Articles with "sensitivity based" as a keyword



Photo from wikipedia

Experimental Validation of the Sensitivity-Based Virtual Fields for Identification of Anisotropic Plasticity Models

Sign Up to like & get
recommendations!
Published in 2020 at "Experimental Mechanics"

DOI: 10.1007/s11340-019-00575-3

Abstract: In this work, the sensitivity-based virtual fields have been applied to identify two anisotropic plasticity models (Hill48, Yld2000-2D) using a deep-notched tensile test performed on flat samples of cold-rolled sheet of DC04 steel. The material… read more here.

Keywords: sensitivity based; based virtual; anisotropic plasticity; virtual fields ... See more keywords

A novel sensitivity-based method for damage detection of a structural element

Sign Up to like & get
recommendations!
Published in 2020 at "Asian Journal of Civil Engineering"

DOI: 10.1007/s42107-020-00263-x

Abstract: A novel and efficient method is presented for identifying the location and severity of damage in structural elements using vibration modes and circular natural frequency. This method is based on sensitivity analysis of the structure… read more here.

Keywords: sensitivity based; sensitivity; based method; damage ... See more keywords
Photo by charlesdeluvio from unsplash

Maximum sensitivity (Ms)-based I-PD controller design for the control of integrating processes with time delay

Sign Up to like & get
recommendations!
Published in 2022 at "International Journal of Systems Science"

DOI: 10.1080/00207721.2022.2122759

Abstract: Integrating processes, whose one or more poles are located at the origin, are common in the process industry. This paper focuses on maximum sensitivity (Ms)-based control of these types of processes. Integral–proportional derivative (I-PD) controllers… read more here.

Keywords: sensitivity based; control; maximum sensitivity; integrating processes ... See more keywords
Photo by efekurnaz from unsplash

Combination of sensitivity-based and random sampling-based methodologies for efficient uncertainty quantification calculations with control variates method

Sign Up to like & get
recommendations!
Published in 2019 at "Journal of Nuclear Science and Technology"

DOI: 10.1080/00223131.2019.1630022

Abstract: ABSTRACT A combined method of the sensitivity-based and random sampling-based methodologies is proposed for efficient uncertainty quantification calculations. The proposed method is based on the control variates (CV) method, in which a mean value of… read more here.

Keywords: sensitivity based; random sampling; proposed method; based methodologies ... See more keywords
Photo from wikipedia

An improved sensitivity-based coordination method using optimum sensitivity and its application to structural optimization of an unmanned aerial vehicle family

Sign Up to like & get
recommendations!
Published in 2020 at "Engineering Optimization"

DOI: 10.1080/0305215x.2020.1739277

Abstract: ABSTRACT This article discusses important improvements in the sensitivity-based coordination method (SCM) for the optimization of product family or quasi-separable problems. In this method, first presented by Zou et al. [Engineering Optimization 48(7), 2016], the… read more here.

Keywords: sensitivity based; based coordination; family; sensitivity ... See more keywords
Photo by charlesdeluvio from unsplash

Sensitivity-Based Warmstarting for Nonlinear Model Predictive Control With Polyhedral State and Control Constraints

Sign Up to like & get
recommendations!
Published in 2020 at "IEEE Transactions on Automatic Control"

DOI: 10.1109/tac.2019.2954359

Abstract: Model predictive control (MPC) is of increasing interest in applications for constrained control of multivariate systems. However, one of the major obstacles to its broader use is the computation time and effort required to solve… read more here.

Keywords: control; predictive control; based warmstarting; model predictive ... See more keywords
Photo by campaign_creators from unsplash

Improving MapReduce privacy by implementing multi-dimensional sensitivity-based anonymization

Sign Up to like & get
recommendations!
Published in 2017 at "Journal of Big Data"

DOI: 10.1186/s40537-017-0104-5

Abstract: Big data is predominantly associated with data retrieval, storage, and analytics. Data analytics is prone to privacy violations and data disclosures, which can be partly attributed to the multi-user characteristics of big data environments. Adversaries… read more here.

Keywords: sensitivity based; big data; anonymization; based anonymization ... See more keywords