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1

Abdallah, Wafaa, Jacqueline Saliba, Ziubir-Mehdi Sbartaï, Marwan Sadek, Fadi Hage Chehade, and S. Mohammed ElAchachi. "Reliability analysis of non-destructive testing models within a probabilistic approach." MATEC Web of Conferences 281 (2019): 04003. http://dx.doi.org/10.1051/matecconf/201928104003.

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The diagnosis of reinforced concrete is essential to detect the degradation and thus maintain the structural performance of civil engineering structures. This paper aims to establish a mathematical relationship between the ultrasonic pulse velocity UPV (considered as an observable variable) and two concrete properties indicators (compressive strength fc and water content W) within a probabilistic framework. Synthetic simulations are proposed to derive a conversion model between the statistical properties of the output and the input parameters for a reinforced concrete structure by taking into
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2

Gao, Feng, Gui Ling Liu, and Qing Guo Huang. "Ultrasonic Non-Destruction Detecting Method for Concrete Compression Strength." Advanced Materials Research 724-725 (August 2013): 1585–88. http://dx.doi.org/10.4028/www.scientific.net/amr.724-725.1585.

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Regional materials and mixing ratio of Datong area are used to make the concrete testing blocks. The rebounding and ultrasonic non-destruction detecting testing for concrete strength were done by using the six types of strength grades concrete standard specimens according to the technical regulation. On the basis of regression analysis with least squares technique, the mathematical models between rebounding values, ultrasonic velocity values, rebounding-ultrasonic method values and concrete compression strength were set up by three kinds of functions’ regression analysis. The error analysis sh
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3

Gao, Feng, Gui Ling Liu, and Feng Xian Wang. "Concrete Compression Strength Non-Destruction Detecting with Rebounding and Ultrasonic Synthesis Method." Applied Mechanics and Materials 357-360 (August 2013): 1488–91. http://dx.doi.org/10.4028/www.scientific.net/amm.357-360.1488.

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Regional materials and mixing ratio in Datong region are used to make the concrete testing blocks. The rebounding and ultrasonic non-destruction detecting testing for concrete compression strength were done by using the six types of strength grades concrete standard specimens according to the technical regulation. By using the common software Matlab7.0, the mathematical models between rebounding values, ultrasonic velocity values, rebounding- ultrasonic method values and concrete compression strength were set up by three kinds of functions’ regression analysis. The error analysis showed that t
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4

Sarsam, Saad I. "Modeling the Thermal Behavior of the Viscoelastic Properties of Asphalt Concrete." Britain International of Exact Sciences (BIoEx) Journal 4, no. 2 (September 2, 2022): 79–91. http://dx.doi.org/10.33258/bioex.v4i2.729.

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The viscoelastic properties of asphalt concrete are susceptible to the variation in the pavement temperature. In the present work, asphalt concrete beam specimens were prepared at optimum binder content and tested under repeated flexural stresses for fatigue life. Three testing temperature were implemented (5, 20, and 30) ℃. The variation in the phase angle, dissipated energy, flexural stiffness, and permanent deformation due to the testing temperatures were monitored and modeled. It was concluded that the viscoelastic properties of asphalt concrete are highly sensitive to the variation in tes
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5

Andjelkovic, Vladimir, Zarko Lazarevic, and Velimir Nedovic. "Application of analogous models in civil engineering." Facta universitatis - series: Architecture and Civil Engineering 9, no. 3 (2011): 395–405. http://dx.doi.org/10.2298/fuace1103395a.

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The paper describes the results of making the mathematical and physical models of the authors, by using analogous methods and materials. There is the mathematical rock mass deformability model as a base for foundation engineering a concrete arch dam and the physical rock slope model which was tested by loading until failure and the results were compared with the calculation procedure. In the first example the correlation is established between the static and the analogous dynamic in situ investigations for creating the mathematical rock mass deformability model. In the second example there is
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6

Zainal, S. M. Iqbal S., Farzad Hejazi, Farah N. A. Abd Aziz, and Mohd Saleh Jaafar. "Constitutive Modeling of New Synthetic Hybrid Fibers Reinforced Concrete from Experimental Testing in Uniaxial Compression and Tension." Crystals 10, no. 10 (October 1, 2020): 885. http://dx.doi.org/10.3390/cryst10100885.

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Hybridization of fibers in concrete yields a variety of applications due to its benefits compared to conventional concrete or concrete with single type-fiber. However, the Finite Element (FE) modeling of these new materials for numerical analyses are very challenging due to the lack of analytical data for these specific materials. Therefore, an attempt has been made to develop Hybrid Fiber Reinforced Concrete (HyFRC) materials with High Range Water-Reducing Admixture (HRWRA) during the concrete mixing process and conduct experimental study to evaluate the behavior of the proposed materials. Co
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7

Bouaanani, Najib, Patrick Paultre, and Jean Proulx. "Dynamic response of a concrete dam impounding an ice-covered reservoir: Part I. Mathematical modelling." Canadian Journal of Civil Engineering 31, no. 6 (December 1, 2004): 956–64. http://dx.doi.org/10.1139/l04-075.

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This paper examines the dynamic response of a concrete dam impounding an ice-covered reservoir and subjected to forced-vibration testing. The analytical research presented is a follow-up to an extensive dynamic testing program carried out on a 84-m high concrete gravity dam located in northeastern Quebec, Canada, under harsh winter conditions, including a 1.0- to 1.5-m-thick ice sheet covering the reservoir. One of the major challenges encountered when analyzing ice-dam-reservoir-foundation interaction is modelling the complex nature of the ice and the boundary conditions governing reservoir m
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8

Amin, Muhammad Nasir, Kaffayatullah Khan, Fahid Aslam, Muhammad Izhar Shah, Muhammad Faisal Javed, Muhammad Ali Musarat, and Kseniia Usanova. "Multigene Expression Programming Based Forecasting the Hardened Properties of Sustainable Bagasse Ash Concrete." Materials 14, no. 19 (September 28, 2021): 5659. http://dx.doi.org/10.3390/ma14195659.

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The application of multiphysics models and soft computing techniques is gaining enormous attention in the construction sector due to the development of various types of concrete. In this research, an improved form of supervised machine learning, i.e., multigene expression programming (MEP), has been used to propose models for the compressive strength (fc′), splitting tensile strength (fSTS), and flexural strength (fFS) of sustainable bagasse ash concrete (BAC). The training and testing of the proposed models have been accomplished by developing a reliable and comprehensive database from publis
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9

Souza, L. A. F. de, and R. D. Machado. "Numerical-computational analysis of reinforced concrete structures considering the damage, fracture and failure criterion." Revista IBRACON de Estruturas e Materiais 6, no. 1 (February 2013): 101–20. http://dx.doi.org/10.1590/s1983-41952013000100006.

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The experimental results of testing structures or structural parts are limited and, sometimes, difficult to interpret. Thus, the development of mathematical-numerical models is needed to complement the experimental analysis and allow the generalization of results for different structures and types of loading. This article makes two computational studies of reinforced concrete structures problems found in the literature, using the Finite Element Method. In these analyses, the concrete is simulated with the damage classical model proposed by Mazars and the steel by a bilinear elastoplastic const
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Meruane, Viviana, Sergio J. Yanez, Leonel Quinteros, and Erick I. Saavedra Flores. "Damage Detection in Steel–Concrete Composite Structures by Impact Hammer Modal Testing and Experimental Validation." Sensors 22, no. 10 (May 20, 2022): 3874. http://dx.doi.org/10.3390/s22103874.

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Steel–concrete composite systems are an efficient alternative to mid- and high-rise building structures because of their high strength-to-weight ratio when compared to traditional concrete or steel constructive systems. Nevertheless, composite structural systems are susceptible to damage due to, for example, deficient construction processes, errors in design and detailing, steel corrosion, and the drying shrinkage of concrete. As a consequence, the overall strength of the structure may be significantly decreased. In view of the relevance of this subject, the present paper addresses the damage
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Sococol, Ion, Petru Mihai, Ionuţ-Ovidiu Toma, Ioana Olteanudonţov, and Vasile-Mircea Venghiac. "Stress-Strain Relation Laws for Concrete and Steel Reinforcement Used in Non-Linear Static Analytical Studies of the Moment Resisting Reinforced Concrete (RC) Frame Models." Bulletin of the Polytechnic Institute of Iași. Construction. Architecture Section 67, no. 1 (March 1, 2021): 17–29. http://dx.doi.org/10.2478/bipca-2021-0002.

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Abstract Following the previous analytical studies performed with ATENA software for a series of RC moment resisting frame models, it were used in the pre-processing stage the stress-strain relation laws for concrete and steel reinforcement. These mathematical and graphical relations represent a necessity in the current conditions of numerical analysis and imply a correct knowledge of the deformation mode of the „reinforced concrete” which is a composite material. Thus, it is desired through this research paper the theoretical exposition of: equivalent uniaxial law for concrete, biaxial compre
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Dey, Alinda, Akshay Vijay Vastrad, Mattia Francesco Bado, Aleksandr Sokolov, and Gintaris Kaklauskas. "Long-Term Concrete Shrinkage Influence on the Performance of Reinforced Concrete Structures." Materials 14, no. 2 (January 6, 2021): 254. http://dx.doi.org/10.3390/ma14020254.

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The contribution of concrete to the tensile stiffness (tension stiffening) of a reinforced concrete (RC) member is a key governing factor for structural serviceability analyses. However, among the current tension stiffening models, few consider the effect brought forth by concrete shrinkage, and none studies take account of the effect for very long-term shrinkage. The present work intends to tackle this exact issue by testing multiple RC tensile elements (with different bar diameters and reinforcement ratios) after a five-year shrinking time period. The experimental deformative and tension sti
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13

Bolborea, Bogdan, Sorin Dan, Cornelia Baeră, Aurelian Gruin, Felicia Enache, and Ion Aurel Perianu. "Study Regarding the Evaluation of Prediction Models for Determining the Concrete Compressive Strength Using Non-Destructive Testing (NDT) Data: Validation Stage." Solid State Phenomena 332 (May 30, 2022): 173–81. http://dx.doi.org/10.4028/p-5w046c.

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In the evaluation of an existing reinforced concrete structure, a fundamental issue is determining the concrete compressive strength as accurately as possible. This process can be conducted by using destructive and non-destructive methods. The destructive method presumes a limited number of cores extracted from the concrete structure. A higher number of cores would affect the structural safety and is time and resource consuming. Therefore, the conclusions drawn using exclusively this method can also generate errors in correctly estimating the load bearing capacity of a structure, thus leading
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14

Murashkin, Vasily G. "Features of Nonlinear Deformation of Concrete." Scientific journal “ACADEMIA. ARCHITECTURE AND CONSTRUCTION”, no. 1 (March 18, 2019): 128–32. http://dx.doi.org/10.22337/2077-9038-2019-1-128-132.

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In most studies, when the problem of determining a nonlinear model of deformation of structural concrete in normal environment, or experienced a variety of destructive (aggressive, temperature, etc.) exposure, using individual mathematical apparatus and software. The main criterion in these works for the construction of the deformation model of concrete was a unique relationship "strength - modulus of elasticity". Apply the developed model for another type of concrete or experienced a destructive impact was erroneous. However, not all features of concrete deformation in the construction of mod
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Buchta, Vojtech. "Experimental Testing the Interaction of Fiber-Concrete Foundation Slab and Subsoil and Compare the Results with Numerical Models." Advanced Materials Research 1020 (October 2014): 227–32. http://dx.doi.org/10.4028/www.scientific.net/amr.1020.227.

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We solve interaction between the foundation base and the subsoil in civil engineering quite often. For the determination of stress in foundation structure is needed to determine the influence of the stiffness respectively pliability of subsoil to structural internal forces, and vice versa, how the stiffness of the foundation structure affects the resulting subsidence. It is necessary to compare the mathematical models with the actual behavior of the real structure. In 2013 was realised static load on testing equipment in the campus of Faculty of Civil Engineering, VSB–TU Ostrava. Dimensions of
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16

Zambon, Ivan, Anja Vidović, and Alfred Strauss. "Reliability of Existing Concrete Structures Determined with Physical Models - Carbonation Induced Corrosion." Solid State Phenomena 259 (May 2017): 255–60. http://dx.doi.org/10.4028/www.scientific.net/ssp.259.255.

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The main goal of transportation infrastructure management is to optimize the use of infrastructure in the most beneficiary way while respecting the predefined requirements. One of the crucial parts in management strategy is the prediction of behaviour of vital transportation elements. Used prediction models should accurately describe the process of degradation and allow forecasting of structural condition by considering environment, usage and maintenance actions. Deterioration models can be divided into mathematical (statistical), physical and empirical models. Statistical models are based on
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17

Mohamad, Baylasan, Soleman Alamoudi, and Abd alrahman Issa. "Prediction of Mechanical Properties of Local Concrete in Compression Using Artificial Neural Networks." Association of Arab Universities Journal of Engineering Sciences 27, no. 1 (March 31, 2020): 105–21. http://dx.doi.org/10.33261/jaaru.2019.27.1.012.

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Mechanical properties of concrete are highly dependent on the local materials used in its preparation. experiments on ready mix concrete in our region illustrate the actual behavior of concrete produced by local materials. Six standard cylinders (D=150mm, H=300mm) were casted of most ready mix concrete in central area in Syria (13 of them) covering a wide range of compressive strength . Tests were carried out using a testing machine which gives the applied force values and the corresponding displacement simultaneously until failure. The mean curves representing the (stress-strain) relationship
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18

Bouaanani, Najib, Patrick Paultre, and Jean Proulx. "Dynamic response of a concrete dam impounding an ice-covered reservoir: Part II. Parametric and numerical study." Canadian Journal of Civil Engineering 31, no. 6 (December 1, 2004): 965–76. http://dx.doi.org/10.1139/l04-076.

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This paper presents a numerical and parametric study of the effect of an ice cover on the dynamic response of a concrete dam using the approach proposed in the companion paper in this issue. The method was programmed and implemented in a finite element code specialized for the seismic analysis of concrete dams. The 84-m-high Outardes 3 concrete gravity dam in northeastern Quebec was chosen as a model for this research. Some basic aspects of the numerical model are established in this paper and we show that the ice cover affects the dynamic response of the ice–dam–reservoir system. Main feature
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19

Serbenyuk, Symon. "On Some Aspects of the Examination in Econometrics." Journal of Vasyl Stefanyk Precarpathian National University 8, no. 3 (November 3, 2021): 7–16. http://dx.doi.org/10.15330/jpnu.8.3.7-16.

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Teaching econometrics has been studied by a number of researchers, however, there is little information available on the quality of examination and on simplification of tests for demonstration the high-quality knowledge by students in concrete topics of econometrics or mathematical economics.One can note the following main goals of studying the basics of mathematical economics or econometrics by students: forming the notions of mathematical model and of modeling economic processes and phenomena; understanding a role of using mathematical models for economics research and obtaining scientific r
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20

Ďurinová, Michaela, and Matúš Kozel. "Non-Destructive Evaluation of Asphalt Concrete Materials Performance During their Life Cycle Based on Accelerated Pavement Testing." Civil and Environmental Engineering 17, no. 2 (December 1, 2021): 621–28. http://dx.doi.org/10.2478/cee-2021-0062.

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Abstract The characteristics of asphalt concrete materials (ACM) composing the surfacing layer of a bituminous pavement must fulfil a requirement to maintain a level of operational capability demanded by national standards of a given country. ACM’s are a subject to significant stress caused by traffic load and climate conditions, this leads to changes in their physico-mechanical properties. The loss of physico-mechanical properties causes deterioration of road surface characteristics. Since these changes occur throughout the ACM’s life cycle, it is necessary to know the deterioration curves re
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21

Bekheet, Wael, Yasser Hassan, and AO Abd El Halim. "Modelling in situ shear strength testing of asphalt concrete pavements using the finite element method." Canadian Journal of Civil Engineering 28, no. 3 (June 1, 2001): 541–44. http://dx.doi.org/10.1139/l01-011.

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Rutting is one of the well-recognized road surface distresses in asphalt concrete pavements that can affect the pavement service life and traffic safety. Previous studies have shown that the shear strength of asphalt concrete pavements is a fundamental property in resisting rutting. Laboratory investigation has shown that improving the shear strength of the asphalt concrete mix can reduce surface rutting by more than 30%, and the SUPERPAVE mix design method has acknowledged the importance of the shear resistance of asphalt mixes as a fundamental property in resisting deformation of the pavemen
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Epure, Dănuţ-Tiberius, Adrian Micu, Irina Susanu, and Angela-Eliza Micu. "Model for implementing a reengineering solution of the production process in a printing house." Analele Universitatii "Ovidius" Constanta - Seria Matematica 21, no. 1 (March 1, 2013): 83–99. http://dx.doi.org/10.2478/auom-2013-0005.

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Abstract The main objective of the present paper is to highlight the importance and impact of the concept of reengineering, both by identifying certain opportunities to improve the performance of Romanian printing companies and some strategies of total redesign of the production process based on highlighting some of their effective combinations as well as the integration of some proper mathematical models. First of all, this study will focus on achieving results that are based on identifying some specific problems that companies have faced at a certain point and on concrete problem solving sol
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23

Xing, Feng, Xiang Yong Guo, Fa Guang Leng, Kun He Fang, and Ren Yu Zhang. "Study on Distribution Feature of Fracture Toughness of Interface between Coarse Aggregate and Hardened Cement Mortar in Concrete." Key Engineering Materials 302-303 (January 2006): 514–20. http://dx.doi.org/10.4028/www.scientific.net/kem.302-303.514.

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Based on available test data and fracture criterion, by using probability fracture mechanics and mathematical statistical method, the distribution feature of fracture toughness, IC K , of interface between coarse aggregate and hardened cement mortar is analyzed, and a method of defining the least number of specimens for testing fracture toughness is provided. Weibull distribution or lognormal distribution is often used to analyze lifetime problem, so the two models are preferentially considered. The analysis shows that the fracture toughness conforms to lognormal distribution with degree of co
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Gribanova, Ekaterina. "Elaboration of an Algorithm for Solving Hierarchical Inverse Problems in Applied Economics." Mathematics 10, no. 15 (August 5, 2022): 2779. http://dx.doi.org/10.3390/math10152779.

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One of the key tools in an organization’s performance management is the goal tree, which is used for solving both direct and inverse problems. This research deals with goal setting based on a model of the future by presenting the goal and subgoal in the form of concrete quantitative and qualitative characteristics and stepwise formation of factors. A stepwise solution to a factor generation problem is considered on the basis of mathematical symmetry. This paper displays an algorithm for solving hierarchical inverse problems with constraints, which is based on recursively traversing the vertice
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Martynov, V., O. Martynova, S. Makarova, and O. Vietokh. "METHOD FOR CALCULATING THE COMPOSITION OF CELLULAR CONCRETE." Bulletin of Odessa State Academy of Civil Engineering and Architecture, no. 83 (June 4, 2021): 77–85. http://dx.doi.org/10.31650/2415-377x-2021-83-77-85.

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The analysis of existing methods for calculating concrete compositions was carried out. The characteristics and sequence of the calculation-experimental and experimental-calculation methods for the selection of concrete compositions are provided. The advantages and disadvantages of each of the methods are described. These methods are generalized by the general systemic cycle PDCA (Deming cycle), which is determined by the sequence of actions: P (plan) ‒ D (do) ‒ C (check) ‒ A (Action). It was established that for calculating the compositions of the cellular method there is no universal method,
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Yukun, Hu, Yao Jitao, Ma Pengfei, Cheng Zhengjie, and Zhang Luyang. "Comment and Improvement on the Methods for Deriving Structural Resistance Design Value." Mathematical Problems in Engineering 2022 (October 7, 2022): 1–13. http://dx.doi.org/10.1155/2022/2198299.

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With the increasing emphasis on sustainability, more and more environmentally friendly new materials and structures are developed, but they are difficult to be applied in engineering practice due to the lack of mature force resistance models. The design assisted by the testing method proposed by ISO2394:2015 and EN1990:2002 can solve this problem effectively. The aim of this paper was to analyze the characteristics of the method from a mathematical and statistical point of view based on the data and to suggest improvements. The resistance of each concrete member was derived by the design assis
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Krus, Yurii. "CONNECTION BETWEEN STRESSES AND STRAINS OF CONCRETE UNDER DIFFERENT FORCE MODES OF SHORT-TERM AXIAL COMPRESSION." Technical Sciences and Technologies, no. 1(27) (2022): 184–98. http://dx.doi.org/10.25140/2411-5363-2022-1(27)-184-198.

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Modern design of bended reinforced concrete constructions uses analytical methods of calculation involving deformative models, the main tool of which is the actual diagram of concrete state, which establishes the connection between its stressesband relative strains bin compressed and tensile zones of the cross-section. Currently, there is no a unified methodics of establishing such a diagram, and researchers obtain it by indirect methods that differ from each other. That is why the graph-analytical building and mathematical description of the functional dependence of the diagram of concrete
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Krantovska, Olena, Mykola Petrov, Liubov Ksonshkevych, Matija Orešković, Sergii Synii, and Nelli Іsmailovа. "Numerical simulation of the stress-strain state of complex-reinforced elements." Tehnički glasnik 13, no. 2 (June 17, 2019): 110–15. http://dx.doi.org/10.31803/tg-20190417112619.

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The article describes a developed technique of a numerical simulation of the stress-strain state of complex-reinforced elements, which allows you to create models of double-span continuous. The performed experimental and theoretical studies allowed us to carry out the testing of the developed design model and to justify the reliability of the proposed numerical simulation methodology. The results of the experimental studies were compared with those of the theoretical studies. The theoretical calculus algorithm was developed by using the finite element method. Theoretical calculations were perf
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Al-Abdaly, Nadia Moneem, Salwa R. Al-Taai, Hamza Imran, and Majed Ibrahim. "Development of prediction model of steel fiber-reinforced concrete compressive strength using random forest algorithm combined with hyperparameter tuning and k-fold cross-validation." Eastern-European Journal of Enterprise Technologies 5, no. 7 (113) (October 29, 2021): 59–65. http://dx.doi.org/10.15587/1729-4061.2021.242986.

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Because of the incorporation of discontinuous fibers, steel fiber-reinforced concrete (SFRC) outperforms regular concrete. However, due to its complexity and limited available data, the development of SFRC strength prediction techniques is still in its infancy when compared to that of standard concrete. In this paper, the compressive strength of steel fiber-reinforced concrete was predicted from different variables using the Random forest model. Case studies of 133 samples were used for this aim. To design and validate the models, we generated training and testing datasets. The proposed models
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Khan, Kaffayatullah, Mudassir Iqbal, Muhammad Raheel, Muhammad Nasir Amin, Anas Abdulalim Alabdullah, Abdullah M. Abu-Arab, and Fazal E. Jalal. "Prediction of Axial Capacity of Concrete Filled Steel Tubes Using Gene Expression Programming." Materials 15, no. 19 (October 7, 2022): 6969. http://dx.doi.org/10.3390/ma15196969.

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The safety and economy of an infrastructure project depends on the material and design equations used to simulate the performance of a particular member. A variety of materials can be used in conjunction to achieve a composite action, such as a hollow steel section filled with concrete, which can be successfully utilized in the form of an axially loaded member. This study aims to model the ultimate compressive strength (Pu) of concrete-filled hollow steel sections (CFSS) by formulating a mathematical expression using gene expression programming (GEP). A total of 149 datapoints were obtained fr
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NETESA, M. I., A. V. KRASNYUK, A. M. NETESA, and N. A. NIKIFOROVA. "OPTIMIZATION OF CONCRETE COMPOSITIONS WITH SECONDARY INDUSTRIAL PRODUCTS." Bridges and tunnels: Theory, Research, Practice, no. 19 (July 27, 2021): 51–61. http://dx.doi.org/10.15802/bttrp2021/233874.

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Purpose. Analyze scientific publications on the existing problems of environmental pollution by secondary industrial products. Search for ways to solve these issues through the rational use of concrete in construction with additives of secondary industrial products, especially fine-grained ones. Determination of rational compositions of medium-strength concrete with the minimum required consumption of cement and filler from iron ore dressing wastes of mining and processing plants. Methodology. To achieve this goal, the experience of improving the structure and properties of concrete by introdu
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Vandamme, Matthieu. "Two models based on local microscopic relaxations to explain long-term basic creep of concrete." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 474, no. 2220 (December 2018): 20180477. http://dx.doi.org/10.1098/rspa.2018.0477.

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In this study, we propose an exhaustion model and an adapted work-hardening model to explain the long-term basic creep of concrete. In both models, the macroscopic creep strain originates from local microscopic relaxations. The two models differ in how the activation energies of those relaxations are distributed and evolve during the creep process. With those models, at least up to a few dozen MPa, the applied stress must not modify the rate at which those relaxations occur, but only enables the manifestation of each local microscopic relaxation into an infinitesimal increment of basic creep s
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Khan, Kaffayatullah, Babatunde Abiodun Salami, Arshad Jamal, Muhammad Nasir Amin, Muhammad Usman, Majdi Adel Al-Faiad, Abdullah M. Abu-Arab, and Mudassir Iqbal. "Prediction Models for Estimating Compressive Strength of Concrete Made of Manufactured Sand Using Gene Expression Programming Model." Materials 15, no. 17 (August 24, 2022): 5823. http://dx.doi.org/10.3390/ma15175823.

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The depletion of natural resources of river sand and its availability issues as a construction material compelled the researchers to use manufactured sand. This study investigates the compressive strength of concrete made of manufactured sand as a partial replacement of normal sand. The prediction model, i.e., gene expression programming (GEP), was used to estimate the compressive strength of manufactured sand concrete (MSC). A database comprising 275 experimental results based on 11 input variables and 1 target variable was used to train and validate the developed models. For this purpose, th
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Matteini, Irene, Paul Noyce, and Gina Crevello. "ASR: Practical investigative techniques and field monitoring systems used to assess ASR for service life modeling." MATEC Web of Conferences 289 (2019): 08004. http://dx.doi.org/10.1051/matecconf/201928908004.

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Alkali Silica Reaction (ASR) is a common deterioration mechanism affecting many concrete structures of any type and age. Initially identified more than 60 years ago (Stanton, 1930), this mechanism is based on the chemical reactions between certain siliceous minerals present in the aggregate and the alkalinity of the concrete in the presence of moisture (internal RH). While certain deterioration patterns are clearly associated with ASR, such as gel exudation, aggregate expansion, and characteristic cracking, the material degradation can often be misdiagnosed to the untrained eye. In addition, c
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Aniskin, Nikolai A., and Alexey M. Shaytanov. "A full-scale study on the thermal emissivity of concrete and application of its findings to verify ANSYS software package." Vestnik MGSU, no. 6 (June 2022): 727–37. http://dx.doi.org/10.22227/1997-0935.2022.6.727-737.

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Introduction. One of the most popular and complex areas in the design of massive concrete structures is the analysis of their thermal behaviour and thermal stress state. Hence, we can identify tasks related to the phased construction of massive concrete structures, such as gravity dams, massive foundations, bridge supports, etc. A large number of factors, influencing the thermal process, varying over time and depending, among other things, on temperature, determine the complexity of such tasks. The main factor, determining the thermal behaviour of mass concrete in the process of construction,
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Zhukov, Alexey, Ekaterina Bobrova, Ivan Popov, and Demissie Bekele Аrega. "SYSTEM ANALYSIS OF TECHNOLOGICAL PROCESSES." International Journal for Computational Civil and Structural Engineering 17, no. 4 (December 26, 2021): 73–82. http://dx.doi.org/10.22337/2587-9618-2021-17-4-73-82.

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The article discusses ways to solve engineering problems in the study of technological processes using methods of system analysis. The essence of this method is to study the technology as a cybernetic system with an assessment of the" reactions” of this system to external influences formed during an active experiment. At the same time, optimization problems are solved analytically. Analytical optimization is based on two main principles. The regression equations obtained as a result of processing experimental data and testing statistical hypotheses are models that adequately describe real proc
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Islam, Md Monirul, Md Belal Hossain, Md Nasim Akhtar, Mohammad Ali Moni, and Khondokar Fida Hasan. "CNN Based on Transfer Learning Models Using Data Augmentation and Transformation for Detection of Concrete Crack." Algorithms 15, no. 8 (August 15, 2022): 287. http://dx.doi.org/10.3390/a15080287.

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Cracks in concrete cause initial structural damage to civil infrastructures such as buildings, bridges, and highways, which in turn causes further damage and is thus regarded as a serious safety concern. Early detection of it can assist in preventing further damage and can enable safety in advance by avoiding any possible accident caused while using those infrastructures. Machine learning-based detection is gaining favor over time-consuming classical detection approaches that can only fulfill the objective of early detection. To identify concrete surface cracks from images, this research devel
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Su, Chao, and Wenjun Wang. "Concrete Cracks Detection Using Convolutional NeuralNetwork Based on Transfer Learning." Mathematical Problems in Engineering 2020 (October 17, 2020): 1–10. http://dx.doi.org/10.1155/2020/7240129.

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Crack plays a critical role in the field of evaluating the quality of concrete structures, which affects the safety, applicability, and durability of the structure. Due to its excellent performance in image processing, the convolutional neural network is becoming the mainstream choice to replace manual crack detection. In this paper, we improve the EfficientNetB0 to realize the detection of concrete surface cracks using the transfer learning method. The model is designed by neural architecture search technology. The weights are pretrained on the ImageNet. Supervised learning uses Adam optimize
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Kurbatov, Yuri E., and Galina G. Kashevarova. "Determination of elastic characteristics of cement stone to predict the fatigue life of concrete." Vestnik MGSU, no. 4 (April 2022): 476–86. http://dx.doi.org/10.22227/1997-0935.2022.4.476-486.

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Introduction. The problem of fatigue failure of concrete is one of the least studied in computational practice. The lack of reliable data on the actual processes of accumulation of fatigue damage occurring in the structure of this material during cyclic exposure does not allow us to form a methodology for calculating concrete structures that perceive such loads. To develop the above methodology, it is proposed to use structural simulation modeling. For this purpose, mathematical models of concrete damage under the influence of cyclic loading are considered. The purpose of the study is to deter
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40

Kostić, V. Dj, V. P. Stankov Jovanović, T. M. Sekulić, and Dj B. Takači. "Visualization of problem solving related to the quantitative composition of solutions in the dynamic GeoGebra environment." Chemistry Education Research and Practice 17, no. 1 (2016): 120–38. http://dx.doi.org/10.1039/c5rp00156k.

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Problem solving in the field of quantitative composition of solutions (QCS), expressed as mass share and molar concentration, is essential for chemistry students. Since successful chemistry education is based on different mathematical contents, it is important to be proficient in both mathematical and chemistry concepts as well as interconnections between them. One of the main objectives of this study was to create dynamic worksheets, applying softwareGeoGebra, which makes a strong link between real life problems from the field of QCS and their visual representations. The created models offer
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Nizar, Achmad, Siti Maghfirotun Amin, and Agung Lukito. "A Learning Trajectory of Indonesian 12-years Old Students Understanding of Division of Fractions." Southeast Asian Mathematics Education Journal 7, no. 2 (December 29, 2017): 41–52. http://dx.doi.org/10.46517/seamej.v7i2.52.

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The purpose of this study was to describe mathematical hands-on activities that can support students to gain better understanding of dividing fractions. This preliminary research phase was started by testing, analyzing, and refining the initial hypothetical learning trajectory (HLT), then in the pilot experimental phase the revised HLT was implemented, and ended with the teaching experimental phase by developing a learning trajectory for 12-year old students in understanding division of fractions. In developing the trajectory, a design research methodology was employed by using four contextual
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42

de-Prado-Gil, Jesús, Osama Zaid, Covadonga Palencia, and Rebeca Martínez-García. "Prediction of Splitting Tensile Strength of Self-Compacting Recycled Aggregate Concrete Using Novel Deep Learning Methods." Mathematics 10, no. 13 (June 27, 2022): 2245. http://dx.doi.org/10.3390/math10132245.

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The composition of self-compacting concrete (SCC) contains 60–70% coarse and fine aggregates, which are replaced by construction waste, such as recycled aggregates (RA). However, the complexity of its structure requires a time-consuming mixed design. Currently, many researchers are studying the prediction of concrete properties using soft computing techniques, which will eventually reduce environmental degradation and other material waste. There have been very limited and contradicting studies regarding prediction using different ANN algorithms. This paper aimed to predict the 28-day splitting
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43

Khan, Kaffayatullah, Fazal E. Jalal, Mudassir Iqbal, Muhammad Imran Khan, Muhammad Nasir Amin, and Majdi Adel Al-Faiad. "Predictive Modeling of Compression Strength of Waste PET/SCM Blended Cementitious Grout Using Gene Expression Programming." Materials 15, no. 9 (April 23, 2022): 3077. http://dx.doi.org/10.3390/ma15093077.

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The central aim of this study is to evaluate the effect of polyethylene terephthalate (PET) alongside two supplementary cementitious materials (SCMs)—i.e., fly ash (FA) and silica fume (SF)—on the 28-day compressive strength (CS28d) of cementitious grouts by using. For the gene expression programming (GEP) approach, a total of 156 samples were prepared in the laboratory using variable percentages of PET and SCM (0–10%, each). To achieve the best hyper parameter setting of the optimized GEP model, 10 trials were undertaken by varying the genetic parameters while observing the models’ performanc
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Rezvani Sharif, Mostafa, and Seyed Mohammad Reza Sadri Tabaei Zavareh. "Numerical analysis of the shear strength of circular reinforced concrete columns subjected to cyclic lateral loads using linear genetic programming." Engineering Computations 37, no. 7 (March 18, 2020): 2517–37. http://dx.doi.org/10.1108/ec-10-2018-0453.

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Purpose The shear strength of reinforced concrete (RC) columns under cyclic lateral loading is a crucial concern, particularly, in the seismic design of RC structures. Considering the costly procedure of testing methods for measuring the real value of the shear strength factor and the existence of several parameters impacting the system behavior, numerical modeling techniques have been very much appreciated by engineers and researchers. This study aims to propose a new model for estimation of the shear strength of cyclically loaded circular RC columns through a robust computational intelligenc
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45

Bažant, Zdeněk P. "Concrete fracture models: testing and practice." Engineering Fracture Mechanics 69, no. 2 (January 2002): 165–205. http://dx.doi.org/10.1016/s0013-7944(01)00084-4.

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46

Meena, Ayush, S. D. Bharti, and P. V. Ramana. "Mathematical Models Viability for Bi-Material Forte Appraisal." Proceedings of the 12th Structural Engineering Convention, SEC 2022: Themes 1-2 1, no. 1 (December 19, 2022): 1647–52. http://dx.doi.org/10.38208/acp.v1.701.

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This study examines the mechanical traits of bi-material concrete containing polypropylene fiber. This analysis aims to establish a relationship between bi-material concrete’s compressive strength (CS), split tensile strength (STS), and flexural strength (FS). M25 grade of bi-material concrete is designed, and polypropylene fiber is added to half of the concrete. Polypropylene fiber (PPF) was included in concrete with 0.20, 0.35, 0.50, 0.75, 1.00, and 1.50% by the weight of cement. Different test (CS, FS, STS) was performed over the bi-material concrete after 28 days of the curing period. Math
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47

Tutiareni, Teni, Budi Hendrawan, and Muhammad Fahmi Nugraha. "PENGARUH PENDEKATAN MATEMATIKA REALISTIK TERHADAP HASIL BELAJAR SISWA SEKOLAH DASAR." Jurnal PGSD 7, no. 2 (December 28, 2021): 12–19. http://dx.doi.org/10.32534/jps.v7i2.2441.

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Abstrak
 Penelitian ini bertujuan untuk meningkatkan hasil belajar matematika dalam pembelajaran operasi hitung bilangan pecahan pada siswa kelas V SDN 2 Tuguraja, Cihideung, Kota Tasikmalaya. Dalam penelitian ini pembelajaran dengan pendekatan matematika realistik yang akan dilaksanakan yaitu menggunakan tahap matematika konkret dengan bantuan media benda nyata dan model alat peraga berupa play-doh dan kertas origami. Penelitian ini termasuk penelitian eksperimen semu (quasi eksperimen) menggunakan desain Pretest-Posttest Nonequivalent control group design. Populasi dalam penelitian ini
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48

Wac-Wlodarczyk, A., R. Goleman, D. Czerwinski, and T. Gizewski. "Mathematical models applied in inductive non-destructive testing." Journal of Magnetism and Magnetic Materials 320, no. 20 (October 2008): e1044-e1048. http://dx.doi.org/10.1016/j.jmmm.2008.04.179.

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49

Ledenev, Andrey A., Viktor T. Pertsev, Oleg B. Rudakov, and Dmitriy E. Ваrabash. "Development of Ideas About the Rheological Behaviour of Building Mixtures Taking into Account Fractal-Cluster Processes in Their Structure Formation." Kondensirovannye sredy i mezhfaznye granitsy = Condensed Matter and Interphases 22, no. 4 (November 26, 2020): 473–80. http://dx.doi.org/10.17308/kcmf.2020.22/3059.

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Development of theoretical ideas about the mechanism of the rheological behaviour of building mixtures and the experimental assessment of their rheological properties is a relevant area of physiochemical research of materials. To assess the changes in rheological properties when varying the component composition of building mixtures, it is important to use quantitative indicators characterising the microstructure of the mixtures. Revealing the regularities of the formation of heterogeneous microstructures makes it possible to assess their correlation with the rheological properties of building
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50

Meena, Ayush, Tushar Sharma, Mohit Patodiya, and P. V. Ramana. "Evaluation of Morsel Rubber Mathematical Models in Seismic Areas." Proceedings of the 12th Structural Engineering Convention, SEC 2022: Themes 1-2 1, no. 1 (December 19, 2022): 1185–91. http://dx.doi.org/10.38208/acp.v1.638.

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Reinforced concrete is the most consumed material in the world, followed by air and water. As the demand for reinforced concrete as a building material increases, so makes the demand for Portland cement and ordinary cement. On the other hand, environmental protection has become a significant issue due to climate change caused by global warming. This is due to emissions of greenhouse gases such as CO2 from human activities. Of all greenhouse gases, CO2 is responsible for approximately 65% ??of global warming. The cement industry also contributes to releasing CO2 into the atmosphere by producing
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