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Journal articles on the topic 'Structural reliability'

Author: Grafiati

Published: 4 June 2021

Last updated: 11 September 2023

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1

Rashki, Mohsen. "Structural reliability reformulation." Structural Safety 88 (January 2021): 102006. http://dx.doi.org/10.1016/j.strusafe.2020.102006.

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2

Marti, Kurt. "Structural reliability and stochastic structural optimization." Mathematical Methods of Operations Research 46, no. 3 (October 1997): 285–86. http://dx.doi.org/10.1007/bf01194857.

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3

Ohtsubo, Hideomi, and Masaru Fukumura. "Reliability-Based Structural Optimization." Journal of the Society of Naval Architects of Japan 1991, no. 170 (1991): 493–501. http://dx.doi.org/10.2534/jjasnaoe1968.1991.170_493.

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4

Griffith, William S., and Alfredo C. Lucia. "Advances in Structural Reliability." Journal of the American Statistical Association 84, no. 406 (June 1989): 625. http://dx.doi.org/10.2307/2289971.

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5

Schuëller, G. I., and A. H.-S. Ang. "Advances in structural reliability." Nuclear Engineering and Design 134, no. 1 (May 1992): 121–40. http://dx.doi.org/10.1016/0029-5493(92)90010-s.

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6

Leitch, R. D., and Alfredo C. Lucia. "Advances in Structural Reliability." Statistician 41, no. 2 (1992): 252. http://dx.doi.org/10.2307/2348268.

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7

KOH, Ki. "TIME-DEPENDENT RELIABILITY ANALYSIS OF STRUCTURAL SYSTEMS : Reliability function of structural systems." Journal of Structural and Construction Engineering (Transactions of AIJ) 66, no. 542 (2001): 67–73. http://dx.doi.org/10.3130/aijs.66.67_1.

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8

MUROTSU, Yoshisada, Takehito FUKUDA, and Hiroo OKADA. "Fundamentals of Reliability Engineering. 5. Structural Systems Reliability." Journal of the Society of Materials Science, Japan 42, no. 481 (1993): 1238–44. http://dx.doi.org/10.2472/jsms.42.1238.

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9

Jitao, Yao, Chen Liuzhuo, Gao Jun, and Xin Ren. "Structural durability and concept system of structural reliability." IOP Conference Series: Earth and Environmental Science 304 (September 18, 2019): 052035. http://dx.doi.org/10.1088/1755-1315/304/5/052035.

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10

Madsen, Henrik O., and Thore Egeland. "Structural Reliability: Models and Applications." International Statistical Review / Revue Internationale de Statistique 57, no. 3 (December 1989): 185. http://dx.doi.org/10.2307/1403793.

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11

Abu Eusuf, Muhammad, and Abdullah Al Hasan. "Influential Factors and Structural Reliability." Applied Mechanics and Materials 268-270 (December 2012): 677–83. http://dx.doi.org/10.4028/www.scientific.net/amm.268-270.677.

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This study focuses on the influential factors that enhance the reliability and versatility of structure throughout the life span. The factors are considered on the basis of the need for assessment of state of –art- structural analysis and design. Through investigation the researcher found that there are two most influential factors are repeatedly influencing the life of structure. The two factors are structural elements and loading patterns. Structural elements are identified on the basis of structure height, span, bays, percentage of shear wall, ratio of structural and non- structural panels to total number of panels and type of frame. The loading pattern investigated on the serviceability limit of structural components.

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12

Wen, Y. K., and S. H. Song. "Structural Reliability/Redundancy under Earthquakes." Journal of Structural Engineering 129, no. 1 (January 2003): 56–67. http://dx.doi.org/10.1061/(asce)0733-9445(2003)129:1(56).

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13

Basu, Prabir, and Andrew Templeman. "Structural reliability and its sensitivity." Civil Engineering and Environmental Systems 2, no. 1 (March 1, 1985): 3–11. http://dx.doi.org/10.1080/02630258508970375.

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14

Frangopol, Dan M. "Structural Optimization Using Reliability Concepts." Journal of Structural Engineering 111, no. 11 (November 1985): 2288–301. http://dx.doi.org/10.1061/(asce)0733-9445(1985)111:11(2288).

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15

Kuwamura, Hitoshi, and Theodore V. Galambos. "Earthquake Load for Structural Reliability." Journal of Structural Engineering 115, no. 6 (June 1989): 1446–62. http://dx.doi.org/10.1061/(asce)0733-9445(1989)115:6(1446).

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16

Bulleit, William M., David V. Rosowsky, Kenneth J. Fridley, and Marvin E. Criswell. "Reliability of Wood Structural Systems." Journal of Structural Engineering 119, no. 9 (September 1993): 2629–41. http://dx.doi.org/10.1061/(asce)0733-9445(1993)119:9(2629).

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17

Jakubczak, Hieronim, Wojciech Sobczykiewicz, and Grzegorz Glinka. "Fatigue reliability of structural components." International Journal of Materials and Product Technology 25, no. 1/2/3 (2006): 64. http://dx.doi.org/10.1504/ijmpt.2006.008274.

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18

Min, Seung Jae, and Seung Hyun Bang. "Structural Topology Design Considering Reliability." Key Engineering Materials 297-300 (November 2005): 1901–6. http://dx.doi.org/10.4028/www.scientific.net/kem.297-300.1901.

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In the design optimization process design variables are selected in the deterministic way though those have uncertainties in nature. To consider variances in design variables reliability-based design optimization problem is formulated by introducing the probability distribution function. The concept of reliability has been applied to the topology optimization based on a reliability index approach or a performance measure approach. Since these approaches, called double-loop singlevariable approach, requires the nested optimization problem to obtain the most probable point in the probabilistic design domain, the time for the entire process makes the practical use infeasible. In this work, new reliability-based topology optimization method is proposed by utilizing single-loop singlevariable approach, which approximates searching the most probable point analytically, to reduce the time cost and dealing with several constraints to handle practical design requirements. The density method in topology optimization including SLP (Sequential Linear Programming) algorithm is implemented with object-oriented programming. To examine uncertainties in the topology design of a structure, the modulus of elasticity of the material and applied loadings are considered as probabilistic design variables. The results of a design example show that the proposed method provides efficiency curtailing the time for the optimization process and accuracy satisfying the specified reliability.

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19

Harlow, D. Gary, and Robert P. Wei. "Materials ageing and structural reliability." International Journal of Materials and Product Technology 16, no. 4/5 (2001): 304. http://dx.doi.org/10.1504/ijmpt.2001.001263.

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20

Goller, B., H. J. Pradlwarter, and G. I. Schuëller. "Reliability assessment in structural dynamics." Journal of Sound and Vibration 332, no. 10 (May 2013): 2488–99. http://dx.doi.org/10.1016/j.jsv.2012.11.021.

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21

Bennett, Richard M., and Alfredo H. ‐S Ang. "Formulations of Structural System Reliability." Journal of Engineering Mechanics 112, no. 11 (November 1986): 1135–51. http://dx.doi.org/10.1061/(asce)0733-9399(1986)112:11(1135).

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22

Griffith, William S. "Applied Methods of Structural Reliability." Technometrics 39, no. 1 (February 1997): 104–5. http://dx.doi.org/10.1080/00401706.1997.10485451.

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23

Silvestre-Blanes, Javier. "Structural similarity image quality reliability." Signal Processing 91, no. 4 (April 2011): 1012–20. http://dx.doi.org/10.1016/j.sigpro.2010.10.003.

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24

Wiederhorn, S. M., and E. R. Fuller. "Structural reliability of ceramic materials." Materials Science and Engineering 71 (May 1985): 169–86. http://dx.doi.org/10.1016/0025-5416(85)90228-9.

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25

Zhao, Yan-Gang, and Tetsuro Ono. "Moment methods for structural reliability." Structural Safety 23, no. 1 (January 2001): 47–75. http://dx.doi.org/10.1016/s0167-4730(00)00027-8.

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26

Rackwitz, R. "Structural Reliability — Analysis and Prediction." Structural Safety 23, no. 2 (January 2001): 194–95. http://dx.doi.org/10.1016/s0167-4730(01)00007-8.

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27

Rackwitz, Ruediger, and Carlos Guedes Soares. "Structural Reliability at ESREL 2006." Structural Safety 31, no. 3 (May 2009): 213. http://dx.doi.org/10.1016/j.strusafe.2008.06.008.

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28

Frangopol, Dan M. "Multicriteria reliability-based structural optimization." Structural Safety 3, no. 1 (October 1985): 23–28. http://dx.doi.org/10.1016/0167-4730(85)90004-9.

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29

Ditlevsen, O., and P. Bjerager. "Methods of structural systems reliability." Structural Safety 3, no. 3-4 (August 1986): 195–229. http://dx.doi.org/10.1016/0167-4730(86)90004-4.

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30

Nowak, Andrzej S. "Structural reliability, analysis and predictions." Structural Safety 5, no. 3 (September 1988): 235–36. http://dx.doi.org/10.1016/0167-4730(88)90014-8.

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31

Galambos, Theodore V. "Systems reliability and structural design." Structural Safety 7, no. 2-4 (March 1990): 101–8. http://dx.doi.org/10.1016/0167-4730(90)90060-3.

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32

Liu, Pei-Ling, and Armen Der Kiureghian. "Optimization algorithms for structural reliability." Structural Safety 9, no. 3 (February 1991): 161–77. http://dx.doi.org/10.1016/0167-4730(91)90041-7.

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33

Csenki, A., and M. Tichy. "Applied Methods of Structural Reliability." Statistician 44, no. 3 (1995): 414. http://dx.doi.org/10.2307/2348720.

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34

Pellissetti, M. F. "Parallel processing in structural reliability." Structural Engineering and Mechanics 32, no. 1 (May 10, 2009): 95–126. http://dx.doi.org/10.12989/sem.2009.32.1.095.

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35

Blockley, D. I., J. Agarwal, J. T. Pinto, and N. J. Woodman. "Structural vulnerability, reliability and risk." Progress in Structural Engineering and Materials 4, no. 2 (2002): 203–12. http://dx.doi.org/10.1002/pse.109.

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36

Paik, J. K., and P. A. Frieze. "Ship structural safety and reliability." Progress in Structural Engineering and Materials 3, no. 2 (2001): 198–210. http://dx.doi.org/10.1002/pse.74.

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37

Melchers, R. E. "Structural reliability theory in the context of structural safety." Civil Engineering and Environmental Systems 24, no. 1 (March 2007): 55–69. http://dx.doi.org/10.1080/10286600601025191.

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38

Feng, Zhou, Wu Chang, and Zhang Zixu. "Research on Structural reliability and reliability sensitivity of EMU pantograph." IOP Conference Series: Materials Science and Engineering 1043, no. 5 (January 1, 2021): 052060. http://dx.doi.org/10.1088/1757-899x/1043/5/052060.

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39

Yang, Zhou, Yimin Zhang, Xufang Zhang, and Xianzhen Huang. "Reliability sensitivity-based correlation coefficient calculation in structural reliability analysis." Chinese Journal of Mechanical Engineering 25, no. 3 (April 28, 2012): 608–14. http://dx.doi.org/10.3901/cjme.2012.03.608.

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40

Wu, Y. T. "Computational methods for efficient structural reliability and reliability sensitivity analysis." AIAA Journal 32, no. 8 (August 1994): 1717–23. http://dx.doi.org/10.2514/3.12164.

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41

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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42

Wang, Qiang, Jing Feng, Quan Sun, Zhengqiang Pan, and Jieru Meng. "Mechanical Products Reliability Assessment Based on the Structural Performance Degradation Data." International Journal of Materials, Mechanics and Manufacturing 3, no. 3 (2015): 166–69. http://dx.doi.org/10.7763/ijmmm.2015.v3.188.

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43

Tang, Limin, Bin Liao, and Shoubo Peng. "Structural Reliability Analysis and Reliability Index Calculation Method Based on Measurement Uncertainty." Science of Advanced Materials 14, no. 6 (June 1, 2022): 1090–97. http://dx.doi.org/10.1166/sam.2022.4300.

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Structural reliability is a probabilistic measure of structural reliability. Reliability indicators can be calculated from the average and standard deviation. The standard deviation only reflects the degree of dispersion of the series of measured values such as structural resistance and load effects. However, the acquisition of measurement values is related to the measurement objects, instruments, methods, conditions, and measurement personnel. It is difficult to reflect the impact of these five aspects on the measurement values of structural resistance and load effects using standard deviation. Based on this, this article deeply analyzes the measurement uncertainty evaluation theory and method and proposes to use the synthetic standard uncertainty instead of the standard deviation to calculate the standard value of the structural resistance and load effect. This article establishes the structural performance function, structural reliability calculation formula, the reliable index calculation formula, the calculation formula of variation coefficient and the calculation formula of the safety factor based on the measurement uncertainty. The conclusion of this article provides a new application approach for China national standard “Measurement Uncertainty Evaluation and Representation” and also builds a new bridge for the measurement uncertainty evaluation theory to enter the field of structural reliability analysis.

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44

Sha, Li Rong, and Yong Chun Shi. "Structural Optimization Design Considering Reliability Constraints." Applied Mechanics and Materials 477-478 (December 2013): 723–26. http://dx.doi.org/10.4028/www.scientific.net/amm.477-478.723.

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In engineering applications the uncertainties of the structural parameters are inherent and the scatter from their nominal ideal values is in most cases unavoidable. These uncertainties play a dominant role in structural performance and the reliability-based design optimization is a useful method to assess the uncertainty influence. Compared to the basic deterministic-based optimization problem, the latter considers additional non-deterministic constraint functions and will provide the structure more safety. This paper proposed a Fourier orthogonal neural network method to the structural reliability analysis and reliability-based optimization considering uncertainties, the main aim is to minimize the weight of the structure under certain reliability constraints, and to obtain economic benefit meanwhile ensure the safety of the structure.

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45

Liu, Ming, and Wei Guang An. "Structural Dynamic Reliability on Supercavity Vehicle." Advanced Materials Research 230-232 (May 2011): 362–66. http://dx.doi.org/10.4028/www.scientific.net/amr.230-232.362.

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Dynamic reliability of supercavity vehicle is investigated. The vehicle is modeled as thin shells, using eight-node super-parametric shell elements. To deal with the tail of supercavity vehicle structures subjected to stationary random excitations, and the wave passage effect must be considered, an efficient method, the Pseudo Excitation Method, is suggested. The stationary random excitation is transformed into a deterministic transient excitation. The response can be obtained by Newark method, at last dynamic reliability of supercavity vehicle can be got base on the rule of first excursion failure. Examples show that this method is simple, efficient and has good precision.

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46

Dang, Chao, Marcos A. Valdebenito, Matthias G. R. Faes, Pengfei Wei, and Michael Beer. "Structural reliability analysis: A Bayesian perspective." Structural Safety 99 (November 2022): 102259. http://dx.doi.org/10.1016/j.strusafe.2022.102259.

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47

XING XIU-SAN. "THE PHYSICAL KINETICS OF STRUCTURAL RELIABILITY." Acta Physica Sinica 35, no. 6 (1986): 741. http://dx.doi.org/10.7498/aps.35.741.

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48

Zhu, Lisha, Xianzhen Huang, Cong Yuan, and Zunling Du. "Structural reliability updating using experimental data." Journal of Mechanical Science and Technology 36, no. 1 (January 2022): 135–43. http://dx.doi.org/10.1007/s12206-021-1212-x.

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49

Hellebrandt, Laura, Raphaël Steenbergen, Ton Vrouwenvelder, and Kees Blom. "Structural reliability of existing city bridges." IABSE Symposium Report 105, no. 27 (September 23, 2015): 1–8. http://dx.doi.org/10.2749/222137815818358277.

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50

Ellingwood, B. R. "Structural reliability and performance-based engineering." Proceedings of the Institution of Civil Engineers - Structures and Buildings 161, no. 4 (August 2008): 199–207. http://dx.doi.org/10.1680/stbu.2008.161.4.199.

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