scholarly journals Modification of Variance-Based Sensitivity Indices for Stochastic Evaluation of Monitoring Measures

2021 ◽  
Vol 6 (11) ◽  
pp. 149
Author(s):  
David Sanio ◽  
Mark Alexander Ahrens ◽  
Peter Mark

In complex engineering models, various uncertain parameters affect the computational results. Most of them can only be estimated or assumed quite generally. In such a context, measurements are interesting to determine the most decisive parameters accurately. While measurements can reduce parameters’ variance, structural monitoring might improve general assumptions on distributions and their characteristics. The decision on variables being measured often relies on experts’ practical experience. This paper introduces a method to stochastically estimate the potential benefits of measurements by modified sensitivity indices. They extend the established variance-based sensitivity indices originally suggested by Sobol’. They do not quantify the importance of a variable but the importance of its variance reduction. The numerical computation is presented and exemplified on a reference structure, a 50-year-old pre-stressed concrete bridge in Germany, where the prediction of the fatigue lifetime of the pre-stressing steel is of concern. Sensitivity evaluation yields six important parameters (e.g., shape of the S–N curve, temperature loads, creep, and shrinkage). However, taking into account individual monitoring measures and suited measurements identified by the modified sensitivity indices, creep and shrinkage, temperature loads, and the residual pre-strain of the tendons turn out to be most efficient. They grant the highest gains of accuracy with respect to the lifetime prediction.

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
J Txarramendieta Suarez

Abstract One of the SCIROCCO twinning and coaching activities was conducted between two healthcare systems: Scotland and The Basque Country. The objective of this presentation is to describe the experience of the receiving region, the Basque Country. In particular, it will outline the role and engagement of the voluntary sector in the provision of integrated care in the Basque Country, in terms of: Organisation, including the definition of the voluntary sector, its size and stakeholders;Engagement of the voluntary sector with integration of careMotivation for the knowledge transfer activity with ScotlandObjectives of twinning, potential benefits of the knowledge transfer activityFeasibility and required adaptation for the transferPriority actions, main learningsConclusions, lessons learned


2019 ◽  
Vol 23 (4) ◽  
Author(s):  
Débora de Oliveira Ferreira ◽  
Maria Paula Custódio Silva ◽  
Tanyse Galon ◽  
Bethania Ferreira Goulart ◽  
Jesislei Bonolo do Amaral ◽  
...  

Abstract Objective: To analyze the knowledge, potentialities and barriers related to the implantation of the Kangaroo Method in the perception of nurses who work in the maternal-infant units of a school hospital. Method: An exploratory-descriptive research with a qualitative approach, guided by the Policy of Humanized Attention to the Low Weight Newborn, Kangaroo Method. Held between January and March 2018, with eight nurses from a maternal-infant unit. Data was collected between January and March 2018, through semi-structured interviews, transcribed and submitted to Thematic Content Analysis associated with Atlas Ti version eight resources. Results: Three categories emerged: Barriers to the development of the Kangaroo Method; Knowledge about the Kangaroo Method; and Potentialities of the Kangaroo Method. Conclusions and implications for practice: The nurses' speeches revealed partial knowledge, lack of practical experience and barriers related to team resistance and lack of institutional support, although they considered the method with potential benefits to provide bonding and indicate continuing education as a necessary strategy for its implementation.


Water ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 1062 ◽  
Author(s):  
Anqi Wang ◽  
Dimitri P. Solomatine

Currently, practically no modeling study is expected to be carried out without some form of Sensitivity Analysis (SA). At the same time, there is a large number of various methods and it is not always easy for practitioners to choose one. The aim of this paper is to briefly review main classes of SA methods, and to present the results of the practical comparative analysis of applying them. Six different global SA methods: Sobol, eFAST (extended Fourier Amplitude Sensitivity Test), Morris, LH-OAT, RSA (Regionalized Sensitivity Analysis), and PAWN are tested on three conceptual rainfall-runoff models with varying complexity: (GR4J, Hymod, and HBV) applied to the case study of Bagmati basin (Nepal). The methods are compared with respect to effectiveness, efficiency, and convergence. A practical framework of selecting and using the SA methods is presented. The result shows that, first of all, all the six SA methods are effective. Morris and LH-OAT methods are the most efficient methods in computing SI and ranking. eFAST performs better than Sobol, and thus it can be seen as its viable alternative for Sobol. PAWN and RSA methods have issues of instability, which we think are due to the ways Cumulative Distribution Functions (CDFs) are built, and using Kolmogorov–Smirnov statistics to compute Sensitivity Indices. All the methods require sufficient number of runs to reach convergence. Difference in efficiency of different methods is an inevitable consequence of the differences in the underlying principles. For SA of hydrological models, it is recommended to apply the presented practical framework assuming the use of several methods, and to explicitly take into account the constraints of effectiveness, efficiency (including convergence), ease of use, and availability of software.


2012 ◽  
Vol 193-194 ◽  
pp. 1290-1295 ◽  
Author(s):  
Fang Yuan Li ◽  
Zheng Yuan Xie ◽  
Xiao Shuai Guo

When the bridges broaden with seamless technology, there are differences between the existing bridge and the new bridge in design, construction and service. Because of concrete creep and shrinkage, temperature effect and prestress loss, there are stress defects in the seam, which will affect the service and safety. The current methods for the seam in foreign and domestic, such as plant steel and semi-rigid connection method are passive measures based on structure exiting state, which cannot ensure the long-term performance of the seam.


2021 ◽  
Vol 9 (4) ◽  
pp. 71-75
Author(s):  
Marina Shutova ◽  
Aleksandra Plahutina ◽  
Viktoriya Kuzheleva

Recently, more and more attention has been paid to the potential benefits of BIM in construction. Effective communication between stakeholders at all stages of the building life cycle has become a major challenge in the global industry. The implementation of Building Information Modeling (BIM) has been recognized as a productive approach to solving this problem. A literature review identified key issues related to the use and implementation of BIM. This article presents the design of an industrial building (architectural, structural, organizational and technical solutions) using four software systems, shows the practical experience of optimizing the construction of a workshop based on the data of the information model of the building.


2014 ◽  
Vol 587-589 ◽  
pp. 1581-1585 ◽  
Author(s):  
Fang Yuan Li ◽  
Xiao Shuai Guo

In view of the difference in design, construction and the usage of the old and the new bridges, there are always stress defects in seamline because of the concrete creep and shrinkage, temperature effect and prestress loss, which seriously affect the service and driving safety. The current ways in foreign and domestic, such as plant steel and semi-rigid connection method, are passive processing based on structure, can’t ensure the long-term performance. According to the three direction stress existing in the seamline, this paper decomposes the material contribution and structure influence, putting forward respectively using material and structure to overcome the adverse situation, using material to remove partial long-term effect, and through the sensitivity analysis of related parameters, to make the structure bearing the rest adverse effect, ensuring the long-term performance of seamline. The relevant conclusion can provide reference for the design and construction of the concrete bridge seamline.


2013 ◽  
Vol 11 (8) ◽  
Author(s):  
Ivan Dimov ◽  
Raya Georgieva ◽  
Tzvetan Ostromsky ◽  
Zahari Zlatev

AbstractThe influence of emission levels on the concentrations of four important air pollutants (ammonia, ozone, ammonium sulphate and ammonium nitrate) over three European cities (Milan, Manchester, and Edinburgh) with different geographical locations is considered. Sensitivity analysis of the output of the Unified Danish Eulerian Model according to emission levels is provided. The Sobol’ variance-based approach for global sensitivity analysis has been applied to compute the corresponding sensitivity measures. To measure the influence of the variation of emission levels over the pollutants concentrations the Sobol’ global sensitivity indices are estimated using efficient techniques for small sensitivity indices to avoid the effect of loss of accuracy. Theoretical studies, as well as, practical computations are performed in order to analyze efficiency of various variance reduction techniques for computing small indices. The importance of accurate estimation of small sensitivity indices is analyzed. It is shown that the correlated sampling technique for small sensitivity indices gives reliable results for the full set of indices. Its superior efficiency is studied in details.


2018 ◽  
Author(s):  
Anqi Wang ◽  
Dimitri P. Solomatine

Abstract. Sensitivity Analysis (SA) and Uncertainty Analysis (UA) are important steps for better understanding and evaluation of hydrological models. The aim of this paper is to briefly review main classes of SA methods, and to presents the results of the practical comparative analysis of applying them. Six different global SA methods: Sobol, eFAST, Morris, LH-OAT, RSA and PAWN are tested on three conceptual rainfall-runoff models with varying complexity: (GR4J, Hymod and HBV) applied to the case study of Bagmati basin (Nepal), and also initially tested on the case of Dapoling-Wangjiaba catchment in China. The methods are compared with respect to effectiveness, efficiency and convergence. A practical framework of selecting and using the SA methods is presented. The result shows that, first of all, all the six SA methods are effective. Morris and LH-OAT methods are the most efficient methods in computing SI and ranking. eFAST performs better than Sobol, thus can be seen as its viable alternative for Sobol. PAWN and RSA methods have issues of instability which we think are due to the ways CDFs are built, and using Kolmogorov-Smirnov statistics to compute Sensitivity Indices. All the methods require sufficient number of runs to reach convergence. Difference in efficiency of different methods is an inevitable consequence of the differences in the underlying principles. For SA of hydrological models, it is recommended to apply the presented practical framework assuming the use of several methods, and to explicitly take into account the constraints of effectiveness, efficiency (including convergence), ease of use, as well as availability of software.


2016 ◽  
Author(s):  
Liyang Xu ◽  
Zhenzhou Lu ◽  
Sinan Xiao

Abstract. Analyzing the effects of the inputs on the correlated multivariate output is important to assess risk and make decisions in Hydrological processes. However, the existing methods, such as output decomposition approach and covariance decomposition approach, cannot provide sufficient information of the effects of the inputs on the multivariate output, since these methods only measure the influence of input variables on the magnitudes of variances of the dimensionalities in the multiple output space and ignore the effects on the dimensionality directions of output variances. In this paper, a new kind of sensitivity indices based on vector projection for the multivariate output is proposed. By the projection of the conditional vectors on the unconditional vector in the dimensionless multiple output space, the new sensitivity indices measure the influence of the input variables on the magnitudes of variances and directions of the dimensionalities simultaneously. The mathematical properties of the proposed index are discussed, and its link with the Sobol indices is derived. And Polynomial Chaos Expansion (PCE) is used to estimate the proposed sensitivity indices. The results for two numerical examples and a hydrological model indicate the validity and potential benefits of the vector projection index and the efficiency of estimation approach.


2014 ◽  
Vol 4 (1) ◽  
pp. 23-29
Author(s):  
Constance Hilory Tomberlin

There are a multitude of reasons that a teletinnitus program can be beneficial, not only to the patients, but also within the hospital and audiology department. The ability to use technology for the purpose of tinnitus management allows for improved appointment access for all patients, especially those who live at a distance, has been shown to be more cost effective when the patients travel is otherwise monetarily compensated, and allows for multiple patient's to be seen in the same time slots, allowing for greater access to the clinic for the patients wishing to be seen in-house. There is also the patient's excitement in being part of a new technology-based program. The Gulf Coast Veterans Health Care System (GCVHCS) saw the potential benefits of incorporating a teletinnitus program and began implementation in 2013. There were a few hurdles to work through during the beginning organizational process and the initial execution of the program. Since the establishment of the Teletinnitus program, the GCVHCS has seen an enhancement in patient care, reduction in travel compensation, improvement in clinic utilization, clinic availability, the genuine excitement of the use of a new healthcare media amongst staff and patients, and overall patient satisfaction.


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