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Journal articles on the topic 'Reliability based design'

Author: Grafiati
Published: 4 June 2021
Last updated: 20 February 2023

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1

Augusti, Giuliano. "Reliability-based design." Structural Safety 13, no. 1-2 (December 1993): 137–38. http://dx.doi.org/10.1016/0167-4730(93)90053-4.

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2

Maes, M. A., K. C. Gulati, D. L. McKenna, P. R. Brand, D. B. Lewis, and R. C. Johnson. "Reliability-Based Casing Design." Journal of Energy Resources Technology 117, no. 2 (June 1, 1995): 93–100. http://dx.doi.org/10.1115/1.2835336.

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The present paper describes the development of reliability-based design criteria for oil and/or gas well casing/tubing. The approach is based on the fundamental principles of limit state design. Limit states for tubulars are discussed and specific techniques for the stochastic modeling of loading and resistance variables are described. Zonation methods and calibration techniques are developed which are geared specifically to the characteristic tubular design for both hydrocarbon drilling and production applications. The application of quantitative risk analysis to the development of risk-consistent design criteria is shown to be a major and necessary step forward in achieving more economic tubular design.
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3

Booker, Andrew J., Martin Meckesheimer, and Tony Torng. "Reliability Based Design Optimization Using Design Explorer." Optimization and Engineering 5, no. 2 (June 2004): 179–205. http://dx.doi.org/10.1023/b:opte.0000033374.31878.15.

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4

Fenton, Gordon A., and Nancy Sutherland. "Reliability-Based Transmission Line Design." IEEE Transactions on Power Delivery 26, no. 2 (April 2011): 596–606. http://dx.doi.org/10.1109/tpwrd.2009.2036625.

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5

Azarm, Shapour, and Zissimos P. Mourelatos. "Robust and Reliability-Based Design." Journal of Mechanical Design 128, no. 4 (July 1, 2006): 829–31. http://dx.doi.org/10.1115/1.2205877.

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6

Andreasen, Jens H. "Reliability-based design of ceramics." Materials & Design 15, no. 1 (January 1994): 3–13. http://dx.doi.org/10.1016/0261-3069(94)90055-8.

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7

Wen, Y. K. "Reliability and performance-based design." Structural Safety 23, no. 4 (October 2001): 407–28. http://dx.doi.org/10.1016/s0167-4730(02)00011-5.

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8

Ramu, Palaniappan, Xueyong Qu, Byeng Dong Youn, Raphael T. Haftka, and Kyung K. Choi. "Inverse reliability measures and reliability-based design optimisation." International Journal of Reliability and Safety 1, no. 1/2 (2006): 187. http://dx.doi.org/10.1504/ijrs.2006.010697.

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9

Zhao, Weitao, Xueyan Shi, and Kai Tang. "Reliability-based design optimization using reliability mapping functions." Structural Engineering and Mechanics 62, no. 2 (April 25, 2017): 125–38. http://dx.doi.org/10.12989/sem.2017.62.2.125.

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10

MacCollum, David. "Design-Based Safety." Journal of System Safety 51, no. 1 (January 1, 2015): 14–16. http://dx.doi.org/10.56094/jss.v51i1.167.

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As both business enterprise and governmental activities become automated, reliability will be the measure of performance. The term “reliability” establishes an actual value of absolute dependable failure-free performance from all hazardous conditions or circumstances during a specific time period or cycles of operation. Reliability ensures for the reliable and safe design of products, facilities and systems of operation, production, construction, resource extraction, transportation and storage. To achieve reliability, design becomes the “Holy Grail of Safety.” The primary hindrance to achieving reliable safe performance is the intervention of human input. A choice of developing a reliable machine or system depends on either eliminating hazards that are activated by people or eliminating people with a completely autonomous system.
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11

Chen, Zhen Zhong, Hao Bo Qiu, Hong Yan Hao, and Hua Di Xiong. "A Reliability Index Based Decoupling Method for Reliability-Based Design Optimization." Advanced Materials Research 544 (June 2012): 223–28. http://dx.doi.org/10.4028/www.scientific.net/amr.544.223.

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Reliability-based design optimization (RBDO) evaluates variation of output induced by uncertainties of design variables and results in an optimal design while satisfying the reliability requirements. However, its use in practical applications is hindered by the huge computational cost during the evaluation of structure reliability. In this paper, the reliability index based decoupling method is developed to improve the efficiency of probabilistic optimization. The reliability index is used to calculate the shifting vector in the decoupling process, due to its efficiency in evaluating violated probabilistic constraints. The computation capability of the proposed method is demonstrated using two examples, which are widely used to test RBDO methods. The comparison results show that the proposed method has the same accuracy as the existing methods, and it is also very efficient.
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12

White, Gregory J., and Bilal M. Ayyub. "Reliability-Based Design Format for Marine Structures." Journal of Ship Research 31, no. 01 (March 1, 1987): 60–69. http://dx.doi.org/10.5957/jsr.1987.31.1.60.

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Recently there has been increased effort by classification societies and design authorities to bring reliability analysis into the design process. Typically these efforts involve using some reliability analysis method to calculate "partial safety factors" for design equations. The mean-value first-order second-moment method (MVFOSM), the advanced second-moment method (ASM), and an "exact" method have been used, or are being proposed for use, in the design of marine structures. In some recent work it has been shown that design formats based on the first two methods may result in engineering designs of different reliability levels than the ones specified in developing the design formats. These three methods are evaluated and a "reliability-conditioned (RC) method" is proposed in this paper. The proposed method overcomes the shortcomings of the MVFOSM and ASM methods and extends the concepts of the "exact" method in a more useful form to handle general types of problems. The RC method is believed to result in partial safety factors which give engineering designs of reliability levels equal to the specified ones.
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13

Zhang, Y., and Q. Liu. "Reliability-based design of automobile components." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 216, no. 6 (June 1, 2002): 455–71. http://dx.doi.org/10.1243/09544070260137390.

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Techniques from the perturbation method, the second moment and reliability-based design theory are employed to present a practical and effective method for the reliability-based design of automobile components. The theoretical formulae of reliability-based design of automobile components. are obtained. The reliability-based design methods are employed to develop the reliability design of automobile axles and springs. The corresponding program can be used to obtain the reliability- based design parameters of automobile components accurately and quickly.
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14

Frangopol, Dan M. "Sensitivity of Reliability‐Based Optimum Design." Journal of Structural Engineering 111, no. 8 (August 1985): 1703–21. http://dx.doi.org/10.1061/(asce)0733-9445(1985)111:8(1703).

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15

Grouni, Hid. "Reliability based design in civil engineering." Canadian Journal of Civil Engineering 15, no. 1 (February 1, 1988): 141–42. http://dx.doi.org/10.1139/l88-017.

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16

Hardin, R. A., K. K. Choi, N. J. Gaul, and C. Beckermann. "Reliability based casting process design optimisation." International Journal of Cast Metals Research 28, no. 3 (December 12, 2014): 181–92. http://dx.doi.org/10.1179/1743133614y.0000000142.

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17

Nikolaidis, Efstratios. "Decision-Based Approach for Reliability Design." Journal of Mechanical Design 129, no. 5 (May 3, 2006): 466–75. http://dx.doi.org/10.1115/1.2712213.

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We propose a decision-based approach for reliability design when there is insufficient information for constructing probabilistic models. The approach enables a designer to perform reliability-cost trade-offs and to assess the importance of variability and epistemic uncertainty. A method for decision under epistemic uncertainty is first presented and justified by presenting axioms on a decision maker’s (DM’s) preferences and by assuming that the DM’s goal is to find the most immune act (in terms of having undesirable consequences) to deviations of the state of the world from an expected state. Thus, the philosophy of the method is similar to that of robust reliability (Ben Haim, Y., 1996, Robust Reliability in the Mechanical Sciences, Springer-Verlag, Berlin). A new formulation of reliability design problems is proposed based on the above decision method and is compared to two reliability-based design optimization formulations that minimize cost given a maximum acceptable failure probability or maximize expected utility. The method is demonstrated on a decision where a designer has to choose between two materials for a structure.
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18

Leemis, Lawrence. "Reliability-Based Design in Civil Engineering." Technometrics 31, no. 1 (February 1989): 126. http://dx.doi.org/10.1080/00401706.1989.10488496.

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19

Wen, Y. K. "Reliability-based design under multiple loads." Structural Safety 13, no. 1-2 (December 1993): 3–19. http://dx.doi.org/10.1016/0167-4730(93)90044-2.

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20

Liaw, Leslie D., and Richard I. DeVries. "Reliability-based optimisation for robust design." International Journal of Vehicle Design 25, no. 1/2 (2001): 64. http://dx.doi.org/10.1504/ijvd.2001.001908.

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21

Stewart, Mark G. "Reliability-based bridge design and assessment." Progress in Structural Engineering and Materials 1, no. 2 (January 1998): 214–22. http://dx.doi.org/10.1002/pse.2260010215.

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22

Chootinan, Piya, S. C. Wong, and Anthony Chen. "A reliability-based network design problem." Journal of Advanced Transportation 39, no. 3 (June 2005): 247–70. http://dx.doi.org/10.1002/atr.5670390303.

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23

Li, Hao, Michiel C. J. Bliemer, and Piet H. L. Bovy. "Network reliability-based optimal toll design." Journal of Advanced Transportation 42, no. 3 (July 2008): 311–32. http://dx.doi.org/10.1002/atr.5670420307.

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24

CIech, J. ‐P. "Solder Reliability Solutions: A PC‐based Design‐for‐reliability Tool*." Soldering & Surface Mount Technology 9, no. 2 (December 1997): 45–54. http://dx.doi.org/10.1108/09540919710800638.

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25

Qiu, ZhiPing, Ren Huang, XiaoJun Wang, and WuChao Qi. "Structural reliability analysis and reliability-based design optimization: Recent advances." Science China Physics, Mechanics and Astronomy 56, no. 9 (August 17, 2013): 1611–18. http://dx.doi.org/10.1007/s11433-013-5179-1.

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26

Patel, Prashant, Paras Shah, and Zissimos P. Mourelatos. "Piston Design Using Multi-Objective Reliability-Based Design Optimization." SAE International Journal of Materials and Manufacturing 3, no. 1 (April 12, 2010): 493–511. http://dx.doi.org/10.4271/2010-01-0907.

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27

Kaymaz, I., and C. A. McMahon. "A probabilistic design system for reliability-based design optimization." Structural and Multidisciplinary Optimization 28, no. 6 (August 24, 2004): 416–26. http://dx.doi.org/10.1007/s00158-004-0444-6.

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28

Lehký, D., O. Slowik, and D. Novák. "Reliability-based design: Artificial neural networks and double-loop reliability-based optimization approaches." Advances in Engineering Software 117 (March 2018): 123–35. http://dx.doi.org/10.1016/j.advengsoft.2017.06.013.

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29

Loc, N. H. "Reliability based design of shaft for gearbox." IOP Conference Series: Materials Science and Engineering 1109, no. 1 (March 1, 2021): 012017. http://dx.doi.org/10.1088/1757-899x/1109/1/012017.

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30

Lim, Woochul, Junyong Jang, Jungho Kim, Jongho Na, Changkun Lee, Yongsuk Kim, and Tae Hee Lee. "Reliability-Based Design Optimization Considering Variable Uncertainty." Transactions of the Korean Society of Mechanical Engineers A 38, no. 6 (June 1, 2014): 649–53. http://dx.doi.org/10.3795/ksme-a.2014.38.6.649.

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31

Wang, Feng Jun. "Feature Based Parametric Design of Piston Reliability." Applied Mechanics and Materials 511-512 (February 2014): 573–77. http://dx.doi.org/10.4028/www.scientific.net/amm.511-512.573.

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In this paper the characteristics of the piston features for classification and feature library; at the same time the feature size and the feature existence parametric methods are discussed in detail. In a detailed analysis of the engine piston load based on, forward piston mechanical,thermal boundary conditions, forward piston mechanical, thermal boundary conditions, the results show that the original piston has a larger reserve strength, this research provided probility for the further optimization.
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32

Low, B. K. "Reliability-based design applied to retaining walls." Géotechnique 55, no. 1 (February 2005): 63–75. http://dx.doi.org/10.1680/geot.2005.55.1.63.

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33

Jiang, Chun Yang, Guo Qi Li, and Xiao Hong Bao. "GSPN Based Reliability Design for Intellectualized System." Advanced Materials Research 118-120 (June 2010): 891–95. http://dx.doi.org/10.4028/www.scientific.net/amr.118-120.891.

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Software reliability has been regarded as one of the most important quality attributes for software intensive systems, especially in embedded system domain. Software reliability engineering is focused on engineering techniques for developing and maintaining software systems whose reliability can be quantitatively evaluated. As most of embedded systems complicated functionalities and controls are implemented by software which is embedded in hardware systems, it became more critical to assure high reliability for software itself. At this point, there is no visible boundary between Software reliability and software safety. Although software reliability has remained an active research subject over several years, challenges and open questions still exist. In particular, vital future goals include the development of new software reliability engineering paradigms that take software architectures, testing techniques, and software failure manifestation mechanisms into consideration. In this paper, we give a paradigm of embedded system, and do some analysis about it by using Generalized Stochastic Petri Net (GSPN).
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34

Yamamoto, Masato, Kazumasa Mizumura, Taiji Endo, and Naofumi Shiraishi. "RELIABILITY BASED DESIGN OF RUBBLE-MOUND BREAKWATER." Coastal Engineering Proceedings 1, no. 21 (January 29, 1988): 153. http://dx.doi.org/10.9753/icce.v21.153.

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The object of this present research is to study probabilistic design of armor blocks protecting composite breakwaters and to produce optimum design methodology for S-shaped breakwaters in terms of failure probability and construction cost. Failure probability in the vicinity of the still water level is greatest in the case of uniform sloped breakwaters. Therefore,S-shaped breakwaters of which the slope near the still water level is milder have a reduced risk of damage compared to uniform sloped ones. The optimum design index presents good economics and reliability in rubble-mound breakwater design.
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35

Crespo, Luis G., and Sean P. Kenny. "Reliability-Based Control Design for Uncertain Systems." Journal of Guidance, Control, and Dynamics 28, no. 4 (July 2005): 649–58. http://dx.doi.org/10.2514/1.9127.

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36

Lindt, John W. van de, and John M. Niedzwecki. "Methodology for Reliability-Based Design Earthquake Identification." Journal of Structural Engineering 126, no. 12 (December 2000): 1420–26. http://dx.doi.org/10.1061/(asce)0733-9445(2000)126:12(1420).

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37

Fishman, Kenneth L. "Reliability-Based Design of Mechanically Stabilized Earth." Transportation Research Record: Journal of the Transportation Research Board 2253, no. 1 (January 2011): 73–80. http://dx.doi.org/10.3141/2253-08.

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38

TADA, Yukio, Ryuichi MATSUMOTO, and Makoto YOSHIDA. "Reliability-based optimum design of continuum structures." Transactions of the Japan Society of Mechanical Engineers Series A 54, no. 500 (1988): 839–46. http://dx.doi.org/10.1299/kikaia.54.839.

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39

Campidelli, M., A. G. Razaqpur, and S. Foo. "Reliability-based load factors for blast design." Canadian Journal of Civil Engineering 40, no. 5 (May 2013): 461–74. http://dx.doi.org/10.1139/cjce-2011-0411.

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In this study the concepts of reliability are used to derive blast load factors. First, some objective criteria are proposed for the proper interpretation of pressure data gathered in arena tests. These criteria are applied to the pressure–time histories recorded during field tests involving live explosive detonated in contact with the ground. Three major shock wavefront parameters, including peak pressure, impulse, and positive phase duration are calculated. Next, statistical analysis is performed on these metrics to estimate their probability density functions and goodness-of-fit tests are carried out to gauge the appropriateness of each estimate. Using the best-fitting distribution for each wavefront metric, load factors are derived on the basis of two approaches. The first approach employs the percentiles of the three load metrics, each estimated using the pertinent probability distribution. The second approach uses concepts of reliability and presents load factors for low, medium, and high level of protection. The two sets of load factors are compared and the limitations of each approach are discussed.
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40

Patnaik, S. N., S. S. Pai, and R. M. Coroneos. "Reliability-based design optimization of airframe components." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 223, no. 7 (July 2009): 1019–36. http://dx.doi.org/10.1243/09544100jaero444.

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41

Kharmanda, G., A. Mohsine, A. Makloufi, and A. El-Hami. "Recent methodologies for reliability-based design optimization." International Journal for Simulation and Multidisciplinary Design Optimization 2, no. 1 (January 2008): 11–23. http://dx.doi.org/10.1051/smdo:2008002.

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42

Agrawal, Anil Kumar, Mahendra Pratap, Subhash Chandra Sati, and Rajeev Kumar Upadhyay. "Reliability-based optimized design of hybrid tether." Aircraft Engineering and Aerospace Technology 92, no. 8 (July 1, 2020): 1141–47. http://dx.doi.org/10.1108/aeat-01-2020-0007.

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Purpose The purpose of this paper is to optimize the design of a hybrid tether using probabilistic approach considering inherent random variation in the stress developed and the strength it has. The variation in strength is mostly because of variation in diameter of the tether and the properties of the material along the length of the tether. As a result, classical design approach for the tether may not serve the purpose. For this purpose, a reliability-based design of hybrid tether is discussed in this paper. Design/methodology/approach A literature review was carried out on the design of tether and its operational reliability. It has been shown that the classical design approach does not serve the purpose, as the strategic operation has to be reliable enough, often requiring a measure of reliability required. A reliability-based approach has been presented to achieve the optimum design of a hybrid tether. Findings The optimization problem was carried out for different values of the safety factor to investigate the effect on the optimal design of tether. An analysis is carried out to show that one should not target a very high value of reliability or factor of safety, as it causes the self-weight of the tether to increase tremendously and its cost significantly. Research limitations/implications The present work has been carried out considering the limited data and can further be extended to determine more accurate reliability measures by considering more number of sample test data. The measured data is collected from limited required trials for demo; do not represent the exact population data. Originality/value Lab strength test and flight trials were conducted to acquire data for the present analysis. In field use, it was noticed that the tether degraded from top portion attached toward the balloon end because of maximum exposure and repeated usage.
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43

Folz, Bryan, and Ricardo O. Foschi. "Reliability‐Based Design of Wood Structural Systems." Journal of Structural Engineering 115, no. 7 (July 1989): 1666–80. http://dx.doi.org/10.1061/(asce)0733-9445(1989)115:7(1666).

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44

Al‐Harthy, Ali S., and Dan M. Frangopol. "Reliability‐Based Design of Prestressed Concrete Beams." Journal of Structural Engineering 120, no. 11 (November 1994): 3156–77. http://dx.doi.org/10.1061/(asce)0733-9445(1994)120:11(3156).

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45

Qiu, Weiwei, Zibin Zheng, Xinyu Wang, Xiaohu Yang, and Michael R. Lyu. "Reliability-Based Design Optimization for Cloud Migration." IEEE Transactions on Services Computing 7, no. 2 (April 2014): 223–36. http://dx.doi.org/10.1109/tsc.2013.38.

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46

Benavides, Efrén M. "General Model for Reliability-Based Engineering Design." Communications in Statistics - Theory and Methods 43, no. 10-12 (May 8, 2014): 2342–56. http://dx.doi.org/10.1080/03610926.2013.775303.

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47

Hu, Sheng, Fujie Zhou, Tom Scullion, and Joe Leidy. "Reliability-Based Mechanistic–Empirical Flexible Pavement Design." Transportation Research Record: Journal of the Transportation Research Board 2456, no. 1 (January 2014): 85–95. http://dx.doi.org/10.3141/2456-09.

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48

Morandi, A. C., P. K. Das, and D. Faulkner. "Reliability-Based Design of Externally Pressurized Vessels." Journal of Offshore Mechanics and Arctic Engineering 120, no. 3 (August 1, 1998): 149–53. http://dx.doi.org/10.1115/1.2829535.

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A reliability-based Level I design procedure is proposed for ring-stiffened cylindrical shells under external pressure. The main collapse modes and the present safety factor approach are reviewed. The major aspects involved in code development, such as the statistical properties of the basic variables, reliability methods, sensitivity studies, code format, target reliability, partial safety factor optimization, and comparison with the present practice are described. Safety margins for design are proposed which depend on the design pressure, maximum expected overdive, and shell slenderness. Some suggestions for future work are also given.
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49

Greto, Kaitlyn, and Said M. Easa. "Reliability-based design of truck escape ramps." Canadian Journal of Civil Engineering 47, no. 4 (April 2020): 395–404. http://dx.doi.org/10.1139/cjce-2018-0720.

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The design method of truck escape ramps (TERs) presented by the Transportation Association of Canada and other organizations is deterministic and assumes fixed values of the design speed, rolling resistance, and ramp grade. This paper presents a reliability-based method for TER design based on the first-order second-moment (FOSM) method and the advanced FOSM (AFOSM) method. These methods rely on the distribution of the component random variables. Each method was used to analyze a TER with one grade and two grades. The FOSM is simple and can be easily used by practitioners, even with calculators. The AFOSM is more complicated but more accurate as it considers the design points in determining the probability of failure. The AFOSM method was used to establish design graphs for the required length of TERs. Application of the proposed method is illustrated using actual TERs in the United States and considering a hypothetical design scenario.
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50

WHITE, GREGORY J., and BILAL M. AYYUB. "RELIABILITY-BASED FATIGUE DESIGN FOR SHIP STRUCTURES." Naval Engineers Journal 99, no. 3 (May 1987): 135–49. http://dx.doi.org/10.1111/j.1559-3584.1987.tb02125.x.

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