All Issue

2022 Vol.64, Issue 5 Preview Page
Structural System Reliability Analysis of Semi-rigid Connected Frame

반강결 프레임 구조물의 시스템 신뢰성 해석

Sangik Leea
,
Jonghyuk Leeb
,
Youngjoon Jeongb
,
Dongsu Kimc
,
Byunghun Seoc
,
Yejin Seoc
,
Won Choid†
이 상익a
,
이 종혁b
,
정 영준b
,
김 동수c
,
서 병훈c
,
서 예진c
,
최 원d†
aResearcher, Department of Rural Systems Engineering, Research Institute of Agriculture and Life Sciences, Seoul National University
bPhD Student, Department of Rural Systems Engineering, Seoul National University
cMS Student, Department of Rural Systems Engineering, Seoul National University
dAssociate Professor, Department of Rural Systems Engineering, Research Institute of Agriculture and Life Sciences, Global Smart Farm Convergence Major, Seoul National University
a서울대학교 농생명과학연구소 농촌시스템공학과 연구원
b서울대학교 농촌시스템공학과 박사과정 학생
c서울대학교 농촌시스템공학과 석사과정 학생
d서울대학교 농업생명과학연구소 글로벌스마트팜융합전공 농어촌시스템공학과 부교수
† Corresponding author Tel.: +82-2-880-4715, Fax: +82-2-873-2087 E-mail: fembem@snu.ac.kr
2022. pp. 67-77
PDF XML Citation
Abstract

Recently, the trend in structural analysis and design is moving towards the development of reliable system. The reliability-based method defines various limit states related to usability and failure, thereby enabling multiple levels of design according to the importance of a structure. Meanwhile, an actual structure is composed of a set of several elements, and particularly, a frame type is composed of a system in which the members are connected each other. At this time, the actual connection between members is in a semi-rigid condition, not in complete rigid or hinged. This semi-rigid is found in several structures, especially in agricultural facilities designed with lightweight materials. In this study, a system reliability analysis technique for frame structure was established, and applied to an analysis of the semi-rigid connection. Various conditions of correlation were applied to reflect the connectivity between members, and through this, the limitations of existing structural analysis method and the behavioral characteristics of structure were analyzed. The failure probability of the frame member component and the overall structure system was significantly different in consideration of the semi-rigid connection. In addition, it was evaluated that the behavior of structure can be more accurately analyzed if the correlation according to the position of members in a system is further investigated.

Keywords
Reliability analysis
failure probability
structural reliability
system reliability
plastic greenhouse
semi-rigid connection
References

REFERENCES

1
P. R. Adduri and R. C. Penmetsa, Structural Safety, System reliability analysis for mixed uncertain variables, 31(5); 375-382 (2009)10.1016/j.strusafe.2009.02.001
2
S. Afshan, P. Francis, N. R. Baddoo and L. Gardner, Journal of Constructional Steel Research, Reliability analysis of structural stainless steel design provisions, 114; 293-304 (2015)10.1016/j.jcsr.2015.08.012
3
B. M. Agostini, M. S. D. R. Freitas, R. A. D. M. Silveira and A. R. D. D. Silva, REM-International Engineering Journal, Structural reliability analysis of steel plane frames with semi-rigid connections, 71; 333-339 (2018)10.1590/0370-44672017710044
4
A. H. Ang and C. A. Cornell, Journal of the Structural Division, Reliability bases of structural safety and design, 100(9); 1755-1769 (1974)10.1061/jsdeag.0003870
5
A. H. Ang and W. H. Tang, Probability Concepts in Engineering: Emphasis on Applications to Civil and Environmental Engineering, 2nd edition, New York. Wiley. (2006)
6
M. K. Choi, H. S. Song, M. W. Cho, I. H. Yu, Y. A. Shin, S. Y. Lim and H. R. Ryu, Journal of Bio-Environment Control, Test methods for evaluation of slip-resistance force of clamp for plastic greenhouse, 25(3); 193-199, (in Korean) (2016)10.12791/ksbec.2016.25.3.193
7
A. A. Chojaczyk, A. P. Teixeira, L. C. Neves, J. B. Cardoso and C. G. Soares, Structural Safety, Review and application of Artificial Neural Networks models in reliability analysis of steel structures, 52; 78-89 (2015)10.1016/j.strusafe.2014.09.002
8
A. Der Kiureghian, Engineering Design Reliability Handbook, 14First-and second-order reliability methods, FL. CRC Press Boca Raton. (2005)
9
H. L. Groth and R. E. Johansson, Proceedings of Nordic Symposium on Mechanical Properties of Stainless Steel, Statics of the mechanical strength of stainless steels–sheet, Sweden. (1990)
10
R. Gunn, Duplex Stainless Steels: Microstructure, Properties and Applications, Woodhead Publishing. (1997)
11
A. Haldar and S. Mahadevan, Probabilistic Structural Mechanics Handbook, First-order and second-order reliability methods; 27-52, Boston, MA. Springer. (1995)
12
S. Hendawi and D. M. Frangopol, Structural Safety, System reliability and redundancy in structural design and evaluation, 16(1-2); 47-71 (1994)10.1016/0167-4730(94)00027-n
13
M. Hohenbichler, S. Gollwitzer, W. Kruse and R. Rackwitz, Structural Safety, New light on first-and second-order reliability methods, 4(4); 267-284 (1987)10.1016/0167-4730(87)90002-6
14
R. Hou, J. L. Beck, X. Zhou and Y. Xia, Engineering Structures, Structural damage detection of space frame structures with semi-rigid connections, 235; 112029 (2021)10.1016/j.engstruct.2021.112029
15
M. E. Kartal, H. B. Basaga, A. Bayraktar and M. Muvafık, Electronic Journal of Structural Engineering, Effects of semi-rigid connection on structural responses, 10; 22-35 (2010)10.56748/ejse.10122
16
D. S. Kim and S. Y. Ok, Computational Structural Engineering, Dominant failure mode selection and system reliability analysis, 24(4); 40-48 (2011)
17
H. J. Kim and J. J. Lee, Journal of the Korean Society of Agricultural Engineers, Development of the nonlinear structural analysis model for the light-weight framed structures (2)-With the semi-rigid connected framed structures analysis, 40(1); 78-87, (in Korean) (1998)
18
H. J. Lee and G. Chung, Journal of the Korean Society of Hazard Mitigation, Measurement of snow density according to regional snow depth in South Korea, 18(7); 497-501, (in Korean) (2018)10.9798/kosham.2018.18.7.497
19
S. I. Lee, J. H. Lee, Y. J. Jeong and W. Choi, Biosystems Engineering, Development of a structural analysis model for pipe structures to reflect ground conditions, 197; 231-244 (2020)10.1016/j.biosystemseng.2020.06.018
20
B. Leffler, Proceedings of Nordic Symposium on Mechanical Properties of Stainless Steel, A statistical study of the mechanical properties of hot rolled stainless steel, Sweden. (1990)
21
N. Liu and W. H. Tang, Finite Elements in Analysis and Design, System reliability evaluation of nonlinear continuum structures—a probabilistic FEM approach, 40(5-6); 595-610 (2004)10.1016/s0168-874x(03)00098-2
22
P. L. Liu and A. Der Kiureghian, Probabilistic Engineering Mechanics, Multivariate distribution models with prescribed marginals and covariances, 1(2); 105-112 (1986)10.1016/0266-8920(86)90033-0
23
MAFRA (Ministry of Agriculture, Food and Rural Affairs), Ministry of Agriculture, Food and Rural Affairs, Standard Designs and Specifications for Disaster Resilience of Horticultural Facilities, No. 2014-78 (in Korean) (2014)
24
MAFRA (Ministry of Agriculture, Food and Rural Affairs), Ministry of Agriculture, Food and Rural Affairs, Regulations on the Registration of Disaster Resistant Design Standards and Disaster Resistant Facility Standards for Horticultural and Special Production Facilities, No. 2019-44 (in Korean) (2019)
25
MOIS (Ministry of the Interior and Safety), Statistical Yearbook of Natural Disaster 2018, No. 11-1741000-000002-11 (in Korean) (2019)
26
NAAS (National Academy of Agricultural Science, RDA), Rural Development Administration, Greenhouse Structural Design Standards (Draft), No. 11-1390802- 001030-01 (in Korean) (2015)
27
T. H. Nguyen, Journal of Materials and Engineering Structures, Reliability assessment of frame steel considering semi-rigid connections, 6(1); 119-126 (2019)
28
A. B. Outokumpu, Avesta Research Centre, Standard Cr-Ni-Mo Stainless Steels, Avesta. (2005)
29
M. Papadrakakis, V. Papadopoulos and N. D. Lagaros, Computer Methods in Applied Mechanics and Engineering, Structural reliability analyis of elastic-plastic structures using neural networks and Monte Carlo simulation, 136(1-2); 145-163 (1996)10.1016/0045-7825(96)01011-0
30
R. Rackwitz and B. Fiessler, Computers & Structures, Structural reliability under combined random load sequences, 9(5); 489-494 (1978)10.1016/0045-7949(78)90046-9
31
A. Rigi, B. JavidSharifi, M. A. Hadianfard and T. Y. Yang, Journal of Constructional Steel Research, Study of the seismic behavior of rigid and semi-rigid steel moment-resisting frames, 186; 106910 (2021)10.1016/j.jcsr.2021.106910
32
H. R. Ryu, E. H. Lee, M. W. Cho, I. H. Yu and Y. C. Kim, Journal of Bio-Environment Control, Evaluation on the behavioral characteristics of plastic greenhouse by full-scale testing and finite element analysis, 21(4); 459-465, (in Korean) (2012)10.12791/ksbec.2012.21.4.459
33
G. J. Simitses and A. S. Vlahinos, Journal of Constructional Steel Research, Stability analysis of a semi-rigidly connected simple frame, 2(3); 29-32 (1982)10.1016/0143-974x(82)90031-1
34
J. Song and W. H. Kang, Structural Safety, System reliability and sensitivity under statistical dependence by matrix-based system reliability method, 31(2); 148-156 (2009)10.1016/j.strusafe.2008.06.012
35
P. Thoft-Christensen and Y. Murotsu, Springer Science & Business MediaApplication of Structural Systems Reliability Theory (2012)
36
N. L. Tran and T. H. Nguyen, Engineering, Technology & Applied Science Research, Reliability assessment of steel plane frame’s buckling strength considering semi-rigid connections, 10(1); 5099-5103 (2020)10.48084/etasr.3231
37
H. Yang, Structures, Performance analysis of semi-rigid connections in prefabricated high-rise steel structures, 28; 837-846 (2020)10.1016/j.istruc.2020.09.036
38
X. Zhang, L. Wang and J. D. Sørensen, Reliability Engineering & System Safety, REIF: a novel active-learning function toward adaptive Kriging surrogate models for structural reliability analysis, 185; 440-454 (2019)10.1016/j.ress.2019.01.014
39
H. Zhao, X. G. Liu and M. X. Tao, Engineering Structures, Component-based model of semi-rigid connections for nonlinear analysis of composite structures, 266; 114542 (2022)10.1016/j.engstruct.2022.114542
Information
  • Publisher :The Korean Society of Agricultural Engineers
  • Publisher(Ko) :한국농공학회
  • Journal Title :Journal of Korean Society of Agricultural Engineers
  • Journal Title(Ko) :한국농공학회논문집
  • Volume : 64
  • No :5
  • Pages :67-77
  • Received Date : 2022-08-25
  • Revised Date : 2022-09-07
  • Accepted Date : 2022-09-07
  • DOI :https://doi.org/10.5389/KSAE.2022.64.5.067
Journal Informaiton Journal of Korean Society of Agricultural Engineers Journal of Korean Society of Agricultural Engineers
  • NRF
  • KOFST
  • crossref crossmark
  • crossref cited-by
  • crossref funder-registry
  • crosscheck
  • orcid
  • open access
Journal Informaiton Journal Informaiton - close