scholarly journals An Automated Procedure for Assessing Local Reliability Index and Life-Cycle Cost of Alternative Girder Bridge Design Solutions

2019 ◽  
Vol 2019 ◽  
pp. 1-17 ◽  
Author(s):  
Ilaria Venanzi ◽  
Riccardo Castellani ◽  
Laura Ierimonti ◽  
Filippo Ubertini

Stakeholders of civil infrastructures have to usually choose among several design alternatives in order to select a final design representing the best trade-off between safety and economy, in a life-cycle perspective. In this framework, the paper proposes an automated procedure for the estimation of life-cycle repair costs of different bridge design solutions. The procedure provides the levels of safety locally guaranteed by the selected design solution and the related total life-cycle cost. The method is based on the finite element modeling of the bridge and uses design traffic models as suggested by international technical standards. Both the global behavior and the transversal cross section of the bridge are analyzed in order to provide local reliability indexes. Several parameters involved in the design, such as geometry and loads and materials’ characteristics, are considered as uncertain. Degradation models are adopted for steel carpentry and rebars. The application of the procedure to a road bridge case study shows its potential in providing local safety levels for different limit states over the entire lifetime of the bridge and the life-cycle cost of the infrastructure, highlighting the importance of the local character of the life-cycle cost analysis.

2008 ◽  
Vol 385-387 ◽  
pp. 845-848
Author(s):  
Moe M.S. Cheung ◽  
Kevin K.L. So ◽  
Xue Qing Zhang

This paper proposes a life-cycle cost (LCC) management methodology that integrates corrosion deterioration and fatigue damage mechanisms. This LCC management methodology has four characterized features: (1) corrosion deterioration and fatigue damage models are used to predict the time when the pre-defined limits are reached; (2) the performance of the steel girder is measured by condition state sets in which deflection, moment and shear capacities and fatigue strength limits are considered altogether; (3) the cost-effectiveness of management strategies are measured by the performance improvement per unit of money spent; and (4) the LCC model includes initial design/construction cost, inspection cost, maintenance cost, repair/rehabilitation cost and failure cost. A steel girder bridge is used as an example to demonstrate the application of the proposed LCC management methodology.


2019 ◽  
Vol 10 (4) ◽  
pp. 75
Author(s):  
Md. Shafiqul Islam ◽  
Shayla Sharmin ◽  
Jebunnesa Islam

At present, many road authorities in the world face challenges in condition monitoring diagnosis of distress and forecasting deterioration, strengthening and convalescence of aging bridge structures. The accurate prediction of the future condition is crucial for optimizing the maintenance activities. It is very tough to predict the actual performance scenario or actual in–situ structures without carrying out inspection. Limited availability of detailed inspection data is considered as one of the major drawbacks in developing deterioration models. In State Based Markov deterioration (SNMD) modelling, the main job is to estimate transition probability matrixes (TPMs). In this paper, Markov Chain Monte Carlo (MCMC) is used to estimate TPMs. In Markov Chain Model, future conditions depend on only present bridge inspection data. Multiple repair options are adopted in order to optimize life cycle cost. Repairs are needed when the critical chloride concentration exceeds 0.2. Three distinct types of cost corresponding to each repair option is considered. The objective of this paper is to minimize the life cycle cost considering appropriate repair timings of mixed repair methods. Variation of life cycle cost of five different concretes (stronger to weaker) using three different repair option is shown in this paper. For specific normalized condition of concrete’s failure probability (0.3) and specific type of concrete, variation of life cycle cost using multiple repair options is also shown in this paper.


Metals ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 1527
Author(s):  
Mathilda Karlsson Hagnell ◽  
Mansoor Khurshid ◽  
Malin Åkermo ◽  
Zuheir Barsoum

Fatigue strength dictates life and cost of welded structures and is often a direct result of initial manufacturing variations and defects. This paper addresses this coupling through proposing and applying the methodology of predictive life-cycle costing (PLCC) to evaluate a welded structure exhibiting manufacturing-induced variations in penetration depth. It is found that if a full-width crack is a fact, a 50% thicker design can result in life-cycle cost reductions of 60% due to reduced repair costs. The paper demonstrates the importance of incorporating manufacturing variations in an early design stage to ensure an overall minimized life-cycle cost.


2019 ◽  
Vol 7 (8) ◽  
pp. 280 ◽  
Author(s):  
Paola Gualeni ◽  
Giordano Flore ◽  
Matteo Maggioncalda ◽  
Giorgia Marsano

Ships are among the most complex systems in the world. The always increasing interest in environmental aspects, the evolution of technologies and the introduction of new rule constraints in the maritime field have compelled the innovation of the ship design approach. At an early design stage, there is the need to compare different design solutions, also in terms of environmental performance, building and operative costs over the whole ship life cycle. In this context, the Life Cycle Performance Assessment (LCPA) tool allows an integrated design approach merging the evaluation of both costs and environmental performances on a comparative basis, among different design solutions. Starting from the first tool release, this work aims to focus on the maintenance of the propulsion system, developing a flexible calculation method for maintenance costs prediction, based on the ship operational profiles and the selected technical solution. After the improvement, the whole LCPA tool has been applied on a research vessel to evaluate, among different propulsion layout solutions, the one with the more advantageous performance in terms of costs during the whole vessel operating life. The identification of the best design solution is strictly dependent on the selection criterion and the point of view of the interested parties using the LCPA tool, e.g., the shipbuilder or the ship-owner.


2018 ◽  
Vol 4 (3) ◽  
pp. 20
Author(s):  
Muhammad Luqman Nur Rouf Arifin ◽  
Teuku Faisal Fathani ◽  
Henricus Priyosulistyo

ABSTRAKKawasan karst Gunungsewu yang terbentang dari Kabupaten Gunung Kidul, Wonogiri hingga Pacitan memiliki banyak lembah kering dan mengalami kelangkaan air permukaan. Kekeringan melanda saat musim kemarau datang, sedangkan pada saat musim penghujan, umumnya air ditampung di penampungan air hujan (PAH) sederhana. Adanya program Pengangkatan Air Tenaga Surya (PATS) di beberapa lokasi di Kawasan karst Gunungsewu telah berhasil membantu warga dalam mengurangi masalah kekeringan. Penelitian ini menganalisis biaya hidup aset infrastruktur pengangkatan air baku menggunakan energi terbarukan (PATS) dan Pengangkatan Air Tenaga Diesel (PATD) di daerah karst. Lokasi yang dipilih adalah di Dusun Banyumeneng, Kabupaten Gunung Kidul yang mulai beroperasi tahun 2016. Analisis biaya hidup aset meliputi biaya awal, biaya perawatan dan perbaikan, biaya penggantian komponen dan biaya penghapusan. Hasil analisis nilai kini aset menunjukkan bahwa nilai pada akhir umur layan PATS Banyumeneng sebesar (+)Rp66.240.298,00 untuk penggunaan energi surya, dan (-)Rp30.997.539,00 untuk penggunaan energi diesel. Nilai positif pada hasil analisis biaya hidup aset PATS menunjukkan bahwa infrastruktur PATS Banyumeneng menguntungkan secara ekonomi untuk dibangun dan beroperasi menggunakan tenaga surya.Kata kunci: biaya hidup aset, pengangkatan air tenaga surya, pengangkatan air tenaga diesel, nilai kini asset, karst Gunungsewu ABSTRACTThe Gunungsewu karst area which stretches from Gunung Kidul Regency, Wonogiri to Pacitan has many dry valleys and experiences a scarcity of surface water. Drought occurs when the dry season comes, while during the rainy season, water is generally stored in simple rainwater storage (PAH). The existence of a Solar Water Pumping System (PATS) in several locations in the Gunungsewu karst area has succeeded in helping residents in reducing drought problems. This study analyzes the life cycle cost of water supply infrastructure using renewable energy technology (PATS) and diesel technology (PATD) in the karst area. The chosen location was in Banyumeneng Hamlet, Gunung Kidul Regency which began operations in 2016. Analysis of life cycle cost includes initial costs, maintenance and repair costs, replacement costs and salvage value. Present value of assets show that the value at the end of the service life of PATS Banyumeneng is (+)Rp66,240,298.00 for the use of solar energy, and (-)Rp 30,997,539.00 for the use of diesel energy. The positive value on the results of the PATS life cycle cost analysis shows that the PATS Banyumeneng infrastructure is economically profitable to build and operate.Keywords: life cycle cost, solar water pumping system, diesel powered water pumping system, present value of asset, Gunungsewu karst area


2010 ◽  
Vol 10 (2) ◽  
pp. 115-129 ◽  
Author(s):  
Sang-Hyo Kim ◽  
Jun-Hwan Kim ◽  
Chi-Young Jung ◽  
Jin-Hee Ahn

Author(s):  
Bora Gencturk ◽  
Amr S. Elnashai

The life-cycle cost (LCC) of a structure in seismic regions, which includes the initial and the post-earthquake repair cost, is a critical parameter for structural engineers and other stakeholders. The LCC analysis has been gaining prominence in recent years since civil infrastructure sustainability has been identified as one of the grand challenges for engineering in the 21st century. The objective of this chapter is to first identify the components in LCC evaluation that directly affect the outcomes, and propose strategies to improve the reliability of the analysis. The shortcomings of existing studies on LCC optimization of structures are identified. These shortcomings include simplified analysis techniques to determine the structural capacity and earthquake demand, use of generalized definitions for structural limit states, and inadequacies in treating uncertainty. In the following, the problem formulation and a brief review of existing literature on LCC optimization of structures are provided. A LCC model is presented, and techniques are proposed to improve the above mentioned shortcomings. Finally, LCC analysis of an example reinforced concrete (RC) structure is employed to illustrate the methodology.


Author(s):  
Laxman Yadu Waghmode ◽  
Anil Dattatraya Sahasrabudhe

The objective of this paper is to provide some useful insights on how cost driving events are related to the characteristics of failure distributions and the product lifetime (design life) in case of repairable systems. Repairable systems are those that can be restored to their fully operational capabilities by any method, other than the replacement of the entire system. In case of repairable systems, the components can be repaired or adjusted rather than replaced, whenever a breakdown occurs and thus such systems experience multiple failures over their life span. For majority of repairable systems, the life time maintenance and repair costs dominate the life cycle cost. To predict the maintenance and repair cost, failure data, maintenance data and repair time data is needed which is not readily available at the system design stage. When a repairable system is put into service, how many times it will fail over its life span depends on its reliability. Similarly, how fast the system is restored to its working condition when it fails (maintainability), also affect the costs incurred. Thus, the expected number of failures, time lost in restoring the system after each failure and cost per failure are important from life time maintenance cost prediction viewpoint. The expected number of failures depends upon the time to failure distribution of the system components and the after repair state of the system. In this paper, a modeling methodology is suggested for prediction of life time maintenance and repair cost of repairable systems based on expected number of failures. The repairable system lifetime is modeled using a two parameter Weibull distribution. The expected number of failures are estimated for renewal process (as-good-as-new after repair state) and minimal repair process (as-bad-as-old after repair state). The expected maintenance and repair costs are also evaluated for six different failure distributions. The technique has been illustrated through a specific application, namely an industrial pump and the results are presented.


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