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Relevant bibliographies by topics / Computational mechanics

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Academic literature on the topic 'Computational mechanics'

Author: Grafiati

Published: 4 June 2021

Last updated: 19 April 2025

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Journal articles on the topic "Computational mechanics"

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Sadiku, Matthew N. O., Adedamola Omotoso, and Sarhan M. Musa. "Computational Mechanics." International Journal of Trend in Scientific Research and Development Volume-3, Issue-2 (February 28, 2019): 559–60. http://dx.doi.org/10.31142/ijtsrd21422.

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Infante Barbosa, Joaquim. "Symbolic computation in applied computational mechanics." Journal of Symbolic Computation 61-62 (February 2014): 1–2. http://dx.doi.org/10.1016/j.jsc.2013.10.004.

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Needleman, A. "Computational Mechanics." Applied Mechanics Reviews 38, no. 10 (October 1, 1985): 1282–83. http://dx.doi.org/10.1115/1.3143692.

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Computational methods play a key role in solid mechanics, as a way of modelling fundamental aspects of mechanical behavior, as a vehicle for transferring this improved modelling capability into new engineering tools, and as a means of utilizing these tools in engineering practice. Modern computational methods enable realistic models of mechanical systems to be formulated without regard as to whether or not analytical solutions are feasible. Increased computational capability is also an incentive for developing more accurate theories, since it becomes possible to use such theories to solve complex engineering problems.

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Schmauder, Siegfried. "Computational Mechanics." Annual Review of Materials Research 32, no. 1 (August 2002): 437–65. http://dx.doi.org/10.1146/annurev.matsci.32.103101.153157.

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Yagawa, Genki. "Computational Mechanics Education." TRENDS IN THE SCIENCES 8, no. 12 (2003): 70–71. http://dx.doi.org/10.5363/tits.8.12_70.

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Ghosh, S. K. "Computational mechanics '86." Journal of Mechanical Working Technology 16, no. 3 (June 1988): 358–59. http://dx.doi.org/10.1016/0378-3804(88)90071-x.

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Wriggers, Peter. "Computational contact mechanics." Computational Mechanics 49, no. 6 (May 24, 2012): 685. http://dx.doi.org/10.1007/s00466-012-0730-x.

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Celletti, Alessandra. "Computational celestial mechanics." Scholarpedia 3, no. 9 (2008): 4079. http://dx.doi.org/10.4249/scholarpedia.4079.

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Wriggers, P. "Computational Contact Mechanics." Computational Mechanics 32, no. 1-2 (September 1, 2003): 141. http://dx.doi.org/10.1007/s00466-003-0472-x.

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Prathap, Gangan. "Computational structural mechanics." Sadhana 21, no. 5 (October 1996): 523–24. http://dx.doi.org/10.1007/bf02744101.

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Dissertations / Theses on the topic "Computational mechanics"

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Denzer, Ralf. "Computational configurational mechanics." [S.l.] : [s.n.], 2006. http://deposit.ddb.de/cgi-bin/dokserv?idn=978669797.

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Zhu, Tulong. "Meshless methods in computational mechanics." Diss., Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/11795.

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Alipour, Skandani Amir. "Computational and Experimental Nano Mechanics." Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/64869.

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The many advances of nano technology extensively revolutionize mechanics. A tremendous need is growing to further bridge the gap between the classical mechanics and the nano scale for many applications at different engineering fields. For instance, the themes of interdisciplinary and multidisciplinary topics are getting more and more attention especially when the coherency is needed in diagnosing and treating terminal diseases or overcoming environmental threats. The fact that how mechanical, biomedical and electrical engineering can contribute to diagnosing and treating a tumor per se is both interesting and unveiling the necessity of further investments in these fields. This dissertation presents three different investigations in the area of nano mechanics and nano materials spanning from computational bioengineering to making mechanically more versatile composites. The first part of this dissertation presents a numerical approach to study the effects of the carbon nano tubes (CNTs) on the human body in general and their absorbability into the lipid cell membranes in particular. Single wall carbon nano tubes (SWCNTs) are the elaborate examples of nano materials that departed from mere mechanical applications to the biomedical applications such as drug delivery vehicles. Recently, experimental biology provided detailed insights of the SWCNTs interaction with live organs. However, due to the instrumental and technical limitations, there are still numerous concerns yet to be addressed. In such situation, utilizing numerical simulation is a viable alternative to the experimental practices. From this perspective, this dissertation reports a molecular dynamics (MD) study to provide better insights on the effect of the carbon nano tubes chiralities and aspect ratios on their interaction with a lipid bilayer membrane as well as their reciprocal effects with surface functionalizing. Single walled carbon nano tubes can be utilized to diffuse selectively on the targeted cell via surface functionalizing. Many experimental attempts have smeared polyethylene glycol (PEG) as a biocompatible surfactant to carbon nano tubes. The simulation results indicated that SWCNTs have different time-evolving mechanisms to internalize within the lipid membrane. These mechanisms comprise both penetration and endocytosis. Also, this study revealed effects of length and chirality and surface functionalizing on the penetrability of different nano tubes. The second part of the dissertation introduces a novel in situ method for qualitative and quantitative measurements of the negative stiffness of a single crystal utilizing nano mechanical characterization; nano indentation. The concept of negative stiffness was first introduced by metastable structures and later by materials with negative stiffness when embedded in a stiffer (positive stiffness) matrix. However, this is the first time a direct quantitative method is developed to measure the exact value of the negative stiffness for triglycine sulfate (TGS) crystals. With the advancements in the precise measuring devices and sensors, instrumented nano indentation became a reliable tool for measuring submicron properties of variety of materials ranging from single phase humongous materials to nano composites with heterogeneous microstructures. The developed approach in this chapter of the dissertation outlines how some modifications of the standard nano indentation tests can be utilized to measure the negative stiffness of a ferroelectric material at its Curie temperature. Finally, the last two chapters outline the possible improvements in the mechanical properties of conventional carbon fiber composites by introducing 1D nano fillers to them. Particularly, their viscoelastic and viscoplastic behavior are studied extensively and different modeling techniques are utilized. Conventional structural materials are being replaced with the fiber-reinforced plastics (FRPs) in many different applications such as civil structures or aerospace and car industries. This is mainly due to their high strength to weight ratio and relatively easy fabrication methods. However, these composites did not reach their full potential due to durability limitations. The majorities of these limitations stem from the polymeric matrix or the interface between the matrix and fibers where poor adhesion fails to carry the desired mechanical loadings. Among such failures are the time-induced deformations or delayed failures that can cause fatal disasters if not taken care of properly. Many methodologies are offered so far to improve the FRPs' resistance to this category of time-induced deformations and delayed failures. Several researchers tried to modify the chemical formulation of polymers coming up with stiffer and less viscous matrices. Others tried to modify the adhesion of the fibers to the matrix by adding different chemically functional groups onto the fibers' surface. A third approach tried to modify the fiber to matrix adhesion and at the same time improve the viscous properties of the matrix itself. This can be achieved by growing 1D nano fillers on the fibers so that one side is bonded to the fiber and the other side embedded in the matrix enhancing the matrix with less viscous deformability. It is shown that resistance to creep deformation and stress relaxation of laminated composites improved considerably in the presence of the nano fillers such as multiwall carbon nano tubes (MWCNTs) and zinc oxide nano wires (ZnO- NWs). The constitutive behaviors of these hybrid composites were investigated further through the use of the time temperatures superposition (TTS) principle for the linear viscoelastic behavior and utilizing phenomenological models for the viscoplastic behavior.
Ph. D.

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Hughes, Michael. "Computational magnetohydrodynamics." Thesis, University of Greenwich, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.284683.

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Barbaresi, Mattia. "Computational mechanics: from theory to practice." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/15649/.

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In the last fifty years, computational mechanics has gained the attention of a large number of disciplines, ranging from physics and mathematics to biology, involving all the disciplines that deal with complex systems or processes. With ϵ-machines, computational mechanics provides powerful models that can help characterizing these systems. To date, an increasing number of studies concern the use of such methodologies; nevertheless, an attempt to make this approach more accessible in practice is lacking yet. Starting from this point, this thesis aims at investigating a more practical approach to computational mechanics so as to make it suitable for applications in a wide spectrum of domains. ϵ-machines are analyzed more in the robotics scene, trying to understand if they can be exploited in contexts with typically complex dynamics like swarms. Experiments are conducted with random walk behavior and the aggregation task. Statistical complexity is first studied and tested on the logistical map and then exploited, as a more applicative case, in the analysis of electroencephalograms as a classification parameter, resulting in the discrimination between patients (with different sleep disorders) and healthy subjects. The number of applications that may benefit from the use of such a technique is enormous. Hopefully, this work has broadened the prospect towards a more applicative interest.

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Mocanita, Mihaela Ancuta. "Computational mechanics of welding complex structures." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0021/MQ57733.pdf.

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Borrvall, Thomas. "Computational topology optimization in continuum mechanics /." Linköping : Univ, 2002. http://www.bibl.liu.se/liupubl/disp/disp2002/tek744s.pdf.

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Pearce, C. J. "Computational plasticity in concrete failure mechanics." Thesis, Swansea University, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.638434.

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A constitutive model for plain concrete is presented, centred around a fracture energy based plasticity formulation. The essential ingredients of a concrete strength envelope are realised (such as a non-linear hydrostatic pressure dependence, a non-circular deviatoric trace and a realistic biaxial trace) by utilising the well known Five Parameter Model of William/Warnke as the basis of an Enhanced Five Parameter Model. This model is capable of a complex loading surface evolution for capturing both the pre and post peak regimes of concrete. In particular, the post peak tensile softening is introduced exponentially, controlled by the fracture energy release rate. Several computational aspects of rate independent plasticity, with reference to the Enhanced Five Parameter Model are investigated. Finite stress increments are integrated using a backward Euler stress return formulation, solved by the Newton Raphson method. However, due to the complex nature of the proposed loading surface, this approach has been found not to be fully robust and in need of improvement. As such, controlled scaling of the stress update is introduced as well as improved starting predictions of the final solution via an analytical return to an intermediate auxiliary loading surface. The conditions necessary for discontinuous bifurcation of strain rates are discussed and the localisation tensor is introduced. Furthermore, spectral analysis of the localisation tensor is utilised to predict impending localisation and a scalar failure indicator is proposed to monitor the evolution of discontinuities. With particular application to the proposed concrete model, studies of localisation problems revealed that some form of mesh alignment is essential if impending bifurcation and orientation of discontinuities produced by the localisation analysis is to be resolved. Moreover, the effect on the overall response of a non-aligned mesh is shown to be significant.

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Mocanita, Mihaela Ancuta Carleton University Dissertation Engineering Mechanical and Aerospace. "Computational mechanics of welding complex structures." Ottawa, 2000.

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Wu, Fei. "Parallel computational methods for constrained mechanical systems." Diss., The University of Arizona, 1997. http://hdl.handle.net/10150/282561.

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Two methods suitable for parallel computation in the study of mechanical systems with holonomic and nonholonomic constraints are presented: one is an explicit solution based on generalized inverse algebra; the second solves problems of this class through the direct application of Gauss' principle of least constraint and genetic algorithms. Algorithms for both methods are presented for sequential and parallel implementations. The method using generalized inverses is able to solve problems that involve redundant, degenerate and intermittent constraints, and can identify inconsistent constraint sets. It also allows a single program to perform pure kinematic and dynamic analyses. Its computational cost is among the lowest in comparison with other methods. In addition, constraint violation control methods are investigated to improve integration accuracy and further reduce computational cost. Constrained dynamics problems are also solved using optimization methods by applying Gauss' principle directly. An objective function that incorporates constraints is derived using a symmetric scheme, which is implemented using genetic algorithms in a parallel computing environment. It is shown that this method is capable of solving the same cases of constraints as the former method. Examples and numerical experiments demonstrating the applications of the two methods to constrained multiparticle and multibody systems are presented.

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Books on the topic "Computational mechanics"

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Soares, Carlos A. Mota, João A. C. Martins, Helder C. Rodrigues, and Jorge A. C. Ambrósio, eds. Computational Mechanics. Dordrecht: Springer Netherlands, 2006. http://dx.doi.org/10.1007/978-1-4020-4979-8.

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Yao, Z. H., and M. W. Yuan. Computational Mechanics. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-75999-7.

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Izaac, Joshua, and Jingbo Wang. Computational Quantum Mechanics. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99930-2.

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Atluri, S. N., and G. Yagawa, eds. Computational Mechanics ’88. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-61381-4.

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Wriggers, Peter, and Tod A. Laursen, eds. Computational Contact Mechanics. Vienna: Springer Vienna, 2007. http://dx.doi.org/10.1007/978-3-211-77298-0.

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Guccione, Julius M., Ghassan S. Kassab, and Mark B. Ratcliffe, eds. Computational Cardiovascular Mechanics. Boston, MA: Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-0730-1.

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Shabana, Ahmed A., ed. Computational Continuum Mechanics. Chichester, UK: John Wiley & Sons, Ltd, 2018. http://dx.doi.org/10.1002/9781119293248.

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Konyukhov, Alexander, and Karl Schweizerhof. Computational Contact Mechanics. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-31531-2.

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Yagawa, Genki, and Satya N. Atluri, eds. Computational Mechanics ’86. Tokyo: Springer Japan, 1986. http://dx.doi.org/10.1007/978-4-431-68042-0.

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Atluri, S. N., G. Yagawa, and Thomas Cruse, eds. Computational Mechanics ’95. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-642-79654-8.

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Book chapters on the topic "Computational mechanics"

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Stavroulakis, Georgios E. "Computational Mechanics." In Applied Optimization, 11–54. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-0019-3_2.

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Portela, Artur, and Abdellatif Charafi. "Computational Mechanics." In Finite Elements Using Maple, 45–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-642-55936-5_2.

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Komzsik, Louis. "Computational mechanics." In Applied Calculus of Variations for Engineers, 237–62. Third edition. | Boca Raton, FL : CRC Press/Taylor and Francis, [2020]: CRC Press, 2019. http://dx.doi.org/10.1201/9781003009740-12.

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Oden, J. Tinsley. "Computational Mechanics." In Encyclopedia of Applied and Computational Mathematics, 266–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-540-70529-1_161.

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Herakovich, Carl T. "Computational Mechanics." In A Concise Introduction to Elastic Solids, 95–100. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-45602-7_15.

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Abali, Bilen Emek. "Mechanics." In Computational Reality, 1–110. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2444-3_1.

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Pourfath, Mahdi. "Statistical Mechanics." In Computational Microelectronics, 75–103. Vienna: Springer Vienna, 2014. http://dx.doi.org/10.1007/978-3-7091-1800-9_5.

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Lewars, Errol G. "Molecular Mechanics." In Computational Chemistry, 45–83. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-90-481-3862-3_3.

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Lewars, Errol G. "Molecular Mechanics." In Computational Chemistry, 51–99. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30916-3_3.

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Lewars, Errol G. "Molecular Mechanics." In Computational Chemistry, 55–103. Cham: Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-51443-2_3.

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Conference papers on the topic "Computational mechanics"

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Bisht, Akansha, Neha Kumari, and Yasha Hasija. "From Atoms to Applications: Computational Insights in Nano mechanics." In 2024 3rd International Conference on Computational Modelling, Simulation and Optimization (ICCMSO), 350–55. IEEE, 2024. http://dx.doi.org/10.1109/iccmso61761.2024.00076.

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Majak, Jüri, and M. Di Sciuva. "Preface: Computational Mechanics." In INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2019. AIP Publishing, 2020. http://dx.doi.org/10.1063/5.0026521.

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Dorn, C., and S. Wulfinghoff. "Computational micro-magneto-mechanics." In 8th European Congress on Computational Methods in Applied Sciences and Engineering. CIMNE, 2022. http://dx.doi.org/10.23967/eccomas.2022.068.

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Fernandes, Paulo R., and Marta R. Dias. "Computational modelling in bone mechanics." In 2011 1st Portuguese Meeting in Bioengineering ¿ The Challenge of the XXI Century (ENBENG). IEEE, 2011. http://dx.doi.org/10.1109/enbeng.2011.6026079.

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González, D., F. Chinesta, and E. Cueto. "Consistent data-driven computational mechanics." In PROCEEDINGS OF THE 21ST INTERNATIONAL ESAFORM CONFERENCE ON MATERIAL FORMING: ESAFORM 2018. Author(s), 2018. http://dx.doi.org/10.1063/1.5034931.

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Serna, Sebastian Pena, and Andre Stork. "Computer Design in Computational Mechanics." In 2009 International Conference on Computing, Engineering and Information (ICC). IEEE, 2009. http://dx.doi.org/10.1109/icc.2009.71.

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Burda, R., and P. Rudolf. "COMPUTATIONAL SIMULATION OF CAVITATION BUBBLE COLLAPSE." In Engineering Mechanics 2020. Institute of Thermomechanics of the Czech Academy of Sciences, Prague, 2020. http://dx.doi.org/10.21495/5896-3-094.

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Kudláček, P., P. Novotný, and J. Vacula. "Computational estimation of sealing gas blowby." In Engineering Mechanics 2022. Institute of Theoretical and Applied Mechanics of the Czech Academy of Sciences, Prague, 2022. http://dx.doi.org/10.21495/51-2-233.

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CHAMIS, CHRISTOS. "Computational structural mechanics for engine structures." In 30th Structures, Structural Dynamics and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1989. http://dx.doi.org/10.2514/6.1989-1260.

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Michels, Dominik L., and J. Paul T. Mueller. "Discrete computational mechanics for stiff phenomena." In SA '16: SIGGRAPH Asia 2016. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2988458.2988464.

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Reports on the topic "Computational mechanics"

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Raboin, P. J. Computational mechanics. Office of Scientific and Technical Information (OSTI), January 1998. http://dx.doi.org/10.2172/15009523.

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Goudreau, G. L. Computational mechanics. Office of Scientific and Technical Information (OSTI), March 1993. http://dx.doi.org/10.2172/10194488.

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Goudreau, G. L. ,. LLNL. Computational mechanics. Office of Scientific and Technical Information (OSTI), February 1997. http://dx.doi.org/10.2172/16316.

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Lechman, Jeremy B., Andrew David Baczewski, Stephen Bond, William W. Erikson, Richard B. Lehoucq, Lisa Ann Mondy, David R. Noble, et al. Computational Mechanics for Heterogeneous Materials. Office of Scientific and Technical Information (OSTI), November 2013. http://dx.doi.org/10.2172/1325910.

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Borah, Bolindra N., Robert E. White, A. Kyrillidis, S. Shankarlingham, and Y. Ji. Computational Methods in Continuum Mechanics. Fort Belvoir, VA: Defense Technical Information Center, November 1993. http://dx.doi.org/10.21236/ada278144.

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Borah, Bolindra N., Robert E. White, A. Kyrillidis, S. Shankarlingham, and Y. Ji. Computational Methods in Continuum Mechanics. Fort Belvoir, VA: Defense Technical Information Center, November 1993. http://dx.doi.org/10.21236/ada275560.

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Riveros, Guillermo, Felipe Acosta, Reena Patel, and Wayne Hodo. Computational mechanics of the paddlefish rostrum. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/41860.

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Purpose – The rostrum of a paddlefish provides hydrodynamic stability during feeding process in addition to detect the food using receptors that are randomly distributed in the rostrum. The exterior tissue of the rostrum covers the cartilage that surrounds the bones forming interlocking star shaped bones. Design/methodology/approach – The aim of this work is to assess the mechanical behavior of four finite element models varying the type of formulation as follows: linear-reduced integration, linear-full integration, quadratic-reduced integration and quadratic-full integration. Also presented is the load transfer mechanisms of the bone structure of the rostrum. Findings – Conclusions are based on comparison among the four models. There is no significant difference between integration orders for similar type of elements. Quadratic-reduced integration formulation resulted in lower structural stiffness compared with linear formulation as seen by higher displacements and stresses than using linearly formulated elements. It is concluded that second-order elements with reduced integration and can model accurately stress concentrations and distributions without over stiffening their general response. Originality/value – The use of advanced computational mechanics techniques to analyze the complex geometry and components of the paddlefish rostrum provides a viable avenue to gain fundamental understanding of the proper finite element formulation needed to successfully obtain the system behavior and hot spot locations.

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Desbrun, Mathieu, and Marin Kobilarov. Geometric Computational Mechanics and Optimal Control. Fort Belvoir, VA: Defense Technical Information Center, December 2011. http://dx.doi.org/10.21236/ada564028.

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Liu, Wing K., and Ted Belytschko. Gridless Computational Methods for Penetration Mechanics. Fort Belvoir, VA: Defense Technical Information Center, February 1999. http://dx.doi.org/10.21236/ada384405.

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Grandhi, Ramana V. Computational Mechanics Approach for Multidisciplinary Nonlinear Sensitivity Analysis. Fort Belvoir, VA: Defense Technical Information Center, June 2003. http://dx.doi.org/10.21236/ada416568.

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