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Approximation Methods For High Dimensional Simulation Results Parameter Sensitivity Analysis And Propagation Of Variations For Process Chains


Approximation Methods For High Dimensional Simulation Results Parameter Sensitivity Analysis And Propagation Of Variations For Process Chains
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Approximation Methods For High Dimensional Simulation Results Parameter Sensitivity Analysis And Propagation Of Variations For Process Chains


Approximation Methods For High Dimensional Simulation Results Parameter Sensitivity Analysis And Propagation Of Variations For Process Chains
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Author : Daniela Steffes-lai
language : en
Publisher: Logos Verlag Berlin GmbH
Release Date : 2014

Approximation Methods For High Dimensional Simulation Results Parameter Sensitivity Analysis And Propagation Of Variations For Process Chains written by Daniela Steffes-lai and has been published by Logos Verlag Berlin GmbH this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Mathematics categories.


This work addresses the analysis of a sequential chain of processing steps, which is particularly important for the manufacture of robust product components. In each processing step, the material properties may have changed and distributions of related characteristics, for example, strains, may become inhomogeneous. For this reason, the history of the process including design-parameter uncertainties becomes relevant for subsequent processing steps. Therefore, we have developed a methodology, called PRO-CHAIN, which enables an efficient analysis, quantification, and propagation of uncertainties for complex process chains locally on the entire mesh. This innovative methodology has the objective to improve the overall forecast quality, specifically, in local regions of interest, while minimizing the computational effort of subsequent analysis steps. We have demonstrated the benefits and efficiency of the methodology proposed by means of real applications from the automotive industry.



Compression Of An Array Of Similar Crash Test Simulation Results


Compression Of An Array Of Similar Crash Test Simulation Results
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Author : Stefan Peter Müller
language : en
Publisher: Logos Verlag Berlin GmbH
Release Date : 2022-02-08

Compression Of An Array Of Similar Crash Test Simulation Results written by Stefan Peter Müller and has been published by Logos Verlag Berlin GmbH this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-08 with Mathematics categories.


Big data thrives on extracting knowledge from a large number of data sets. But how is an application possible when a single data set is several gigabytes in size? The innovative data compression techniques from the field of machine learning and modeling using Bayesian networks, which have been theoretically developed and practically implemented here, can reduce these huge amounts of data to a manageable size. By eliminating redundancies in location, time, and between simulation results, data reductions to less than 1% of the original size are possible. The developed method represents a promising approach whose use goes far beyond the application example of crash test simulations chosen here.



Artificial Neural Networks And Machine Learning Icann 2020


Artificial Neural Networks And Machine Learning Icann 2020
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Author : Igor Farkaš
language : en
Publisher: Springer Nature
Release Date : 2020-10-19

Artificial Neural Networks And Machine Learning Icann 2020 written by Igor Farkaš and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-19 with Computers categories.


The proceedings set LNCS 12396 and 12397 constitute the proceedings of the 29th International Conference on Artificial Neural Networks, ICANN 2020, held in Bratislava, Slovakia, in September 2020.* The total of 139 full papers presented in these proceedings was carefully reviewed and selected from 249 submissions. They were organized in 2 volumes focusing on topics such as adversarial machine learning, bioinformatics and biosignal analysis, cognitive models, neural network theory and information theoretic learning, and robotics and neural models of perception and action. *The conference was postponed to 2021 due to the COVID-19 pandemic.



Numerical Methods In Sensitivity Analysis And Shape Optimization


Numerical Methods In Sensitivity Analysis And Shape Optimization
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Author : Emmanuel Laporte
language : en
Publisher: Springer Science & Business Media
Release Date : 2002-12-13

Numerical Methods In Sensitivity Analysis And Shape Optimization written by Emmanuel Laporte and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-12-13 with Mathematics categories.


Sensitivity analysis and optimal shape design are key issues in engineering that have been affected by advances in numerical tools currently available. This book, and its supplementary online files, presents basic optimization techniques that can be used to compute the sensitivity of a given design to local change, or to improve its performance by local optimization of these data. The relevance and scope of these techniques have improved dramatically in recent years because of progress in discretization strategies, optimization algorithms, automatic differentiation, software availability, and the power of personal computers. Numerical Methods in Sensitivity Analysis and Shape Optimization will be of interest to graduate students involved in mathematical modeling and simulation, as well as engineers and researchers in applied mathematics looking for an up-to-date introduction to optimization techniques, sensitivity analysis, and optimal design.



Methods For High Dimensional Uncertainty Quantification


Methods For High Dimensional Uncertainty Quantification
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Author : Gary Tang
language : en
Publisher:
Release Date : 2013

Methods For High Dimensional Uncertainty Quantification written by Gary Tang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.


Surrogates are used to mitigate the aggregate cost of simulation needed to perform a comprehensive uncertainty quantification (UQ) analysis. A realistic uncertainty analysis of any engineering system involves a large number of uncertainties, and as a result, the surrogates take inputs in a high dimensional space. We investigate surrogates that take the form of a truncated Legendre polynomial series, from which the coefficients associated to each polynomial basis function must be estimated. High dimensional estimation is a known instance of the curse of dimensionality, and for sufficiently "complex'" functions, an unsolved problem. In order to break the curse, we assume the function to be approximated is sparse in the Legendre polynomials and employ the machinery of l-1-regularized regression. We make three contributions under this theme. Firstly, we present a novel approach to choosing sample (design) points and show that it yields lower estimation error over a broad range of functions compared to existing sampling approaches. Secondly, we give a novel sparse estimator that effectively uses (partial) derivative information for estimation and show empirically that estimation using derivatives can be more efficient than function values if the derivatives are sparser than the function. Thirdly, we show that by exploiting the best k-term approximation} property of l-1-methods, we can quickly identify the most signfiicant uncertainties and reduce the dimensionality of the input space accordingly. We conclude by demonstrating the efficacy of these methods in a UQ analysis of a notional vertical axis wind turbine design.



Scientific And Technical Aerospace Reports


Scientific And Technical Aerospace Reports
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Author :
language : en
Publisher:
Release Date : 1992

Scientific And Technical Aerospace Reports written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Aeronautics categories.




Applied Mechanics Reviews


Applied Mechanics Reviews
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Author :
language : en
Publisher:
Release Date : 1948

Applied Mechanics Reviews written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1948 with Mechanics, Applied categories.




Sensitivity Analysis Matrix Methods In Demography And Ecology


Sensitivity Analysis Matrix Methods In Demography And Ecology
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Author : Hal Caswell
language : en
Publisher: Springer
Release Date : 2019-04-02

Sensitivity Analysis Matrix Methods In Demography And Ecology written by Hal Caswell and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-02 with Social Science categories.


This open access book shows how to use sensitivity analysis in demography. It presents new methods for individuals, cohorts, and populations, with applications to humans, other animals, and plants. The analyses are based on matrix formulations of age-classified, stage-classified, and multistate population models. Methods are presented for linear and nonlinear, deterministic and stochastic, and time-invariant and time-varying cases. Readers will discover results on the sensitivity of statistics of longevity, life disparity, occupancy times, the net reproductive rate, and statistics of Markov chain models in demography. They will also see applications of sensitivity analysis to population growth rates, stable population structures, reproductive value, equilibria under immigration and nonlinearity, and population cycles. Individual stochasticity is a theme throughout, with a focus that goes beyond expected values to include variances in demographic outcomes. The calculations are easily and accurately implemented in matrix-oriented programming languages such as Matlab or R. Sensitivity analysis will help readers create models to predict the effect of future changes, to evaluate policy effects, and to identify possible evolutionary responses to the environment. Complete with many examples of the application, the book will be of interest to researchers and graduate students in human demography and population biology. The material will also appeal to those in mathematical biology and applied mathematics.



Cumulated Index Medicus


Cumulated Index Medicus
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Author :
language : en
Publisher:
Release Date : 1985

Cumulated Index Medicus written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with Medicine categories.




Cities And Their Vital Systems


Cities And Their Vital Systems
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Author : Advisory Committee on Technology and Society
language : en
Publisher: National Academies Press
Release Date : 1989

Cities And Their Vital Systems written by Advisory Committee on Technology and Society and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with Social Science categories.


Cities and Their Vital Systems asks basic questions about the longevity, utility, and nature of urban infrastructures; analyzes how they grow, interact, and change; and asks how, when, and at what cost they should be replaced. Among the topics discussed are problems arising from increasing air travel and airport congestion; the adequacy of water supplies and waste treatment; the impact of new technologies on construction; urban real estate values; and the field of "telematics," the combination of computers and telecommunications that makes money machines and national newspapers possible.