Auswahl der wissenschaftlichen Literatur zum Thema „Reliability Design Optimization methods (RBDO)“
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Zeitschriftenartikel zum Thema "Reliability Design Optimization methods (RBDO)"
Chiralaksanakul, Anukal, und Sankaran Mahadevan. „First-Order Approximation Methods in Reliability-Based Design Optimization“. Journal of Mechanical Design 127, Nr. 5 (08.10.2004): 851–57. http://dx.doi.org/10.1115/1.1899691.
Der volle Inhalt der QuelleLi, Xiaoke, Qingyu Yang, Yang Wang, Xinyu Han, Yang Cao, Lei Fan und Jun Ma. „Development of surrogate models in reliability-based design optimization: A review“. Mathematical Biosciences and Engineering 18, Nr. 5 (2021): 6386–409. http://dx.doi.org/10.3934/mbe.2021317.
Der volle Inhalt der QuelleDeng, Siyang, Stéphane Brisset und Stephane Clénet. „Comparative study of methods for optimization of electromagnetic devices with uncertainty“. COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 37, Nr. 2 (05.03.2018): 704–17. http://dx.doi.org/10.1108/compel-11-2016-0502.
Der volle Inhalt der QuelleZou, T., und S. Mahadevan. „Versatile Formulation for Multiobjective Reliability-Based Design Optimization“. Journal of Mechanical Design 128, Nr. 6 (22.11.2005): 1217–26. http://dx.doi.org/10.1115/1.2218884.
Der volle Inhalt der QuelleZhang, Li-Xiang, Xin-Jia Meng und He Zhang. „Reliability-Based Design Optimization for Design Problems with Random Fuzzy and Interval Uncertainties“. International Journal of Computational Methods 17, Nr. 06 (04.04.2019): 1950018. http://dx.doi.org/10.1142/s021987621950018x.
Der volle Inhalt der QuelleAlbuquerque, Carla Simone de, und Mauro de Vasconcelos Real. „Comparative analysis of deterministic and reliability-based structural optimization methods“. Ciência e Natura 45, esp. 3 (01.12.2023): e74335. http://dx.doi.org/10.5902/2179460x74335.
Der volle Inhalt der QuelleEl Hami, A., und Bouchaib Radi. „Comparison Study of Different Reliability-Based Design Optimization Approaches“. Advanced Materials Research 274 (Juli 2011): 113–21. http://dx.doi.org/10.4028/www.scientific.net/amr.274.113.
Der volle Inhalt der QuelleChen, Zhen Zhong, Hao Bo Qiu, Hong Yan Hao und Hua Di Xiong. „A Reliability Index Based Decoupling Method for Reliability-Based Design Optimization“. Advanced Materials Research 544 (Juni 2012): 223–28. http://dx.doi.org/10.4028/www.scientific.net/amr.544.223.
Der volle Inhalt der QuelleChun, Junho. „Reliability-Based Design Optimization of Structures Using Complex-Step Approximation with Sensitivity Analysis“. Applied Sciences 11, Nr. 10 (20.05.2021): 4708. http://dx.doi.org/10.3390/app11104708.
Der volle Inhalt der QuelleZhang, Chun-Yi, Ze Wang, Cheng-Wei Fei, Zhe-Shan Yuan, Jing-Shan Wei und Wen-Zhong Tang. „Fuzzy Multi-SVR Learning Model for Reliability-Based Design Optimization of Turbine Blades“. Materials 12, Nr. 15 (24.07.2019): 2341. http://dx.doi.org/10.3390/ma12152341.
Der volle Inhalt der QuelleDissertationen zum Thema "Reliability Design Optimization methods (RBDO)"
Cho, Hyunkyoo. „Efficient variable screening method and confidence-based method for reliability-based design optimization“. Diss., University of Iowa, 2014. https://ir.uiowa.edu/etd/4594.
Der volle Inhalt der QuelleMansour, Rami. „Reliability Assessment and Probabilistic Optimization in Structural Design“. Doctoral thesis, KTH, Hållfasthetslära (Avd.), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-183572.
Der volle Inhalt der QuelleQC 20160317
Ndashimye, Maurice. „Accounting for proof test data in Reliability Based Design Optimization“. Thesis, Stellenbosch : Stellenbosch University, 2015. http://hdl.handle.net/10019.1/97108.
Der volle Inhalt der QuelleENGLISH ABSTRACT: Recent studies have shown that considering proof test data in a Reliability Based Design Optimization (RBDO) environment can result in design improvement. Proof testing involves the physical testing of each and every component before it enters into service. Considering the proof test data as part of the RBDO process allows for improvement of the original design, such as weight savings, while preserving high reliability levels. Composite Over-Wrapped Pressure Vessels (COPV) is used as an example application of achieving weight savings while maintaining high reliability levels. COPVs are light structures used to store pressurized fluids in space shuttles, the international space station and other applications where they are maintained at high pressure for extended periods of time. Given that each and every COPV used in spacecraft is proof tested before entering service and any weight savings on a spacecraft results in significant cost savings, this thesis put forward an application of RBDO that accounts for proof test data in the design of a COPV. The method developed in this thesis shows that, while maintaining high levels of reliability, significant weight savings can be achieved by including proof test data in the design process. Also, the method enables a designer to have control over the magnitude of the proof test, making it possible to also design the proof test itself depending on the desired level of reliability for passing the proof test. The implementation of the method is discussed in detail. The evaluation of the reliability was based on the First Order Reliability Method (FORM) supported by Monte Carlo Simulation. Also, the method is implemented in a versatile way that allows the use of analytical as well as numerical (in the form of finite element) models. Results show that additional weight savings can be achieved by the inclusion of proof test data in the design process.
AFRIKAANSE OPSOMMING: Onlangse studies het getoon dat die gebruik van ontwerp spesifieke proeftoets data in betroubaarheids gebaseerde optimering (BGO) kan lei tot 'n verbeterde ontwerp. BGO behels vele aspekte in die ontwerpsgebied. Die toevoeging van proeftoets data in ontwerpsoptimering bring te weë; die toetsing van 'n ontwerp en onderdele voor gebruik, die aangepaste en verbeterde ontwerp en gewig-besparing met handhawing van hoë betroubaarsheidsvlakke. 'n Praktiese toepassing van die BGO tegniek behels die ontwerp van drukvatte met saamgestelde materiaal bewapening. Die drukvatontwerp is 'n ligte struktuur wat gebruik word in die berging van hoë druk vloeistowwe in bv. in ruimtetuie, in die internasionale ruimtestasie en in ander toepassings waar hoë druk oor 'n tydperk verlang word. Elke drukvat met saamgestelde materiaal bewapening wat in ruimtevaartstelsels gebruik word, word geproeftoets voor gebruik. In ruimte stelselontwerp lei massa besparing tot 'n toename in loonvrag. Die tesis beskryf 'n optimeringsmetode soos ontwikkel en gebaseer op 'n BGO tegniek. Die metode word toegepas in die ontwerp van drukvatte met saamgestelde materiaal bewapening. Die resultate toon dat die gebruik van proeftoets data in massa besparing optimering onderhewig soos aan hoë betroubaarheidsvlakke moontlik is. Verdermeer, die metode laat ook ontwerpers toe om die proeftoetsvlak aan te pas om sodoende by ander betroubaarheidsvlakke te toets. In die tesis word die ontwikkeling en gebruik van die optimeringsmetode uiteengelê. Die evaluering van betroubaarheidsvlakke is gebaseer op 'n eerste orde betroubaarheids-tegniek wat geverifieer word met talle Monte Carlo simulasie resultate. Die metode is ook so geskep dat beide analitiese sowel as eindige element modelle gebruik kan word. Ten slotte, word 'n toepassing getoon waar resultate wys dat die gebruik van die optimeringsmetode met die insluiting van proeftoets data wel massa besparing kan oplewer.
Zhao, Liang. „Reliability-based design optimization using surrogate model with assessment of confidence level“. Diss., University of Iowa, 2011. https://ir.uiowa.edu/etd/1194.
Der volle Inhalt der QuelleGaul, Nicholas John. „Modified Bayesian Kriging for noisy response problems and Bayesian confidence-based reliability-based design optimization“. Diss., University of Iowa, 2014. https://ir.uiowa.edu/etd/1322.
Der volle Inhalt der QuelleDersjö, Tomas. „Methods for reliability based design optimization of structural components“. Doctoral thesis, KTH, Hållfasthetslära (Avd.), 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-90753.
Der volle Inhalt der QuelleQC 20120229
Chen, Qing. „Reliability-based structural design: a case of aircraft floor grid layout optimization“. Thesis, Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/39630.
Der volle Inhalt der QuelleMahadevan, Sankaran. „Stochastic finite element-based structural reliability analysis and optimization“. Diss., Georgia Institute of Technology, 1988. http://hdl.handle.net/1853/19517.
Der volle Inhalt der QuelleBouguila, Maissa. „Μοdélisatiοn numérique et οptimisatiοn des matériaux à changement de phase : applicatiοns aux systèmes cοmplexes“. Electronic Thesis or Diss., Normandie, 2024. http://www.theses.fr/2024NORMIR05.
Der volle Inhalt der QuellePhase-change materials exhibit considerable potential in the field of thermal management.These materials offer a significant thermal storage capacity. Excessive heat dissipated by miniature electronic components could lead to serious failures. A cooling system based on phase-change materials is among the most recommended solutions to guarantee the reliable performance of these microelectronic components. However, the low conductivity of these materials is considered a major limitation to their use in thermal management applications. The primary objective of this thesis is to address the challenge of improving the thermal conductivity of these materials. Numerical modeling is conducted, in the first chapters, to determine the optimal configuration of a heat sink, based on the study of several parameters such as fin insertion, nanoparticle dispersion, and the use of multiple phase-change materials. The innovation in this parametric study lies in the modeling of heat transfer from phase-change materials with relatively high nanoparticle concentration compared to the low concentration found in recent literature (experimental researchs). Significant conclusions are deducted from this parametric study, enabling us to propose a new model based on multiple phase-change materials improved with nanoparticles (NANOMCP). Reliable optimization studies are then conducted. Initially, a mono-objective reliability optimization study is carried out to propose a reliable and optimal model based on multiple NANOMCPs. The Robust Hybrid Method (RHM)proposes a reliable and optimal model, compared with the Deterministic Design Optimization method (DDO) and various Reliability Design Optimization methods (RBDO). Furthermore,the integration of a developed RBDO method (RHM) for the thermal management applicationis considered an innovation in recent literature. Additionally, a reliable multi-objective optimization study is proposed, considering two objectives: the total volume of the heat sink and the discharge time to reach ambient temperature. The RHM optimization method and the non-dominated sorting genetics algorithm (C-NSGA-II) were adopted to search for the optimal and reliable model that offers the best trade-off between the two objectives. Besides, An advanced metamodel is developed to reduce simulation time, considering the large number of iterations involved in finding the optimal model
Patel, Jiten. „Optimal design of mesostructured materials under uncertainty“. Thesis, Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/31829.
Der volle Inhalt der QuelleCommittee Chair: Choi, Seung-Kyum; Committee Member: Muhanna, Rafi; Committee Member: Rosen, David. Part of the SMARTech Electronic Thesis and Dissertation Collection.
Bücher zum Thema "Reliability Design Optimization methods (RBDO)"
Zhang, J. C. Yield and variability optimization of integrated circuits. Boston: Kluwer Academic Publishers, 1995.
Den vollen Inhalt der Quelle findenDodson, Bryan. Probabilistic design for optimization and robustness for engineers. 2014.
Den vollen Inhalt der Quelle findenLi, Xin, Jiayong Le und Lawrence T. Pileggi. Statistical Performance Modeling and Optimization. Now Publishers Inc, 2007.
Den vollen Inhalt der Quelle findenBuchteile zum Thema "Reliability Design Optimization methods (RBDO)"
Tahir, Arslan, und Claus Kunz. „Reliability Based Rehabilitation of Existing Hydraulic Structures“. In Lecture Notes in Civil Engineering, 578–90. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-6138-0_50.
Der volle Inhalt der QuelleKharmanda, Ghias, Abedelkhalak El Hami und Eduardo Souza De Cursi. „Reliability-based Design Optimization (RBDO)“. In Multidisciplinary Design Optimization in Computational Mechanics, 425–58. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118600153.ch11.
Der volle Inhalt der QuelleMajumder, Rohan, und Sudib K. Mishra. „Reliability Based Design Optimization (RBDO) of Randomly Imperfect Thin Cylindrical Shells Against Post-Critical Drop“. In Recent Developments in Structural Engineering, Volume 1, 47–55. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-9625-4_5.
Der volle Inhalt der QuelleVu-Quoc, Loc, und Alexander Humer. „Stochastic Optimization Methods in Machine Learning“. In Reliability-Based Analysis and Design of Structures and Infrastructure, 315–32. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003194613-21.
Der volle Inhalt der QuelleTorng, T. Y., und R. J. Yang. „Robust Structural System Design Using A System Reliability-Based Design Optimization Method“. In Probabilistic Structural Mechanics: Advances in Structural Reliability Methods, 534–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-85092-9_35.
Der volle Inhalt der QuelleSohouli, A., M. Yildiz und A. Suleman. „Design Optimization and Reliability Analysis of Variable Stiffness Composite Structures“. In Computational Methods in Applied Sciences, 245–65. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-44507-6_13.
Der volle Inhalt der QuelleQuagliarella, Domenico, Giovanni Petrone und Gianluca Iaccarino. „Reliability-Based Design Optimization with the Generalized Inverse Distribution Function“. In Computational Methods in Applied Sciences, 77–92. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11541-2_5.
Der volle Inhalt der QuelleGeorgioudakis, Manolis, Nikos D. Lagaros und Manolis Papadrakakis. „Reliability-Based Shape Design Optimization of Structures Subjected to Fatigue“. In Computational Methods in Applied Sciences, 451–88. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18320-6_24.
Der volle Inhalt der QuelleMakhloufi, Abderahman, und Abdelkhalak El Hami. „Reliability-Based Design Optimization and Its Applications to Interaction Fluid Structure Problems“. In Numerical Methods for Reliability and Safety Assessment, 623–46. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07167-1_24.
Der volle Inhalt der QuelleHejazi, Taha-Hossein, Mirmehdi Seyyed-Esfahani und Iman Soleiman-Meigooni. „Robust Design of Accelerated Life Testing and Reliability Optimization: Response Surface Methodology Approach“. In Numerical Methods for Reliability and Safety Assessment, 329–64. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07167-1_11.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Reliability Design Optimization methods (RBDO)"
Chiralaksanakul, Anukal, und Sankaran Mahadevan. „Reliability-Based Design Optimization Methods“. In ASME 2004 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/detc2004-57456.
Der volle Inhalt der QuelleZou, Tong, Sankaran Mahadevan und Akhil Sopory. „A Reliability-Based Design Method Using Simulation Techniques and Efficient Optimization Approach“. In ASME 2004 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/detc2004-57457.
Der volle Inhalt der QuelleCho, Hyunkyoo, K. K. Choi und David Lamb. „Confidence-Based Method for Reliability-Based Design Optimization“. In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-34644.
Der volle Inhalt der QuelleChoi, Kyung K., Yoojeong Noh und Liu Du. „Reliability Based Design Optimization With Correlated Input Variables Using Copulas“. In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-35104.
Der volle Inhalt der QuelleOza, Kunjal, und Hae Chang Gea. „Two-Level Approximation Method for Reliability-Based Design Optimization“. In ASME 2004 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/detc2004-57463.
Der volle Inhalt der QuelleMansour, Rami, und Mårten Olsson. „The Response Surface Single Loop Reliability-Based Design Optimization Method With Reliability Requirement on System Failure“. In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-60505.
Der volle Inhalt der QuelleSopory, Akhil, Sankaran Mahadevan, Zissimos P. Mourelatos und Jian Tu. „Decoupled and Single Loop Methods for Reliability-Based Optimization and Robust Design“. In ASME 2004 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/detc2004-57404.
Der volle Inhalt der QuelleChoi, Kyung K., und Byeng D. Youn. „Hybrid Analysis Method for Reliability-Based Design Optimization“. In ASME 2001 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/detc2001/dac-21044.
Der volle Inhalt der QuelleWang, Pingfeng, Byeng D. Youn und Lee J. Wells. „Bayesian Reliability Based Design Optimization Using Eigenvector Dimension Reduction (EDR) Method“. In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-35524.
Der volle Inhalt der QuelleLiang, Jinghong, Zissimos P. Mourelatos und Jian Tu. „A Single-Loop Method for Reliability-Based Design Optimization“. In ASME 2004 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/detc2004-57255.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Reliability Design Optimization methods (RBDO)"
L51816 Reliability-Based Prevention of Mechanical Damage to Pipelines. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), August 2000. http://dx.doi.org/10.55274/r0010429.
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