標(biāo)題: Titlebook: Aerospace System Analysis and Optimization in Uncertainty; Lo?c Brevault,Mathieu Balesdent,Jér?me Morio Book 2020 Springer Nature Switzerl [打印本頁(yè)] 作者: 中產(chǎn)階級(jí) 時(shí)間: 2025-3-21 18:24
書(shū)目名稱Aerospace System Analysis and Optimization in Uncertainty影響因子(影響力)
書(shū)目名稱Aerospace System Analysis and Optimization in Uncertainty影響因子(影響力)學(xué)科排名
書(shū)目名稱Aerospace System Analysis and Optimization in Uncertainty網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Aerospace System Analysis and Optimization in Uncertainty網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Aerospace System Analysis and Optimization in Uncertainty被引頻次
書(shū)目名稱Aerospace System Analysis and Optimization in Uncertainty被引頻次學(xué)科排名
書(shū)目名稱Aerospace System Analysis and Optimization in Uncertainty年度引用
書(shū)目名稱Aerospace System Analysis and Optimization in Uncertainty年度引用學(xué)科排名
書(shū)目名稱Aerospace System Analysis and Optimization in Uncertainty讀者反饋
書(shū)目名稱Aerospace System Analysis and Optimization in Uncertainty讀者反饋學(xué)科排名
作者: 一再煩擾 時(shí)間: 2025-3-21 22:01 作者: HATCH 時(shí)間: 2025-3-22 01:24
Uncertainty Propagation and Sensitivity AnalysisO context, the simulation code represents, for instance, a set of coupled disciplines and the uncertainty propagation consists in characterizing the multidisciplinary system outputs considering a given number of uncertain input variables modeled with the mathematical formalisms presented in Chapter 作者: 集中營(yíng) 時(shí)間: 2025-3-22 07:43 作者: 吸氣 時(shí)間: 2025-3-22 11:52
Overview of Problem Formulations and Optimization Algorithms in the Presence of Uncertainty phenomena, lack of knowledge, modeling simplifications, etc. Different reviews of optimization techniques in the presence of uncertainty can be found in the literature. The choice of the algorithm is often problem-dependent. The designer has to choose firstly the optimization problem formulation wi作者: harmony 時(shí)間: 2025-3-22 15:58
Uncertainty Propagation for Multidisciplinary Problemsures of multidisciplinary design problems, these methodologies have to be adapted accordingly. This chapter reviews various alternatives described in the literature to efficiently propagate uncertainty in the case of coupled multidisciplinary systems (Figure 6.1).作者: cleaver 時(shí)間: 2025-3-22 17:07 作者: 放肆的你 時(shí)間: 2025-3-22 21:57 作者: pulmonary 時(shí)間: 2025-3-23 03:59 作者: Missile 時(shí)間: 2025-3-23 05:31
Blended Wing Body Designaft fuel consumption and reduce the global air transport environmental footprint. Reaching these two objectives leads to the reduction of the fuel consumption, the reduction of the pollutant emissions (specifically CO. and NO. emissions), and the reduction of noise emissions.作者: 拖網(wǎng) 時(shí)間: 2025-3-23 10:57
Expendable and Reusable Launch Vehicle Designe space agency strategies for Solar system exploration, Earth monitoring and observation, human spaceflight are developed in accordance with their launch vehicle capabilities. Launch vehicle designs are long term projects (around a decade) involving large budgets and requiring efficient organization作者: 套索 時(shí)間: 2025-3-23 14:19
Multidisciplinary System Modeling and Optimizationfrom the early steps and all along the design process. Tightly coupling aerodynamics, propulsion, structure, guidance and navigation, trajectory, etc. but also taking into account environmental and operational constraints as well as manufacturability, reliability, maintainability is a huge challenge.作者: 疲憊的老馬 時(shí)間: 2025-3-23 19:17 作者: gratify 時(shí)間: 2025-3-23 23:12
Blended Wing Body Designaft fuel consumption and reduce the global air transport environmental footprint. Reaching these two objectives leads to the reduction of the fuel consumption, the reduction of the pollutant emissions (specifically CO. and NO. emissions), and the reduction of noise emissions.作者: 仔細(xì)閱讀 時(shí)間: 2025-3-24 05:23 作者: troponins 時(shí)間: 2025-3-24 08:49 作者: 網(wǎng)絡(luò)添麻煩 時(shí)間: 2025-3-24 14:02 作者: DEAWL 時(shí)間: 2025-3-24 15:27 作者: enterprise 時(shí)間: 2025-3-24 21:11
https://doi.org/10.1007/978-1-349-14886-8aft fuel consumption and reduce the global air transport environmental footprint. Reaching these two objectives leads to the reduction of the fuel consumption, the reduction of the pollutant emissions (specifically CO. and NO. emissions), and the reduction of noise emissions.作者: Myocarditis 時(shí)間: 2025-3-25 01:40 作者: adulterant 時(shí)間: 2025-3-25 06:40 作者: 全神貫注于 時(shí)間: 2025-3-25 09:24
Springer Optimization and Its Applicationshttp://image.papertrans.cn/a/image/150535.jpg作者: DEMN 時(shí)間: 2025-3-25 13:49
https://doi.org/10.1007/978-3-030-39126-3Aerospace system design; global multidisciplinary optimization; Multidisciplinary Design Optimization; 作者: cartilage 時(shí)間: 2025-3-25 19:04 作者: 植物群 時(shí)間: 2025-3-25 20:21 作者: BLUSH 時(shí)間: 2025-3-26 01:13 作者: Vldl379 時(shí)間: 2025-3-26 07:42 作者: 迅速飛過(guò) 時(shí)間: 2025-3-26 11:38 作者: GOUGE 時(shí)間: 2025-3-26 15:05 作者: Ardent 時(shí)間: 2025-3-26 19:33
Sustainable Materials and Technologyures of multidisciplinary design problems, these methodologies have to be adapted accordingly. This chapter reviews various alternatives described in the literature to efficiently propagate uncertainty in the case of coupled multidisciplinary systems (Figure 6.1).作者: 裂隙 時(shí)間: 2025-3-26 21:07 作者: 減去 時(shí)間: 2025-3-27 03:25 作者: tangle 時(shí)間: 2025-3-27 08:19
Philip Gummett,Josephine Anne Stein without any action. To reduce its environmental footprint, engineers are trying to design more efficient aircraft, with engines less consuming. However, the classical aircraft’s tube and wing configuration has been developed over half a century, and it still offers small potential gain. A breakthro作者: Fortify 時(shí)間: 2025-3-27 12:52 作者: N防腐劑 時(shí)間: 2025-3-27 17:24
Nikolai Anfimov,Nikolai Severtseve space agency strategies for Solar system exploration, Earth monitoring and observation, human spaceflight are developed in accordance with their launch vehicle capabilities. Launch vehicle designs are long term projects (around a decade) involving large budgets and requiring efficient organization作者: 完成才會(huì)征服 時(shí)間: 2025-3-27 20:52 作者: 牢騷 時(shí)間: 2025-3-28 00:31
MDO Related Issues: Multi-Objective and Mixed Continuous/Discrete OptimizationIn addition to the multi-fidelity aspects in MDO discussed in Chapter ., two additional topics of interest to solve complex MDO problems are discussed in this chapter: multi-objective MDO and mixed continuous/discrete variable design optimization problems.作者: tariff 時(shí)間: 2025-3-28 05:52
Book 2020for?single discipline problems with a review of existing uncertainty propagation, reliability analysis, and optimization techniques. Part III is dedicated to the uncertainty-based?MDO and related issues. Part IV deals with three MDO related issues: the multifidelity,?the multi-objective optimization作者: 祖?zhèn)?nbsp; 時(shí)間: 2025-3-28 08:14
https://doi.org/10.1007/978-0-85729-856-0ainty measures and the distinctions between robustness-based formulation, reliability-based formulation, and robustness-and-reliability-based formulation. Then, in Section 5.2, different approaches to quantify the uncertainty in optimization are discussed. Finally, in the Section 5.3, an overview of作者: 暫停,間歇 時(shí)間: 2025-3-28 12:57
Erhard Geissler,Lajos Gazsó,Ernst Budersciplinary couplings, etc.) and the difficulties involved by uncertainty propagation for multi-physics problems. Most of the existing UMDO formulations are built on the uncertainty propagation techniques dedicated to multidisciplinary problems presented in Chapter .. The algorithms used to solve the作者: LEVER 時(shí)間: 2025-3-28 16:29 作者: Wernickes-area 時(shí)間: 2025-3-28 22:29
1931-6828 ity analysis, and optimization techniques. Part III is dedicated to the uncertainty-based?MDO and related issues. Part IV deals with three MDO related issues: the multifidelity,?the multi-objective optimization978-3-030-39128-7978-3-030-39126-3Series ISSN 1931-6828 Series E-ISSN 1931-6836 作者: 陳列 時(shí)間: 2025-3-28 23:46
Overview of Problem Formulations and Optimization Algorithms in the Presence of Uncertaintyainty measures and the distinctions between robustness-based formulation, reliability-based formulation, and robustness-and-reliability-based formulation. Then, in Section 5.2, different approaches to quantify the uncertainty in optimization are discussed. Finally, in the Section 5.3, an overview of作者: 心痛 時(shí)間: 2025-3-29 06:45 作者: degradation 時(shí)間: 2025-3-29 07:54 作者: exostosis 時(shí)間: 2025-3-29 12:53
Inamuddin,Abdullah M. Asiri,Eric Lichtfouseten induce very low probability of failures (said below 10.). In this case, Monte Carlo based methods are not efficient inducing unaffordable costs with regard to the available simulation budget. In this chapter, we review the main simulation techniques to estimate low failure probabilities with accuracy.作者: laceration 時(shí)間: 2025-3-29 15:36
