Probabilistic optimal safety with minimum life-cycle cost based on stochastic finite element analysis of steel cable-stayed bridges

Han, Sung-Ho; Lee, Woo-Sang; Bang, Myung-Seok

doi:10.1007/s13296-011-3008-9

Cited by 9 publications

(8 citation statements)

References 25 publications

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“…The methodology allows to account for various costs, including those related to construction, inspection, maintenance, retrofits, and disposal. [12][13][14][15] LCCA was extensively used to optimize bridge designs, [16][17][18][19][20][21][22] identify optimal retrofitting solutions, 23,24 evaluate the performance of supplemental damping systems, 25,26 account for material degradation, [27][28][29] and assess optimal bridge maintenance decisions. [30][31][32] LCCA was also proposed to quantify costs and benefits of bridges equipped with SHM systems.…”

Section: Introductionmentioning

confidence: 99%

Life-cycle management cost analysis of transportation bridges equipped with seismic structural health monitoring systems

Torti

Venanzi

Laflamme

et al. 2021

Structural Health Monitoring

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Life-cycle cost analysis is an approach that has gained popularity for assisting the design of civil infrastructures. The life-cycle cost analysis approach can be leveraged for structures equipped with structural health monitoring systems in order to quantify the benefits of the technology and de facto support its long-term implementation. However, for new structures, the long-term assessment of the expected value of the total investment cost, in terms of the current worth at the design time, is still the focus of ongoing research due to unknowns and uncertainties on the impact of the structural health monitoring system on long-term structural performance. This article proposes a new combined model of life-cycle cost formulation and simulation methodology for the long-term financial assessment of transportation bridges equipped with seismic structural health monitoring systems, in order to evaluate the total costs and benefits offered by such monitoring systems for post-seismic assessments. The formulation characterizes the time evolution of bridge management cost terms, highlighting the most sensitive parameters. The simulation methodology allows to quantitatively weigh each maintenance action on the total cost based on when the action is performed. The model is used to compare structures managed by the traditional approach of post-earthquake inspection versus those managed by a condition-based approach enabled by structural health monitoring systems. The originality of the model empowers the comparison by payback time, defined as the break-even point between costs and benefits of a structural health monitoring system, as well as by economic gain, defined as the difference between the total costs of an unmonitored versus a monitored structure through the end of service life. The proposed model is demonstrated through parametric analyses on a case study consisting of a continuous steel-concrete composite bridge, where the structural health monitoring system is used to monitor the elastic limit state condition of bending forces in piers during the earthquake.

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Section: Introductionmentioning

confidence: 99%

Life-cycle management cost analysis of transportation bridges equipped with seismic structural health monitoring systems

Torti

Venanzi

Laflamme

et al. 2021

Structural Health Monitoring

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“…Indeed, the failure probability has to be computed for several structural elements and for numerous limit states, accounting for a large number of uncertainties and load conditions. Life-cycle cost has been used to optimize structural solutions and bridge design [17][18][19][20][21][22][23][24][25][26], to optimize retrofitting solutions [27], or in order to optimize bridge management and the maintenance program [28][29][30][31][32]. Deterioration of the materials is also typically included, by considering time-variant strength degradation models [1,[33][34][35][36][37][38][39].…”

Section: Introductionmentioning

confidence: 99%

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

Venanzi

Castellani²,

Ierimonti

et al. 2019

Advances in Civil Engineering

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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.

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“…The problems of reliability and optimization were simplified to be a series of deterministic problems, and then the algorithm was demonstrated by a single span adhesive bonded steel–concrete composite beam with different loading cases . Stochastic finite element analysis was applied to assess the probabilistic safety and optimal design of steel cable‐stayed bridges …”

Section: Introductionmentioning

confidence: 99%

“…15 Stochastic finite element analysis was applied to assess the probabilistic safety and optimal design of steel cable-stayed bridges. 16 Most civil engineering structures such as trusses are indeterminate in nature, thus, failure of a single component may not lead to failure of the entire structure. In other words, multiple failure modes and failure sequences should be considered in statically indeterminate structural optimization.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Method for Structural System Reliability-Based Design Optimization and its Application to Trusses

Liu

Yin

2015

Qual. Reliab. Engng. Int.

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Most research studies on structural optimum design have focused on single‐objective optimization of deterministic structures, while little study has been carried out to address multi‐objective optimization of random structures. Statistical parameters and redundancy allocation problems should be considered in structural optimization. In order to address these problems, this paper presents a hybrid method for structural system reliability‐based design optimization (SRBDO) and applies it to trusses. The hybrid method integrates the concepts of the finite element method, radial basis function (RBF) neural networks, and genetic algorithms. The finite element method was used to compute structural responses under random loads. The RBF neural networks were employed to approximate structural responses for the purpose of replacing the structural limit state functions. The system reliabilities were calculated by Monte Carlo simulation method together with the trained RBF neural networks. The optimal parameters were obtained by genetic algorithms, where the system reliabilities were converted into penalty functions in order to address the constrained optimization. The hybrid method applied to trusses was demonstrated by two examples which were a typical 10‐bar truss and a steel truss girder structure. Detailed discussions and parameter analysis for the failure sequences such as web‐bucking failure and beam‐bending failure in the SRBDO were given. This hybrid method provides a new idea for SRBDO of trusses. Copyright © 2015 John Wiley & Sons, Ltd.

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Probabilistic optimal safety with minimum life-cycle cost based on stochastic finite element analysis of steel cable-stayed bridges

Cited by 9 publications

References 25 publications

Life-cycle management cost analysis of transportation bridges equipped with seismic structural health monitoring systems

Life-cycle management cost analysis of transportation bridges equipped with seismic structural health monitoring systems

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

A Hybrid Method for Structural System Reliability-Based Design Optimization and its Application to Trusses

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