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Relevant bibliographies by topics / Bending Moment Prediction

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Academic literature on the topic 'Bending Moment Prediction'

Author: Grafiati

Published: 4 June 2021

Last updated: 8 February 2022

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Journal articles on the topic "Bending Moment Prediction"

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Chaudhary, Sandeep, Umesh Pendharkar, and Ashok Kumar Nagpal. "Bending Moment Prediction for Continuous Composite Beams by Neural Networks." Advances in Structural Engineering 10, no. 4 (2007): 439–54. http://dx.doi.org/10.1260/136943307783239390.

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A methodology has been developed for the continuous composite beams to predict the inelastic bending moments (considering the cracking of concrete) from the elastic moments (neglecting the cracking) by using the neural networks. The proposed neural network models predict the inelastic moment ratios (ratio of inelastic moment to elastic moment) at the supports of a span. Nine significant structural parameters have been identified governing the inelastic moment ratios. Six neural networks have been presented to cover the entire practical range of the beams. The proposed neural networks have been

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Sulisetyono, Aries, and Teguh Putranto. "Wave Load Analysis of the Corvette Ship in the Sea Water of Indonesia." Applied Mechanics and Materials 862 (January 2017): 291–95. http://dx.doi.org/10.4028/www.scientific.net/amm.862.291.

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Wave load prediction of ship should be considered in the design stage of ship’s construction. The excessive of wave load might cause a structural failure of ship during operational in seaway. The bending moment might be experienced on the ship structure that it contributes to stress concentration on the particular part of construction. This paper describes the prediction of bending moment and shear forces of the warship corvette type considered to the sea condition of Indonesia. The 3D diffraction theory was adopted to analyze ship’s motion responses, bending moments, and shear forces numerica

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Yi, H. K., D. W. Kim, C. J. Van Tyne, and Y. H. Moon. "Analytical prediction of springback based on residual differential strain during sheet metal bending." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 222, no. 2 (2008): 117–29. http://dx.doi.org/10.1243/09544062jmes682.

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As the springback of sheet metal during unloading may cause deviation from a desired shape, accurately predicting springback is essential for the design of sheet stamping operations. Finite-element models have not been successful in predicting springback; hence there is a need for analytical models to make such predictions. In this study, a model based on differential strains after relief from the maximum bending stress is derived for six different deformation patterns in order to predict springback analytically. The springback for each deformation pattern is estimated by the residual differen

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Ren, Sheng Le, Yi Nan Lai, Guang Fei Wu, Jun Tao Gu, and Zeng Lou Li. "Intelligent Prediction of Process Parameters for Cold Bending." Advanced Materials Research 154-155 (October 2010): 74–78. http://dx.doi.org/10.4028/www.scientific.net/amr.154-155.74.

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The choice of the process parameters in the conventional tube bending forming is often based on experience. The method of constantly testing to adjust has seriously affected the production efficiency and increased production costs. In this paper, an intelligent prediction model of the tube bending forming process parameters for utility boiler was set up based on neural network, which has been used to predict the main process parameters including the bending moment and boost power. In the intelligent prediction model, the analytical calculations, numerical simulation and experimental data are s

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Kut, Stanisław, Feliks Stachowicz, and Grzegorz Pasowicz. "Springback Prediction for Pure Moment Bending of Aluminum Alloy Square Tube." Materials 14, no. 14 (2021): 3814. http://dx.doi.org/10.3390/ma14143814.

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The springback phenomenon occurring during cold forming is the main problem affecting the dimensional accuracy of bent products, especially when bending thin-walled profiles, where there are significant changes in the cross-section geometry. This article presents the results of the analysis of the springback phenomenon occurring during shaping with a pure bending moment of square tubes with the cross-sectional dimensions of 21.5 × 21.5 × 1.8 mm and 25 × 25 × 2.5 mm made of aluminum alloy 6060. The springback characteristics were determined by defining the dependence of the springback coefficie

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Li, Yinsheng, Kunio Hasegawa, and Masayoshi Shimomoto. "ICONE19-43138 Prediction of Failure Bending Moment for a Pipe Containing Multiple Circumferential Cracks with Complex Shapes." Proceedings of the International Conference on Nuclear Engineering (ICONE) 2011.19 (2011): _ICONE1943. http://dx.doi.org/10.1299/jsmeicone.2011.19._icone1943_45.

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Kinawy, Moustafa, Richard Butler, and Giles W. Hunt. "Bending strength of delaminated aerospace composites." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 370, no. 1965 (2012): 1780–97. http://dx.doi.org/10.1098/rsta.2011.0337.

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Buckling-driven delamination is considered among the most critical failure modes in composite laminates. This paper examines the propagation of delaminations in a beam under pure bending. A pre-developed analytical model to predict the critical buckling moment of a thin sub-laminate is extended to account for propagation prediction, using mixed-mode fracture analysis. Fractography analysis is performed to distinguish between mode I and mode II contributions to the final failure of specimens. Comparison between experimental results and analysis shows agreement to within 5 per cent in static pro

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Liao, Caicai, Kezhong Shi, and XiaoLu Zhao. "Predicting the Extreme Loads in Power Production of Large Wind Turbines Using an Improved PSO Algorithm." Applied Sciences 9, no. 3 (2019): 521. http://dx.doi.org/10.3390/app9030521.

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Predicting the extreme loads in power production for the preliminary-design of large-scale wind turbine blade is both important and time consuming. In this paper, a simplified method, called Particle Swarm Optimization-Extreme Load Prediction Model (PSO-ELPM), is developed to quickly assess the extreme loads. This method considers the extreme loads solution as an optimal problem. The rotor speed, wind speed, pitch angle, yaw angle, and azimuth angle are selected as design variables. The constraint conditions are obtained by considering the influence of the aeroelastic property and control syst

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Wang, Zhi Yu, and Qing Yuan Wang. "Mechanical Model Study of a Bolted Endplate Minor Axis Joint." Advanced Materials Research 163-167 (December 2010): 726–29. http://dx.doi.org/10.4028/www.scientific.net/amr.163-167.726.

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An analysis of a bolted endplate minor axis joint that is subjected to bending is presented in this paper. The methodology for predicting the moment-rotation relationship of such joint is based on the component method and appropriate mathematical expressions. The component of column web in bending is of special concern, by using yield line analysis and plate theory, for calculation of the resistance and the stiffness respectively. A case study is reported in this work to validate the proposed mechanical model. The result is found to be satisfactory for the prediction of moment-rotation relatio

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MASUDA, Kenichi, and Dai-heng CHEN. "Prediction of Maximum Moment of Rectangular Tubes Subjected to Pure Bending." TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series A 76, no. 761 (2010): 26–33. http://dx.doi.org/10.1299/kikaia.76.26.

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Dissertations / Theses on the topic "Bending Moment Prediction"

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Rogers, Frederick. "Prediction of dynamic bending stresses of ships at sea." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0001/MQ42438.pdf.

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Rogers, Charles. "Development of a Computational Method for the Prediction of Wave Induced Longitudinal Bending in Ships." ScholarWorks@UNO, 2012. http://scholarworks.uno.edu/honors_theses/17.

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This thesis documents the development of a computational method for wave induced longitudinal bending in ships. First, there will be a discussion about the importance of longitudinal bending in ship design. The paper will then outline the basic physics at work in the system. It will review the wave forcing computation as well as the response of the vessel. It will then document the progression of the program, which was constructed in Fortran 90, as it solves the linear differential equation for the vessel bending caused by an incoming wave. The entire program then appears at the end of the p

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Book chapters on the topic "Bending Moment Prediction"

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Celledoni, Elena, Halvor S. Gustad, Nikita Kopylov, and Henrik S. Sundklakk. "Predicting Bending Moments with Machine Learning." In Lecture Notes in Computer Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26980-7_19.

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_orak, M., J. Parunov, and C. Soares. "Long-term prediction of combined wave and whipping bending moments of containership." In Analysis and Design of Marine Structures. CRC Press, 2013. http://dx.doi.org/10.1201/b15120-3.

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"Wave loads Long-term prediction of combined wave and whipping bending moments of containership." In Analysis and Design of Marine Structures. CRC Press, 2013. http://dx.doi.org/10.1201/b15120-4.

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Conference papers on the topic "Bending Moment Prediction"

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Derbanne, Quentin, Jean-Franc¸ois Leguen, Thierry Dupau, and Etienne Hamel. "Long-Term Non-Linear Bending Moment Prediction." In ASME 2008 27th International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2008. http://dx.doi.org/10.1115/omae2008-57326.

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Long-term analysis is more and more used to establish the design loads by performing direct loads evaluation. The long-term distribution of wave loads acting on a ship depends on the short-term contributions of the response in all the wave conditions the ship encounters in her life: sea state, relative heading, speed, load case... For each short-term condition the statistical parameters that describe the response are considered to be constant. Therefore a long-term analysis needs a correct evaluation of the short-term parameters that characterise the short-term response. The Weibull distributi

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Lee, Jae-bin, Weoncheol Koo, and Joonmo Choung. "Out-of-Plane Bending Moment-Induced Hotspot Stress Evaluation Using Advanced Numerical Technique." In ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/omae2018-78679.

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There have been various studies to predict out-of-plane bending (OPB) moment-induced stresses in mooring chain links. Recently, the BV guideline as one of the deliverables from OPB JIP reported empirical formulas to predict the nominal OPB moment-induced stress with suitable concentration factors (SCFs) so that prediction of the OPB moment-induced hotspot stresses can be available. A non-linear finite element analysis technique has been developed to more accurately estimate the OPB moment-induced hotspot stress. There has been no choice but to apply prescribed rotation to generate the OPB mome

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Li, Yinsheng, Kunio Hasegawa, Phuong H. Hoang, and Bostjan Bezensek. "Prediction Method for Plastic Collapse of Pipes Subjected to Combined Bending and Torsion Moments." In ASME 2010 Pressure Vessels and Piping Division/K-PVP Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/pvp2010-25101.

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When a crack is detected in a pipe during in-service inspection, the failure estimation method given in the codes such as ASME Boiler and Pressure Vessel Code Section XI non-mandatory Appendix C or JSME S NA-1-2008 Appendix E-8 can be applied to assess the integrity of the pipe. In the current editions of these codes, the failure estimation method is provided for bending moment and pressure. Torsion load is assumed to be relatively small and is not considered in the method. In this paper, finite element analyses are conducted for 24-inch stainless steel pipe with a circumferential surface crac

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Li, Yinsheng, Kunio Hasegawa, and Akira Shibuya. "Prediction of Failure Bending Moment for a Pipe With an Arbitrary-Shaped Circumferential Flaw." In ASME 2009 Pressure Vessels and Piping Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/pvp2009-77062.

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When a flaw is detected in a stainless steel piping system, failure bending moment can be predicted by limit load criterion in accordance with Appendix E-8 in the JSME S NA-1-2004 and Appendix C in the ASME Code Section XI. However, in these current codes, the limit load criterion is only calculated for the case of a pipe containing a single flaw with constant depth, although the actual flaw depth is variable along the circumferential direction. Particularly, geometrical shapes of stress corrosion cracks are generally complex. The objective of this paper is to propose a method for predicting t

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Yue, Jingxia, Lihua Peng, Wengang Mao, Chi Zhang, Wei Dong, and Zhentao Zhu. "Research on Ship Structural Fatigue Damage Under Nonlinear Wave Bending Moment." In ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/omae2017-62328.

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Loads acting on ship structures are complex and randomly over time and the nonlinear effect caused by wave loading is one of the research focus. The linear and nonlinear vertical wave bending moment (VBM) in different speeds and sea states and their effects on ship structural fatigue strength were investigated for a flat container with high ratio of width to depth. The VBM under the linear regular waves and irregular waves were calculated based on the three dimension (3D) potential theory. The considered nonlinear wave loading was caused by sea pressure near the mean free surface as well as th

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Hurley, Shaun, and Madasamy Arockiasamy. "Reliability-Based Fatigue Life Estimation of Ocean Current Turbine Rotor Blades." In ASME 2011 30th International Conference on Ocean, Offshore and Arctic Engineering. ASMEDC, 2011. http://dx.doi.org/10.1115/omae2011-49760.

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The study presents a reliability-based fatigue life prediction model for the ocean current turbine rotor blades. Using the short-term distribution of the bending moment ranges, the 2-parameter Weibull distribution is used to fit the bending moment range data to obtain the long-term distribution. The long-term distribution is used to determine the number of load cycles for any given bending moment range. The published laboratory test data in the form of the ε-N curve is used in conjunction with the long-term distribution of the bending moment ranges in the prediction of the fatigue failure of t

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Varfolomeev, Igor, and Wolfgang Mayinger. "Consideration of Thermally Induced Bending Load in Failure Assessment of Piping Components." In ASME 2011 Pressure Vessels and Piping Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/pvp2011-57582.

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The primary goal of this paper is to demonstrate and validate the applicability of the failure assessment diagram (FAD) approach for predicting failure behavior of piping subjected to thermal loading caused by thermal stratification. The analysis is performed for an austenitic surge line of a PWR circuit where thermal gradients over both the pipe length and circumference produce high bending moments. For the most critical location, circumferential through-wall cracks of variable length are assumed and assessed with respect to their initiation and possible unstable propagation. The assessment r

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Horel, Boris, Benjamin Bouscasse, Arnaud Merrien, and Guillaume de Hauteclocque. "Experimental Assessment of Vertical Shear Force and Bending Moment in Severe Sea Conditions." In ASME 2019 38th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/omae2019-96272.

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Abstract Recent studies have benchmarked the prediction of wave vertical bending moment (VBM) of ship in waves [1][2], and found significant scatter among the numerical codes. Unfortunately, experimental data in extreme waves, that are relevant to ship design, are not often easily accessible, nor completely fitted to rigorous comparison to numerical codes. Then, the improvement of numerical tools and the modelling of ship’s internal loads still requires accurate experimental data measured in steep waves (ratio wave height H to wavelength λ, H/λ = 0.1) where the ship behavior and loads are modi

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Ren, F., and Z. C. Xia. "An Investigation of Drawbead Models for Springback Prediction." In ASME 2006 International Manufacturing Science and Engineering Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/msec2006-21016.

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Accurate prediction of springback for rail-type structures remains a significant challenge for automotive stamping. A major characteristic of forming such parts is that metals go through drawbeads and die-entry radii and often end up within part geometry (i.e., inside trimline). The bending-unbending stresses generated by drawbeads contribute significantly to the eventual springback. In production springback simulation, line drawbead models are generally used to represent the restraining forces provided by the real drawbeads for computational efficiency. While such models can be well correlate

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Karmakar, D., and C. Guedes Soares. "Extreme Response Prediction of Offshore Wind Turbine Using Inverse Reliability Technique." In ASME 2015 34th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/omae2015-42072.

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In the present study, the environmental contour method is applied for predicting out-of-plane bending moment loads at the blade root and tower base moment loads for 5MW offshore floating wind turbine of spar-type, DeepCWind and WindFloat semi-submersible floater configuration. FAST code is used to simulate the wind conditions for various return periods and a brief comparison on the design loads of the floating wind turbine for I-D, 2-D and 3-D environmental contour method is analyzed. In addition, a brief comparison of design loads with the spar-type, DeepCWind and WindFloat semi-submersible f

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