Добірка наукової літератури з теми "Analisi probabilistica"
Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями
Ознайомтеся зі списками актуальних статей, книг, дисертацій, тез та інших наукових джерел на тему "Analisi probabilistica".
Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.
Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.
Статті в журналах з теми "Analisi probabilistica"
De la Sen, M. "On Probabilistic Alpha-Fuzzy Fixed Points and Related Convergence Results in Probabilistic Metric and Menger Spaces under Some Pompeiu-Hausdorff-Like Probabilistic Contractive Conditions." Journal of Function Spaces 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/213174.
Повний текст джерелаAnwar, Fadrinsyah. "Analisis Kualitas Pelayanan Terminal Kargo Bandara Dengan Jaringan Probabilistik." WARTA ARDHIA 41, no. 2 (August 16, 2017): 59. http://dx.doi.org/10.25104/wa.v41i2.145.59-68.
Повний текст джерелаRiveros, Bruno, Mariana Rosim, Gabriel Pedro, Rosa Lucchetta, and Marcelo Nita. "Análise de custo-efetividade e a análise de sensibilidade, um roteiro para execução de uma abordagem probabilística: Introdução à análise de sensibilidade probabilística (Parte I)." Jornal de Assistência Farmacêutica e Farmacoeconomia 1, no. 2 (December 2016): 33–38. http://dx.doi.org/10.22563/2525-7323.2016.v1.n2.p.33-38.
Повний текст джерелаHartini, Entin, Roziq Himawan, and Mike Susmikanti. "FRACTURE MECHANICS UNCERTAINTY ANALYSIS IN THE RELIABILITY ASSESSMENT OF THE REACTOR PRESSURE VESSEL: (2D) SUBJECTED TO INTERNAL PRESSURE." JURNAL TEKNOLOGI REAKTOR NUKLIR TRI DASA MEGA 18, no. 2 (June 6, 2016): 55. http://dx.doi.org/10.17146/tdm.2016.18.2.2466.
Повний текст джерелаUdiyani, Pande Made, and Sri Kuntjoro. "PENGARUH KONDISI ATMOSFERIK TERHADAP PERHITUNGAN PROBABILISTIK DAMPAK RADIOLOGI KECELAKAAN PWR 1000-MWe." JURNAL TEKNOLOGI REAKTOR NUKLIR TRI DASA MEGA 17, no. 3 (October 3, 2015): 149. http://dx.doi.org/10.17146/tdm.2015.17.3.2326.
Повний текст джерелаNuryanti, Nuryanti, Suparman Suparman, Mochamad Nasrullah, Elok S. Amitayani, and Wiku Lulus Widodo. "ANALISIS KELAYAKAN FINANSIAL PROYEK PLTN SMR DI INDONESIA DENGAN MEMPERTIMBANGKAN VARIABEL KETIDAKPASTIAN." Jurnal Pengembangan Energi Nuklir 17, no. 2 (December 29, 2015): 133. http://dx.doi.org/10.17146/jpen.2015.17.2.2609.
Повний текст джерелаPavese, Carlotta. "Probabilistic Knowledge in Action." Analysis 80, no. 2 (April 1, 2020): 342–56. http://dx.doi.org/10.1093/analys/anz094.
Повний текст джерелаTsujimoto, Kazuki, and Toshiaki Omori. "Switching Probabilistic Slow Feature Analysis for Time Series Data." International Journal of Machine Learning and Computing 10, no. 6 (December 2020): 740–45. http://dx.doi.org/10.18178/ijmlc.2020.10.6.999.
Повний текст джерелаArbutina, Dalibor, Aleksandra Vasić-Milovanović, and Uroš Kovačević. "Probabilistic analysis of voltage divider ratios." FME Transactions 47, no. 3 (2019): 624–33. http://dx.doi.org/10.5937/fmet1903624a.
Повний текст джерелаIrzik, G. "Armstrong's account of probabilistic laws." Analysis 51, no. 4 (October 1, 1991): 214–17. http://dx.doi.org/10.1093/analys/51.4.214.
Повний текст джерелаДисертації з теми "Analisi probabilistica"
Bertoni, Vanessa. "Analisi probabilistica e uso di controventi dissipativi in telai in accaio e composti acciaio - calcestruzzo." Doctoral thesis, Università degli studi di Trieste, 2011. http://hdl.handle.net/10077/4469.
Повний текст джерелаIn questa tesi si indagano vari metodi per la protezione sismica delle strutture a partire da una corretta e realistica valutazione della loro risposta sismica attraverso un approccio probabilistico che tenga conto delle aleatorietà più significative. Se la risposta non soddisfa quanto atteso si può intervenire in vari modi come attraverso l’introduzione di controventi dissipativi. Si analizzano qui due tipologie: i controventi dotati di dispositivi visco elastici e quelli con dispositivi fluido viscosi. Di entrambi si presentano dei metodi di progetto completi con relativi confronti.
XXIII Ciclo
1977
Bella, Maurizio. "Modellazione numerica di strutture sismoresistenti e analisi probabilistiche di tipo montecarlo." Doctoral thesis, Università degli studi di Trieste, 2010. http://hdl.handle.net/10077/3460.
Повний текст джерелаLo scopo della presente Tesi è lo sviluppo e la messa a punto di una serie di modelli numerici e codici di calcolo atti a modellare il comportamento di strutture sismoresistenti di tipo intelaiato sottoposte ad azione sismica al fine di poter effettuare una valutazione dell'affidabilità strutturale per mezzo di analisi probabilistiche di tipo Montecarlo. In particolare la modellazione dei giunti composti trave-colonna, è stata realizzata definendo un modello meccanico per componenti, atto a descrivere il comportamento del giunto modellato per mezzo di un insieme di elementi rigidi e deformabili, opportunamente connessi tra di loro e a cui sono stati assegnati opportuni modelli istertici. A tale scopo si è proceduto allo sviluppo ed implementazione all’interno del codice di calcolo ABAQUS e ADAPTIC di una serie di modelli isteretici reperiti in letteratura atti alla modellazione numerica delle principali componenti deformative individuabili nei giunti trave colonna e nei dispositivi viscoelastici utilizzati nella realizzazione di controventi dissipativi. Nello sviluppo del modello meccanico per la modellazione del comportamento dei giunti nodi trave colonna composti si è prestata particolare attenzione alla definizione degli elementi che descrivono l’interazione tra la soletta e la colonna. Per agevolare l’esecuzione dell’elevato numero di analisi numeriche richieste dalle analisi probabilistiche di tipo Montecarlo si è inoltre proceduto a sviluppare un pre-processore ed un post-processore in grado di interfacciarsi con i codici di calcolo utilizzati. Nel primo capitolo verrà introdotto il problema della valutazione dell'affidabilità delle strutture. Nel secondo capitolo verranno introdotti i metodi di analisi strutturale con particolare riferimento al metodo dell'analisi probabilistica di tipo montecarlo applicato alla valutazione dell'affidabilità delle strutture. Nel terzo capitolo si esaminerà la problematica della modellazione numerica delle strutture sismoresistenti. Nel quarto capitolo verranno illustrati i modelli numerici sviluppati e implementati nonchè i codici di calcolo sviluppati. Nel quinto capitolo verrà illustrato il processo di validazione dei modelli numerici sviluppati utilizzando i risultati forniti da una serie di indagini sperimentali condotte da vari autori e reperite in letteratura. Infine nel sesto capitolo si procederà alla valutazione dell'affidabilità strutturale di una struttura intelaiata campione. Più precisamente la struttura oggetto dell’indagine è il telaio testato nel European Laboratory for Structural Assessment (ELSA) del Joint Research Center (JRC) di Ispra (Varese). In particolare, per tale struttura verranno determinate le curve di fragilità con riferimento allo spostamento relativo di interpiano (IRDA) assunto come indice di danno strutturale.
XXII Ciclo
1979
Tagliaferri, Lorenza. "Probabilistic Envelope Curves for Extreme Rainfall Events - Curve Inviluppo Probabilistiche per Precipitazioni Estreme." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2008. http://amslaurea.unibo.it/99/.
Повний текст джерелаLOPES, VALDIR M. "Incidentes em reatores nucleares de pesquisa examinados por analise de probabilidade deterministica e analise probabilistica de seguranca." reponame:Repositório Institucional do IPEN, 2010. http://repositorio.ipen.br:8080/xmlui/handle/123456789/9589.
Повний текст джерелаMade available in DSpace on 2014-10-09T13:56:28Z (GMT). No. of bitstreams: 0
Tese (Doutoramento)
IPEN/T
Instituto de Pesquisas Energeticas e Nucleares - IPEN-CNEN/SP
Beccuti, Marco. "Modeling and analisys of probabilistic system : Formalism and efficient algorithm." Paris 9, 2008. https://portail.bu.dauphine.fr/fileviewer/index.php?doc=2008PA090060.
Повний текст джерелаStanghellini, Andrea. "Analisi costi benefici di un'infrastruttura stradale con approccio probabilistico all'analisi di sensitività e di rischio." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2012. http://amslaurea.unibo.it/4782/.
Повний текст джерелаAsafu-Adjei, Joseph Kwaku. "Probabilistic Methods." VCU Scholars Compass, 2007. http://hdl.handle.net/10156/1420.
Повний текст джерелаSato, Fujio 1944. "Um estudo comparativo da analise de curto-circuito probabilistico em ambientes paralelo e distribuido." [s.n.], 1995. http://repositorio.unicamp.br/jspui/handle/REPOSIP/260361.
Повний текст джерелаTese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica
Made available in DSpace on 2018-07-20T14:56:15Z (GMT). No. of bitstreams: 1 Sato_Fujio_D.pdf: 8110910 bytes, checksum: ae60d1e9b50e670431be8430488de6e4 (MD5) Previous issue date: 1995
Resumo: Este trabalho apresenta a paralelização de um programa de análise de curto-circuito probabilístico utilizando o método de Monte Cado para sistemas de potência. O programa, originariamente desenvolvido e implementado em computadores seqüenciais, foi codificado para dois ambientes distintos de alto desempenho (paralelo e distribuído), tendo como um dos objetivos a verificação de alguns itens importantes concernentes ao processamento paralelo, tais como: portabilidade, desempenho, escalabilidade e comunicação. As implementações paralela e distribuída desta aplicação foram feitas com dois modelos de programação concorrente: o SP M D (Single Process Multiple Data) e o Mestre/Escravo. Os resultados foram obtidos através de testes em quatro sistemas elétricos da região Sul-Sudeste do Sistema Interligado brasileiro
Abstract: This work presents the parallelization of a power system probabilistic short-circuit analysis program using Monte Gar/o method. A sequential version of the code, originally developed for one-processor machine, was extended to two different high performance computer system architectures (parallel and distributed). The main objective of the research was to study issues such as portability, performance, scalability and communication. Two programming models have been implemented on both architectures: SP MD, (Single Process Multiple Data) and MasterjSlave. The architectures and the models have been evalueted by simulation on four real-life networks of the brazilian South-Southeast interconnected system
Doutorado
Energia Eletrica
Doutor em Engenharia Elétrica
Alhajj, Chehade Hicham. "Geosynthetic-Reinforced Retaining Walls-Deterministic And Probabilistic Approaches." Thesis, Université Grenoble Alpes, 2021. http://www.theses.fr/2021GRALI010.
Повний текст джерелаThe aim of this thesis is to assess the seismic internal stability of geosynthetic reinforced soil retaining walls. The work first deals with deterministic analyses and then focus on probabilistic ones. In the first part of this thesis, a deterministic model, based on the upper bound theorem of limit analysis, is proposed for assessing the reinforced soil wall safety factor or the required reinforcement strength to stabilize the structure. A spatial discretization technique is used to generate the rotational failure surface and give the possibility of considering heterogeneous backfills and/or to represent the seismic loading by the pseudo-dynamic approach. The cases of dry, unsaturated and saturated soils are investigated. Additionally, the crack presence in the backfill soils is considered. This deterministic model gives rigorous results and is validated by confrontation with existing results from the literature. Then, in the second part of the thesis, this deterministic model is used in a probabilistic framework. First, the uncertain input parameters are modeled using random variables. The considered uncertainties involve the soil shear strength parameters, seismic loading and reinforcement strength parameters. The Sparse Polynomial Chaos Expansion that consists of replacing the time expensive deterministic model by a meta-model, combined with Monte Carlo Simulations is considered as the reliability method to carry out the probabilistic analysis. Random variables approach neglects the soil spatial variability since the soil properties and the other uncertain input parameters, are considered constant in each deterministic simulation. Therefore, in the last part of the manuscript, the soil spatial variability is considered using the random field theory. The SIR/A-bSPCE method, a combination between the dimension reduction technique, Sliced Inverse Regression (SIR) and an active learning sparse polynomial chaos expansion (A-bSPCE), is implemented to carry out the probabilistic analysis. The total computational time of the probabilistic analysis, performed using SIR-SPCE, is significantly reduced compared to directly running classical probabilistic methods. Only the soil strength parameters are modeled using random fields, in order to focus on the effect of the spatial variability on the reliability results
Guo, Xiangfeng. "Probabilistic stability analysis of an earth dam using field data." Thesis, Université Grenoble Alpes, 2020. http://www.theses.fr/2020GRALI017.
Повний текст джерелаUncertainties of soil properties are widely encountered in the field of geotechnical engineering especially for earth dams which are constructed with earthen materials. In recent years, there is an increasing need, motivated by the deficiencies of the traditional deterministic approach or guided by the national regulations such as in France, of accounting for these uncertainties for a safe assessment of large dams particularly in the framework of risk analysis studies. However, probabilistic analyses are still complex and not so easy to implement in practice due to the limited number of in-situ measurements, expensive computation efforts and lack of implementation of reliability methods in commercial simulation tools. Moreover, most of the previous studies are based on academic cases and hypothetic data.This work attempts to deal with the aforementioned issues by providing a probabilistic analysis study for the stability of a real earth dam using available field data. This study includes the following main elements: (1) definition of the soil variability by using the available measurements; (2) development of the deterministic models; (3-4) dam probabilistic analyses using the random-variables and random-fields approaches; (5) three-dimensional reliability analysis of the considered dam. Advanced reliability methods, such as the adaptive surrogate modelling, are introduced for the studied earth dam problem. This allows accurately estimating the dam failure probability and the safety factor statistics with a significantly reduced calculation time. In addition, some issues, that remain unknown or unclear in the field of the dam probabilistic analysis, are discussed (e.g. global sensitivity analysis of the soil hydraulic and shear strength parameters; performance survey of five reliability methods; simulation/comparison of three different kinds of random fields: generic (unconditional-stationary), conditional and nonstationary). The presented work, based on real measurements, could be a good supplement to the existing probabilistic studies of geo-structures. Readers will find useful information from the obtained results in order to better solve the practical geotechnical problems in a probabilistic framework
Книги з теми "Analisi probabilistica"
Alon, Noga. The probabilistic method. 3rd ed. New York, NY: John Wiley, 2008.
Знайти повний текст джерелаAlon, Noga. The probabilistic method. New York: Wiley, 1992.
Знайти повний текст джерелаH, Spencer Joel, ed. The probabilistic method. Hoboken, New Jersey: John Wiley & Sons, Inc., 2016.
Знайти повний текст джерелаAlon, Noga. The Probabilistic Method. New York: John Wiley & Sons, Ltd., 2005.
Знайти повний текст джерелаAlon, Noga. The probabilistic method. 3rd ed. New York, NY: John Wiley, 2008.
Знайти повний текст джерелаAlon, Noga. The probabilistic method. 2nd ed. New York: Wiley, 2000.
Знайти повний текст джерелаTownsend, John S. Review of the probabilistic failure analysis methodology and other probabilistic approaches for application in aerospace structural design. Huntsville, Ala: George C. Marshall Space Flight Center, 1993.
Знайти повний текст джерелаProbabilistic techniques in analysis. New York: Springer-Verlag, 1995.
Знайти повний текст джерелаHynes, Mary Ellen. Probabilistic liquefaction analysis. Washington, DC: Division of Engineering Technology, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1999.
Знайти повний текст джерелаHynes, M. E. Probabilistic liquefaction analysis. Washington, D.C: U.S. Nuclear Regulatory Commission, 1990.
Знайти повний текст джерелаЧастини книг з теми "Analisi probabilistica"
Reidys, Christian. "Probabilistic Analysis." In Combinatorial Computational Biology of RNA, 143–86. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-0-387-76731-4_5.
Повний текст джерелаSnapp, Robert R. "Probabilistic Analysis." In Encyclopedia of Social Network Analysis and Mining, 1–28. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4614-7163-9_155-1.
Повний текст джерелаMaxim, Dorin, Liliana Cucu-Grosjean, and Robert I. Davis. "Probabilistic Analysis." In Handbook of Real-Time Computing, 1–23. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-4585-87-3_9-1.
Повний текст джерелаSnapp, Robert R. "Probabilistic Analysis." In Encyclopedia of Social Network Analysis and Mining, 1362–88. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-6170-8_155.
Повний текст джерелаMaxim, Dorin, Liliana Cucu-Grosjean, and Robert I. Davis. "Probabilistic Analysis." In Handbook of Real-Time Computing, 323–46. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-287-251-7_9.
Повний текст джерелаBürgisser, Peter, and Felipe Cucker. "Probabilistic Analysis." In Grundlehren der mathematischen Wissenschaften, 21–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38896-5_2.
Повний текст джерелаSnapp, Robert R. "Probabilistic Analysis." In Encyclopedia of Social Network Analysis and Mining, 1866–92. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-7131-2_155.
Повний текст джерелаHuang, Xiaoxia. "Probabilistic Portfolio Selection." In Portfolio Analysis, 11–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11214-0_2.
Повний текст джерелаLarsen, Rasmus, and Klaus Baggesen Hilger. "Probabilistic Generative Modelling." In Image Analysis, 861–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-45103-x_114.
Повний текст джерелаWirsching, P. H. "Probabilistic Fatigue Analysis." In Probabilistic Structural Mechanics Handbook, 146–65. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-1771-9_7.
Повний текст джерелаТези доповідей конференцій з теми "Analisi probabilistica"
Ramanath, Vinay, and Gene E. Wiggs. "DACE Based Probabilistic Optimization of Mechanical Components." In ASME Turbo Expo 2006: Power for Land, Sea, and Air. ASMEDC, 2006. http://dx.doi.org/10.1115/gt2006-91024.
Повний текст джерелаParajuli, H. Ram, J. Kiyono, H. Taniguchi, K. Toki, and P. Nath Maskey. "Probabilistic seismic hazard assessment for Nepal." In RISK ANALYSIS 2010. Southampton, UK: WIT Press, 2010. http://dx.doi.org/10.2495/risk100351.
Повний текст джерелаCarvalho, E., J. Cruz, P. Barahona, Theodore E. Simos, George Psihoyios, and Ch Tsitouras. "Probabilistic Reasoning with Continuous Constraints." In Numerical Analysis and Applied Mathematics. AIP, 2007. http://dx.doi.org/10.1063/1.2790083.
Повний текст джерелаChang, Kuang-Hua, Xiaoming Yu, and Kyung Choi. "Probabilistic structural stability prediction." In 6th Symposium on Multidisciplinary Analysis and Optimization. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1996. http://dx.doi.org/10.2514/6.1996-4064.
Повний текст джерелаShin, Youngwon. "Improving Probabilistic Damage Tolerance Analysis for Inspection Optimization: Possibilistic-Probabilistic Approach." In 12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2008. http://dx.doi.org/10.2514/6.2008-6050.
Повний текст джерелаWang, C., W. Gao, and S. Tangaramvong. "Hybrid Probabilistic and Non-Probabilistic Analysis of Structures with Mixed Uncertainties." In Second International Conference on Vulnerability and Risk Analysis and Management (ICVRAM) and the Sixth International Symposium on Uncertainty, Modeling, and Analysis (ISUMA). Reston, VA: American Society of Civil Engineers, 2014. http://dx.doi.org/10.1061/9780784413609.220.
Повний текст джерелаTavakoli, Yashar, H. Haj Seyyed Javadi, and Hossein Erfani. "A Probabilistic Analysis for Greedy Paths." In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS: International Conference on Numerical Analysis and Applied Mathematics 2008. American Institute of Physics, 2008. http://dx.doi.org/10.1063/1.2990983.
Повний текст джерелаAfshin Abdollahi. "Probabilistic decision diagrams for exact probabilistic analysis." In 2007 IEEE/ACM International Conference on Computer-Aided Design. IEEE, 2007. http://dx.doi.org/10.1109/iccad.2007.4397276.
Повний текст джерелаCapiez-Lernout, Evange´line, and Christian Soize. "Specifying Manufacturing Tolerances for a Given Amplification Factor: A Nonparametric Probabilistic Methodology." In ASME Turbo Expo 2003, collocated with the 2003 International Joint Power Generation Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/gt2003-38050.
Повний текст джерелаBhimanadam, V. R., and F. J. Blom. "Probabilistic PTS Analysis." In ASME 2016 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/pvp2016-63112.
Повний текст джерелаЗвіти організацій з теми "Analisi probabilistica"
Benson, William E., Jr Berg, and Joseph W. Probabilistic Seismic Hazard Analysis. Fort Belvoir, VA: Defense Technical Information Center, January 1988. http://dx.doi.org/10.21236/ada203074.
Повний текст джерелаCohen, Paul R. Probabilistic, Dynamic Analysis of Plans. Fort Belvoir, VA: Defense Technical Information Center, March 2004. http://dx.doi.org/10.21236/ada422223.
Повний текст джерелаDarwiche, Adnan. Probabilistic Sensitivity Analysis for Situation Awareness. Fort Belvoir, VA: Defense Technical Information Center, June 2008. http://dx.doi.org/10.21236/ada484629.
Повний текст джерелаHansen, Jeffery. Probabilistic Analysis of Time Sensitive Systems. Fort Belvoir, VA: Defense Technical Information Center, October 2014. http://dx.doi.org/10.21236/ada610981.
Повний текст джерелаBlakely, Scott. Probabilistic Analysis for Reliable Logic Circuits. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.1859.
Повний текст джерелаCheverton, R. D., and T. L. Dickson. HFIR vessel probabilistic fracture mechanics analysis. Office of Scientific and Technical Information (OSTI), January 1997. http://dx.doi.org/10.2172/654200.
Повний текст джерелаZio, Enrico, and Nicola Pedroni. Uncertainty characterization in risk analysis for decision-making practice. Fondation pour une culture de sécurité industrielle, May 2012. http://dx.doi.org/10.57071/155chr.
Повний текст джерелаFranco, John. Probabilistic Analysis of Algorithms for NP-Complete Problems. Fort Belvoir, VA: Defense Technical Information Center, October 1986. http://dx.doi.org/10.21236/ada179537.
Повний текст джерелаBlumenthal, Saul, and Prem Goel. Fatigue Crack Propagation: Probabilistic Modeling and Statistical Analysis. Fort Belvoir, VA: Defense Technical Information Center, March 1988. http://dx.doi.org/10.21236/ada195885.
Повний текст джерелаSeitz, R. PROBABILISTIC SENSITIVITY AND UNCERTAINTY ANALYSIS WORKSHOP SUMMARY REPORT. Office of Scientific and Technical Information (OSTI), June 2008. http://dx.doi.org/10.2172/933167.
Повний текст джерела