing work at the lowest cost, identifying reserves and parameters that have a direct impact on improving the efficiency of the manufacturability of the repair of common property of apartment buildings. The article discusses these solutions to improve efficiency based on the method of constructing the spatial and technological structure of individual technological processes consisting of several operations on the example of the repair of facades and roofs of an apartment building.
{"title":"Spatial and technological structure of individual technological processes during repair facades and roofs","authors":"Valeriia Antoniadi, D. Antoniadi","doi":"10.29039/2308-0191-2022-11-1-3-3","DOIUrl":"https://doi.org/10.29039/2308-0191-2022-11-1-3-3","url":null,"abstract":"Today a regional program of capital repairs of common property in apartment buildings is being implemented, which is accompanied by the need to find new ways and technologies for performing work at the lowest cost, identifying reserves and parameters that have a direct impact on improving the efficiency of the manufacturability of the repair of common property of apartment buildings. The article discusses these solutions to improve efficiency based on the method of constructing the spatial and technological structure of individual technological processes consisting of several operations on the example of the repair of facades and roofs of an apartment building.","PeriodicalId":40951,"journal":{"name":"Russian Journal of Building Construction and Architecture","volume":"12 1","pages":""},"PeriodicalIF":0.2,"publicationDate":"2023-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91143889","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-24DOI: 10.29039/2308-0191-2022-11-1-23-23
S. Evtushenko, M. Kuchumov
The article provides an analysis of techniques and devices used in monitoring and evaluating the parameters of the stress-strain state of load-bearing structures of buildings and structures. The prototype and the principle of operation of converters for measuring linear displacements under dynamic loads are described. The description of a new innovative linear sensor developed on the basis of an "electro-chemical converter" is given. At the end of the article, the tasks and directions of further research are given.
{"title":"Linear displacement sensor for monitoring engineering structures of buildings and structures","authors":"S. Evtushenko, M. Kuchumov","doi":"10.29039/2308-0191-2022-11-1-23-23","DOIUrl":"https://doi.org/10.29039/2308-0191-2022-11-1-23-23","url":null,"abstract":"The article provides an analysis of techniques and devices used in monitoring and evaluating the parameters of the stress-strain state of load-bearing structures of buildings and structures. The prototype and the principle of operation of converters for measuring linear displacements under dynamic loads are described. The description of a new innovative linear sensor developed on the basis of an \"electro-chemical converter\" is given. At the end of the article, the tasks and directions of further research are given.","PeriodicalId":40951,"journal":{"name":"Russian Journal of Building Construction and Architecture","volume":"17 1","pages":""},"PeriodicalIF":0.2,"publicationDate":"2023-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82496007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-24DOI: 10.29039/2308-0191-2022-11-1-19-19
Irina Pilyay
The purpose of this article is to determine whether various artificial intelligence models can be used to estimate the time and cost of a construction project. Construction projects are complex and time-consuming, they include many factors that can affect the overall cost and duration of the project. Accurately estimating the time and cost of a construction project is critical to project management and planning. However, traditional methods of estimating these factors are often inefficient because of their dependence on historical data and limited scope. Artificial intelligence (AI) has emerged as a potential solution for improving construction project estimating. AI models can analyze a myriad of data, including historical project data, weather data, labor, and material costs, to provide more accurate predictions. Regression algorithms, in particular, have been shown to be effective in predicting project completion dates and costs based on various input factors. One advantage of using AI to evaluate construction projects is that it can account for complex and dynamic factors that traditional methods often overlook. For example, weather conditions can have a significant impact on construction projects, and AI models can incorporate this factor into their predictions. AI can also analyze data in real time, allowing for more timely adjustments to project plans and budgets. However, using AI to evaluate construction projects also presents some challenges. One potential challenge is the quality and reliability of the data used to train the models. AI models are only as good as the data they are trained on, so it is important to ensure that the data used is accurate and complete. In addition, AI models can be complex and require expertise to develop and maintain.
{"title":"Using artificial intelligence systems to estimate the time and cost of a construction project","authors":"Irina Pilyay","doi":"10.29039/2308-0191-2022-11-1-19-19","DOIUrl":"https://doi.org/10.29039/2308-0191-2022-11-1-19-19","url":null,"abstract":"The purpose of this article is to determine whether various artificial intelligence models can be used to estimate the time and cost of a construction project. Construction projects are complex and time-consuming, they include many factors that can affect the overall cost and duration of the project. Accurately estimating the time and cost of a construction project is critical to project management and planning. However, traditional methods of estimating these factors are often inefficient because of their dependence on historical data and limited scope. Artificial intelligence (AI) has emerged as a potential solution for improving construction project estimating. AI models can analyze a myriad of data, including historical project data, weather data, labor, and material costs, to provide more accurate predictions. Regression algorithms, in particular, have been shown to be effective in predicting project completion dates and costs based on various input factors. One advantage of using AI to evaluate construction projects is that it can account for complex and dynamic factors that traditional methods often overlook. For example, weather conditions can have a significant impact on construction projects, and AI models can incorporate this factor into their predictions. AI can also analyze data in real time, allowing for more timely adjustments to project plans and budgets. However, using AI to evaluate construction projects also presents some challenges. One potential challenge is the quality and reliability of the data used to train the models. AI models are only as good as the data they are trained on, so it is important to ensure that the data used is accurate and complete. In addition, AI models can be complex and require expertise to develop and maintain.","PeriodicalId":40951,"journal":{"name":"Russian Journal of Building Construction and Architecture","volume":"56 1","pages":""},"PeriodicalIF":0.2,"publicationDate":"2023-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77861803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-24DOI: 10.29039/2308-0191-2022-11-1-1-1
L. Mailyan, P. Shilov, A. Shilov
Statement of the problem. The pace of development of modern construction creates the need to develop new technologies that make it possible to impart special properties to classical building materials, allowing them to expand the range of their application. The developed technology of mechanical distribution and orientation along the fiber fibers acting in the structure of tensile stresses in the body of linear fiber-reinforced concrete and fiber-reinforced concrete elements can provide more efficient use of fiber-dispersed reinforcement by including more fibers in the work of the section. It is necessary to develop a program of experimental studies of the strength and deformation properties of fiber-reinforced concrete in order to test the technology of laying fiber-reinforced concrete mixture developed by the authors. Results. A program of experimental studies of the strength and deformation characteristics of fiber-reinforced concrete, manufactured using the mechanical technology for creating aggregated oriented fiber reinforcement, is presented. The results of experiments carried out in accordance with the developed program are also presented. Conclusions. The presented program of experimental studies of the characteristics of fiber-reinforced concrete, made according to the technology developed by the authors for the mechanical creation of aggregated oriented fiber reinforcement, became the basis for experimental studies, the purpose of which was to test the technology developed by the authors for the mechanical laying of a fiber-reinforced concrete mixture with a uniform distribution of fiber fibers in a concrete matrix, as well as obtaining new data on the mechanical and deformative properties of such fiber-reinforced concrete.
{"title":"Program and results of experimental studies of the characteristics of fiber concrete produced by the mechanical technology of creating aggregate oriented fiber reinforcement","authors":"L. Mailyan, P. Shilov, A. Shilov","doi":"10.29039/2308-0191-2022-11-1-1-1","DOIUrl":"https://doi.org/10.29039/2308-0191-2022-11-1-1-1","url":null,"abstract":"Statement of the problem. The pace of development of modern construction creates the need to develop new technologies that make it possible to impart special properties to classical building materials, allowing them to expand the range of their application. The developed technology of mechanical distribution and orientation along the fiber fibers acting in the structure of tensile stresses in the body of linear fiber-reinforced concrete and fiber-reinforced concrete elements can provide more efficient use of fiber-dispersed reinforcement by including more fibers in the work of the section. It is necessary to develop a program of experimental studies of the strength and deformation properties of fiber-reinforced concrete in order to test the technology of laying fiber-reinforced concrete mixture developed by the authors. \u0000Results. A program of experimental studies of the strength and deformation characteristics of fiber-reinforced concrete, manufactured using the mechanical technology for creating aggregated oriented fiber reinforcement, is presented. The results of experiments carried out in accordance with the developed program are also presented. \u0000Conclusions. The presented program of experimental studies of the characteristics of fiber-reinforced concrete, made according to the technology developed by the authors for the mechanical creation of aggregated oriented fiber reinforcement, became the basis for experimental studies, the purpose of which was to test the technology developed by the authors for the mechanical laying of a fiber-reinforced concrete mixture with a uniform distribution of fiber fibers in a concrete matrix, as well as obtaining new data on the mechanical and deformative properties of such fiber-reinforced concrete.","PeriodicalId":40951,"journal":{"name":"Russian Journal of Building Construction and Architecture","volume":"5 1","pages":""},"PeriodicalIF":0.2,"publicationDate":"2023-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79104675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-24DOI: 10.29039/2308-0191-2022-11-1-13-13
S. Martishin
Optimization methods have been used to solve many problems in construction. Such well-known problems as the transport problem, some problems of structural mechanics, the problem of the optimal location of objects on the construction site, the assignment of the composition of construction teams in the production of construction and installation works, the tasks of technological equipment and a number of others can be reduced to linear programming problems. An algorithm for checking the compatibility of a system of n linear inequalities in the space of real numbers R^d is given. The algorithm is based on the sequential construction of hyperplanes in the space R^(d+2). The application of this algorithm for solving a linear programming problem is considered.
{"title":"Use Of The Developed Algorithm For Checking The Compatibility Of A System Of Linear Inequalities For Solving Optimization Problems In Construction","authors":"S. Martishin","doi":"10.29039/2308-0191-2022-11-1-13-13","DOIUrl":"https://doi.org/10.29039/2308-0191-2022-11-1-13-13","url":null,"abstract":"Optimization methods have been used to solve many problems in construction. Such well-known problems as the transport problem, some problems of structural mechanics, the problem of the optimal location of objects on the construction site, the assignment of the composition of construction teams in the production of construction and installation works, the tasks of technological equipment and a number of others can be reduced to linear programming problems. An algorithm for checking the compatibility of a system of n linear inequalities in the space of real numbers R^d is given. The algorithm is based on the sequential construction of hyperplanes in the space R^(d+2). The application of this algorithm for solving a linear programming problem is considered.","PeriodicalId":40951,"journal":{"name":"Russian Journal of Building Construction and Architecture","volume":"16 1","pages":""},"PeriodicalIF":0.2,"publicationDate":"2023-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82859127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-24DOI: 10.29039/2308-0191-2022-11-1-20-20
A. Pilyay
This paper focuses on the problem of automatic defect detection in building materials and the use of deep learning and pattern recognition to solve this problem. The paper describes various methods that can be used to solve this problem, including transfer learning, data augmentation, and fine-tuning, and discusses the advantages and limitations of each approach. The article also describes a convolutional neural network (CNN) architecture that can be used to detect defects in building materials, specifying the purpose and functionality of each layer. In addition, the article presents the mathematical formulas necessary for this approach, including the convolution operation, the ReLU activation function, the maximum association operation, the dropout operation, and the sigmoid activation function. Overall, the paper highlights the potential of deep learning and pattern recognition in building materials quality control and the benefits that automated systems can bring to the construction industry. The use of these technologies can increase efficiency, reduce costs, and improve the quality of construction projects, ultimately leading to safer and more durable structures.
{"title":"Detection of defects in building materials using artificial intelligence systems","authors":"A. Pilyay","doi":"10.29039/2308-0191-2022-11-1-20-20","DOIUrl":"https://doi.org/10.29039/2308-0191-2022-11-1-20-20","url":null,"abstract":"This paper focuses on the problem of automatic defect detection in building materials and the use of deep learning and pattern recognition to solve this problem. The paper describes various methods that can be used to solve this problem, including transfer learning, data augmentation, and fine-tuning, and discusses the advantages and limitations of each approach. The article also describes a convolutional neural network (CNN) architecture that can be used to detect defects in building materials, specifying the purpose and functionality of each layer. In addition, the article presents the mathematical formulas necessary for this approach, including the convolution operation, the ReLU activation function, the maximum association operation, the dropout operation, and the sigmoid activation function. Overall, the paper highlights the potential of deep learning and pattern recognition in building materials quality control and the benefits that automated systems can bring to the construction industry. The use of these technologies can increase efficiency, reduce costs, and improve the quality of construction projects, ultimately leading to safer and more durable structures.","PeriodicalId":40951,"journal":{"name":"Russian Journal of Building Construction and Architecture","volume":"127 1","pages":""},"PeriodicalIF":0.2,"publicationDate":"2023-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76578082","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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