![]() ![]() Olsson, A., Sandberg, G., Dahlblom, O.: On Latin hypercube sampling for structural reliability analysis. Myers, R.H., Montgomery, D.C.: Response Surface Methodology, 2nd edn. Society of Automotive Engineers, Warrandale (1968) Morrow, J.: Fatigue Design Handbook Advances in Engineering. Montgomery, D.C.: Design and Analysis of Experiments. McKay, M.D., Conover, W.J., Beckman, R.J.: A comparison of three methods for selecting values of input variables in the analysis of output from a computer code. Vieweg & Teubner Verlag, Springer Fachmedien Wiesbaden GmbH, Wiesbaden (2011) Heißing, B., Ersoy, M.: Chassis Handbook, 1st edn. 232(10), 1838–1850 (2018b)īoardman, B.: Crack initiation fatigue-data, analysis, trends and estimation. 94(5–8), 2125–2136 (2018a)Ītig, A., Ben Sghaier, R., Seddik, R., Fathallah, R.: A simple analytical bending stress model of parabolic leaf spring. 33, 575–594 (2010)Ītig, A., Sghaier, R.B., Seddik, R., Fathallah, R.: Probabilistic methodology for predicting the dispersion of residual stresses and Almen intensity considering shot peening process uncertainties. īen Sghaier, R., Bouraoui, C., Fathallah, R., Degallaix, G.: Probabilistic prediction of high cycle fatigue reliability of high strength steel Butt-welded joints. The effects of probabilistic variables on the fatigue life results have been studied in order to enhance the fatigue behavior of parabolic leaf spring.Ītig, A., Ben Sghaier, R., Seddik, R., Fathallah, R.: Reliability-based high cycle fatigue design approach of parabolic leaf spring. The number of cycles to failure distribution has been presented and characterized. The dispersion of geometrical dimensions, materials properties and cyclic loading parameters have been taken into consideration. The proposed approach has been applied on a finite element and a response surface model of parabolic leaf spring. The strain based approach and Morrow fatigue criterion have been used to compute the number of cycles to failure. In this work, a stochastic approach based on Latin hypercube simulation method has been performed to predict the fatigue life of parabolic leaf spring. Nevertheless, the estimation of fatigue life is usually affected by many inherent uncertainties which must be considered in a fatigue design approach. Therefore, fatigue life assessment and prediction represent an important aspect during parabolic leaf spring design stage. No commercial reproduction, distribution, display or performance rights in this work are provided.Fatigue phenomenon is one of the main causes of parabolic leaf spring failure. Assad, "Hypercube Simulation of Electric Fish Potentials," Proceedings of the Fifth Distributed Memory Computing Conference, 1990., 1990, pp. We present some early results from the simulation. We have used an NCUBE hypercube to calculate the matrix elements and solve these equations, once for each relative position of the fish and the test object. The computational problem is the solution of a full set of simultaneous linear equations, where there is an equation for each node of the boundary mesh, typically about 100 - 200. We have created an unstructured triangular mesh covering the two-dimensional manifold of the fish skin, using the distributed Irregular Mesh Environment (DIME), then used the Boundary Element Method to solve for the potential derivative at the fish skin. Mathematically, the problem is to solve a potential equation in the domain exterior to the fish with Cauchy boundary conditions, in the presence of an induced dipole arising from the object, and extract the potential difference across the fish skin. The fish senses this difference from the usual current distribution, and infers the presence and location of the object. If an object is nearby which has different electrical conductivity from the surrounding water, the current distribution is disturbed on the skin of the fish. This fish senses its environment by producing a sinusoidal voltage difference between its body and tail sections, causing anĮlectric field and a current distribution in the surrounding We present a simulation of the electrosensory input of the weakly electric fish Apteronotus leptorhynchus. ![]()
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