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Abstract

This study presents a methodology for determining the optimal target reliability of a civil structure using the life-cycle cost (LCC) concept. The relationship between the reliability index and the estimated LCC is analyzed in order to find optimal target reliability. As a simple explanation of the method, the study uses steel bridges as an example. The analysis reveals that the LCC of steel bridges has great influence on target reliability, especially when the bridges have many lanes and long spans. It is also ascertained that higher target reliability is required to minimize the LCC when the number of lanes or average daily traffic (ADT) increases. Reliability analyses considering various traffic conditions were also conducted to observe changes in structural reliability with regard to such conditions. After the optimal target reliability is determined, target reliability adjustment can be performed. The analysis results show that the target reliability index can be adjusted consistently within the appropriate ranges by modifying the resistance factor in a limit state equation. In the last part of the study, an example bridge case study was performed to confirm the possibility of practical application of the presented method.

Keywords

life-cycle cost optimum target reliability structural reliability analysis reliability adjustment

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References

AASHTO (2007). AASHTO LRFD Bridge Design Specifications, 4th Edition, American Association of State Highway and Transportation Officials, Washington D.C., United States.

Ang

A.H.S.

and Tang

(1990). Probability Concepts in Engineering Planning and Design, John Wiley and Sons, Inc. Hoboken, NJ, United States.

Aktas

Moses

and Ghosn

(2001). “Cost and safety optimization of structural design specifications”, Reliability Engineering and System Safety, Vol. 73, No. 3, pp. 205–212.

Ang

A.H.S.

and De Leon

(1995). Transactions of the 13^th International Conference on Structural Mechanics in Reactor Technology, Porto Alegre, Brazil.

Ang

A.H.S.

and De Leon

(1997). “Determination of optimal target reliabilities for design and upgrading of structures”, Structural Safety, Vol. 19, No. 1, pp. 91–103.

Bhattacharya

Basu

and Ma

(2001). “Developing target reliability for novel structures: The case of the mobile offshore base”, Marine structures, Vol. 14, No. 1–2, pp. 37–58.

CEN (2002). Eurocode 0: Basis of Structural Design, The European standard EN1990, European committee for standardization, Brussels, Belgium.

Cho

H.N.

Ang

A.H.S.

and Lim

J.K.

(2000). Proceedings of the 8^th ASCE Specialty Conference on Probabilistic Mechanics and Structural Reliability, ASCE, University of Notre Dame, Indiana, United States, July.

Cho

H.N.

Min

D.H.

and Cho

J.S.

(2001). “Optimum life cycle cost design of high-speed railway steel bridges”, Journal of Korean Society of Civil Engineers, Vol. 21, No. 5, pp. 753–760.

10.

De Brito

and Branco

F.A.

(1994). “Bridge management policy using cost analysis”, Proceedings of the ICE: Structures & Buildings, Vol. 104, No. 4, pp. 431–439.

11.

Ehlen

M.A.

and Marshall

H.E.

(1996). The Economics of New-Technology Materials: A Case Study of FRP Bridge Decking, National Institute of Standards and Technology, Department of Commerce, United States.

12.

Frangopol

D.M.

and Lin

K.Y.

(1997). “Life-cycle cost design of deteriorating structures”, Journal of Structural Engineering, ASCE, Vol. 123, No. 10, pp. 1390–1401.

13.

Ghosn

and Moses

(1986). “Reliability calibration of a bridge design code”, Journal of Structural Engineering, ASCE, Vol. 112, No. 4, pp. 745–763.

14.

JCSS (2001). Probabilistic Model Code, Joint Committee on Structural Safety, Switzerland.

15.

Korean Institute of Construction Technology (2006). Estimating Cost Standard for Construction Industry, Korean Institute of Construction Technology (Authorized by Korean Ministry of Land, Transport and Maritime Affairs), Gyunggi-do, Korea.

16.

Korea Transport Institute (1997). Trends and Composing Factors for Traffic Accident Costs, Korean Transport Institute, Gyunggi-do, Korea.

17.

Kim

S.H.

and Lee

S.H.

(1996). Proceedings of 7^th ASCE Specialty Conference on Probabilistic Mechanics and Structural Reliability, Worcester, MA, United States.

18.

Korea Infrastructure Safety and Technology Corporation (2001). Development of Advanced Infrastructure Safety Management System with Concept of LCC, Ministry of land, Transport and Maritime Affairs, Gyunggi-do, Korea.

19.

Korean Ministry of Education, Science and Technology (2004). Cost Standardization for Engineering Business, Korean Ministry of Education, Science and Technology, Seoul, Korea.

20.

Koskito

O.J.

and Ellingwood

B.R.

(1997). “Reliability-based optimization of plant precast concrete structures”, Journal of Structural Engineering, ASCE, Vol. 123, No. 3, pp. 298–304.

21.

and Cheng

G.D.

(2001). “Optimal decision for the target value of performance based structural reliability”, Structural and Multidisciplinary Optimization, Vol. 22, No. 4, pp. 261–267.

22.

National Institute of Standards and Technology. (2003). Bridge LCC 2.0 Users Manual, National Institute of Standards and Technology, Department of Commerce, United States.

23.

Nowak

A.S.

(1993). “Live dead model for highway bridges”, Structural Safety, Vol. 13, No. 1, pp. 53–66.

24.

Nowak

A.S.

(1995). “Calibration of LRFD bridge code”, Journal of Structural Engineering, Vol. 121, No. 8, pp. 1245–1251.

25.

Rackwitz

(2000). “Optimization-the basis of code making and reliability verification”, Structural Safety, Vol. 22, No. 1, pp. 27–60.

26.

Statistics Korea (2009). Statistical Database. (http://www.kosis.kr)

27.

Szerszen

M.M.

and Nowak

A.S.

(2003). “Calibration of design code for buildings (ACI 318): Part2- Reliability analysis and resistance factors”, ACI Structural Journal, Vol. 100, No. 3, pp. 383–391.

Determining the Optimal Structural Target Reliability of a Structure with a Minimal Life-Cycle Cost Perspective

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