... 10, 2018. Assoc. Editor: Chimba Mkandawire.This work is in part a work of the U.S. Government. ASME disclaims all interest in the U.S. Government's contributions. 29 08 2017 09 07 2018 Crash Random Risk Civilian vehicles have more complex occupant restraint systems than...

... relative to propagation of a much larger population that adequately samples the presiding random-function source. A simple classical statistical method, tolerance intervals (TIs), is tested for effectively treating sparse stress–strain curve data. The method is found to perform well on the highly nonlinear...

.... , 2001 , “ Early Fatigue Crack Growth as the Damage Accumulation Process ,” Probab. Eng. Mech. , 16 ( 4 ), pp. 279 – 287 . 10.1016/S0266-8920(01)00020-0 [10] Lardner , R. , 1967 , “ A Theory of Random Fatigue ,” J. Mech. Phys. Solids , 15 ( 3 ), pp. 205 – 221 . 10.1016/0022-5096(67)90033...

.... In addition, the paper shows that the probability of simultaneous presence of critical events is practically insensitive to the distribution of the events durations. These counter-intuitive results provide the powerful opportunity to evaluate the risk of overlapping of random events through the mean duration...

.... 136 – 155 . 10.1002/nme.5211 [39] Zhang , D. , and Lu , Z. , 2004 , “ An Efficient, High-Order Perturbation Approach for Flow in Random Porous Media Via Karhunen–Loéve and Polynomial Expansions ,” J. Comput. Phys. , 194 ( 2 ), pp. 773 – 794 . 10.1016/j.jcp.2003.09.015 [40...

... the prior distribution samples, thus providing quantitative guidance for effective observation and updating. (1) Generate n random samples of x ; (2) Obtain corresponding values of y by evaluating y = f ( x ) , and estimate V ( y ) using all samples...

...Mario Di Paola; Francesco Paolo Pinnola 03 05 2017 03 05 2017 Mechanical Random Risk analysis The fractional calculus, namely, the calculus of integrals and derivatives of real or complex order, has captured considerable popularity and importance in engineering...

... of interval stiffness or interval fractional damping, respectively. Mechanical Probability Random Structural reliability Structures Uncertainty It is clear that combining the results of this section with the previous one, it is possible to express uncertainties in both the fractional order...

..., based on the properties of alpha-stable random variables and processes, the path integral solution is extended to deal with Lévy white noises input with any value of the stability index alpha. It is shown that at the limit when the time increments tend to zero, the Einstein–Smoluchowsky equation...

... received October 16, 2016; published online June 12, 2017. Assoc. Editor: Ioannis Kougioumtzoglou. 22 06 2016 16 10 2016 Probability Random Structures Uncertainty In the last decades, the nonlocal beam theories have known a great interest. This is due to their ability...

... on the excitation frequency and the displacement amplitude. Dynamic responses of the vehicle–track coupled dynamics system induced by the welded joint irregularity and random track irregularity have been performed to illustrate the difference between the Kelvin–Voigt model and the proposed model in the time...

.... Then it can be taken into account as an equivalent viscous damping coefficient, based on the energy losses within a period [ 11 ]. The value of that coefficient has been derived earlier for a SDOF system under wide band random excitation and can be expressed...

... mechanical systems, e.g., the nonlocal or nonviscous constitutive law. In particular, fractional calculus has gained considerable importance in the random vibration analysis of engineering structures provided with viscoelastic damping. In this case, the evaluation of the dynamic response in the frequency...

... unstable when the measurement data are inaccurate through random sensor failures, which is a widespread problem in data-intensive power system control applications. To address this issue, this paper proposes an improved EKF that is resilient against sensor failures. This work focuses on the resilient EKF’s...

...Anthony M. Ferrar This paper presents the ways that sample rate, sample time, and number of test replications can affect the random uncertainty in a measurement. Typical steady timewise experiments seek the average values of measured variables. Even in this case, sample rate and sample time can...

... for public release; distribution is unlimited. 22 6 2015 19 2 2016 19 2 2016 Computational reliability methods Health Probability Random Reliability Uncertainty Robots are used to facilitate automation in several industrial, mechanical, and aerospace applications [ 1...

... to scaling the distance, a normal random error is also added as Distance ODO = 0.99 * Distance GPS − normrnd   ( 0 , 1 ) A flag variable is created in the software that has a value of zero for all the points except at every specified distance (e.g., 500 m), where...

... been recent advances in building mathematical models of structures, which combine nonparametric probabilistic and parametric (probabilistic or nonprobabilistic) models of uncertainty. Here, several strategies for establishing the response of random systems whose uncertainties are described...

...Umberto Alibrandi; C. G. Koh This paper presents a novel procedure based on first-order reliability method (FORM) for structural reliability analysis in the presence of random parameters and interval uncertain parameters. In the proposed formulation, the hybrid problem is reduced to standard...

... [24] Spanos , P. D. , and Lutes , L. D. , 1980 , “ Probability of Response to Evolutionary Process ,” J. Eng. Mech. Div. , 106 ( 2 ), pp.  213 – 224 . [25] Roberts , J. B. , and Spanos , P. D. , 1986 , “ Stochastic Averaging: An Approximate Method of Solving Random Vibration...