Optimal Design of Suspension Bridge Based on Minimization of Life Cycle Cost

This study was intend to develop the optimal design method of suspension bridge by the reliability analysis based on minimization of life cycle cost (LCC). The reliability analysis was performed considering aleatory uncertainties included in the result of numerical analysis. The optimal design was estimated based on life-cycle cost analysis depending on the result of reliability analysis. As the effect of epistemic uncertainty, the safety index (beta), failure probability (pf) and minimum life cycle cost were random variables. The high-level distributions were generated, from which the critical percentile values were obtained for a conservative bridge design through sensitivity assessment.

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Super-Net: Integrated Program Package for Reliability Analysis, Risk Assessment and Life Cycle Cost Analysis

Safety and Reliability ◽

10.1080/09617353.1990.11690572 ◽

1990 ◽

Vol 10 (4) ◽

pp. 16-26

Author(s):

D J Burns ◽

A Formaniak

Keyword(s):

Risk Assessment ◽

Life Cycle ◽

Cost Analysis ◽

Reliability Analysis ◽

Life Cycle Cost ◽

Program Package ◽

Life Cycle Cost Analysis ◽

Integrated Program

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Reliability analysis and life cycle cost optimization: a case study from Indian industry

International Journal of Quality & Reliability Management ◽

10.1108/ijqrm-11-2014-0184 ◽

2016 ◽

Vol 33 (3) ◽

pp. 414-429 ◽

Cited By ~ 15

Author(s):

Laxman Yadu Waghmode ◽

Rajkumar Bhimgonda Patil

Keyword(s):

Life Cycle ◽

Reliability Analysis ◽

Life Cycle Cost ◽

Cost Optimization ◽

Control Panel ◽

Life Cycle Cost Analysis ◽

Content Type ◽

Cutting Machine ◽

Band Saw

Purpose – Reliability analysis is required to identify the components or subsystems with low reliability for a given designed performance. Life cycle cost analysis helps understand the cost implications over the entire life span of a product. The purpose of this paper is to present a case study describing reliability analysis and life cycle cost optimization of a band saw cutting machine manufactured and used in India. Design/methodology/approach – The data required for reliability analysis is collected from the manufacturer and users of band saw cutting machine. The parameters of failure distribution have been estimated by using ReliaSoft’s Weibull++6 software. The life cycle cost is divided into various cost elements such as acquisition cost, operation cost, failure cost, support cost and net salvage value. Findings – The results of the analysis show that the components such as band wheel bearing, guide roller bearing, limit switch, carbide pad, hydraulic cylinder oil seal, control panel dial, control panel and solenoid valve are critical from reliability and life cycle cost analysis perspective. Originality/value – With certain design changes it is found that the reliability of the system is increased by 15.85 percent while the life cycle cost is reduced by 22.09 percent. The study also shows that the reliability analysis is useful for deciding maintenance intervals.

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Optimal design method for BTB based on reliability and life cycle cost evaluation

PowerCon 2000. 2000 International Conference on Power System Technology. Proceedings (Cat. No.00EX409) ◽

10.1109/icpst.2000.897114 ◽

2002 ◽

Cited By ~ 1

Author(s):

M. Nakabayashi ◽

T. Takano ◽

K. Temma ◽

I. Iyoda

Keyword(s):

Life Cycle ◽

Optimal Design ◽

Life Cycle Cost ◽

Design Method ◽

Cost Evaluation ◽

Optimal Design Method

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Treatment of Uncertainties in Risk-Based Optimal Design of Marine Structures (Invited Lecture)

23rd International Conference on Offshore Mechanics and Arctic Engineering, Volume 2 ◽

10.1115/omae2004-51145 ◽

2004 ◽

Cited By ~ 2

Author(s):

Alfredo H.-S. Ang

Keyword(s):

Life Cycle ◽

Optimal Design ◽

Life Cycle Cost ◽

Epistemic Uncertainty ◽

Structural Response ◽

Safety Index ◽

Marine Structures ◽

Industry Standards ◽

High Percentile ◽

Cost Components

A systematic procedure for properly treating each of the two broad types of uncertainty, aleatory and epistemic, is proposed for the risk-based design of marine structures, and illustrated with the formulation of optimal design of a typical offshore platform in the Gulf of Mexico. Randomness in the ocean wave height at the offshore site of a platform, and the variabilities of material properties, contribute to the aleatory uncertainty; whereas the epistemic uncertainty includes the imperfections in the modeling and calculations of the structural response and damage estimation. Optimal design is then formulated on the basis of minimum life-cycle cost (LCC), in which additional epistemic uncertainties in the life-cycle cost components are also included. High percentile (90% or 75%) values of the safety index obtained for the optimal design may be appropriate for risk-aversive designs; these values are consistent with current industry standards for the design of important platforms.

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