Application of simulation techniques in teaching reliability concepts

Anagnos, Thalia; Марек, Павел

doi:10.1109/fie.1996.573108

Cited by 7 publications

(3 citation statements)

References 1 publication

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“…This approach was employ because, there is need for a fully probabilistic approach to the safety assessment of structural timber decks, due to many factors, such as climate, material composition and degradation of structural timber, occurrence of natural disasters and impacts of man-made technology which control the existence of human beings and the quality of the surrounding environment of bridge decks [13]. Many of these quantities cannot be represented adequately by deterministic values or relationships, thus, the variability in these quantities need be included in models of both nature and the built environment [13,14]. With adequate Probability Density Functions (PDF) to represent the possible variability of each individual random variable, the combined effect of these variables on the performance function of a bridge can be used to study the safety or possibility inherent with using specific ranges of stringers spacing of Nigerian timbers for bridge decks.…”

Section: Methodsmentioning

confidence: 99%

Reliability Assessment of Stringers Spacings in Bridges as Function of Timber Properties

2016

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This presentation accounts for established functions of stringer spacing of major Nigerian woods when used as bridge decks. It entails stochastic evaluation of bridge wood decks with absolute regards to the spacing of supporting stringers. A timber bridge deck is modelled on timber stringers in accordance with current specifications as outline in AASHTO LRFD (2010), to represent real life experiment in order to depict the structural behaviour of Nigerian timbers when used for bridge decks. This model is then subjected to some degree of entropy using Advance Second Moment Reliability Assessment (ASMRA) method, which is subsequently analysed using JAVA library with the help of Flanagan polynomial. The concept of ASMRA with Flanagan polynomial returns optimum output values for any input array of data along the input normal distribution curve. Taking Lophira alata (EKKI), Afzelia bipindensis (APA),Chlorophora exceisa (IROKO) and Mitragyna ciliate (ABURA) to represent N1, N2, N3, and N4 classes of Nigerian timber suitable for bridge decks, convincingly, it was established that, stringer spacing, strength classes, timber thicknesses and width are some of the major factors among others influencing the structural behaviour of Nigerian timber species used for bridge decks. These data are treated as random variables to generate relative optimum values which, are used to predict the relationship between stringer spacing as a dependent variable on other variables using Analysis of Variance (ANOVA) and multiple Regression line analysis. For the considered timber species, it was observed that large percentages, (R 2 ≌ 1 that is 100% for EKKI, APA, IROKO and ABURA of the variation in the dependent variable (stringer spacing) is explained by the independent variables (strength classes, timber thicknesses, timber width, plank deck unit weight, unit weight of surfacing material, lane load, thickness of surfacing material and reliability indices) which are all good fit. Also all the predicted regression lines are reliable and statistically significant as the significance F, (3.59709E-05 for EKKI, 5.58768E-05 for APA, 3.59709E-05 for IROKO and 8.55563E-05 for ABURA) are all less than 0.05. Thus, these established relationships will help in future forecast of stringer spacing for bridge deck design and analysis within acceptable structural reliability indices which are statistically significant (and are all within acceptable values ≤0.05).

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Section: Methodsmentioning

confidence: 99%

Reliability Assessment of Stringers Spacings in Bridges as Function of Timber Properties

2016

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“…This is because, there is need for a fully probabilistic approach to the safety assessment of structural timber decks, due tomany factors, such as climate, material composition and degradation of structural timber, occurrence of natural disasters and impacts of man-made technology control the existence of human beings and the quality of the surrounding environment of bridge decks [8]. Many of these quantities cannot be represented adequately by deterministic values or relationships, thus, the variability in these quantities need be included in models of both nature and the built environment [8,9]. With adequate Probability Density Functions (PDF) to represent the possible variability of each individual random variable, the combined effect of these variables on the performance function of a bridge can be used to study the safety or possibility of using Nigerian timbers for bridge decks.…”

Section: Studymentioning

confidence: 99%

Stochastic Assessment of Nigerian Wood for Bridge Decks

Owoeye

Abejide

2015

Nig. J. Tech.

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“…Aiming at analysis and calculation of reliability, mechanical structure analysis generally use the theory of probability and statistics, that is, regarding the impact on the reliability of mechanical factors as random variables for analysis, resulting in the interference theory [2]. Basing on the interference theory, there are some analysis methods, including order moment method and Monte-Carlo method [3,5] etc. During the process of practical applications in engineering, the order moment method is affected by the nonlinear degree of failure surface, and sometimes leads errors or poor applicability.…”

Section: Introductionmentioning

confidence: 99%

The Integrated Application Based on Order Moment Method and Improved Monte-Carlo Method in Mechanical Reliability Simulation

Yin

Zhang

2010

AMR

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Based on order moment method and improved Monte-Carlo method, this paper mainly studies the importance sampling method which combines with the first-order second-moment method, including how to get the sampling barycenter, how to get the importance distributing function and how to control sampling precision. Finally, the method studied in this paper is applied in actual engineering example and the verification result shows that the method is correct and effective and has higher engineering practical value.

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Application of simulation techniques in teaching reliability concepts

Cited by 7 publications

References 1 publication

Reliability Assessment of Stringers Spacings in Bridges as Function of Timber Properties

Reliability Assessment of Stringers Spacings in Bridges as Function of Timber Properties

Stochastic Assessment of Nigerian Wood for Bridge Decks

The Integrated Application Based on Order Moment Method and Improved Monte-Carlo Method in Mechanical Reliability Simulation

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