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

Venanzi, Ilaria; Castellani, Riccardo; Ierimonti, Laura; Ubertini, Filippo

doi:10.1155/2019/5152031

Cited by 8 publications

(14 citation statements)

References 67 publications

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“…Ketzenberg, Gaukler and Salin (2018) addressed the problem of how to set expiration dates for perishable products to balance hazard costs and perishing costs in the context of a retailer that sells a random lifespan product under periodic review [22]. In order to select a final design representing the best trade-off between safety and economy, in a life-cycle perspective, Venanzi et al (2019) proposed an automated procedure for the estimation of lifecycle repair costs of different bridge design solutions [23].…”

Section: Total Cost Assessment With the Consideration Of Lifespanmentioning

confidence: 99%

Optimal Machine Stopping Time and Ordering Cycle for Parts to Minimize the Total Cost of a Supply Chain

Cao

Sarker

2021

IEEE Access

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Many parts or components in a facility are sometime vulnerable to failure causing downtime and production loss. So, in order to decrease the downtime, parts of the same type that follow the same lifespan distribution need to be replaced at least once to minimize the cost of unscheduled labor and the damages to the products. A decision on replacing all such vulnerable parts decreases the total cost including penalty cost, purchasing cost and holding cost. Different preempt times of a machine result in different purchasing quantity, procurement cost and carrying costs. So, a rational decision of allowable stopping time of a machine and order cycle for vulnerable parts jointly minimizes the total cost of supply chain. This study proposes a novel model to minimize the total cost for the vulnerable parts which have joint influence on machine performance. An integrated nonlinear cost model developed here is optimally solved and tested with several different distributions. Strong results are propounded to support the proposed model in terms of manufacturing time and system cost.INDEX TERMS Tool life, condition monitoring, preventive maintenance, allowable stopping time, procurement, operations planning and probabilistic models.

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Section: Total Cost Assessment With the Consideration Of Lifespanmentioning

confidence: 99%

Optimal Machine Stopping Time and Ordering Cycle for Parts to Minimize the Total Cost of a Supply Chain

Cao

Sarker

2021

IEEE Access

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“…(2-3). The initial cost C0 is taken from design documentation [12]. The maintenance cost Cm is considered as a percentage of the initial cost of the bridge.…”

Section: Life-cycle Cost Analysismentioning

confidence: 99%

“…[3]. Several studies have addressed the problem of evaluating the expected life cycle cost of structures [4,5,6], including design applications of the main structure [7] and/or auxiliary damping systems [8,9,10], which is related to the probability of failure calculated through the PEER convolution integral [11] or through a reliability analysis based on the calculation of the reliability index [12].…”

Section: Introductionmentioning

confidence: 99%

Towards the Development of a Comprehensive Framework for Life Cycle Cost Analysis of Bridges Subjected to Multiple Hazards

Sacconi¹,

Ierimonti²,

Venanzi³

et al. 2021

Proceedings of the 8th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COM

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Life-cycle cost analysis (LCCA) is used as a decision-making tool in the design phase to predict the expenses required over the lifetime of the bridge. The application of LCCA to bridges allows to consider different types of uncertainties such as those on loads, resistances, degradation and on the numerical modelling and structural response analysis. In this context, the present paper proposes a general framework for bridges' LCCA under multiple hazards based on the use of the PEER equation. It allows to account for the random nature of hazards and for structural and modelling uncertainties, considering in a unified manner different hazards concurring to damage occurrence. The approach is for the first time applied to cost and fragility analysis of bridges subjected to fatigue, highlighting the possibility of treating the problem of fatigue damage estimation with an approach similar to the one currently adopted for damage induced by other hazards, like earthquake and wind. Starting from the knowledge of the traffic load model, the gross vehicles weight is assumed as intensity measure (IM) and a fatigue damage index calculated through the Palmgren-Miner's rule is adopted as engineering demand parameter (EDP). The damage accumulation is evaluated by considering the time dependency of the fatigue damage index. The framework is applied to the case study of a composite steel-reinforced concrete multi-span roadway bridge located in central Italy. The evolution over time of the probability of failure and the life-cycle costs due to fatigue damage induced by heavy traffic loads are investigated.

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“…e reason is that the assessment process is dependent of subjective judgment of human technicians [2,3]. erefore, project owners are increasingly seeking for fast, effective, and consistent tools to better structure condition assessment [19][20][21][22][23][24]. e assessment outcomes can also enhance communication between various stakeholders regarding the condition of the buildings.…”

Section: Research Backgroundmentioning

confidence: 99%

A Novel Approach for Automatic Detection of Concrete Surface Voids Using Image Texture Analysis and History‐Based Adaptive Differential Evolution Optimized Support Vector Machine

Hoang

Nguyen

2020

Advances in Civil Engineering

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To inspect the quality of concrete structures, surface voids or bugholes existing on a concrete surface after the casting process needs to be detected. To improve the productivity of the inspection work, this study develops a hybrid intelligence approach that combines image texture analysis, machine learning, and metaheuristic optimization. Image texture computations employ the Gabor filter and gray-level run lengths to characterize the condition of a concrete surface. Based on features of image texture, Support Vector Machines (SVM) establish a decision boundary that separates collected image samples into two categories of no surface void (negative class) and surface void (positive class). Furthermore, to assist the SVM model training phase, the state-of-the-art history-based adaptive differential evolution with linear population size reduction (L-SHADE) is utilized. The hybrid intelligence approach, named as L-SHADE-SVM-SVD, has been developed and complied in Visual C#.NET framework. Experiments with 1000 image samples show that the L-SHADE-SVM-SVD can obtain a high prediction accuracy of roughly 93%. Therefore, the newly developed model can be a promising alternative for construction inspectors in concrete quality assessment.

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

Cited by 8 publications

References 67 publications

Optimal Machine Stopping Time and Ordering Cycle for Parts to Minimize the Total Cost of a Supply Chain

Optimal Machine Stopping Time and Ordering Cycle for Parts to Minimize the Total Cost of a Supply Chain

Towards the Development of a Comprehensive Framework for Life Cycle Cost Analysis of Bridges Subjected to Multiple Hazards

A Novel Approach for Automatic Detection of Concrete Surface Voids Using Image Texture Analysis and History‐Based Adaptive Differential Evolution Optimized Support Vector Machine

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