Relevant bibliographies by topics / Simulation software

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Simulation software'

Author: Grafiati
Published: 4 June 2021
Last updated: 9 June 2025

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Journal articles on the topic "Simulation software"

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Harwood, Keith. "Simulation software." New Scientist 193, no. 2590 (February 2007): 19. http://dx.doi.org/10.1016/s0262-4079(07)60336-4.

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Lepley, Cyndi J. "Simulation Software." JONA: The Journal of Nursing Administration 31, no. 7/8 (July 2001): 377–85. http://dx.doi.org/10.1097/00005110-200107000-00009.

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Sadeghi, Payman, and Michael D. Utzinger. "Simulation Software Application." International Journal of Environmental Sustainability 8, no. 1 (2012): 131–46. http://dx.doi.org/10.18848/2325-1077/cgp/v08i01/55040.

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Banerjee, S. "CMS Simulation Software." Journal of Physics: Conference Series 396, no. 2 (December 13, 2012): 022003. http://dx.doi.org/10.1088/1742-6596/396/2/022003.

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Holder, Karen. "Selecting simulation software." OR Insight 3, no. 4 (October 1990): 19–24. http://dx.doi.org/10.1057/ori.1990.32.

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Galić, Mario, Ralf Thronicke, Benjamin Michael Schreck, Immo Feine, and Hans-Joachim Bargstädt. "PROCESS MODELING AND SCENARIO SIMULATION IN CONSTRUCTION USING ENTERPRISE DYNAMICS SIMULATION SOFTWARE." Elektronički časopis građevinskog fakulteta Osijek 6, no. 10 (July 2, 2015): 22–29. http://dx.doi.org/10.13167/2015.10.3.

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Corti, Gloria, Adam Davis, Michał Kreps, Michal Mazurek, Dmitry Popov, and Benedetto Gianluca Siddi. "New software technologies in the LHCb Simulation." Journal of Physics: Conference Series 2438, no. 1 (February 1, 2023): 012108. http://dx.doi.org/10.1088/1742-6596/2438/1/012108.

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Abstract Monte Carlo simulations are key to the design and commissioning of new detectors as well as the interpretation of physics measurements. The amount of simulated samples required for the Run 3 physics program of the LHCb experiment will increase significantly from 2022 onward to match the increase in the amount of data collected with respect to Run 1 and 2 operation. A new version of the LHCb Gauss simulation framework has been developed to better accommodate new simulation techniques and software technologies to produce the necessary samples within the computing resources allocated for the next few years. It provides the LHCb specific functionality while the generic simulation infrastructure has been encapsulated in an experiment-independent framework, GAUSSINO. The latter combines the GAUDI core software framework and the GEANT4 simulation toolkit and fully exploits their multi-threading capabilities. Fast simulation interface is the latest feature being developed in GAUSSINO to interact with GEANT4 giving the possibility of replacing its detailed description of physics processes with an extensive palette of fast simulation models for a specific LHCb sub-detector. A facility to ease the production of training datasets for fast simulations models has also been introduced.
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Wang, Shihao. "Software Simulation for Hardware/Software Co-Verification." Journal of Computer Research and Development 42, no. 3 (2005): 514. http://dx.doi.org/10.1360/crad20050322.

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Shaikh, Habib, Rishabh Mehra, Sagar Mhatre, and Deepali Vora. "Psychoanalysis using Software Simulation." International Journal of Computer Applications 182, no. 47 (April 11, 2019): 6–9. http://dx.doi.org/10.5120/ijca2019918700.

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Hutagalung, Cerlinto. "Banker Algorithm Simulation Software." Instal : Jurnal Komputer 12, no. 02 (October 26, 2021): 61–68. http://dx.doi.org/10.54209/jurnalkomputer.v12i02.22.

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Banker's algorithm is an algorithm that models a bank in a small town dealing with a set of customers. This banker algorithm is used to deal with queuing problems in banking. In this case, one of them is how to simulate queues in banking. In this study, the design and manufacture of simulation software is used to help simulate whether a system is in a safe state or an unsafe state, in a safe condition the process is continued but if the process is unsafe the process is delayed until the system is in a safe state. The result of this research is a banker algorithm simulation software that models a banker who is dealing with a group of customers in a bank.
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Dissertations / Theses on the topic "Simulation software"

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Mårtensson, Frans, and Per Jönsson. "Software Architecture Simulation." Thesis, Blekinge Tekniska Högskola, Institutionen för programvaruteknik och datavetenskap, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4087.

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A software architecture is one of the first steps towards a software system. A software architecture can be designed in different ways. During the design phase, it is important to select the most suitable design of the architecture, in order to create a good foundation for the system. The selection process is performed by evaluating architecture alternatives against each other. We investigate the use of continuous simulation of a software architecture as a support tool for architecture evaluation. For this purpose, we study a software architecture of an existing software system in an experiment, where we create a model of it using a tool for continuous simulation, and simulate the model. Based on the results from the simulation, we conclude that the system is too complex to be modeled for continuous simulation. Problems we identify are that we need discrete functionality to be able to correctly simulate the system, and that it is very time-consuming to develop a model for evaluation purposes. Thus, we find that continuous simulation is not appropriate for evaluating a software architecture, but that the modeling process is a valuable tool for increasing knowledge and understanding about an architecture.
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Calle, Juan Carlos. "Indoor propagation simulation software." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2000. http://handle.dtic.mil/100.2/ADA383980.

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Thesis (M.S. in Electrical Engineering) Naval Postgraduate School, Sept.ember 2000.<br>Thesis advisors, Lebaric, Jovan ; Adler, Richard. "September 2000." Includes bibliographical references (p. 45-46). Also available online.
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Marques, João Miguel Resende. ""GWB" simulation software development." Master's thesis, Universidade de Aveiro, 2009. http://hdl.handle.net/10773/1768.

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Mestrado em Engenharia e Gestão Industrial<br>Nas últimas décadas, a evolução da indústria alcançou uma extrema importância na nossa vida pessoal e também no comportamento empresarial. O conjunto de ferramentas existentes nos computadores representam um papel fundamental na comunicação, nas estratégias, nas decisões, nos sistemas de análise de processos das nossas empresas, entre outras. Os software são normalmente concebidos para permitir aos os seres humanos realizar tarefas para as quais o cérebro humano não é capaz, tais como: manipulação de grandes quantidades de informação, realização de cálculos complexos, e controlar simultâneamente muitos processos. Este projecto final foi desenvolvido exactamente sobre a disciplina de software. O presente documento mostra como uma empresa multinacional desenvolve internamente um novo software modular. Algumas técnicas serão investigadas e aplicadas a um problema real existente na empresa Robert Bosch-Bélgica, pertencente ao sector automóvel e principal responsável mundial pela produção de limpa pará-vidros. Aqui se encontrará uma sugestão para uma metodologia do ciclo de vida de um software e será explicado passo a passo todos os aspectos deste processo, desde a criação até ao desenvolvimento desta nova ferramenta de cálculo de apoio à decisão para o design. Esta metodologia foi aplicada à empresa permitindo assim a criação de um manual para o software de simulação chamado “GWB”. Mais precisamente, este projecto descreve a fase de testes, definido como a validação. Esta fase inclui um planeamento e execução de testes do software. Estes resultados foram analisados e comparados com as medições reais. Com base em conhecimentos anteriores, foi conseguido melhorar a precisão do software quer em parâmetros de produção quer em parâmetros de comportamento real dos limpa pará-brisas. Com a criação do manual e do melhoramento do software foram alcançados os dois objectivos principais envolvidos neste estágio. Este trabalho contribuiu significativamente para o desenvolvimento do software de simulação da Robert Bosch, no entanto, é sugerido um conjunto de acções futuras. Estas têm como objectivo ajudar no desenvolvimento do “GWB” para uma implementação adequada no processo de produção de limpa pará-brisas. ABSTRACT: In the last decades the evolution of software industry has reached an extreme importance in our personal daily life and also in the companies behavior. The existing sets of tools represent a vital role in our company’s communications, strategies, decisions supports, systems and process analysis, among others. Software is typically designed to enable humans to perform tasks which the human brain is not well capable, such as: handling large amounts of information, performing complex calculations, and controlling many simultaneous processes. This final project was developed based under the subject software. The present document shows how a multinational enterprise develops internally a new modulate software. Some techniques will be investigated and applied to a real life problem existing in the successful Robert Bosch-Belgium company at the automobile industry world responsible for the production of wiper blades. Here you will find a suggestion of a software life cycle methodology and an explanation step by step of all the aspects of this process from the creation to the development of a new calculation tool for design decision support. This methodology was applied to the company thus enabling to create a handbook for the simulation software called “GWB”. More precisely this project describes the testing phase, defined as validation. This phase contains the planning and execution of software tests. These results were analyzed and compared with real measurements. Based on previous knowledge, was able to improve the accuracy of the software either in production parameters or on parameters of actual behavior. With the creation of the manual and the software improvement two main objectives involved in this internship were accomplished. This work contributed significantly to the development of the Robert Bosch simulation software. However, it is suggested several future actions. To assist in the development of the “GWB” tool for a proper implementation in the wiper blade production process.
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Wu, Chun-ho. "Learning marketing through simulation software." Click to view the E-thesis via HKUTO, 2005. http://sunzi.lib.hku.hk/hkuto/record/B40040239.

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Ippolito, Corey A. "Software architectures for flight simulation." Thesis, Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/15749.

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Wu, Chun-ho, and 胡俊豪. "Learning marketing through simulation software." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2005. http://hub.hku.hk/bib/B40040239.

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Persson, Simon. "Simulation of processing equipment and evaluation of simulation software." Thesis, Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-79073.

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The cab assembly line in Oskarshamn is one of the world's most high tech production unit. With close to 300 robots the cab is assembled with merely programmed robots and no input from humans. Scania CV AB is a world leading manufacturer of trucks with high influence on the market globally. Even though robots do most of the work, there have been human brains behind the robot execution, and there is constant work ongoing to further increase efficiency and cycle times to meet the increasing global demand for logistics services. The robots are mainly programmed offline, using the ABB software Robotstudio, which basically creates a digital representation of the actual control system without interfering with the production. Testing upgraded programs as well as simulating them offline before implementation is an essential daily operation to make the production meet the demands. This thesis is divided into two objectives, one theoretical and one practical. The theoretical part focuses on the software, and consists of a critical analysis of a series of different software solutions for programming robots offline, as well as a look into how the offline programming processes work today in-house. The practical objective is to further improve the quality of the simulations conducted through creating tools to answer the calls from functional packages for the different processing equipment used on site. These functional packages lets you perform spot welding, gluing or gripping for instance, and as it is an outsourced service a lot of the coding is encrypted which prevents simulations being conducted with the pre-programmed routines, it makes the simulations crash. This report presents conclusions made regarding the use of offline programming equipment both in the regards of daily operations as well as long term strategies with digital twins and digitization. It also proves that the functional packages still can be simulated even though the code has been manipulated and encrypted at one point. It holds the complete ways of how to, from a 3D CAD model, create mechanisms, synchronize external axes, and creating smart components to answer digital inputs and presenting digital outputs to the system to have a fully functional simulation run.
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Israeli, Gilad. "Software Simulation of Numerically Controlled Machining." Thesis, University of Waterloo, 2006. http://hdl.handle.net/10012/2921.

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The field of numerically controlled (NC) machining has long been interested with predicting and measuring the errors in machining. Creating a simulation of NC machining is one way of achieving this. This thesis presents one such implementation of an NC simulation. It also runs a number of numerical and physical tests to verify the simulation?s correctness. The numerical tests show that the simulator work correctly as well as providing guide lines for appropriate simulation parameters. The physical tests show that the results of the simulation match the results of real NC machines. It is hoped that this thesis can provide a guide for the creation of machining simulators and their verification.
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Shynkariuk, Oleksandr. "Production Cell Simulation and Control Software." Thesis, Linnéuniversitetet, Institutionen för datavetenskap (DV), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-30639.

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Control software plays an important role in industrial automation. Several domainspecific languages for control software implementation were designed and accepted in industry. Structured Text (ST)[1] is one of these languages. It is standardized by IEC 61131-3 standard and designed for programmable logic controllers. In this thesis two implementations of control software were developed: Java implementation as a reference model, and ST implementation as a test scenario for ST to C compiler. The functionality of both implementations was compared using the simulation model. It was concluded that resulting ST control software provides the same functionality as its reference model.
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Richards, A. J. "Simulation, software and first ATLAS physics." Thesis, University College London (University of London), 2011. http://discovery.ucl.ac.uk/1318105/.

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Updates to the ATLAS fast simulation software are presented which improve the flexibility of its calorimeter and reconstructor objects allowing the easy implementation of new and unforeseen detector effects. Both hot and dead cell types are studied as initial examples and can be seen to be working as expected. A suite of jet finding algorithms known as ‘FastJet’ is introduced and linked into the ATLAS code framework to help unify the description of jets between fast and full simulations as well as in the reconstruction of data. Preparations for an early-data supersymmetry search in the 0-lepton, jets and ETmiss T channel are presented which, in the absence of a study of the background systematics, show the validity of the channel in detecting the ‘SU3’ mSUGRA benchmark point above the combined standard model background. The most up-to-date publication observes good agreement between the simulated SM background and data up to values of ETmiss ~100 GeV and Meff ~1500 GeV showing a good understanding of both detector and physics simulation and that the real ATLAS detector is performing as expected. The first ATLAS inclusive measurement of charged particle multiplicities in events with nch ≥ 1 within the kinematic range pT > 500 GeV and |η| < 2.5 is discussed. With a measured charged particle multiplicity per event and per unit of pseudorapidity at η = 0 of 1.333 ± 0.003(stat.) ±0.040(syst.) being some 5-15% higher than predicted, clear differences are evident between the Monte Carlo predictions and what is observed in the data. Contributions from the author including trigger efficiency studies, a ‘Rivet’ analysis routine, a simple simulation of the MBTS as well as the creation of a fast trigger simulation of the MBTS triggers L1_MBTS_1, L1_MBTS_2 and L1_MBTS_1_1 are detailed.
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Books on the topic "Simulation software"

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Nutaro, James J. Building Software for Simulation. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2010. http://dx.doi.org/10.1002/9780470877999.

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Calle, Juan Carlos. Indoor propagation simulation software. Monterey, Calif: Naval Postgraduate School, 2000.

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D, Lee J., ed. Simulation software for robotics. Oxford: Pergamon Press, 1989.

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O'Malley, Douglas Michael. Evaluation of building energy simulation software. Ottawa: National Library of Canada, 1993.

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Kostyuk, Leonid Yu, Irina V. Krivykh, and Stanislav G. Slusarenko. Power grid simulation software IndorElectra: User’s guide. Tomsk: Tomsk state university, 2008. http://dx.doi.org/10.17273/book.2008.4.

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A, Quincy E., and United States. National Telecommunications and Information Administration, eds. Radio link performance prediction via software simulation. [Boulder, Colo.]: U.S. Dept. of Commerce, National Telecommunications and Information Administration, 1999.

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United States. National Aeronautics and Space Administration, ed. Orbital flight simulation utility software unit specifications. Houston, Tex: System Development Division, TRW Defense Systems Group, 1986.

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Information, Advanced Manufacturing, ed. Simulation and analysis software for engineering design. London: Institution of Electrical Engineers, 1985.

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Tausworthe, Robert C. A general software reliability process simulation technique. Pasadena, Calif: National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1991.

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Inc, MathWorks, ed. SIMULINK: Dynamic system simulation software : release notes. Natick, Mass: MathWorks, Inc., 1994.

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Book chapters on the topic "Simulation software"

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Robinson, Stewart. "Inside Simulation Software." In Simulation, 21–47. London: Macmillan Education UK, 2014. http://dx.doi.org/10.1007/978-1-137-32803-8_2.

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Robinson, Stewart. "Software for Simulation." In Simulation, 48–63. London: Macmillan Education UK, 2014. http://dx.doi.org/10.1007/978-1-137-32803-8_3.

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Yang, Yang, Jing Xu, Guang Shi, and Cheng-Xiang Wang. "Software Simulation." In 5G Wireless Systems, 157–233. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61869-2_4.

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Allen, B. W. "Software Simulation." In Analogue Electronics for Higher Studies, 204–14. London: Macmillan Education UK, 1995. http://dx.doi.org/10.1007/978-1-349-13364-2_12.

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Münch, Jürgen, Ove Armbrust, Martin Kowalczyk, and Martín Soto. "Software Process Simulation." In The Fraunhofer IESE Series on Software and Systems Engineering, 187–210. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-24291-5_7.

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Nagasaki, Masao, Ayumu Saito, Atsushi Doi, Hiroshi Matsuno, and Satoru Miyano. "Pathway Simulation Software." In Foundations of Systems Biology, 19–24. London: Springer London, 2009. http://dx.doi.org/10.1007/978-1-84882-023-4_3.

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Zeng, Gengsheng Lawrence, and Megan Zeng. "Circuit Simulation Software." In Electric Circuits, 67–72. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-60515-5_10.

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Walker, Robert J., and Reid Holmes. "Simulation." In Recommendation Systems in Software Engineering, 301–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-45135-5_12.

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Garrido, Joés M. "Programs and Software Development." In Object Oriented Simulation, 45–50. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-0516-1_4.

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Laschet, Andreas. "Struktur der Software für die Schwingungssimulation." In Fachberichte Simulation, 345–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-83531-5_12.

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Conference papers on the topic "Simulation software"

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Chaves, Rafael O., Elói L. Favero, Emanuel M. da C. Tavares, and Sandro R. B. Oliveira. "A Software Process Simulator Machine for Software Engineering Simulation Games." In 2010 Brazilian Symposium on Games and Digital Entertainment (SBGAMES). IEEE, 2010. http://dx.doi.org/10.1109/sbgames.2010.35.

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Deng, Ziyan. "BESIII Simulation Software." In XI International Workshop on Advanced Computing and Analysis Techniques in Physics Research. Trieste, Italy: Sissa Medialab, 2009. http://dx.doi.org/10.22323/1.050.0043.

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Markt, Pam Laney, and Michael H. Mayer. "WITNESS simulation software." In the 29th conference. New York, New York, USA: ACM Press, 1997. http://dx.doi.org/10.1145/268437.268613.

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Wagner, Stefan, Dirk Pflüger, and Miriam Mehl. "Simulation software engineering." In SC15: The International Conference for High Performance Computing, Networking, Storage and Analysis. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2830168.2830171.

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Schriber, Thomas J., and Daniel T. Brunner. "Inside simulation software." In the 28th conference. New York, New York, USA: ACM Press, 1996. http://dx.doi.org/10.1145/256562.256566.

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Banks, Jerry. "Software for simulation." In the 28th conference. New York, New York, USA: ACM Press, 1996. http://dx.doi.org/10.1145/256562.256568.

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Banks, Jerry. "Software for simulation." In the 25th conference. New York, New York, USA: ACM Press, 1993. http://dx.doi.org/10.1145/256563.256575.

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Banks, Jerry. "Software for simulation." In the 27th conference. New York, New York, USA: ACM Press, 1995. http://dx.doi.org/10.1145/224401.224414.

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Schriber, Thomas J., and Daniel T. Brunner. "Inside simulation software." In the 27th conference. New York, New York, USA: ACM Press, 1995. http://dx.doi.org/10.1145/224401.224441.

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Reiso, Edel, Haakon Hoegstoel, Vegard Kippe, Trygve Kløv, Jan Inge Logstein, Alf Birger Rustad, Torbjørn Skille, Atgeirr Flø Rasmussen, Tor Harald Sandve, and Markus Blatt. "Lessons Learned in Using Open-Source Simulation Software on Real Asset Models." In SPE Reservoir Simulation Conference. SPE, 2025. https://doi.org/10.2118/223851-ms.

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Abstract An open-source flow simulator (OPM Flow) has been developed for modelling of flow in porous media. This is an extended black oil simulator, including thermal modelling, salinity, and CO2 storage modelling in aquifers with several corresponding and extended EOS functionalities. The OPM Flow simulator has been implemented on several real asset models for hydrocarbon production, for ensembles of simulation models. The simulator has also been used for CCS in saline aquifers (Carbon Capture and Storage). This paper describes the experiences in using open-source simulation software for studies on real producing assets. OPM Flow supports Multi Segment Well model and flow control modelling, hysteresis, gas tracer, reservoir coupling, network modelling, gas lift optimization. There is an on-going effort to fully support LGR and reservoir coupling. Some of these features are present in the real asset models presented in this paper. The open-source simulator is based on efficient numerical methods, which allows for the possibility to simulate large simulation models with many and complex wells. Simulation results for benchmarking cases indicate that OPM Flow runs have reduced computation time, both for serial and parallel runs and the parallelization scales well. This is illustrated for the asset model cases presented in this paper. The use of open-source software for reservoir simulations on real asset models requires good maintenance, support and stability of the software. A robust maintenance and support solution based on open-source development has been established, to support the implementation of OPM Flow on the selected operating assets. This has also been important for further developments and improvements of the modelling features for the different assets presented in this paper. This paper presents the application of an open-source flow simulator and discusses the results for several real asset simulation models. The physics, functionalities and modelling challenges for the considered asset models is investigated. Challenges in well, group and network modelling are discussed. The asset models' simulations with OPM Flow have been performed with the same functionalities as used with commercial software and the simulation results are comparable. Efficient and scalable parallelization of the simulator core and linear solver preconditioners has been essential for the implementation on the asset models. Performance and comparisons of CPU time for serial and parallel simulations are discussed. Robustness of ensemble simulations and efficient input error control and reporting has been investigated for the applications on the real asset models. Comparisons are done with other simulators. The paper describes application of open-source software for flow simulations on real assets. New opportunities in using open-source software are illustrated, with respect to robustness, maintenance and support, computation time, scalability and modelling challenges.
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Reports on the topic "Simulation software"

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Ketcham, Ronald L., and Paul R. Muessig. Software Engineering and Simulation Credibility. Fort Belvoir, VA: Defense Technical Information Center, August 2001. http://dx.doi.org/10.21236/ada405033.

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Goldsby, Michael E., Daniel Fellig, John Michael Linebarger, Patrick Curtis Moore, Timothy J. Sa, and Marilyn F. Hawley. Integrating software architectures for distributed simulations and simulation analysis communities. Office of Scientific and Technical Information (OSTI), October 2005. http://dx.doi.org/10.2172/875606.

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Ozmen, Ozgur, James J. Nutaro, Jibonananda Sanyal, and Mohammed M. Olama. Simulation-based Testing of Control Software. Office of Scientific and Technical Information (OSTI), February 2017. http://dx.doi.org/10.2172/1343541.

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Scott, Andrew. Development of Simulation Software for NPT-MD. Fort Belvoir, VA: Defense Technical Information Center, November 2004. http://dx.doi.org/10.21236/ada429450.

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Nichols, James, Thomas J. Magyar, and Eric C. Schug. A Cross-Platform Multi-Simulation Software Executive. Fort Belvoir, VA: Defense Technical Information Center, January 1998. http://dx.doi.org/10.21236/ada350847.

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Quincy, Edmund, Robert Achatz, Michael Cotton, Jeanne Ratzloff, and Michael Roadifer. Radio Link Performance Prediction via Software Simulation. Boulder, CO: Institute for Telecommunication Sciences, October 1999. https://doi.org/10.70220/rbjhwgb9.

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Frazier, John, Yaroslav Chusak, and Brent Foy. Stochastic Simulation of Biomolecular Reaction Networks Using the Biomolecular Network Simulator Software. Fort Belvoir, VA: Defense Technical Information Center, February 2008. http://dx.doi.org/10.21236/ada484775.

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Abdolmaleki, Kourosh. PR-453-205101-R02 On-Bottom Dynamic Simulation. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), April 2023. http://dx.doi.org/10.55274/r0012257.

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Abstract:
This report presents a number of newly added features to the OBS software relevant to the dynamic simulation of pipelines. The additions include a function to extract on-bottom wave induced velocities and hydrodynamic forces on a given length of pipeline with arbitrary distribution of the nodes; a new dynamic simulation module to perform dynamic simulations for a single pipe node; two new soil models including the Verley and Sotberg for sand as well as a custom soil model as per the approach recommended in DNV-RP-F114. The added soil models are implemented in the dynamic solver, which provide full dynamic simulation of pipelines in two dimensions.
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Brennan, Sean M. Distributed Sensor Network Software Development Testing through Simulation. Office of Scientific and Technical Information (OSTI), December 2003. http://dx.doi.org/10.2172/833222.

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Cole, Paul, Bob Bassett, Marcia Herndon, Paul Collins, and Kathy Jacobson. Simulation Assessment Validation Environment (SAVE). Software User's Manual. Fort Belvoir, VA: Defense Technical Information Center, September 2000. http://dx.doi.org/10.21236/ada388744.

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