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Добірка наукової літератури з теми "Funte element method Data processing"

Автор: Grafiati

Опубліковано: 10 грудня 2022

Оновлено: 29 січня 2023

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Статті в журналах з теми "Funte element method Data processing"

Shulgina, Yuliya, Maria A. Kostina, Evgeniy Shulgin, and Alexey Soldatov. "Method of Processing Data of Acoustic Array." Materials Science Forum 970 (September 2019): 242–49. http://dx.doi.org/10.4028/www.scientific.net/msf.970.242.

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Within this article, a method has been developed to reduce the amount of transmitted data from the receiving and preprocessing unit to a personal computer. On logical grounds, there is compelling reason to use as a basic property of an ellipse as a ground of the method. The developed data processing algorithm for the multi-element array system was tested in the MatLab software package. Also, a block diagram and data processing algorithm were developed for the practical implementation on a field programmable gate array.

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Soloviev, A. N., M. A. Tamarkin, and Nguyen Van Tho. "Finite element modeling method of centrifugal rotary processing." Vestnik of Don State Technical University 19, no. 3 (October 4, 2019): 214–20. http://dx.doi.org/10.23947/1992-5980-2019-19-2-214-220.

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Introduction. In modern production, when performing finishing operations, centrifugal rotary processing in the medium of abrasive plays an important role. High productivity, low costs and extensive technological capabilities are the main advantages of these cleaning and finishing operations. This paper considers the process of abrasive particle – workpiece surface interaction within the framework of the static contact problem of the elasticity theory. Thus, plastic deformation in the contact area comes into account.Materials and Methods. The abrasive particle (corundum) is simulated with a linearly elastic body, whose Young's modulus is significantly larger than that of the work material. The process material (steel) is simulated with an elastoplastic bilinear body using the von Mises yield criterion.Research Results. Finite element modeling of the structures under consideration was performed in the ANSYS CAE package. The process of abrasive particle – workpiece surface interaction was simulated; its stress-strain state was analyzed. The results of numerical experiments are presented. They have determined how equivalent plastic strains are distributed at depths of the cone penetration of 0.01 mm and 0.05 mm. The data obtained, as well as the areas of plastic strain values of more than 1%, are visualized in the ANSYS CAE package.Discussion and Conclusions. It is established that the equivalent plastic deformation is proportional to the depth of penetration (DP). It reaches a minimum value of 0.158 at DP = 0.01 mm, and a maximum of 0.825 at DP = 0.05 mm. The dependences of the plastic region sizes on DP are determined for cases when the plastic deformation exceeds 1%. At the maximum penetration (0.05 mm), the deformation radius is 1 mm, and the depth is 0.8 mm. On the basis of the data obtained as a result of the conducted research, the parameters of the technological process (rotational speed, size of the abrasive surface, mass of abrasive particles) that affect the workpiece – abrasive particle interaction can be selected. A judicious choice of these parameters will increase the processing efficiency

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Di Rienzo, Luca, Alberto Cosmai, and Stephan Russenschuck. "Post-Processing Magnetic Measurement Data of Accelerator Magnets by the Boundary Element Method." IEEE Transactions on Magnetics 53, no. 6 (June 2017): 1–4. http://dx.doi.org/10.1109/tmag.2017.2652119.

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Li, Weihan, Yang Li, Ling Yu, Jian Ma, Lei Zhu, Lingfeng Li, Huayue Chen, and Wu Deng. "A Novel Fault Feature Extraction Method for Bearing Rolling Elements Using Optimized Signal Processing Method." Applied Sciences 11, no. 19 (September 29, 2021): 9095. http://dx.doi.org/10.3390/app11199095.

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A rolling element signal has a long transmission path in the acquisition process. The fault feature of the rolling element signal is more difficult to be extracted. Therefore, a novel weak fault feature extraction method using optimized variational mode decomposition with kurtosis mean (KMVMD) and maximum correlated kurtosis deconvolution based on power spectrum entropy and grid search (PGMCKD), namely KMVMD-PGMCKD, is proposed. In the proposed KMVMD-PGMCKD method, a VMD with kurtosis mean (KMVMD) is proposed. Then an adaptive parameter selection method based on power spectrum entropy and grid search for MCKD, namely PGMCKD, is proposed to determine the deconvolution period T and filter order L. The complementary advantages of the KMVMD and PGMCKD are integrated to construct a novel weak fault feature extraction model (KMVMD-PGMCKD). Finally, the power spectrum is employed to deal with the obtained signal by KMVMD-PGMCKD to effectively implement feature extraction. Bearing rolling element signals of Case Western Reserve University and actual rolling element data are selected to prove the validity of the KMVMD-PGMCKD. The experiment results show that the KMVMD-PGMCKD can effectively extract the fault features of bearing rolling elements and accurately diagnose weak faults under variable working conditions.

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Yuan, Su Ling. "The Element-Free Method for Steam Turbine Rotor." Applied Mechanics and Materials 281 (January 2013): 343–46. http://dx.doi.org/10.4028/www.scientific.net/amm.281.343.

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The element-free method is a new numerical method, which requires only nodal data and whose shape functions are continual and differentiable. The element-free method employs moving least-square approximants to approximate original functions. In this paper, discrete equations of axial symmetry problem are obtained by variational principle and Gaussian quadrature. Several numerical examples indicate that the element-free method can obtain more accurate results about these problems, moreover, results and their gradients are continuous in the entire domain and post-processing to obtain a smooth gradient field is total unnecessary. Finaly, the element-free method is applied to heat conduction problems for steam turbine rotor.

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Liang, Baohua, Haiqi Zhang, Zhengyu Lu, and Zhengjin Zhang. "Indistinguishable Element-Pair Attribute Reduction and Its Incremental Approach." Mathematical Problems in Engineering 2022 (September 29, 2022): 1–16. http://dx.doi.org/10.1155/2022/6876144.

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Attribute reduction is a popular approach of preprocessing data. Discernibility matrix is a typical method that focuses on attribute reduction. Faced with the processing of modern information systems with large amounts of data and rapid changes, the traditional static discernibility matrix reduction model is powerless. To overcome this shortcoming, this paper first proposes an indistinguishable element pair method that does not need to store discernibility information, which retains the advantages of institution and easy-to-understand, and at the same time effectively solves the problem of space consumption. In order to make the model adapt to the processing of dynamic data sets, we further study the incremental mechanism and design a set of dynamic reduction models, which can adjust the reduction set in time according to the changes of objects. Theoretical analysis and experimental results indicate that the proposed algorithm is obviously superior to the discernibility matrix model, and can effectively deal with the reduction of dynamic data sets.

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Lu, Lu, and Zhao Xu Wang. "Equivalent Stress Analysis of Piercing Process in Diescher’s Mill Using Finite Element Method." Advanced Materials Research 648 (January 2013): 170–73. http://dx.doi.org/10.4028/www.scientific.net/amr.648.170.

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In this paper, the simulation of the piercing process is performed by the three dimensional finite element method in Diescher’s mill. After a short description of the problem the numerical model of the process is described. The simulated results visualize dynamic evolution of equivalent stress, especially inside the work-piece. The non-uniform distribution of stress on the internal and external surface of the work-piece is a distinct characteristic of processing tube piercing. And it is the basic data for improving tool and design, predicting, damage and controlling the micro-structural evolution of processing tube piercing.

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Lamichhane, Bishnu P., and Lutz Gross. "Inversion of geophysical potential field data using the finite element method." Inverse Problems 33, no. 12 (November 17, 2017): 125009. http://dx.doi.org/10.1088/1361-6420/aa8cb0.

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Owerko, Tomasz, and Przemysław Kuras. "Effective Processing of Radar Data for Bridge Damage Detection." Shock and Vibration 2019 (April 17, 2019): 1–13. http://dx.doi.org/10.1155/2019/2621092.

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This paper presents the practical results of the evaluation of the data obtained by using ground-based radar interferometer during measurements carried out on bridge structures. Due to the nature of the objects studied, the authors proposed a comprehensive method of data analysis, which identifies whether the passage of the vehicle did not damage the bridge. The effective use of vehicles as a source of bridge excitation allowed us to first develop a method for determining the damping parameters resistant to potentially occurring beating frequencies. As a result, it is possible to determine these subsets of data registered with radar, for which it is possible to assume compliance with linear systems. This type of data, often omitted in other works, forms the basis for the second important element of the research—an algorithm based on the ARMA model supporting defect detection. The optimization of the performed calculations, in particular the proposed optimal ARMA model order, the method of fault identification based on the DSF parameter, or fault identification based on a nonmetrical Cook’s distance leads to a robust and scalable method. The method’s low computational complexity allows for implementation in real-time solutions. In addition, the distribution of errors and the sensitivity of classifiers based on the DSF parameter and Cook’s distances leaving them will enable the automation of the classification process using machine learning. The proposed method is universal; in particular, it can be used for radar interferometry methods because it is resistant to potentially variable environmental conditions.

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Mori, Kenichiro, and Y. Kanno. "Development of PC Cluster Parallel Processing Scheme of 3-D Rigid-Plastic Finite Element Method Using Diagonal Matrix." Key Engineering Materials 340-341 (June 2007): 371–76. http://dx.doi.org/10.4028/www.scientific.net/kem.340-341.371.

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The 3-D rigid-plastic finite element method using a diagonal matrix was applied to parallel processing using a distributed memory type PC cluster. The cluster composed of cheap PCs becomes common as a low-cost system in the parallel processing. Since the computers in the distributed memory type PC cluster have individual memory units, the transfer of date among computers during the computation is required, and thus the time for the data transfer is taken into consideration. The renewal of data in each computation is limited because of the time of data transfer unlike the shared memory type workstation. This brings about the delay of data renewal. A data transfer scheme was investigated to optimize the total computational time in the parallel processing. The effect of the delay of date renewal on the convergence of the solution was examined in the simulation of upsetting of rectangular block with an inclined tool by means of a cluster composed of 4 PCs and 100MBit/s Ethernet.

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Дисертації з теми "Funte element method Data processing"

Sampath, Rahul Srinivasan. "A parallel geometric multigrid method for finite elements on octree meshes applied to elastic image registration." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/29702.

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Thesis (Ph.D)--Computing, Georgia Institute of Technology, 2009.
Committee Chair: Vuduc, Richard; Committee Member: Biros, George; Committee Member: Davatzikos, Christos; Committee Member: Tannenbaum, Allen; Committee Member: Zhou, Hao Min. Part of the SMARTech Electronic Thesis and Dissertation Collection.

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Jara-Almonte, J. "Extraction of eigen-pairs from beam structures using an exact element based on a continuum formulation and the finite element method." Diss., Virginia Polytechnic Institute and State University, 1985. http://hdl.handle.net/10919/54300.

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Studies of numerical methods to decouple structure and fluid interaction have reported the need for more precise approximations of higher structure eigenvalues and eigenvectors than are currently available from standard finite elements. The purpose of this study is to investigate hybrid finite element models composed of standard finite elements and exact-elements for the prediction of higher structure eigenvalues and eigenvectors. An exact beam-element dynamic-stiffness formulation is presented for a plane Timoshenko beam with rotatory inertia. This formulation is based on a converted continuum transfer matrix and is incorporated into a typical finite element program for eigenvalue/vector problems. Hybrid models using the exact-beam element generate transcendental, nonlinear eigenvalue problems. An eigenvalue extraction technique for this problem is also implemented. Also presented is a post-processing capability to reconstruct the mode shape each of exact element at as many discrete locations along the element as desired. The resulting code has advantages over both the standard transfer matrix method and the standard finite element method. The advantage over the transfer matrix method is that complicated structures may be modeled with the converted continuum transfer matrix without having to use branching techniques. The advantage over the finite element method is that fewer degrees of freedom are necessary to obtain good approximations for the higher eigenvalues. The reduction is achieved because the incorporation of an exact-beam-element is tantamount to the dynamic condensation of an infinity of degrees of freedom. Numerical examples are used to illustrate the advantages of this method. First, the eigenvalues of a fixed-fixed beam are found with purely finite element models, purely exact-element models, and a closed-form solution. Comparisons show that purely exact-element models give, for all practical purposes, the same eigenvalues as a closed-form solution. Next, a Portal Arch and a Verdeel Truss structure are modeled with hybrid models, purely finite element, and purely exact-element models. The hybrid models do provide precise higher eigenvalues with fewer degrees of freedom than the purely finite element models. The purely exact-element models were the most economical for obtaining higher structure eigenvalues. The hybrid models were more costly than the purely exact-element models, but not as costly as the purely finite element models.
Ph. D.

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Jara-Almonte, C. C. "Finite element analysis of subregions using a specified boundary stiffness/force method." Diss., Virginia Polytechnic Institute and State University, 1985. http://hdl.handle.net/10919/54448.

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The accurate finite element analysis of subregions of large structures is difficult to carry out because of uncertainties about how the rest of the structure influences the boundary conditions and loadings of the subregion model. This dissertation describes the theoretical development and computer implementation of a new approach to this problem of modeling subregions. This method, the specified boundary stiffness/force (SBSF) method, results in accurate displacement and stress solutions as the boundary loading and the interaction between the stiffness of the subregion and the rest of the structure are taken into account. This method is computationally efficient because each time that the subregion model is analyzed, only the equations involving the degrees of freedom within the subregion model are solved. Numerical examples are presented which compare this method to some of the existing methods for subregion analysis on the basis of both accuracy of results and computational efficiency. The SBSF method is shown to be more accurate than another approximate method, the specified boundary displacement (SBD) method and to require approximately the same number of computations for the solution. For one case, the average error in the results of the SBD method was +2.75% while for the SBSF method the average error was -0.3%. The comparisons between the SBSF method and the efficient and exact zooming methods demonstrate that the SBSF method is less accurate than these methods but is computationally more efficient. In one example, the error for the exact zooming method was -0.9% while for the SBSF method it was -3.7%. Computationally, the exact zooming method requires almost 185% more operations than the SBSF method. Similar results were obtained for the comparison of the efficient zooming method and the SBSF method. Another use of the SBSF method is in the analysis of design changes which are incorporated into the subregion model but not into the parent model. In one subregion model a circular hole was changed to an elliptical hole. The boundary forces and stiffnesses from the parent model with the circular hole were used in the analysis of the modified subregion model. The results of the analysis of the most refined mesh in this example had an error of only -0.52% when compared to the theoretical result for the modified geometry. The results of the research presented in this dissertation indicate that the SBSF method is better suited to the analysis of subregions than the other methods documented in the literature. The method is both accurate and computationally efficient as well as easy to use and implement. The SBSF method can also be extended to the accurate analysis of subregion models with design changes which are not incorporated into the parent model.
Ph. D.

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劉心雄 and Sum-hung Lau. "Adaptive FEM preprocessing for electro magnetic field analysis of electric machines." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1995. http://hub.hku.hk/bib/B31212451.

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Yang, Xiaomei, and 楊笑梅. "Computational models for piezoelectrics and piezoelectric laminates." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B31246217.

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Charras, Guillaume Thomas. "Digital Image-Based Finite Element Modeling (DIBFEM) : validation and application to biological structures." Thesis, Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/17765.

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Chan, Mun Fong. "Nonlinear finite element analysis of sheet pile interlocks." Diss., Virginia Polytechnic Institute and State University, 1985. http://hdl.handle.net/10919/54482.

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A finite element program is developed to depict the behavior of a sheet pile interlock connection in an axial pull test. Two types of sheet piles, PS32 and PSX32, are considered. The thumb and finger in the interlock of a sheet pile will provide three contact points for connection with another sheet pile. The problem is highly nonlinear in nature which involves large deflections and rotations, elastic-plastic material response, and a nonlinear boundary effect due to multi-contact surfaces. The Updated Lagrangian formulation is adopted in this study. When the response is in elastic range the Updated Lagrangian with Transformation is used while the Updated Lagrangian with Jaumann stress rate is employed when the element starts to yield. An elastic-plastic with isotropic strain hardening material model is used. The yielding of an element is detected by the Von Mises yield criterion. The finite element formulation also includes a moving contact algorithm to incorporate with both geometric and material nonlinearities. Incremental potential of contact forces for a discretized system is constructed such that geometric compatibilities are maintained between contacting bodies. A method to calculate contact tractions from residual load of internal element stresses is employed. The incremental equilibrium equation is solved by a Newton-Raphson technique. Convergence criteria based on incremental displacement, incremental internal energy of the system, and the changes in contact forces can be chosen to advance or terminate the iteration process.
Ph. D.

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Hayes, Thomas S. "Evaluation of a refined lattice dome model." Thesis, Virginia Polytechnic Institute and State University, 1985. http://hdl.handle.net/10919/56187.

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A general review of lattice dome geometry and connection details, leads to a modeling approach, which introduces intermediate elements to represent connections. The method provides improved modeling of joint behavior and flexibility for comparative studies. The discussion of lattice domes is further specialized for parallel lamella geometry. A procedure is developed for minimizing the number of different member lengths. This procedure is incorporated into a program, which generates the geometric data for a specified dome. The model is developed from a background which considers commercial space frame systems, static and dynamic loads, and modeling techniques using ABAQUS, a finite element program. An optional output of the generation program creates input data for ABAQUS. Modal analysis, static design loads, and earthquake loads are used in the evaluation of the model.
Master of Science

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Rayyan, Ahmad I. "Evaluation of the frontal solver on the IBM PC." Thesis, Virginia Polytechnic Institute and State University, 1986. http://hdl.handle.net/10919/91062.

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In this thesis, frontal subroutines are implemented to a plane frame analysis program for execution on the IBM PC. The resulting program solves for the unknown joint displacements of frame structures with large numbers of degrees of freedom by utilizing a peripheral back-up storage; which can not be analyzed directly in core. A comparison of the frontal solver and the out-of-core band solver is presented.
M.S.

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Guney, Murat Efe. "High-performance direct solution of finite element problems on multi-core processors." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/34662.

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A direct solution procedure is proposed and developed which exploits the parallelism that exists in current symmetric multiprocessing (SMP) multi-core processors. Several algorithms are proposed and developed to improve the performance of the direct solution of FE problems. A high-performance sparse direct solver is developed which allows experimentation with the newly developed and existing algorithms. The performance of the algorithms is investigated using a large set of FE problems. Furthermore, operation count estimations are developed to further assess various algorithms. An out-of-core version of the solver is developed to reduce the memory requirements for the solution. I/O is performed asynchronously without blocking the thread that makes the I/O request. Asynchronous I/O allows overlapping factorization and triangular solution computations with I/O. The performance of the developed solver is demonstrated on a large number of test problems. A problem with nearly 10 million degree of freedoms is solved on a low price desktop computer using the out-of-core version of the direct solver. Furthermore, the developed solver usually outperforms a commonly used shared memory solver.

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Книги з теми "Funte element method Data processing"

Lawrence, Taylor Richard, Nithiarasu Perumal, and Zhu J. Z, eds. The finite element method. 6th ed. Oxford: Elsevier/Butterworth-Heinemann, 2005.

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Hall, W. S. The Boundary Element Method. Dordrecht: Springer Netherlands, 1994.

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Hollmann, Martin. ABC's of desktop finite element analysis. Cupertino, Calif. (11082 Bel Aire Ct., Cupertino 95014): M. Hollmann, 1987.

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Michael, Ensminger J., ed. Finite element analysis with personal computers. New York, N.Y: M. Dekker, 1988.

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Potts, J. Frank. Finite element applications with microcomputers. Englewood Cliffs, N.J: Prentice Hall, 1989.

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The finite element method in thermomechanics. Boston: Allen & Unwin, 1986.

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Baran, Nicholas. Finite element analysis on microcomputers. New York: McGraw-Hill, 1988.

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Finite element analysis on microcomputers. New York, NY: McGraw-Hill, 1988.

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A first coursein the finite element method using Algor. Boston: PWS Publishing Company, 1997.

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Hyochoong, Bang, ed. The finite element method using MATLAB. Boca Raton: CRC Press, 1997.

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Частини книг з теми "Funte element method Data processing"

Moys, M. H., M. A. van Nierop, J. C. van Tonder, and G. Glover. "Validation of the discrete element method (DEM) by comparing predicted load behaviour of a grinding mill with measured data." In Developments in Mineral Processing, C3–39—C3–44. Elsevier, 2000. http://dx.doi.org/10.1016/s0167-4528(00)80014-9.

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Tajdari, M., A. Maqsood, H. Li, S. Saha, JF Sarwark, and WK Liu. "Artificial intelligence data-driven 3D model for AIS." In Studies in Health Technology and Informatics. IOS Press, 2021. http://dx.doi.org/10.3233/shti210453.

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Scoliosis is a 3D deformation of the spinal column, characterized by a lateral deviation of the spine, accompanied by axial rotation of the vertebrae. Adolescent Idiopathic Scoliosis (AIS), is the most common type, affecting children between ages 8 to 18 when bone growth is at its maximum rate. The selection of the most appropriate treatment options is based on the surgeon’s experience. So, developing a clinically validated patient-specific model of the spine would aid surgeons in understanding AIS in early stages and propose an efficient method of treatment for the individual patient. This project steps include: Developing a clinically validated patient-specific Reduced Order Finite Element Model (ROFEM) of the spine, predicting AIS progression using data mining and proposing a method of treatment. First we implement FE synergistically with bio-mechanical information, image processing and data science techniques to improve predictive ability. Initial geometry of the spine will be extracted from the x-ray images from different planes and imported to FEM software to generate the spine model and perform analysis. A RO model is developed based on the detailed spinal FEM. Next, a neural network is used to predict the spinal curvature. The ability to predict the severity of AIS will have an immense impact on the treatment of AIS-affected children. Access to a predictive and patient-specific model will enable the physicians to have a better understanding of spinal curvature progression. Consequently, the physicians will be able to educate families, choose the most appropriate treatment option and asses for surgical intervention.

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Pears, Russel. "Accelerating Multi Dimensional Queries in Data Warehouses." In Advances in Database Research, 178–203. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-172-8.ch011.

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Data Warehouses are widely used for supporting decision making. On Line Analytical Processing or OLAP is the main vehicle for querying data warehouses. OLAP operations commonly involve the computation of multidimensional aggregates. The major bottleneck in computing these aggregates is the large volume of data that needs to be processed which in turn leads to prohibitively expensive query execution times. On the other hand, Data Analysts are primarily concerned with discerning trends in the data and thus a system that provides approximate answers in a timely fashion would suit their requirements better. In this chapter we present the Prime Factor scheme, a novel method for compressing data in a warehouse. Our data compression method is based on aggregating data on each dimension of the data warehouse. Extensive experimentation on both real-world and synthetic data have shown that it outperforms the Haar Wavelet scheme with respect to both decoding time and error rate, while maintaining comparable compression ratios (Pears and Houliston, 2007). One encouraging feature is the stability of the error rate when compared to the Haar Wavelet. Although Wavelets have been shown to be effective at compressing data, the approximate answers they provide varies widely, even for identical types of queries on nearly identical values in distinct parts of the data. This problem has been attributed to the thresholding technique used to reduce the size of the encoded data and is an integral part of the Wavelet compression scheme. In contrast the Prime Factor scheme does not rely on thresholding but keeps a smaller version of every data element from the original data and is thus able to achieve a much higher degree of error stability which is important from a Data Analysts point of view.

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Park, Jun Pyo, Chang-Sup Park, and Yon Dohn Chung. "Energy and Latency Efficient Access of Wireless XML Stream." In Cross-Disciplinary Models and Applications of Database Management, 57–79. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-61350-471-0.ch003.

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In this article, we address the problem of delayed query processing raised by tree-based index structures in wireless broadcast environments, which increases the access time of mobile clients. We propose a novel distributed index structure and a clustering strategy for streaming XML data that enables energy and latency-efficient broadcasting of XML data. We first define the DIX node structure to implement a fully distributed index structure which contains the tag name, attributes, and text content of an element, as well as its corresponding indices. By exploiting the index information in the DIX node stream, a mobile client can access the stream with shorter latency. We also suggest a method of clustering DIX nodes in the stream, which can further enhance the performance of query processing in the mobile clients. Through extensive experiments, we demonstrate that our approach is effective for wireless broadcasting of XML data and outperforms the previous methods.

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"conversion, 137-140 Extensometers, 188-189 multiplexing, 137,148-149 processing, 150-151 quantization, 139-140 Dead band, 108 Feather, 9-10 flatness, 578-587, 776-779 Filter, 137-138, 149-150 floating, 275-277 cut-off frequency, 149-150 Decibels, 223-224 pass band, 149-150 Discrimination, 108 stop band, 149-150 Distribution, normal, 77-78 Finite element analysis, 415-416, 461-473, Dog bone 479-480, 529-534 rolling, 441-442 Fish tail, 15-16,340-346, 406,430 shape, 12-13, 328-333 Flatness Doppler sensors, 117-119,134-135 error, 93 Drift, 108 performance, 93 Drives, 214-215 Flowmeters, 117 Frequency E break, 241 crossover, 241 Edge Friction, 218 cross-sectional static, 109 profile, 315-316 Fuzzy inference method, 798-799 shape, 13-14,347-349 drop, 9-10, 638-640, 736, 779,782-783 overlap, 413 thinning ratio, 610-612 Gages Edgers, 356-362,429-436 strain, 127 Edging thickness, 175-180 combined, 179-180 by rolling, 315-350 capability, 358 isotope, 177-180 efficiency, 333-334, 337-338, 387-389 optical, 176-177 practice, 360-367 profile, 749-750 rolls, 334-340,349, 358, 360, 401-402, 410 X-ray, 178-180, 747-748 Errors Gauge analysis of, 112 change, flying, 169-171 band, 109 control data transmission, 151-152 adaptive threading, 215-216 compensation, 169,218-219 illegitimate, 151-154 legitimate, 151 deviation, 199-200 position, 225, 239-241 differential, 197-198 propagation of, 112-113 dynamic, 212 random, 112 feedback, 197,199,212 feedforward, 199-200,208, 212, 215-217, signal conditioning, 151 278-281 recovery, 151-152 flow-stress feedforward, 208-209 high/low frequency, 212 sampling, 154-155 sensing, 151 in-gap, 278 mass flow, 211-212 systematic, 112." In High-Quality Steel Rolling, 824–30. CRC Press, 1993. http://dx.doi.org/10.1201/9781466564640-187.

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Тези доповідей конференцій з теми "Funte element method Data processing"

Cosmai, Alberto, Luca Di Rienzo, and Stephan Russenschuck. "Post-processing magnetic measurement data of accelerator magnets by the boundary element method." In 2016 IEEE Conference on Electromagnetic Field Computation (CEFC). IEEE, 2016. http://dx.doi.org/10.1109/cefc.2016.7815970.

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Sornet, Gauthier, Sylvain Jubertie, Fabrice Dupros, Florent De Martin, Philippe Thierry, and Sebastien Limet. "Data-Layout Reorganization for an Efficient Intra-Node Assembly of a Spectral Finite-Element Method." In 2018 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP). IEEE, 2018. http://dx.doi.org/10.1109/pdp2018.2018.00043.

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Ziolkowski, Patryk. "PROCESSING OF POINT CLOUD DATA RETRIEVED FROM TERRESTRIAL LASER SCANNING FOR STRUCTURAL MODELING BY FINITE ELEMENT METHOD." In 17th International Multidisciplinary Scientific GeoConference SGEM2017. Stef92 Technology, 2017. http://dx.doi.org/10.5593/sgem2017/23/s10.026.

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Luo, Lanxin, Ye Xia, Ao Wang, and Limin Sun. "Computer Vision-based Finite Element Model Updating Method Using Measured Static Data: An Experimental Study." In IABSE Congress, Nanjing 2022: Bridges and Structures: Connection, Integration and Harmonisation. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2022. http://dx.doi.org/10.2749/nanjing.2022.1473.

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<p>Accurate FE models play an important role in structure health monitoring (SHM). In the traditional static finite element model updating (FEMU) process, loading tests interrupting the traffic are required for obtaining static data, which is inconvenient. This paper proposes a novel static FEMU method based on computer vision technology and WIM system, avoiding the mentioned defects. Firstly, the static response simulation under traffic load is carried out with the computer vision determining the load location and the BIW system deciding the load value. Secondly, signal processing technology extracts the measured static data from the monitoring data. Thirdly, the PSO method is utilized to perform the FEMU. An experiment is designed on a bridge model with an SHM system, and results verify the convenience and accuracy of the proposed method</p>

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Kontsos, A., and P. D. Spanos. "A Monte Carlo Finite Element Method for Determining the Young’s Modulus of Polymer Nanocomposites Using Nanoindentation Data." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-34801.

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This article presents a Monte Carlo finite element method (MCFEM) for determining the Young’s modulus (YM) of polymer nanocomposites (PNC) using Nanoindentation (NI) data. The method treats actual NI data as measurements of the local YM of PNC; it further assesses the effect of the nonhomogeneous dispersion of carbon nanotubes in polymers on the statistical variations observed in experimental NI data. First the method simulates numerically NI data by developing a random field and a multiscale homogenization model. Subsequently, the MCFEM applies the spectral representation method to generate a population of samples of local YM values. These local values are then used in conjunction with a stochastic finite element scheme to derive estimates for the YM of PNC. The statistical processing of the ensemble of FE solutions yields overall YM values that agree well with corresponding results reported in the literature.

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Bao, Ji, Shenwei Zhang, Billy Zhang, Rick Wang, and Ken Zhang. "An Automatic Dent Assessment Tool Using Finite Element Method." In 2022 14th International Pipeline Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/ipc2022-87098.

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Abstract Dents are permanent plastic deformations of the pipeline that occur during pipeline construction and operations. Stress and strain concentration at dents may initiate cracks, which pose a threat to the integrity of the pipeline. Since formation of dents involves plastic deformation, a traditional depth-based assessment method cannot accurately capture the strain concentration, e.g. a sharp dent. Dent assessment methods have shifted to strain-based approach in recent years. Engineering Critical Assessment (ECA) procedures are evolving with the development of new methods to calculate the strains associated with a dent. It has been well established that three-dimensional (3D) elastic-plastic Finite Element Analysis (FEA) is the most accurate in the denting process simulation and dent strain calculation. However, FEA modelling of dents interacting with other threats can be extremely laborious and requires high level of FEA expertise. Moreover, continuum FEA is usually computationally expensive and imposes onerous demands for analysis efforts. This paper describes the process that was used to develop an automatic dent assessment tool via FEA. The tool is capable of simulating the denting process of a plain dent and a dent interacting with other threats (e.g., metal loss or gouge). The dent geometry and curvature in FEA are shown to agree well with captured In-line Inspection (ILI) caliper data. The tool also supports batch processing of numerous dents with a highly intelligent post-processing engine that automatically calculates von Mises equivalent strain, ductile failure damage indicator (DFDI) and strain limit damage (SLD) and outputs the results with visual contour plots. The Rainflow pressure cycling counting algorithm and Miner’s rule are incorporated in the tool to predict the fatigue life of the dent utilizing historical pressure data. Case studies are provided to demonstrate the effectiveness of the tool. The development of the tool greatly facilitates the ECA of dents allowing for accurate and efficient management of dents impacting TC Energy’s pipeline system.

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Assous, Said, James Whetton, and Mark Bacciarelli. "Magnetic Flux Leakage Data Processing for Casing Inspection: An Inversion Approach." In International Petroleum Technology Conference. IPTC, 2021. http://dx.doi.org/10.2523/iptc-21167-ms.

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Abstract Measurements of magnetic flux leakage are used extensively to map and monitor defects and corrosion in pipelines, well casings, and storage tanks. The application of this method enables locating defects and determining metal loss. The measurements have complex response characteristics, which must be understood to optimize measurement design and data processing choices. Until recently, the industry lacked an adequate first principles description of sensitivity to defect penetration and size, including the foundational cases of circular and elliptical defects. An inversion method has been developed and validated with independent synthetic and lab data. The data was obtained using an analytical forward model, finite element modeling, and laboratory data from different thickness and diameter pipes with known machined defects of different sizes and penetrations. The approach enables inverting field data to reconstruct 3D defect profiles, which helps to assess casing health and offers valuable information to the decision-maker for well integrity.

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Xiong, Shaomin, and Toshiki Hirano. "Sound-Induced Vibration to Hard Disk Drive in a Data Storage Enclosure." In ASME 2019 28th Conference on Information Storage and Processing Systems. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/isps2019-7489.

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Abstract The data read and write operation in a hard disk drive (HDD) relies on precision mechanical components, such as air bearing sliders, suspension, and piezo actuators. Many of those mechanical components are sensitive to mechanical disturbances. It is found that sound a disturbance (or airborne disturbance) increases the position error signal (PES), such that the tracking, following and seeking performance is compromised. For a data storage enclosure and server in a data center, cooling fans generate strong sound noise, resulting in degradation of the performance of HDDs. In this study, we showed that the PES degrades when placing a sound source next to the HDD, indicating that the sound-induced vibration links to the mechanical components inside the HDD. It is also found that the PES is very sensitive to the location of the sound source. A vibration model was built by finite element method (FEM). The simulation results were compared to experiments on a thin plate structure to explain this dependency on the location of sound source.

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Chen, Yih-Jen D. "Smooth Surface Fitting and Finite Element Mesh Generation for Irregularly Distributed Data Points." In ASME 1993 Design Technical Conferences. American Society of Mechanical Engineers, 1993. http://dx.doi.org/10.1115/detc1993-0372.

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Abstract This paper presents two computational methods for geometric modeling of curved surfaces represented by irregularly distributed data points. The study emphasizes irregularly distributed data points since this represents the most general case in geometric data interpretation. The first method is a direct mesh mapping procedure, which projects an relatively regular mesh to the complicated real surface. The second method is a surface fitting technique that reconstructs the mathematical surface model using piecewise bi-cubic parametric functions or B-spline functions. This data reconstruction method uses a normal-distance least-squares concept to generate the best fit. Recursive subdivision algorithm and quad tree data structure are applied to optimize the number of patches needed within the desired precision and thus minimize the computing time in the further processing of the surface model. A computer program based on the two computational methods in surface modeling has been developed and demonstrated by its engineering application. Its development provides an automated tool for design engineers and structure analysts to interpret and model complex surfaces derived from data points.

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Yoneda, Taiju, Jie Fang, Hideyuki Otani, Satoshi Tsuchiya, Satoru Oishi, and Tetsuya Ishida. "Development of a 3D Finite-Element Modelling Generation System Based on Data Processing Platform and Fatigue Analysis of Full-Scale Reinforced-Concrete Bridge." In IABSE Symposium, Prague 2022: Challenges for Existing and Oncoming Structures. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2022. http://dx.doi.org/10.2749/prague.2022.0415.

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<p>This study presents a technology development for creating 3D finite-element full-scale bridge models based on a data processing platform (DPP) and explores the trial fatigue analysis to serve as an important reference for future practical applications. Until now, the model generation, validation and calculation for a large-scale model of conventional method consume huge time and money. Currently, developments in High- Performance Computing (HPC) and preparation for large parallel computers make numerical simulation operation more efficient. Moreover, through the grouping structure technique, different types of data can be linked together. In this research, a 3D finite-element full-scale bridge superstructure model was created using the DPP. A trial fatigue analysis was performed using a high-performance computer. By considering the details such as the position of each reinforcing bar, prestressed tendon, the slope, etc., the DPP model more closely captures the real structure. Therefore, it could be said that the model made by the DPP has higher analytical accuracy. This research paved the way for the implementation of large-scale fatigue analysis, which has significant engineering applications prospects.</p>

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Звіти організацій з теми "Funte element method Data processing"

Yan, Yujie, and Jerome F. Hajjar. Automated Damage Assessment and Structural Modeling of Bridges with Visual Sensing Technology. Northeastern University, May 2021. http://dx.doi.org/10.17760/d20410114.

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Recent advances in visual sensing technology have gained much attention in the field of bridge inspection and management. Coupled with advanced robotic systems, state-of-the-art visual sensors can be used to obtain accurate documentation of bridges without the need for any special equipment or traffic closure. The captured visual sensor data can be post-processed to gather meaningful information for the bridge structures and hence to support bridge inspection and management. However, state-of-the-practice data postprocessing approaches require substantial manual operations, which can be time-consuming and expensive. The main objective of this study is to develop methods and algorithms to automate the post-processing of the visual sensor data towards the extraction of three main categories of information: 1) object information such as object identity, shapes, and spatial relationships - a novel heuristic-based method is proposed to automate the detection and recognition of main structural elements of steel girder bridges in both terrestrial and unmanned aerial vehicle (UAV)-based laser scanning data. Domain knowledge on the geometric and topological constraints of the structural elements is modeled and utilized as heuristics to guide the search as well as to reject erroneous detection results. 2) structural damage information, such as damage locations and quantities - to support the assessment of damage associated with small deformations, an advanced crack assessment method is proposed to enable automated detection and quantification of concrete cracks in critical structural elements based on UAV-based visual sensor data. In terms of damage associated with large deformations, based on the surface normal-based method proposed in Guldur et al. (2014), a new algorithm is developed to enhance the robustness of damage assessment for structural elements with curved surfaces. 3) three-dimensional volumetric models - the object information extracted from the laser scanning data is exploited to create a complete geometric representation for each structural element. In addition, mesh generation algorithms are developed to automatically convert the geometric representations into conformal all-hexahedron finite element meshes, which can be finally assembled to create a finite element model of the entire bridge. To validate the effectiveness of the developed methods and algorithms, several field data collections have been conducted to collect both the visual sensor data and the physical measurements from experimental specimens and in-service bridges. The data were collected using both terrestrial laser scanners combined with images, and laser scanners and cameras mounted to unmanned aerial vehicles.

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COLD FORMED STEEL SHEAR WALL RACKING ANALYSIS THROUGH A MECHANISTIC APPROACH: CFS-RAMA. The Hong Kong Institute of Steel Construction, September 2022. http://dx.doi.org/10.18057/ijasc.2022.18.3.2.

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Cold-formed steel shear wall panels are an effective lateral load resisting system in cold-formed steel or light gauge constructions. The behavior of these panels is governed by the interaction of the sheathing - frame fasteners and the sheathing itself. Therefore, analysis of these panels for an applied lateral load (monotonic/cyclic) is complex due to the inherent non-linearity that exists in the fastener-sheathing interaction. This paper presents a novel and efficient, fastener based mechanistic approach that can reliably predict the response of cold-formed steel wall panels for an applied monotonic lateral load. The approach is purely mechanistic, alleviating the modelling complexity, computational costs and convergence issues which is generally confronted in finite element models. The computational time savings are in the order of seven when compared to the finite element counterparts. Albeit its simplicity, it gives a good insight into the component level forces such as on studs, tracks and individual fasteners for post-processing and performance-based seismic design at large. The present approach is incorporated in a computational framework - CFS-RAMA. The approach is general and thereby making it easy to analyze a variety of configurations of wall panels with brittle sheathing materials and the results are validated using monotonic racking test data published from literature. The design parameters estimated using EEEP (Equivalent Energy Elastic Plastic) method are also compared against corresponding experimental values and found in good agreement. The method provides a good estimate of the wall panel behavior for a variety of configurations, dimensions and sheathing materials used, making it an effective design tool for practicing engineers.

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