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International Journal of Reliability and Safety (3 papers in press)
Local stress analysis of the lattice boom considering parametric uncertainty by Li Xiaoling, Cheng Kai, Wang Mingwei, Zhao Erfei Abstract: The lattice boom of the crane consists of slender tubes and its stability is of paramount importance. At present, most studies about stability of the lattice boom are based on certain parameters. Considering the uncertainty of the design parameters in actual design and production, the local stress of the lattice boom should be analysed with uncertainty. We propose a response surface method based on D-optimal design to simulate the relationship between each parameter and the local stress of the chord. Based on the obtained response surface function, the Monte Carlo method is used to analyse the reliability of the lattice boom. The analysis results show that the uncertainty of the design parameters has a great influence on the local stress of the lattice boom. The initial imperfection factor has the greatest influence, and the interaction between the parameters is relatively small except the initial imperfection factor. The response surface method based on D-optimal design can simulate the complex model function relationship and simplify the complex model, which is highly efficient. So, it has broad application prospects in large-scale complex models. Keywords: lattice boom; D-optimal design; initial imperfection factor; response surface; local stress; uncertainty analysis.
Reliability of N-version programming software with testing effort by Ritu Gupta, Madhu Jain Abstract: N-version programming (NVP) based software has become popular owing to its tolerance of design faults. In the present paper, we propose a software reliability growth model (SRGM) for NVP based software systems, along with detection and removal efficiency of the faults. When a software fault is detected during testing and debugging, debugging activities are executed to remove the fault. In this investigation, the influence of testing effort on the cost of the software development during the testing phase is explored. The maintenance cost analysis is presented to determine the optimal testing time under cost and cost-reliability constraints. A numerical illustration is facilitated to perform a sensitivity analysis for the reliability indices of a 3-VP system. We employ the fuzzy interference system to use the neuro-fuzzy technique, which helps to examine the SRGM computationally by approximating the system parameters. Furthermore, comparative discussion on analytical results and approximate results is presented with the help of a supervised learning process. Keywords: N-version programming; fault tolerance; software reliability; testing effort; optimal testing time; neuro-fuzzy technique.
Reliability analysis of precast prestressed hollow core slabs by Rekha Balakrishnan, Ravindra R Abstract: The precast concrete elements encompass uncertainty, owing to randomness of the applied loads, concrete characteristics and dimensional inaccuracies. The proposed work focuses on reliability analysis of precast prestressed hollow core (PHC) slabs in terms of statistical properties of the contributing parameters using Monte Carlo simulation. The random variables relating to geometrical dimensions of PHC slabs, such as effective depth (dp) and web-width (bw) for different grades of concrete (fc), are considered for analysis. The numerical models on ANSYS APDL release 18.1 and Concise Beam ver.4.7 are validated with the experimental results with respect to failure load and deflection. The bending moments corresponding to failure loads under single line loading (LL) at mid span, two line loading (TLL) and uniformly distributed loading (UDL) cases were evaluated by modelling using Concise software. The reliability analysis was implemented by developing a program in MATLAB R2015a software. It was observed that there is consistent level of reliability in the design methodology adopted in ACI-318. Keywords: hollow core slabs; load carrying capacity; numerical Analysis; reliability index; probability of failure; reliability analysis.