In the process of designing a product or a physical system, Reliability engineering is an important factor to be considered. Also, as an essential step in Reliability evaluation during the design phase, it is necessary to allocate Reliability to subsystems, in such a way that full system Reliability is satisfied. Performing this process, which is called Reliability allocation, creates a more reliable and competitive system, which, at the same time, is compatible with our limitations. The consequences of considering this phase in designing a product are improved design and manufacturing methods, and, as a result, it is possible to gain cheap and reliable products compatible with customer demand. Many parameters that exist in the process of Reliability allocation have been generated based on research investigations. These techniques have different attitudes towards performing an allocation process. By analyzing these approaches, the researchers discovered remarkable disorders. These disorders are consequences of weaknesses, some of which all techniques share. One important aspect not considered in these techniques, and considered to be a great weakness, is the importance of subsystems, regarding their place in system configuration and their contribution to full system Reliability. In this study, according to the importance and e effectiveness of Reliability importance Measures, we have utilized them as an approach to suggest a new and effective technique. In this process, we use the technique of Reliability importance Measures to propose a new way to overcome this weakness, and, in two examples, will show the effects of using these Measures in the process of Reliability allocation. Based on a comparison between the new technique and the two most applicable techniques in literature; ARINC and MAXIMAL ENTROPY, using one hypothetical and one real example, we have shown the preferable results of the new technique.

In this technical note, a methodology is introduced for Reliability calculation of consolidation settlement based on cone penetration test (CPT) data. The present study considers inherent soil variability which influences consolidation settlements results. To proceed Reliability analysis, the measured data of a sample corrected cone tip resistance (qt) is detrended using a quadratic trend and the residuals are assumed to be log normally distributed random field. Realizations of qt is generated by using spatial variability of residuals including standard deviation and the scale of fluctuation. The quadratic trend and the generated residuals are then combined to correlate shear and bulk modulus as input consolidation properties for coupled analysis and subsequently consolidation settlement was calculated by using finite difference method adopted in Monte Carlo simulations. The results of Reliability analysis are presented describing the range of possible settlements by considering characteristics of uncertainties involved at the particular site. Number of realizations rendering settlements smaller than the allowable settlement must be such that guarantee proper performance or acceptable Reliability index.

Background and Aim: Few studies have assessed the Reliability of postural balance Measures during dynamic balance performance that introduce additional challenging to postural control system. In addition sometimes in the static conditions some deficiencies of the postural control system may not be revealed obviously therefore the aim of this study was to assess the Reliability of postural control parameters during functional performance on force plate in healthy subjects.Materials and Methods: Ten healthy male subjects (mean age: 25.4 years, weight: 68.2 kg height: 176.9cm) participated in this study. None of the subjects were involved in sport activities. Every subject performed three 15seconds trials of eyes open single leg stance on a force plate during dynamic balance task. Participants grasped object with hand at their waist level and release it at above shoulder level. The reproducibility of the center of pressure (COP) deviations (average speed & length of path) was assessed. All participants were tested on 2 sessions with an inter-measurement interval of 7 days. COP data was collected for each trial. The intraclass correlation coefficient (ICC) was used as parameter of intra-session and inter-session (Test-Retest) Reliability.Results: The ICCs for intra-session Reliability of average speed and length of COP path were 0.89 and 0.91 respectively. The ICCs for inter-session Reliability were 0.95 and 0.96 respectively.Conclusion: The study showed high and very high Reliability for center of pressure Measures during dynamic balance task. Therefore this dynamic performance can be used as a balance pattern in postural control assessment.. These can be used as reliable parameters in dynamic postural control assessment due to high Reliability of average speed and length of COP path.