The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Dan M. Frangopol - One of the best experts on this subject based on the ideXlab platform.
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Life Cycle Cost evaluation of conventional and corrosion resistant steel for bridges
Journal of Bridge Engineering, 2015Co-Authors: Mohamed Soliman, Dan M. FrangopolAbstract:AbstractSteel bridges that are under severe chloride exposure due to deicing salts or marine environmental effects require frequent maintenance and repair activities to extend their service Life and maintain an adequate performance level. In addition to the direct maintenance Cost, these maintenance actions may lead to indirect Costs associated with traffic delays and environmental effects that can significantly increase the Life-Cycle Cost of the bridge under consideration. The use of more sustainable materials, such as maintenance-free steel, may increase the initial Cost of the structure; however, the Life-Cycle Cost, including the maintenance actions during the service Life and their associated indirect effects, can be significantly reduced. This paper presents the computational approach and results of an analytical investigation to quantify the Life-Cycle Cost of a steel bridge constructed using conventional painted carbon steel and to compare this Cost to that of the same bridge constructed using ma...
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Cost reliability interaction in Life Cycle Cost optimization of deteriorating structures
Journal of Structural Engineering-asce, 2004Co-Authors: Jung Sik Kong, Dan M. FrangopolAbstract:Life-Cycle Cost analysis of deteriorating structures has to consider not only time-varying resistance and loading affecting the reliability of these structures but also maintenance interventions applied during their Lifetime. Finding the optimum maintenance scenario for a deteriorating structure is a complex process involving the selection of maintenance interventions and their application times associated with minimum Life-Cycle Cost. There is a Cost relationship between maintenance intervention Cost and the effect of the intervention on system reliability. However, this relationship is not included in modern structural management systems since Costs of interventions are prescribed as fixed values independent on their effects on system reliability. Neglecting the interactions among maintenance interventions, their effects on structural performance, and corresponding Costs leads to significant limitations of modern management systems for civil infrastructures. In this article, maintenance intervention Cost is not considered to be fixed but evaluated dynamically by using Cost functions according to time-dependent variables related to the quality of intervention. The main advantages of using Cost functions are the flexibility and expandability required for general purpose reliability-based structure management systems. In fact, Cost functions can be used in any structure management system based on Life-Cycle Cost. A practical example is provided to show how to establish Cost functions of maintenance interventions and how these functions can be used to obtain the optimal Life-Cycle maintenance scenario.
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Life-Cycle Cost Analysis for Infrastructure Systems: Life-Cycle Cost vs. Safety Level vs. Service Life
Life-Cycle Performance of Deteriorating Structures, 2003Co-Authors: Hitoshi Furuta, Takahiro Kameda, Yoshiko Fukuda, Dan M. FrangopolAbstract:This paper will discuss the relationships among the minimization of Life-Cycle Cost (LCC), the optimal extension of structural service Life, and the target safety level by using the multi-objective genetic algorithm. The paper confirms that LLC, service Life and durability level have a trade-off relation and the multi-objective genetic algorithm proved to be a useful tool in finding an optimal maintenance plan.
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Life Cycle Cost analysis and design of civil infrastructure systems
2001Co-Authors: Dan M. Frangopol, Hitoshi FurutaAbstract:This book comprises most of the papers presented at the First US/Japan Workshop on Life-Cycle Cost Analysis and Design of Civil Infrastructure Systems, held in Honolulu, Hawaii, August 7-8, 2000, and several invited contributions, mostly from Europe. The 18 papers cover a wide range of studies on Life-Cycle Cost analysis, design, maintenance and management of civil infrastructure systems. Contributions are from a range of internationally recognized researchers and practicing structural engineers from the United States, Japan, and Europe. Topics include: conceptual design of structural systems; time-variant reliability of structures; structural health monitoring and symptom-based reliability; monitoring and testing for fatigue prediction; Lifetime reliability profiles for fatigue and corrosion; maintenance planning for road pavements and structures; maintenance planning of reinforced concrete decks; bridge management systems; optimized and conventional bridges; optimal planning of maintenance and inspection; Life-Cycle Cost assessment for bridge maintenance; specifications to aid Life-Cycle Cost analyses; maintenance Cost of deteriorating civil infrastructures; probabilistic models of Cost for management of existing structures; and user Cost and its applications to bridge management systems. This book will be invaluable to all concerned with Life-Cycle Costing of civil infrastructure systems.
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Life Cycle Cost design of deteriorating structures
Journal of Structural Engineering-asce, 1997Co-Authors: Dan M. Frangopol, Kaiyung Lin, Allen C EstesAbstract:A Lifetime optimization methodology for planning the inspection and repair of structures that deteriorate over time is introduced and illustrated through numerical examples. The optimization is based on minimizing the expected total Life-Cycle Cost while maintaining an allowable Lifetime reliability for the structure. This method incorporates: (a) the quality of inspection techniques with different detection capabilities; (b) all repair possibilities based on an event tree; (c) the effects of aging, deterioration, and subsequent repair on structural reliability; and (d) the time value of money. The overall Cost to be minimized includes the initial Cost and the Costs of preventive maintenance, inspection, repair, and failure. The methodology is illustrated using the reinforced concrete T-girders from a highway bridge. An optimum inspection/repair strategy is developed for these girders that are deteriorating due to corrosion in an aggressive environment. The effect of critical parameters such as rate of co...
Mark G Stewart - One of the best experts on this subject based on the ideXlab platform.
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Life Cycle Cost analysis of reinforced concrete structures in marine environments
Structural Safety, 2003Co-Authors: Mark G StewartAbstract:Chloride-induced corrosion of carbon steel reinforcement is the main cause of deterioration of reinforced concrete (RC) structures in marine environments. One of the ways to protect RC structures from corrosion is to use corrosion-resistant stainless steel reinforcing bars. However, stainless steel is between six and nine times more expensive than carbon steel. Thus, its use can only be justified on a Life-Cycle Cost basis. In the paper a time-variant probabilistic model was presented to predict expected Costs of repair and replacement which was then used to calculate Life-Cycle Costs for RC structures in marine environments under different exposure conditions. Results of the Life-Cycle Cost analysis can be applied to select optimal strategies improving durability of RC structures in marine environments, including the use of stainless steel reinforcement.
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reliability based assessment of ageing bridges using risk ranking and Life Cycle Cost decision analyses
Reliability Engineering & System Safety, 2001Co-Authors: Mark G StewartAbstract:Abstract Information about present and anticipated bridge reliabilities, in conjunction with decision models, provides a rational and powerful decision-making tool for the structural assessment of bridges. For assessment purposes, an updated reliability (after an inspection) may be used for comparative or relative risk purposes. This may include the prioritisation of risk management measures (risk ranking) for inspection, maintenance, repair or replacement. A Life-Cycle Cost analysis may also be used to quantify the expected Cost of a decision. The present paper will present a broad overview of the concepts, methodology and immediate applications of risk-based assessments of bridges. In particular, two practical applications of reliability-based bridge assessment are considered — risk ranking and Life-Cycle Cost analysis.
Yang Xu - One of the best experts on this subject based on the ideXlab platform.
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hydrogen station siting optimization based on multi source hydrogen supply and Life Cycle Cost
International Journal of Hydrogen Energy, 2017Co-Authors: Chaoming He, Siyun Lv, Haikun Wang, Yongqiang Zhang, Yang XuAbstract:Abstract Hydrogen station siting plays an important role in hydrogen-energy infrastructure construction, and it's different from gas station siting. A gas station has a unitary way of fuel transport and a unitary fuel supplier, hence no consideration given to factors like fuel supplier and way of fuel transport at the time of siting it. However, hydrogen for a hydrogen fueling station can be supplied jointly from a couple of different sources nearby. Since there is a diversity of hydrogen price and productivity between different sources, hydrogen fueling station siting also entails consideration of the effect of the proportions of hydrogen supplied by the sources on hydrogen's Life Cycle Cost. With the purpose of minimizing hydrogen's Life Cycle Cost, this paper creates a mathematical model for station siting, largely for the case that each station can get hydrogen supply from combined multiple sources, and considers the effect of geographical information factors on station siting. The effect of geographical information factors on such siting is described herein in two cases to avoid selecting a must-not-build location and rebuilding into a gasoline-hydrogen fueling station at an existing gas station location. The latter can reduce station construction and operating Costs. By creating a particle swarm optimization (PSO) example for station siting with Shanghai-Nanjing Expressway and constructing a position particle swarm in the form of 5D vector in order to optimize 5 station locations at the same time as well a weight particle swarm in the form of 2D matrix in order to optimize the multi-source hydrogen supply programs, the paper works out optimal station construction locations on condition of multi-source hydrogen supply, multi-source hydrogen supply programs, ways of storage and transport and corresponding hydrogen's optimal Life Cycle Cost.
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hydrogen refueling station siting of expressway based on the optimization of hydrogen Life Cycle Cost
International Journal of Hydrogen Energy, 2017Co-Authors: Chaoming He, Yang Xu, Siyun LvAbstract:Abstract Hydrogen-energy expressway system planning involves load prediction, hydrogen source planning and hydrogen station planning. Exemplary construction of a run-for-profit hydrogen-energy expressway must attach importance to comprehensive evaluation of the effect of investment. The paper analyzes current situation of hydrogen-energy expressway construction, points out that adequate consideration should be given in all aspects of hydrogen energy's Life Cycle Cost, such as hydrogen production, transport, storage, usage, CO2 disposal, carbon tax, hydrogen station's annual construction investment and annual operating expenses. The paper suggests that hydrogen made from discarded electricity of clean energies and hydrogen produced as byproduct during chemical plant production should be utilized to reduce production Cost. On the basis of hydrogen energy's Life Cycle Cost analysis, the paper creates a hydrogen station siting optimization model, with the constraints of hydrogen station's supply radius, hydrogen source's productivity and geographic information factor, so as to increase the applicability and level of hydrogen-energy expressway planning effectively.
Siyun Lv - One of the best experts on this subject based on the ideXlab platform.
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hydrogen station siting optimization based on multi source hydrogen supply and Life Cycle Cost
International Journal of Hydrogen Energy, 2017Co-Authors: Chaoming He, Siyun Lv, Haikun Wang, Yongqiang Zhang, Yang XuAbstract:Abstract Hydrogen station siting plays an important role in hydrogen-energy infrastructure construction, and it's different from gas station siting. A gas station has a unitary way of fuel transport and a unitary fuel supplier, hence no consideration given to factors like fuel supplier and way of fuel transport at the time of siting it. However, hydrogen for a hydrogen fueling station can be supplied jointly from a couple of different sources nearby. Since there is a diversity of hydrogen price and productivity between different sources, hydrogen fueling station siting also entails consideration of the effect of the proportions of hydrogen supplied by the sources on hydrogen's Life Cycle Cost. With the purpose of minimizing hydrogen's Life Cycle Cost, this paper creates a mathematical model for station siting, largely for the case that each station can get hydrogen supply from combined multiple sources, and considers the effect of geographical information factors on station siting. The effect of geographical information factors on such siting is described herein in two cases to avoid selecting a must-not-build location and rebuilding into a gasoline-hydrogen fueling station at an existing gas station location. The latter can reduce station construction and operating Costs. By creating a particle swarm optimization (PSO) example for station siting with Shanghai-Nanjing Expressway and constructing a position particle swarm in the form of 5D vector in order to optimize 5 station locations at the same time as well a weight particle swarm in the form of 2D matrix in order to optimize the multi-source hydrogen supply programs, the paper works out optimal station construction locations on condition of multi-source hydrogen supply, multi-source hydrogen supply programs, ways of storage and transport and corresponding hydrogen's optimal Life Cycle Cost.
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hydrogen refueling station siting of expressway based on the optimization of hydrogen Life Cycle Cost
International Journal of Hydrogen Energy, 2017Co-Authors: Chaoming He, Yang Xu, Siyun LvAbstract:Abstract Hydrogen-energy expressway system planning involves load prediction, hydrogen source planning and hydrogen station planning. Exemplary construction of a run-for-profit hydrogen-energy expressway must attach importance to comprehensive evaluation of the effect of investment. The paper analyzes current situation of hydrogen-energy expressway construction, points out that adequate consideration should be given in all aspects of hydrogen energy's Life Cycle Cost, such as hydrogen production, transport, storage, usage, CO2 disposal, carbon tax, hydrogen station's annual construction investment and annual operating expenses. The paper suggests that hydrogen made from discarded electricity of clean energies and hydrogen produced as byproduct during chemical plant production should be utilized to reduce production Cost. On the basis of hydrogen energy's Life Cycle Cost analysis, the paper creates a hydrogen station siting optimization model, with the constraints of hydrogen station's supply radius, hydrogen source's productivity and geographic information factor, so as to increase the applicability and level of hydrogen-energy expressway planning effectively.
Chaoming He - One of the best experts on this subject based on the ideXlab platform.
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hydrogen station siting optimization based on multi source hydrogen supply and Life Cycle Cost
International Journal of Hydrogen Energy, 2017Co-Authors: Chaoming He, Siyun Lv, Haikun Wang, Yongqiang Zhang, Yang XuAbstract:Abstract Hydrogen station siting plays an important role in hydrogen-energy infrastructure construction, and it's different from gas station siting. A gas station has a unitary way of fuel transport and a unitary fuel supplier, hence no consideration given to factors like fuel supplier and way of fuel transport at the time of siting it. However, hydrogen for a hydrogen fueling station can be supplied jointly from a couple of different sources nearby. Since there is a diversity of hydrogen price and productivity between different sources, hydrogen fueling station siting also entails consideration of the effect of the proportions of hydrogen supplied by the sources on hydrogen's Life Cycle Cost. With the purpose of minimizing hydrogen's Life Cycle Cost, this paper creates a mathematical model for station siting, largely for the case that each station can get hydrogen supply from combined multiple sources, and considers the effect of geographical information factors on station siting. The effect of geographical information factors on such siting is described herein in two cases to avoid selecting a must-not-build location and rebuilding into a gasoline-hydrogen fueling station at an existing gas station location. The latter can reduce station construction and operating Costs. By creating a particle swarm optimization (PSO) example for station siting with Shanghai-Nanjing Expressway and constructing a position particle swarm in the form of 5D vector in order to optimize 5 station locations at the same time as well a weight particle swarm in the form of 2D matrix in order to optimize the multi-source hydrogen supply programs, the paper works out optimal station construction locations on condition of multi-source hydrogen supply, multi-source hydrogen supply programs, ways of storage and transport and corresponding hydrogen's optimal Life Cycle Cost.
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hydrogen refueling station siting of expressway based on the optimization of hydrogen Life Cycle Cost
International Journal of Hydrogen Energy, 2017Co-Authors: Chaoming He, Yang Xu, Siyun LvAbstract:Abstract Hydrogen-energy expressway system planning involves load prediction, hydrogen source planning and hydrogen station planning. Exemplary construction of a run-for-profit hydrogen-energy expressway must attach importance to comprehensive evaluation of the effect of investment. The paper analyzes current situation of hydrogen-energy expressway construction, points out that adequate consideration should be given in all aspects of hydrogen energy's Life Cycle Cost, such as hydrogen production, transport, storage, usage, CO2 disposal, carbon tax, hydrogen station's annual construction investment and annual operating expenses. The paper suggests that hydrogen made from discarded electricity of clean energies and hydrogen produced as byproduct during chemical plant production should be utilized to reduce production Cost. On the basis of hydrogen energy's Life Cycle Cost analysis, the paper creates a hydrogen station siting optimization model, with the constraints of hydrogen station's supply radius, hydrogen source's productivity and geographic information factor, so as to increase the applicability and level of hydrogen-energy expressway planning effectively.
