in this article the general non-symmetric parametric form of the incremental secant stiffness matrix for nonlinear analysis of solids have been investigated to present a semi analytical sensitivity analysis approach for geometric nonlinear shape optimization. to approach this aim the analytical formulas of secant stiffness matrix are presented. the models were validated and used to perform inve...

examining the impacts of data modification is considered as sensitivity analysis. a lot of studies have considered the data modification of inputs and outputs in dea. the issues which has not heretofore been considered in dea sensitivity analysis is modification in the number of inputs and (or) outputs and determining the impacts of this modification in the status of efficiency of dmus. this pa...

This paper presents recent developments in response sensitivity, probabilistic response and reliability analyses of structural and geotechnical systems. These developments are integrated within general-purpose software frameworks for non-linear finite element response analysis and provide the structural engineers with analytical tools to propagate uncertainties through advanced large-scale non-...

Sensitivity properties describe how changes to the input of a program affect output, typically by upper bounding distance between outputs two runs monotone function corresponding inputs. When programs are probabilistic, is distributions. The Kantorovich lifting provides general way defining distributions underlying sample space; choosing an appropriate on base space, one can recover other usual...

today analyzing seismicity hazard urban different areas is critical and inevitable due to develop and to expand cities in seismically active zones and naturally, the hazard because the earthquake is more in the bigger cities and the necessity to consider these hazards would be increased. expanding the cities in iran seismically active zones caused to be necessary to analyze earthquake hazard. b...

Global sensitivity analysis techniques are better suited for analyzing input-output relationships over the full range of parameter variations and model outcomes, as opposed to local sensitivity analysis carried out around a reference point. This article describes three such techniques: (1) stepwise rank regression analysis for building input-output models to identify key contributors to output ...

This work presents probabilistic methods for testability analysis at RTL and their use to evaluate the sensitivity of a digital circuit to Single Event Upsets (SEUs). A new probabilistic testability metric is proposed, in order to evaluate if the possible changes caused by SEUs are ignored or propagated by the dynamic behavior of the circuit. The new metric, event detectability, is defined base...

Development of probabilistic sensitivities is frequently considered an essential component of a probabilistic analysis and often critical towards understanding the physical mechanisms underlying failure and modifying the design to mitigate and manage risk. One useful sensitivity is the partial derivative of the probability-of-failure and/or the system response with respect to the parameters of ...

As a new formulation in structural analysis, Integrated Force Method has been successfully applied to many structures for civil, mechanical, and aerospace engineering due to the accurate estimate of forces in computation. Right now, it is being further extended to the probabilistic domain. For the assessment of uncertainty effect in system optimization and identification, the probabilistic sens...