Relevant bibliographies by topics / Simulation of joint extremes

Contents

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

Academic literature on the topic 'Simulation of joint extremes'

Author: Grafiati
Published: 25 May 2024
Last updated: 31 July 2025

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Journal articles on the topic "Simulation of joint extremes"

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Phalitnonkiat, Pakawat, Peter G. M. Hess, Mircea D. Grigoriu, et al. "Extremal dependence between temperature and ozone over the continental US." Atmospheric Chemistry and Physics 18, no. 16 (2018): 11927–48. http://dx.doi.org/10.5194/acp-18-11927-2018.

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Abstract. The co-occurrence of heat waves and pollution events and the resulting high mortality rates emphasize the importance of the co-occurrence of pollution and temperature extremes. Through the use of extreme value theory and other statistical methods, tropospheric surface ozone and temperature extremes and their joint occurrence are analyzed over the United States during the summer months (JJA) using measurements and simulations of the present and future climate and chemistry. Five simulations from the Chemistry-Climate Model Initiative (CCMI) reference experiment using specified dynamic
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Yao, L., W. Dongxiao, Z. Zhenwei, H. Weihong, and S. Hui. "A Monte Carlo simulation of multivariate general Pareto distribution and its application." Ocean Science Discussions 11, no. 6 (2014): 2733–53. http://dx.doi.org/10.5194/osd-11-2733-2014.

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Abstract. This paper presents a multivariate general Pareto distribution (MGPD) method and builds a method for solving MGPD through the use of a Monte Carlo simulation for marine environmental extreme-value parameters. The simulation method has proven to be feasible in the analysis of the joint probability of wave height and its concomitant wind from a hydrological station in the South China Sea (SCS). The MGPD is the natural distribution of the multivariate peaks-over-threshold (MPOT) sampling method, and is based on the extreme-value theory. The existing dependence functions can be used in t
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Muheki, Derrick, Axel A. J. Deijns, Emanuele Bevacqua, Gabriele Messori, Jakob Zscheischler, and Wim Thiery. "The perfect storm? Co-occurring climate extremes in East Africa." Earth System Dynamics 15, no. 2 (2024): 429–66. http://dx.doi.org/10.5194/esd-15-429-2024.

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Abstract. Co-occurring extreme climate events exacerbate adverse impacts on humans, the economy, and the environment relative to extremes occurring in isolation. While changes in the frequency of individual extreme events have been researched extensively, changes in their interactions, dependence, and joint occurrence have received far less attention, particularly in the East African region. Here, we analyse the joint occurrence of pairs of the following extremes within the same location and calendar year over East Africa: river floods, droughts, heatwaves, crop failures, wildfires and tropica
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Tencer, Bárbara, Andrew Weaver, and Francis Zwiers. "Joint Occurrence of Daily Temperature and Precipitation Extreme Events over Canada." Journal of Applied Meteorology and Climatology 53, no. 9 (2014): 2148–62. http://dx.doi.org/10.1175/jamc-d-13-0361.1.

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AbstractThe occurrence of individual extremes such as temperature and precipitation extremes can have a great impact on the environment. Agriculture, energy demands, and human health, among other activities, can be affected by extremely high or low temperatures and by extremely dry or wet conditions. The simultaneous or proximate occurrence of both types of extremes could lead to even more profound consequences, however. For example, a dry period can have more negative consequences on agriculture if it is concomitant with or followed by a period of extremely high temperatures. This study analy
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Sanga, Bharat, Reeta Wattal, and D. S. Nagesh. "An FEA based study of thermal behaviour of ultrasonically welded phosphor bronze sheets." Journal of Mechanical Engineering and Sciences 15, no. 2 (2021): 8057–71. http://dx.doi.org/10.15282/jmes.15.2.2021.10.0635.

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The ultrasonic joining of phosphor bronze sheets is analyzed using a 3-D finite element model for the study and prediction of the thermal profiles at the weld interface. The heat fluxes are calculated and assigned as boundary conditions during the thermal simulation. The forecast of temperature is done under various welding conditions. The maximum temperature obtained by transient simulation at the weld interface is 366.74℃. The continuous reduction in the temperature is observed towards the extremes of the weld metal. The sonotrode and the anvil achieve a lower temperature in comparison to th
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Anderson, Dylan, Peter Ruggiero, Fernando J. Mendez, et al. "TIME-VARYING EMULATOR FOR SHORT- AND LONG-TERM ANALYSIS OF COASTAL FLOODING (TESLA-FLOOD)." Coastal Engineering Proceedings, no. 36 (December 30, 2018): 4. http://dx.doi.org/10.9753/icce.v36.currents.4.

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The ability to predict coastal flooding events and associated impacts has emerged as a primary societal need within the context of projected sea level rise (SLR) and climate change. The duration and extent of flooding is the result of nonlinear interactions between multiple environmental forcings (oceanographic, meteorological, hydrological) acting at varying spatial (local to global) and temporal scales (hours to centuries). Individual components contributing to total water levels (TWLs) include astronomical tides, monthly sea level anomalies, storm surges, and wave setup. Common practices of
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Brunner, Manuela I., and Eric Gilleland. "Stochastic simulation of streamflow and spatial extremes: a continuous, wavelet-based approach." Hydrology and Earth System Sciences 24, no. 8 (2020): 3967–82. http://dx.doi.org/10.5194/hess-24-3967-2020.

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Abstract. Stochastically generated streamflow time series are used for various water management and hazard estimation applications. They provide realizations of plausible but as yet unobserved streamflow time series with the same temporal and distributional characteristics as the observed data. However, the representation of non-stationarities and spatial dependence among sites remains a challenge in stochastic modeling. We investigate whether the use of frequency-domain instead of time-domain models allows for the joint simulation of realistic, continuous streamflow time series at daily resol
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Barbariol, Francesco, Alvise Benetazzo, Sandro Carniel, and Mauro Sclavo. "Space–Time Wave Extremes: The Role of Metocean Forcings." Journal of Physical Oceanography 45, no. 7 (2015): 1897–916. http://dx.doi.org/10.1175/jpo-d-14-0232.1.

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AbstractWave observations and modeling have recently demonstrated that wave extremes of short-crested seas are poorly predicted by statistics of time records. Indeed, the highest waves pertain to wave groups at focusing that have space–time dynamics. Therefore, the statistical prediction of extremes of short-crested sea states should rely on the multidimensional random wave fields’ assumption. To adapt wave extreme statistics to the space–time domain, theoretical models using parameters of the directional wave spectrum have been recently developed. In this paper, the influence of metocean forc
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Vosniakos, G.-C., and A. Chronopoulos. "Industrial robot path planning in a constraint-based computer-aided design and kinematic analysis environment." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 223, no. 5 (2009): 523–33. http://dx.doi.org/10.1243/09544054jem1234.

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Paths of industrial robots are easier to plan by using constraints on accurate computer-aided design (CAD) models of both objects representing the real industrial robotic cell and virtual objects representing the auxiliary geometry that is necessary to define path points. The motion path normally needs to be split into segments possessing uniform characteristics, e.g. common active joints, at points usually corresponding to position or velocity extremes. Each segment corresponds either to point-to-point motion or to constrained motion. Point-to-point motion is implemented by interpolating betw
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Bajda, Mirosław. "Predicting the working time of multi-ply conveyor belt splices in underground mines." Mining Science 31 (2024): 259–74. https://doi.org/10.37190/msc243115.

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Knowledge about the service life of the splices before they are made is extremely valuable information for the users of belt conveyors because having additional technical data about the conveyor and the place of its installation makes it possible to forecast the working time of the joint. The results of calculations of the service life of joints of multi-ply textile conveyor belts are presented. The calculations were made using a computer program specially created for this purpose, which predicts the service life of the joints before they are made. The program was created due to the implementa
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Dissertations / Theses on the topic "Simulation of joint extremes"

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Legrand, Juliette. "Simulation and assessment of multivariate extreme models for environmental data." Electronic Thesis or Diss., université Paris-Saclay, 2022. http://www.theses.fr/2022UPASJ015.

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L'estimation précise des probabilités d'occurrence des événements extrêmes environnementaux est une préoccupation majeure dans l'évaluation des risques. Pour l'ingénierie côtière par exemple, le dimensionnement de structures implantées sur ou à proximité des côtes doit être tel qu'elles résistent aux événements les plus sévères qu'elles puissent rencontrer au cours de leur vie. Cette thèse porte sur la simulation d'événements extrêmes multivariés, motivée par des applications aux hauteurs significatives de vagues, et sur l'évaluation de modèles de prédiction d'occurrence d'événements extrêmes.
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Li, Qinglan 1971. "Statistical downscaling and simulation of daily temperature extremes." Thesis, McGill University, 2006. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=99521.

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There is now a broad scientific consensus that the global climate is changing in ways that could have a profound impact on human society and the natural environment over the coming decades. In particular, changes in the frequency and magnitude of extreme temperatures are likely to have more substantial impacts on the environment and human activities than changes in the mean temperature. The present study is therefore addressing three main objectives: (a) to propose a systematic data analysis method for characterizing the variability of daily extreme temperatures at different sites; (b) to deve
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Oesting, Marco [Verfasser]. "Analysis and simulation of multivariate and spatial extremes / Marco Oesting." Siegen : Universitätsbibliothek der Universität Siegen, 2019. http://d-nb.info/1238353541/34.

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Casson, Edward Anthony. "Stochastic methodology for the extremes and directionality of meteorological processes." Thesis, Lancaster University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.287095.

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Wu, Elizabeth. "Spatio-Temporal Data Mining and Analysis of Precipitation Extremes." Thesis, The University of Sydney, 2008. https://hdl.handle.net/2123/28120.

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The work in this thesis aimed to discover new ways to analyse and mine information about precipitation extremes in South America from spatio-temporal data. This was done in two ways. First, analysis was performed through the use of statistical measures that provided insight into the behaviour of precipitation extremes between regions. Second, a new spatio-temporal outlier detection algorithm was introduced to discover moving outliers from the data.
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VanLandingham, Steve. "Applications of Joint Tactical Simulation modeling." Thesis, Monterey, California. Naval Postgraduate School, 1997. http://hdl.handle.net/10945/7975.

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Approved for public release; distribution is unlimited<br>Advances in technology allow Computer Simulation Models (CSM) to be used as a powerful tool to aid military decision makers. This thesis explores the usefulness of one of these models, the Joint Tactical Simulation (JTS). First, this thesis outlines the information and tasks required to run JTS, which will give the reader a basic understanding of the program and how much effort it requires. Next, it describes the scenario presented in this thesis by detailing the methodology of terrain development, listing the assets required and the mi
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Revel, Aldric. "Nuclear forces at the extremes." Thesis, Normandie, 2018. http://www.theses.fr/2018NORMC227/document.

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L’émission de paires de neutrons par les noyaux riches en neutrons 18C et 20O (isotones N = 12) est étudié par réactions de knock-out d’un nucléon des faisceaux secondaires 19N et 21O, peuplant ainsi des états non liés jusqu’à 15 MeV au-dessus de leur seuil d’émission deux neutrons. L’analyse des corrélations des triples coïncidences fragment+n+n montre que la décroissance 19N(−1p)→18C → 16C+n+n est clairement dominée par l’émission directe de paires. Les corrélations n-n, les plus grandes jamais observées, suggèrent la prédominance d’un coeur de 14C entouré de quatre neutrons arrangés en pair
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Nykänen, Robin. "Simulation of Bolted Joint with Frictional Contacts." Thesis, Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-74490.

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An easy and reliable way to join two or more components is to use a bolted joint. When torque is applied on the bolt head, a clamp force is achieved. However about 90% of this torque will be used just to overcome the friction in the interfaces. To be able to fasten these in an ecient and precise manner the friction in the bolt threads and underhead area is important to understand. This is currently investigated at Atlas Copco by using a friction test rig, FTR, which measures the clamp force, the total torque and the shank torque. To evaluate the test rig and also to be able to evaluate dierent
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Sullivan, Mark James. "A methodology for evaluating a joint mobilizatoin plan using the Joint Theater Level Simulation (JTLS)." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1996. http://handle.dtic.mil/100.2/ADA321112.

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Boucher, Alexandre. "Conditional joint simulation of random fields on block-support /." St. Lucia, Qld, 2003. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe17169.pdf.

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Books on the topic "Simulation of joint extremes"

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Office, General Accounting. Joint simulation training. The Office, 1994.

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Office, General Accounting. Joint simulation training. The Office, 1994.

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United States. General Accounting Office. National Security and International Affairs Division, ed. Joint simulation training. The Office, 1994.

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Electronics Manufacturing Productivity Facility (U.S.), ed. Solder joint rework simulation analysis. The Facility, 1990.

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VanLandingham, Steve. Applications of Joint Tactical Simulation modeling. Naval Postgraduate School, 1997.

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United States. Joint Chiefs of Staff, ed. Joint modeling and simulation evolutionary overview. Joint Chief of Staff, 1994.

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Brown, SA, LN Gilbertson, and VD Good, eds. Wear of Articulating Surfaces: Understanding Joint Simulation. ASTM International, 2006. http://dx.doi.org/10.1520/stp1472-eb.

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Steenman, G. J. J. Modelling and simulation of a manipulator joint. National Aeronautical Laboratories, 1987.

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Sullivan, Mark James. A methodology for evaluating a joint mobilizatoin plan using the Joint Theater Level Simulation (JTLS). Naval Postgraduate School, 1996.

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E, Barr Ronald, Abraham Lawrence D, and United States. National Aeronautics and Space Administration., eds. A musculoskeletal model of the elbow joint complex. National Aeronautics and Space Administration, 1993.

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Book chapters on the topic "Simulation of joint extremes"

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Sharma, Ashish, and Fiona M. Johnson. "Latest Advances and Challenges in Extreme Flood 3D Simulation." In Arts, Research, Innovation and Society. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-56114-6_3.

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AbstractThis chapter canvasses the latest developments in the modelling and communication of environmental extremes, with a focus on floods. Three scenarios are explored. The first refers to real-time prediction, including the current modelling basis that is adopted, and the visualisation/communication strategies in place. The second refers to an environmental extreme event that is conditional to a failure scenario, as is the case when an existing infrastructure (i.e. levee or spillway in an extreme flood) fails. The third, more complex scenario is the occurrence of a compound or joint extreme
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Schwitalla, Thomas, Volker Wulfmeyer, and Kirsten Warrach-Sagi. "Seasonal Simulation of Weather Extremes." In High Performance Computing in Science and Engineering ' 17. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-68394-2_26.

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Harr, Patrick A., Antoni Jordi, and Luke Madaus. "Analysis of the Future Change in Frequency of Tropical Cyclone-Related Impacts Due to Compound Extreme Events." In Hurricane Risk in a Changing Climate. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08568-0_5.

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AbstractTropical cyclone-related hazards are often comprised of compound, connected events that individually amplify the total impacts. Often, hazard risk assessments focus on one factor rather than the compound nature of multiple forcing mechanisms. It is possible that extreme event analysis in a univariate context may underestimate the probabilities and impacts of extreme events. In this study, a framework addresses multivariate analysis of risk due to compound hazards related to tropical cyclone characteristics. Combinations of observations and simulations are used to identify possible freq
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Schwitalla, Thomas, Volker Wulfmeyer, and Kirsten Warrach-Sagi. "Seasonal Simulation of Weather Extremes (WRFXXXL)." In High Performance Computing in Science and Engineering ' 18. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-13325-2_24.

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Zhang, Yu, Xiaodong Wang, Zhixiang Min, et al. "Adaptive Regulation of Cascade Reservoirs System Under Non-stationary Runoff." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-6138-0_88.

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AbstractUnder the influence of climate change and human activities, the spatial and temporal distribution of river runoff has changed. The statistical characteristics of runoff such as mean, variance and extreme values have changed significantly. Hydrological stationarity has been broken, deepening the uncertainty of water resources and their utilization. Hydrological stationarity is a fundamental assumption of traditional water resources planning and management. The occurrence of non-stationarity will undoubtedly have an impact on the operation and overall benefits of reservoirs, and may even
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Risser, Mark D., and Claudia Tebaldi. "Uncertainty and Extremes." In Uncertainty in Climate Change Research. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-85542-9_21.

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Abstract The impactful nature of extreme weather events calls for a robust quantification of their statistics, if risks are to be reliably characterized for both current and future hazards. In this chapter, using examples from recent events, we describe the rationale and some applications of the main statistical tools for such quantification, Extreme Value Analysis, EVA. We present the basic modeling of block maxima through Generalized Extreme Value distributions and that of threshold exceedances, through the Generalized Pareto distribution, and point at some effective extensions of the standa
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Wang, Fengcai, and Hanyu Wang. "Biotribological Joint Simulation System." In Encyclopedia of Tribology. Springer US, 2013. http://dx.doi.org/10.1007/978-0-387-92897-5_1200.

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Falk, Michael. "Best Attainable Rate of Joint Convergence of Extremes." In Lecture Notes in Statistics. Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4612-3634-4_1.

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Klein, Gary, Paul J. Feltovich, Jeffrey M. Bradshaw, and David D. Woods. "Common Ground and Coordination in Joint Activity." In Organizational Simulation. John Wiley & Sons, Inc., 2005. http://dx.doi.org/10.1002/0471739448.ch6.

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Hahn, Marjorie G., and Daniel C. Weiner. "On Joint Estimation of an Exponent of Regular Variation and an Asymmetry Parameter for Tail Distributions." In Sums, Trimmed Sums and Extremes. Birkhäuser Boston, 1991. http://dx.doi.org/10.1007/978-1-4684-6793-2_4.

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Conference papers on the topic "Simulation of joint extremes"

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Li, Jun, Dingcheng Li, Ping Li, and Gennady Samorodnitsky. "Generalized Pareto GAN: Generating Extremes of Distributions." In 2024 International Joint Conference on Neural Networks (IJCNN). IEEE, 2024. http://dx.doi.org/10.1109/ijcnn60899.2024.10650414.

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Pollinger, Theresa, Alexander Van Craen, Philipp Offenhäuser, and Dirk Pflüger. "Realizing Joint Extreme-Scale Simulations on Multiple Supercomputers—Two Superfacility Case Studies." In SC24: International Conference for High Performance Computing, Networking, Storage and Analysis. IEEE, 2024. https://doi.org/10.1109/sc41406.2024.00104.

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Čakanišin, Adrián, and Mária Halenárová. "Monte Carlo as a Method for Examining of Business Changes in Tourism in Slovakia." In 25th International Joint Conference Central and Eastern Europe in the Changing Business Environment. Vydavateľstvo EKONÓM, 2025. https://doi.org/10.53465/ceecbe.2025.9788022552257.50-63.

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The business environment in tourism encompasses a set of factors influencing the establishment, development, and sustainability of businesses in this sector, including economic, legislative, and market conditions. The dynamics of this environment are crucial for the economic stability of the sector. The main objective of this paper is to model the development of business establishments and closures in the tourism sector based on historical data and the influence of selected factors. The data used for this study were obtained from the Statistical Office of the Slovak Republic upon request. To a
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Sando, Kosuke, Ryota Wada, Jeremy Rohmer, Sophie Lecacheux, and Philip Jonathan. "Estimating Joint Extremes of Significant Wave Height and Wind Speed for Tropical Cyclones." In ASME 2022 41st International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/omae2022-79888.

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Abstract We provide a computationally-efficient scheme for the estimation of joint extremes of significant wave height (Hs) and wind speed (U) for tropical cyclones. The method incorporates the simple spatial extremes method (STM-E) of Wada et al., 2019 (for spatial extremes of each of Hs and U) and the conditional extremes model of Heffernan and Tawn, 2004 (for conditional modeling of Hs given extreme U and U given extreme Hs). We demonstrate the methodology in application to data generated from hindcast simulations and track shifting of past tropical cyclones in the neighborhood of Réunion i
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Jonathan, Philip, Kevin Ewans, and Jan Flynn. "On the Estimation of Ocean Engineering Design Contours." In ASME 2011 30th International Conference on Ocean, Offshore and Arctic Engineering. ASMEDC, 2011. http://dx.doi.org/10.1115/omae2011-49886.

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Understanding extreme ocean environments and their interaction with fixed and floating structures is critical for offshore and coastal design. Design contours are useful to describe the joint behaviour of environmental, structural loading and response variables. We compare different forms of design contours, using theory and simulation, and present a new method for joint estimation of contours of constant exceedence probability for a general set of variables. The method is based on a conditional extremes model from the statistics literature, motivated by asymptotic considerations. We simulate
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Miao, Qingqing, Ankang Cheng, and Ying Min Low. "A Combination of Surrogate Model and Subset Simulation Method for Long-Term Extreme Response Analysis of Marine Risers." In ASME 2023 42nd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/omae2023-101700.

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Abstract Evaluating the long-term extreme response of marine risers generally involves numerous time-consuming simulations of offshore structures in the time domain. Traditionally, the most rigorous reliability analysis method — Monte Carlo Simulation (MCS) is employed to account for both varying long-term environmental loads and short-term wave dynamics through extensive sampling. The number of simulations required by MCS is impractical when targeting long return periods to meet the industry standard. Subset Simulation (SS) as a variance reduction method has been widely applied to solve low f
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Lopatoukhin, Leonid J., and Alexander V. Boukhanovsky. "Extreme and Freak Waves: Results of Measurements and Simulation." In ASME 2008 27th International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2008. http://dx.doi.org/10.1115/omae2008-57841.

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Main statistical characteristics of wave climate are considered in respect of offshore and ship design. Sophistication of ships and marine platforms and expansion of offshore activities to non-investigated regions means increasing of probability of being damaged by high waves. Hindcasting of wave fields, using the hydrodynamic models is main approach to wave climate investigation. Offshore wave measurements are used, mainly, for model verification. In compliance with existent regulatory documents and accepted practice applied statistical characteristics of wind waves are prescribed to operatio
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Leong, Darrell, Ying Min Low, and Youngkook Kim. "Long-Term Extreme Response Prediction of Mooring Lines Using Subset Simulation." In ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/omae2018-77064.

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Rigorous methods of probabilistic evaluations on long-term extremes are integral components in reliability research of offshore structures against overload events. Assessment across all conceivable sea states requires accounting for variabilities of long-term environmental loads and short-term stochastics, traditionally captured through extensive sampling or numerical expectation integration. The amount of environmental load variables render numerical integrations across high dimensions computationally prohibitive, while industry requirements of high return periods demand large Monte Carlo sam
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Vanem, Erik, Øystein Lande, and Elias Fekhari. "A Simulation Study on the Usefulness of the Bernstein Copula for Statistical Modeling of Metocean Variables." In ASME 2024 43rd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2024. http://dx.doi.org/10.1115/omae2024-121159.

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Abstract Probabilistic modelling of relevant environmental variables are crucial for the safe design and operation of marine structures. Using metocean data, a joint model of several variables can be estimated, including their dependence structure. Often, a conditional model is assumed for this, but recently the non-parametric Bernstein copula has been suggested as an alternative tool to model such dependencies. As a non-parametric technique, it is very flexible and often provides excellent goodness-of-fit to data with different dependencies. However, non-parametric techniques are prone to ove
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Zhao, Yuliang, Sheng Dong, Zihao Yang, and Lance Manuel. "Estimating Design Loads for Floating Structures Using Environmental Contours." In ASME 2020 39th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/omae2020-18453.

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Abstract To ensure acceptable operation and/or survival of floating structures in extreme conditions, nonlinear time-domain simulations are often used to predict the structural response at the design stage. An environmental contour (EC) is commonly employed to identify critical sea states that serve as input for numerical simulations to assess the safety and performance of marine structures. In many studies, marginal and conditional distributions are defined to construct bivariate joint probability distributions for variables such as significant wave height and zero-crossing period; then, envi
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Reports on the topic "Simulation of joint extremes"

1

Burchett, S. N., D. R. Frear, and M. M. Rashid. Computer simulation of solder joint failure. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/477670.

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2

Fikus, John. Global Information Enterprise Simulation (GIESIM) Joint Tactical Information Distribution Systems Simulation Experimentation. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada438999.

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3

Smith, Mark E. Distributed Test and Evaluation of Aerospace Systems: The Joint Advanced Distributed Simulation Joint Test Force Experience. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada378017.

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4

Shahani, Ashwin, and Sharon Glotzer. Probing the solidification of quasicrystals via joint experiment and simulation. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1856862.

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5

Sahu, Devaraj. A Study of the Defense Simulation Internet (DSI) for the Joint Advanced Distributed Simulation (JADS) Project. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada381147.

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6

Wilson, Jimmy H. USAF Concept of Operations for the Joint Simulation System (JSIMS), Version 1.0. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada358714.

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7

Baxley, Carl R. Mutual Security and Arms Reductions in Europe: A Joint Soviet-American Simulation Exercise. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada227289.

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8

Joyner, Tom, and Bob Maker. Joint Installed System Test Facility (JISTF) Infrared Sensor Simulation/Stimulation Enhancement: Dynamic Virtual Reality Simulation/Stimulation Technologies for Test, Evaluaiton, and Training. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada367704.

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9

Winters, Leslie S., and Andreas Tolk. The Integration of Modeling and Simulation with Joint Command and Control on the Global Information Grid. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada433871.

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10

Gagnon, Colleen M., and William K. Stevens. Use of Modeling and Simulation (M&S) in Support of Joint Command and Control Experimentation: Naval Simulation System (NSS) Support to Fleet Battle Experiments. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada461113.

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