scholarly journals Probabilistic and Semi-Probabilistic Analysis of Slender Columns Frequently Used in Structural Engineering

2021 ◽  
Vol 11 (17) ◽  
pp. 8009
Author(s):  
Alfred Strauss ◽  
Michael Hauser ◽  
Benjamin Täubling ◽  
Ana Mandić Ivanković ◽  
Dominik Skokandić ◽  
...  
Keyword(s):  
Structural Engineering ◽  
Linear Models ◽  
Round Robin ◽  
Safety Index ◽  
Linear Modeling ◽  
Resistance Factors ◽  
Non Linear ◽  
The Stability ◽  
Slender Columns

The stability of slender columns is a topic that has been dealt with in research and practice for many years. The importance of this topic also increases with the possibility of using non-linear modeling approaches to determine the stability and with the increasingly complex safety formats. In order to show the complexity and the variability associated with the non-linear models, two previous contributions discussed and compared (a) the results of the Round Robin Non-Linear Modeling, and (b) the existing international associated standard specifications and safety concepts with respect to experimental results. The aim herein is to determine the reliability level (safety index) on the basis of these investigations and findings and to examine the existing safety formats of classical and extended probabilistic analyses and to derive any necessary adjustments. In addition, the method of the safety format Estimation of Coefficient of Variance of resistance (ECOV) is used for the determination of the global safety resistance factors based on the non-linear analyses’ findings of the Round Robin modeling partners.

Intelligent Numerical Manipulation of Micrometer-Scale Emulsions Using Polymer Confinement

2013 ◽  
Vol 813 ◽  
pp. 431-434 ◽  
Author(s):  
Li Guo Zhang ◽  
Le Xun Xue ◽  
Pei Yuan He ◽  
Yuan Ming Qi ◽  
Yu Min Lu
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Material Science ◽  
Linear Models ◽  
Network Modeling ◽  
Neural Network Modeling ◽  
Linear Modeling ◽  
Artificial Neural Network Modeling ◽  
Non Linear ◽  
Micrometer Scale

The manipulation of emulsions at micrometer-scale is a challenging topic for industrial application, especially for monodisperse microemulsions production. The development of material science and afterwards the creation of polymer confinement proposed efficient devices for micrometer scale emulsions fabrication. In this work, the flow regime of emulsion generation was studied to depict numerical manipulation of micrometer-scale emulsions through biomicrofluidic technology. At first, correlation analysis between experiment conditions and results were conducted, then different linear modeling and non-linear modeling, including Artificial Neural Network Modeling (NNM) technology, were performed to characterize the emulsion variation. Both models can well manipulate emulsion variation. Compared with linear modeling, non-linear models ameliorate the performance on the manipulation of micrometer-scale emulsion.

scholarly journals Determination of Body Weight-Age Relationship by Non-Linear Models in Japanese Quail

2012 ◽  
Vol 11 (3) ◽  
pp. 314-317 ◽  
Author(s):  
Eser Kemal Gurc ◽  
Ozden Cobanoglu ◽  
Serdar Genc
Keyword(s):  
Body Weight ◽  
Japanese Quail ◽  
Linear Models ◽  
Non Linear

Determination of Material Parameters of Concrete for Non-Linear Modeling

2013 ◽  
Vol 651 ◽  
pp. 321-324 ◽  
Author(s):  
Thomas Zimmermann ◽  
Alfred Strauss ◽  
Katharina Haider
Keyword(s):  
Stochastic Models ◽  
Fracture Process ◽  
Basic Material ◽  
Linear Modeling ◽  
Element Analysis ◽  
Material Parameters ◽  
Linear Finite Element ◽  
Numerical Assessment ◽  
Non Linear

Within this paper an experimental investigation on basic material parameters as well as fracture mechanical properties for different concrete types is presented. In total four different concrete types were investigated. The results of this investigation serve as a basis for further numerical assessment with respect to (a) define suitable stochastic models for the material parameters and (b) to carry out non-linear finite element analysis incorporating the fracture process as well as crack propagation.

The practical use of variation principles in the determination of the stability of non linear systems

1961 ◽  
Vol 2 (2) ◽  
pp. 153-188 ◽  
Author(s):  
J. N. Lyness ◽  
J. M. Blatt
Keyword(s):  
Linear Systems ◽  
Initial Conditions ◽  
Mathieu Equation ◽  
Iteration Procedure ◽  
Variation Principle ◽  
Non Linear ◽  
Non Linear Systems ◽  
The Stability ◽  
Special Case

AbstractWe are interested in the motion of non linear systems. In this paper we use a variation principle and an iteration procedure in order to treat the stability of free oscillations against small disturbances of the initial conditions. It is found that approximations to the low lying stability lines can be obtained using the Rayleigh-Ritz variation principle and that these approximations can be consistently improved using an iteration procedure. These approximations are compared with the tabulated values in the special case of the Mathieu Equation. The results are in general a considerable improvement on those obtained using the usual Perturbation Theory, and have a much wider range of validity.

scholarly journals Control of a hydraulic system by means of a fuzzy approach

2013 ◽  
Vol 3 (2) ◽  
pp. 121-131 ◽  
Author(s):  
Mohamed Ksantini ◽  
Ameni Ellouze ◽  
Francois Delmotte
Keyword(s):  
Hydraulic System ◽  
Closed Loop ◽  
Linear Models ◽  
Linear Functions ◽  
Control Law ◽  
Lyapunov Approach ◽  
Fuzzy Models ◽  
Non Linear ◽  
The Stability ◽  
Takagi Sugeno

Non linear models can be represented conveniently by Takagi-Sugeno fuzzy models when nonlinearities are bounded. This approach uses a collection of linear models which are interpolated by non linear functions. Then the global control law is the interpolation by the same functions of each feedback associated to each linear model. A Lyapunov approach enables to compute these feedback gains. The number of linear models depends directly on the number of nonlinearities the system has. The more models there are, the more difficult it is to guarantee the stability of the closed loop. This paper proposes a method to reduce the number of linear models by assuming a number of nonlinearities considered as uncertainties and to guarantee the global exponential stability of the system. This method is applied on a hydraulic system.

G Optimal Design in Non linear Models to Increase Silicon Oxide Purity Levels and Electrical Conductivity

2018 ◽  
pp. 150-155
Author(s):  
Muklas Rivai
Keyword(s):  
Electrical Conductivity ◽  
Optimal Design ◽  
Linear Models ◽  
Silicon Oxide ◽  
Information Matrix ◽  
Relevant Information ◽  
Non Linear

Optimal design is a design which required in determining the points of variable factors that would be attempted to optimize the relevant information so that fulfilled the desired criteria. The optimal fulfillment criteria based on the information matrix of the selected model.

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