scholarly journals Optimization method of fatigue maintenance for cable-beam anchorage zone of suspension bridge

2020 ◽  
Vol 103 (3) ◽  
pp. 003685042095013
Author(s):  
Hongmei Tan ◽  
Yong Zeng ◽  
Qianping Zhang
Keyword(s):  
Failure Probability ◽  
Life Cycle Cost ◽  
Structural Reliability ◽  
Relative Proportion ◽  
Suspension Bridge ◽  
Optimization Method ◽  
Maintenance Cost ◽  
Time Interval ◽  
Maintenance Time ◽  
Optimal Maintenance

The cable-beam anchorage zone is the vital load-bearing component in suspension bridge. For maintenance of such structure, a method of probabilistic optimization was proposed by combining linear elastic fracture mechanics, structural reliability and life cycle cost analysis. In this method, the optimal maintenance time is obtained by determining the relative proportion between the costs under the condition that the structural reliability is higher than the minimum allowable reliability. While, the minimum total maintenance cost is obtained by determining the maintenance interval. Then, an example is presented to verify this method, with the following conclusions: the reliability index is inversely proportional to the failure probability, the change of maintenance cost and failure cost affects the optimal maintenance time, the optimal maintenance time will be ahead of time when consider the risk cost. And finally, when the maintenance time interval is determined, the optimal maintenance cost is affected by the maintenance probability and the failure probability.

scholarly journals The Proposed Maintenance Task for Plastic Injection Machine Using Reliability and Risk Centered Maintenance (RRCM) method in Manufacturing Industry

2019 ◽  
Vol 10 (2) ◽  
Author(s):  
Liza Nafiah Maulidina ◽  
Fransiskus Tatas Dwi Atmaji ◽  
Judi Alhilman
Keyword(s):  
Manufacturing Industry ◽  
Maintenance Cost ◽  
Time Interval ◽  
Maintenance Policy ◽  
Risk Matrix ◽  
Maintenance Time ◽  
Optimal Maintenance ◽  
Critical Components ◽  
The Cost ◽  
Plastic Injection

The objective of this research was to determine the optimal maintenance time interval for the selected critical components and the total cost of maintenance of a plastic injection machine. In determining the critical components, a risk matrix was used, and three components were selected, namely, hydraulic hose, barrel, and motor. Using the Reliability and Risk Centered Maintenance (RRCM) method, the researchers got a proposed maintenance policy and the total maintenance cost. Based on the result, it shows that there are seven proposed maintenance tasks with three scheduled oncondition tasks and four scheduled restoration tasks with an average maintenance interval of two months. The total maintenance cost proposed is IDR91.595.318. The cost is smaller compared to the actual maintenance costs of the company.

Practical Applications of a Bridge Management System in Japan

2000 ◽  
Vol 1696 (1) ◽  
pp. 14-25 ◽  
Author(s):  
Ayaho Miyamoto ◽  
Kei Kawamura ◽  
Hideaki Nakamura
Keyword(s):  
Management System ◽  
Life Cycle Cost ◽  
Concrete Bridges ◽  
Maintenance Cost ◽  
Bridge Management ◽  
Bridge Management System ◽  
Practical Applications ◽  
Optimal Maintenance ◽  
Existing Bridges ◽  
Comparison Of The Results

Recently, the necessity of developing a practical bridge management system (BMS) has been pointed out in Japan, because the maintenance of existing bridges has become a major social concern. The aim of this study was to develop a practical BMS for deteriorated concrete bridges. The proposed system (J-BMS) uses multilayered neural networks to predict deterioration processes in existing bridges, to construct an optimal maintenance plan for repair or strengthening measures based on minimizing life-cycle cost, and to estimate the maintenance cost. A comparison of the results of applying this system to some actual in-service bridges with the results of questionnaire surveys of experts indicates that optimal maintenance planning as well as bridge rating can be predicted accurately by this system.

Bi-Criteria Optimization for Finding the Optimal Replacement Interval for Maintaining the Performance of the Process Industries

2016 ◽  
pp. 643-675 ◽  
Author(s):  
Harish Garg
Keyword(s):  
Maintenance Cost ◽  
Time Interval ◽  
Process Industries ◽  
Component System ◽  
Optimal Replacement ◽  
Maintenance Program ◽  
Optimal Maintenance ◽  
Maintenance Decision ◽  
System Life ◽  
Multi Component System

The optimization of the maintenance decision making can be defined as an attempt to resolve the conflicts of decision situation in such a way that variable under the control of the decision maker take their best possible value. One of the most important controllable parameters is the time interval between maintenance. Most of the researchers have kept the fact that whenever the suitable maintenance interval is reached, the system is replaced with the original one. However the improvement of a system life not only depends on the replacement of deteriorated components, but also on the effectiveness of the maintenance. Taking care about this fact, the effects of maintenance of a multi-component system by combining the three main different PM actions, namely (1a), (1b) and (2p)-maintenance actions. Thus, the main purpose of an effective maintenance program is to present a technique for finding the optimal maintenance interval for the system by considering the multiple goals of the organization viz. maximum availability, minimum maintenance cost.

Optimizing Ship Machinery Maintenance Scheduling Through Risk Analysis and Life Cycle Cost Analysis

2006 ◽  
Author(s):  
Lahar Baliwangi ◽  
Kenji Ishida ◽  
Hidetoshi Arima ◽  
Ketut Buda Artana
Keyword(s):  
Life Cycle ◽  
Life Cycle Cost ◽  
Risk Evaluation ◽  
System Modeling ◽  
Scheduling Algorithm ◽  
Maintenance Scheduling ◽  
Maintenance Cost ◽  
Penalty Cost ◽  
Maintenance Schedule ◽  
Optimal Maintenance

Ship maintenance scheduling management integrated with risk evaluation and Life Cycle Cost (LCC) assessment approach is developed in this research. It improves upon existing practices in arranging an optimal maintenance schedule by modeling operational and economical risks. This paper researches maintenance scheduling algorithm with explicitly consider risks associated with some operation problems such as operating schedule, routes, ship position, resources availability, and achievement of reliability-availability-maintainability (RAM) of system. Modeling of components RAM with their failures consequences results risk evaluation. Time value of maintenance cost, replacement cost, earning rate, and penalty cost are also simulated. When the system reaches the lowest level of lower limit reliability, one or more components should be maintained or replaced. Since maintenance task may interrupt the operation, to minimize time-to-maintain all possible events of maintaining other components at the same time will be evaluated together with resources availability. By researching those possibilities, constraining the risk, and based on LCC calculation result, an optimal maintenance scheduling can be then well established.

scholarly journals Optimal Maintenance Probabilities and Preventive Replacement Maintenance Policy for Photocopy Machines

2021 ◽  
Author(s):  
Nse Udoh ◽  
Akaninyene Udom ◽  
Fredrick Ohaegbunem
Keyword(s):  
Minimum Cost ◽  
Maintenance Cost ◽  
Logistic Distribution ◽  
Maintenance Policy ◽  
Preventive Replacement ◽  
Maintenance Time ◽  
Replacement Model ◽  
Cumulative Function ◽  
Optimal Maintenance ◽  
Preventive Maintenance Policy

The need for suitable replacement policies are essential to minimize down time, maintenance cost and maximize the availability and reliability of equipment. On this premise, this work models the failure rate of Photocopy machines and obtain its optimal preventive maintenance policy that would prevent damage and its attendant losses to both users and end-product consumers. The failure distribution of the machine was shown to follow the Log-Logistic distribution with shape parameter, αˆ=1.723339368 and scale parameter, βˆ=763.9219635. Optimal probabilities of the distribution were obtained and utilized in both the cumulative failure function and cumulative hazard function-based replacement models to formulate a replacement maintenance policy for the machine. The failure cumulative function-based replacement model was found to be a better model which yields optimal replacement maintenance time of 166 hours at a minimum cost of 113 Naira for maintaining the machine per cycle time with 96% availability, 94% reliability and 0.07% chance of failure occurrence in the machine.

Predicting the Failure Probability and Reliability Based Design, Optimization for Pipelines

2017 ◽  
Author(s):  
Shabbir Memon ◽  
Obaidur Rahman Mohammed ◽  
Hamid Roozbahani ◽  
Hamid M. Lankarani
Keyword(s):  
Life Cycle ◽  
Prediction Model ◽  
Failure Probability ◽  
Life Cycle Cost ◽  
Failure Prediction ◽  
Probability Of Failure ◽  
Maintenance Cost ◽  
Corrosion Rates ◽  
Reliability Based Design ◽  
Pipeline Failure

A probabilistic model is developed in this study for calculating the failure probability and finding the associated reliability for a given pipeline in a plant affected by the time-dependent failure by corrosion. This is accomplished by applying a probabilistic approach to the Shell-92 pipeline failure prediction model. The Monte Carlo simulation scheme is used to predict the probability of failure. The life cycle cost is also estimated based on predicted probability density function, which shows that failure cost is dominating the maintenance cost in overall life cycle cost. A sensitivity analysis is also carried out to investigate the influence of corrosion parameters on the probability of failure which reflects the effect of axial-radial corrosion rates and depth-length of corrosion defect on failure probability. At the end, optimized corrosion rates are also predicted using the reliability based design and optimization (RBDO) technique, in which the probabilistic constraint has been utilized based on the Shell-92 pipeline failure prediction model.

scholarly journals Penentuan Interval Waktu Perawatan Mesin Blowing dan Mesin Filling Menggunakan Teori Reliability dan Model Age Replacement (Studi Kasus pada PT. XYZ)

2020 ◽  
Vol 22 (2) ◽  
pp. 1-12
Author(s):  
Endang Prasetyaningsih ◽  
Ilyas Ruchiyat ◽  
Chaznin R. Muhammad
Keyword(s):  
Engine Performance ◽  
Maintenance Cost ◽  
Time Interval ◽  
Time Intervals ◽  
Machine Reliability ◽  
Maintenance Time ◽  
Replacement Model ◽  
Age Replacement ◽  
Engine Maintenance ◽  
Engine Reliability

Engine performance will decrease when it is operated continuously so that maintenance is needed. Improper maintenance time intervals can reduce engine reliability and still causes machine damage suddenly. Therefore, maintenance time intervals must be determined precisely. This study aims to determine the engine maintenance time intervals using Reliability Theory and Age Replacement Model, then calculate the total maintenance cost. The result shows that the application of new maintenance time interval increases machine reliability.

scholarly journals Probabilistic optimization of fatigue maintenance for welded components in steel bridges based on LEFM and LCCM

2018 ◽  
Vol 38 (2) ◽  
pp. 166-174 ◽  
Author(s):  
Yong Zeng ◽  
Hongmei Tan ◽  
Dahan Chen
Keyword(s):  
Life Cycle ◽  
Life Cycle Cost ◽  
Steel Structures ◽  
Steel Bridges ◽  
Maintenance Cost ◽  
Optimal Time ◽  
Maintenance Optimization ◽  
Time Interval ◽  
Optimization Strategy ◽  
Inspection Cost

In this paper a probabilistic-based method for fatigue maintenance optimization of steel bridge’s welded joints, combined with linear elastic fracture mechanics (LEFM), the structure reliability, and life cycle cost method(LCCM) is proposed. The probabilistic analysis method can be used with the fatigue maintenance of steel bridges. Weld cracks are classified by its size and maintenance decisions, and are made according to its size classification. Maintenance cost is divided into inspection, repair and failure costs, according to the life cycle cost method. The maintenance optimization strategy is transformed to minimize the expected lifetime total costs with the constraints of the minimum acceptable reliability index to attain the most cost-optimal inspection and repair for the balanced costs between risk and safety. An example concerning the transverse stiffeners of welded components in the main girder of suspension bridge is investigated through the research of some parameters sensitivity. Among all the parameters, the inspection cost is the most remarkable. The optimal time interval of repair will delay based on the increase of the inspection cost. The optimal time interval of repair will advance based on the increase of repair cost. A discount rate can drastically change the value of the total cost, but when the probability of failure is very small, the increase of failure cost has little effect on the optimal time interval of repair. The method presented in this paper can be conducted using the similar maintenance of steel structures.

scholarly journals A Study on the Predictive Maintenance Method of Fully Mechanized Mining Equipment based on Cost and Time Factors

2021 ◽  
Author(s):  
Xiangang Cao ◽  
Tianbo Xu ◽  
Youjun Zhao ◽  
Jiangbin Zhao ◽  
Yan Wang
Keyword(s):  
Time Factors ◽  
Predictive Maintenance ◽  
Maintenance Cost ◽  
Maintenance Planning ◽  
Mining Equipment ◽  
Cost Rate ◽  
Maintenance Time ◽  
Maintenance Cycle ◽  
Optimal Maintenance ◽  
Single Objective

Abstract In view of the problems of excessive maintenance and insufficient utilization of equipment service life caused by preventive maintenance of fully mechanized mining equipment with fixed cycle, a predictive maintenance method is proposed. Firstly, based on Weibull distribution function and evolution rules of equipment decay, the evolution model of equipment failure rate is established; Then, the single-objective decision-making models of equipment maintenance cost rate and maintenance downtime rate are established respectively. On this basis, the multi-objective predictive maintenance planning model of fully mechanized mining equipment with comprehensive cost and time factors is established, and the optimal predictive maintenance cycle planning sequence is obtained. Combined with the coal production continuation plan, this paper puts forward a method to determine the optimal maintenance time by making suitable choices between advance maintenance and delay maintenance. The result confirms the effectiveness and superiority of the proposed method.

Life-Cycle Cost Evaluation of Bridge Structures Considering Seismic Risk

2007 ◽  
pp. 231-247
Author(s):  
Hitoshi Furuta ◽  
Kazuhiro Koyama
Keyword(s):  
Life Cycle ◽  
Natural Hazards ◽  
Seismic Risk ◽  
Life Cycle Cost ◽  
Cost Evaluation ◽  
Maintenance Cost ◽  
Life Cycle Cost Analysis ◽  
Maintenance Program ◽  
Bridge Structures ◽  
Optimal Maintenance

This chapter introduces a life-cycle cost (LCC) analysis of bridge structures considering seismic risk. Recently, LCC has been paid attention as a possible and promising method to achieve a rational maintenance program. In general, LCC consists of initial cost, maintenance cost, and renewal cost. However, when considering LCC in the region that often suffers from natural hazards such as typhoons and earthquakes, it is necessary to account for the effects of such natural hazards. Using the probability of damage occurrence, LCC can be calculated for the bridge structures with earthquake excitations. The LCC analysis method proposed in this chapter can be applied to optimal maintenance planning by using genetic algorithms and can be extended to the life-cycle cost analysis of road network.

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