A reliability-based data treatment system for actual load history

This paper seeks to establish an integrated and practical data treatment system for actual load history reliability analysis. A convergence–divergence counting procedure is presented to extract all load cycles from a load history of divergence–convergence waves. The lowest number of load history sampling is established on the basis of the damage-based prediction criterion. A parameter estimation formula is proposed for hypothesis testing of the load distribution. The examples of its application for the data treatment of actual load history are given. The proposed data treatment system has been shown to have valid and practical characteristics in analysing reliability results.

[1]  Igor Rychlik.  RAINFLOW CYCLES IN GAUSSIAN LOADS , 1992 .

[2]  M. Nagode,et al.  A general multi-modal probability density function suitable for the rainflow ranges of stationary random processes , 1998 .

[3]  P. H. Wirsching,et al.  Fatigue Under Wide Band Random Stresses Using the Rain-Flow Method , 1977 .

[4]  C. Amzallag,et al.  Standardization of the rainflow counting method for fatigue analysis , 1994 .

[5]  Matija Fajdiga,et al.  Description of statistical dependencies of parameters of random load states (dependency of random load parameters) , 2000 .

[6]  G. Masing,et al.  Eigenspannungen und Verfestigung beim Messing , 1926 .

[7]  Marko Nagode,et al.  Parametric modelling and scatter prediction of rainflow matrices , 2001 .

[8]  R. Tovo.  Cycle distribution and fatigue damage under broad-band random loading , 2002 .

[9]  Nie Hong.  A modified rainflow counting method , 1991 .

[10]  Marko Nagode,et al.  On a new method for prediction of the scatter of loading spectra , 1998 .

[11]  R. J. Anthes,et al.  Modified rainflow counting keeping the load sequence , 1997 .

[12]  Grzegorz Glinka,et al.  Rainflow counting algorithm for very long stress histories , 1987 .

[13]  R. A. Shenoi,et al.  Small sample theory for reliability design , 2002 .

[14]  Roberto Tovo.  A damage-based evaluation of probability density distribution for rain-flow ranges from random processes , 2000 .

[15]  Ji-Ho Song,et al.  An expert system for estimation of fatigue properties of metallic materials , 2002 .

[16]  M. Baker,et al.  On the probability density function of rainflow stress range for stationary Gaussian processes , 1992 .

[17]  An improved method of calculating the peak stress distribution for a broad-band random process , 2000 .

[18]  Michel Olagnon.  Practical computation of statistical properties of rainflow counts , 1994 .

[19]  Igor Rychlik,et al.  NOTE ON CYCLE COUNTS IN IRREGULAR LOADS , 1993 .

[20]  James W. Provan,et al.  Probabilistic fracture mechanics and reliability , 1987 .

[21]  M. Matsuichi,et al.  Fatigue of metals subjected to varying stress , 1968 .

[22]  B. Zuccarello,et al.  On the estimation of the fatigue cycle distribution from spectral density data , 1999 .

[23]  I. Rychlik.  A new definition of the rainflow cycle counting method , 1987 .

[24]  Masayuki Takano,et al.  Simultaneous Measurements of Flow Rates and Particle Concentrations in Heterogeneous Solid-Water Two-Phase Flows by Means of One Venturi , 1995 .

[25]  Darrell F. Socie,et al.  Simple rainflow counting algorithms , 1982 .