標(biāo)題: Titlebook: Topics in Model Validation and Uncertainty Quantification, Volume 5; Proceedings of the 3 Todd Simmermacher,Scott Cogan,Costas Papadimitrio [打印本頁] 作者: JAR 時(shí)間: 2025-3-21 19:37
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書目名稱Topics in Model Validation and Uncertainty Quantification, Volume 5網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Topics in Model Validation and Uncertainty Quantification, Volume 5被引頻次
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書目名稱Topics in Model Validation and Uncertainty Quantification, Volume 5年度引用學(xué)科排名
書目名稱Topics in Model Validation and Uncertainty Quantification, Volume 5讀者反饋
書目名稱Topics in Model Validation and Uncertainty Quantification, Volume 5讀者反饋學(xué)科排名
作者: Incise 時(shí)間: 2025-3-21 20:46
2191-5644 fication, Volume : Proceedings of the 31.st. IMAC, A Conference and Exposition on Structural Dynamics, 2013, .the fifth volume of seven from the Conference, brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fu作者: 高談闊論 時(shí)間: 2025-3-22 04:25
Using P-Box and PiFE to Express Uncertainty in Model Updating, possible combination techniques are applicable with PiFE and produce bounds that include the cumulative distribution function of the structural parameters. The probability bounds found with the all possible combinations method was narrower for this particular example.作者: 明確 時(shí)間: 2025-3-22 07:26 作者: legacy 時(shí)間: 2025-3-22 09:30 作者: 預(yù)感 時(shí)間: 2025-3-22 16:46
Robust Tolerance Design in Structural Dynamics,amic responses of interest; (3) identify factors to be adjusted and transform the problem into a multi-objective optimization. A benchmark tolerance design of a joint assembly of aero engine casings is used to verify the feasibility of the approach.作者: 外形 時(shí)間: 2025-3-22 18:40 作者: gout109 時(shí)間: 2025-3-22 23:28 作者: Occupation 時(shí)間: 2025-3-23 02:36 作者: 玉米棒子 時(shí)間: 2025-3-23 08:50
Orthogonality for Modal Vector Correlation: The Effects of Removing Degrees-of-Freedom,dom (DOF) selection was used to systematically reduce the DOF’s of the FEM and understand the effects of DOF reduction on MAC, the Guyan TAM and the System Equivalent Reduction/Expansion Process (SEREP) TAM.作者: meretricious 時(shí)間: 2025-3-23 12:03
2191-5644 ndamental and applied aspects of Structural Dynamics, including papers on:.?.Uncertainty Quantification & Propagation in Structural Dynamics.Robustness to Lack of Knowledge in Design.Model Validation.978-1-4899-9604-6978-1-4614-6564-5Series ISSN 2191-5644 Series E-ISSN 2191-5652 作者: 伙伴 時(shí)間: 2025-3-23 17:00 作者: adhesive 時(shí)間: 2025-3-23 20:52
Remaining Fatigue Life Predictions Considering Load and Model Parameters Uncertainty,ed to cyclic and/or random operational loads during their service life. Therefore, monitoring the critical components of these systems, assessing their structural integrity, recursively predicting their remaining fatigue life (RFL), and providing a cost-efficient reliability-based inspection and mai作者: 運(yùn)動(dòng)性 時(shí)間: 2025-3-23 22:59
Fast Computing Techniques for Bayesian Uncertainty Quantification in Structural Dynamics,tegrated with the Bayesian framework to efficiently handle large-order models of hundreds of thousands or millions degrees of freedom and localized nonlinear actions activated during system operation. Fast and accurate component mode synthesis (CMS) techniques are proposed, consistent with the finit作者: 中世紀(jì) 時(shí)間: 2025-3-24 03:12 作者: 老人病學(xué) 時(shí)間: 2025-3-24 08:15 作者: Crohns-disease 時(shí)間: 2025-3-24 13:09
Considering Wave Passage Effects in Blind Identification of Long-Span Bridges,l conditions, as well as loss of coherency in arriving waves. These spatial variations can drastically influence the dynamic response; hence, this phenomenon must be considered in any vibration-based identification method. There are numerous Multi-Input Multi-Output (MIMO) identification techniques 作者: DEVIL 時(shí)間: 2025-3-24 15:37
Quantification of Parametric Model Uncertainties in Finite Element Model Updating Problem via Fuzzy Numbers, knowledge about the physical parameters that control the actual behavior. In this sense, parametric identification of civil engineering structures using uncertain numerical models should be subject to a particular interest in terms of accuracy and reliability of identified models. In this study, mo作者: 獎(jiǎng)牌 時(shí)間: 2025-3-24 20:12
Quantifying Maximum Achievable Accuracy of Identified Modal Parameters from Noise Contaminated Free Vibration Data,sian white noise. These limits are found through the Cramer-Rao lower bound. The paper compares the exact findings with previous approximate results found in the literature. Comparisons are drawn with results from stochastic simulations of a Fourier domain approach for estimation of natural frequenc作者: 鐵砧 時(shí)間: 2025-3-25 00:13 作者: carotenoids 時(shí)間: 2025-3-25 05:28
Robust Model Calibration with Load Uncertainties,bjected to uncertain loads. Lack of knowledge is commonplace in this kind of engineering system and a realistic model calibration cannot be performed without taking into account this type of uncertainty. The question at stake in this study is how to perform a robust predictive model of a dynamic sys作者: cliche 時(shí)間: 2025-3-25 07:38 作者: Fraudulent 時(shí)間: 2025-3-25 11:46 作者: URN 時(shí)間: 2025-3-25 18:16
Orthogonality for Modal Vector Correlation: The Effects of Removing Degrees-of-Freedom,uce Finite Element Model (FEM) based mass matrices and the Modal Assurance Criterion (MAC). These associated technologies have all been developed to try and correlate the FEM and experimentally obtained mode shapes. A case study is presented where the Effective Independence method for Degree-of-Free作者: Curmudgeon 時(shí)間: 2025-3-25 23:07
CAE Model Correlation Metrics for Automotive Noise and Vibration Analysis,horten development time. To serve their purpose, it is important to understand the CAE capability of a model. A metric is essential to quantify this capability as well as track its history for improvement over the time. In particular, the noise and vibration sensitivity of a vehicle to a unit force 作者: TAIN 時(shí)間: 2025-3-26 03:17
Damage Localization Using a Statistical Test on Residuals from the SDDLV Approach,ems, when the excitation is not measurable, can be carried out using the Stochastic Dynamic Damage Locating Vector (SDDLV) approach, a method that interrogates changes in a matrix that has the same kernel as the change in the transfer matrix at the sensor locations. Damage location is related to som作者: anthropologist 時(shí)間: 2025-3-26 08:12
Robust Tolerance Design in Structural Dynamics,ed products. A systematic tolerance design strategy is required to control this kind of variation, and an approach for tolerance design based on robust design theory is proposed in this paper with a focus on the optimization of the dynamic response. The approach is based on Taguchi’s method, and per作者: Brochure 時(shí)間: 2025-3-26 11:45 作者: 直言不諱 時(shí)間: 2025-3-26 14:09
Crossing and Veering Phenomena in Crank Mechanism Dynamics,nal design process. From experimental point of view, a change in a system parameter due to the need of describing a different assembly configuration, can require iterative measurements, and can be quite time consuming. On the other hand, by evaluating the dynamic behaviour of the single component in作者: vasculitis 時(shí)間: 2025-3-26 19:01 作者: 使熄滅 時(shí)間: 2025-3-27 01:00 作者: 神刊 時(shí)間: 2025-3-27 04:03 作者: 雄偉 時(shí)間: 2025-3-27 09:12
Remaining Fatigue Life Predictions Considering Load and Model Parameters Uncertainty,ith damage evolution model parameter uncertainty and measurement uncertainty are considered in this study. The results obtained demonstrate the efficiency of the proposed framework in recursively updating and improving the RFL estimations and the benefits provided by a nearly continuous monitoring system.作者: 柏樹 時(shí)間: 2025-3-27 12:34 作者: 憤憤不平 時(shí)間: 2025-3-27 15:27 作者: 放牧 時(shí)間: 2025-3-27 18:30
Quantification of Parametric Model Uncertainties in Finite Element Model Updating Problem via Fuzzy Numbers,veloped for simulating bridge structures is used to validate and demonstrate the proposed approaches. The results show that the proposed approaches can efficiently be utilized to quantify the modeling uncertainties for more realizable and quantitative condition assessment and decision making purposes.