Development of a probabilistic mechanistic model for reliability assessment of gas cylinders in compressed natural gas vehicles

Chamberlain, Samuel R.; Chookah, Mohamed; Modarres, Mohammad

doi:10.1243/1748006xjrr231

Cited by 5 publications

(3 citation statements)

References 3 publications

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“…The strict technical standards for NGVs have been set up in many countries. These technical standards cover many areas, from the design of the filling stations, the production of gas storage cylinders [31], and the manufacturing of modified vehicle parts, the installation and commissioning of NGVs. Strict security precautions should be considered in the design [32].…”

Section: Natural Gas Enginesmentioning

confidence: 99%

A Review of Development of Natural Gas Engines

Liu¹,

Zhang²,

Liu³

2023

IJAMM

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Review A Review of Development of Natural Gas Engines Lidong Liu 1, Mengli Zhang 1, and Zhengbai Liu 2, * 1 College of Automobile and Traffic Engineering, Liaoning University of Technology, Jinzhou 121001, China 2 School of Innovation and Entrepreneurship, Southern University of Science and Technology, Shenzhen 518055, China * Correspondence: liuzb3@sustech.edu.cn Received: 4 January 2023 Accepted: 22 February 2023 Published: 9 March 2023 Abstract: Natural gas has been successfully applied to the operation of internal combustion engines (ICEs) in various applications including automotive vehicles and generator sets, and is becoming a promising alternative fuel in ICEs due to its advantages such as the excellent knock resistance, stable combustion process, and low pollutant emissions. The operation cost of vehicles using natural gas engines (NGEs) is remarkably reduced, as the price of natural gas is over 50% lower than that of gasoline or diesel fuel. This review describes three stages of the NGEs development followed by discussions of natural gas resources, mechanisms underlying structural design and combustion process of NGEs, as well as different technologies applied in NGEs. The scientific guidance for research and development of NGEs is also provided in this review.

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Section: Natural Gas Enginesmentioning

confidence: 99%

A Review of Development of Natural Gas Engines

Liu¹,

Zhang²,

Liu³

2023

IJAMM

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“…Randomness in loads, geometries and material properties requires that methods based on probability and statistic theory in a number of situations have to be used. [1][2][3] Hence, tremendous researches have been performed in reliability analysis, design and control of mechanical systems in the last few decades. In these researches, the statistical moment, probability density function (PDF) and cumulative distribution function (CDF) are usually used to characterize the probabilistic feature of system responses.…”

Section: Introductionmentioning

confidence: 99%

A probability estimation method for reliability analysis using mapped Gegenbauer polynomials

Huang

Zhang

2013

Proceedings of the Institution of Mechanical Engineers, Part O:

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Based on the theory of Gegenbauer polynomial approximation, this article presents a probability estimation method for reliability analysis of mechanical systems. Analytical evaluation or statistical analysis is used to compute statistical moments. Then, the well-known Gegenbauer series approach is applied to approximate the probability distribution functions and cumulative distribution functions. The proposed method is completely distribution-free due to the fact that no classical theoretical distributions are assumed in the whole process, and the approximate analytic description provides a universal form of probability distribution function and cumulative distribution function. Five numerical examples involving mathematic functions and mechanical engineering problems are applied to illustrate the application of the proposed method. The results show that the probability distribution functions and cumulative distribution functions of random variables and responses can be accurately and efficiently derived from Gegenbauer polynomial approximation method with high-order statistical moments.

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“…For example, initial defect size and density estimates are important inputs in probabilistic physics-of-failure-based reliability assessment approaches. 1,2 In the remainder of this section we first provide a discussion of detection uncertainties and measurement errors in the context of nondestructive testing and evaluation; then a literature review is presented, highlighting the existing state of knowledge in this field; followed by the research objectives of this article that seek to improve upon existing techniques.…”

Section: Introductionmentioning

confidence: 99%

A probabilistic approach for estimating defect size and density considering detection uncertainties and measurement errors

Chatterjee

Modarres

2012

Proceedings of the Institution of Mechanical Engineers, Part O:

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Every structural component has some form and amount of hidden defects, however small it might be. These defects should be detected and characterized in order to ensure reliability of safety-critical structures. Test equipment is often used to inspect and gather data from probable defect sites in structural components during in-service inspections for maintenance purposes. This data is then analyzed and processed to measure the defect size and density. In-service inspection data may be highly uncertain in nature owing to detection uncertainties and measurement errors typically associated with the testing and evaluation process. These uncertainties and errors, if not properly accounted for, can result in defect size and density estimates not representative of the true state of degradations. In this article we first provide a description of the detection uncertainties and measurement errors in the context of nondestructive testing and evaluation. We then propose a Bayesian approach that updates prior knowledge of defect size and density with uncertain nondestructive evaluation data, accounting for detection uncertainties, measurement errors, and other associated uncertainties, to infer the posterior estimates of true size and number of defects. An example application of the proposed approach is then presented for estimating true defect size and density in nuclear reactor piping welds using ultrasonic evaluation data. The Bayesian approach presented in this article fills a critical gap in health management and reliability prognosis of structures, thereby enhancing the overall structural safety and operability.

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Development of a probabilistic mechanistic model for reliability assessment of gas cylinders in compressed natural gas vehicles

Cited by 5 publications

References 3 publications

A Review of Development of Natural Gas Engines

A Review of Development of Natural Gas Engines

A probability estimation method for reliability analysis using mapped Gegenbauer polynomials

A probabilistic approach for estimating defect size and density considering detection uncertainties and measurement errors

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