Structural optimization for performance-based design in earthquake engineering: Applications of neural networks

Möller, Oscar; Foschi, Ricardo O.; Quiroz, Laura; Rubinstein, Marcelo G.

doi:10.1016/j.strusafe.2009.06.007

Cited by 66 publications

(39 citation statements)

References 12 publications

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“…Annual probability of exceeding the given performance levels can be calculated for this structure using a Poisson arrival process for occurrence of earthquake [29] as:…”

Section: Numerical Studies and Discussionmentioning

confidence: 99%

The seismic performance reliability of reinforced concrete moment structures

Shahraki

Shabakhty

2015

Teh. vjesn.

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Original scientific paper In this paper, seismic performance reliability of reinforced concrete (RC) structures was evaluated based on response surface method using a systemic approach. In the systemic approach, limit state functions were applied at the structural component level and structure performance reliability index was calculated with a systemic approach through series and parallel combinations of structural components. The limit state functions were estimated through improved response surface method based on block sampling design of random variables. Numerical studies showed that the proposed systemic approach could calculate performance reliability indices at different damage levels from structural components while only one reliability index was evaluated through the overall approach for the given performance levels. The results indicated that performance reliability indices increased when the nonperformance scenarios were examined for high levels of components damage, and performance reliability indices of the overall approach corresponded to an interval including levels 2 and 3 of the systemic approach.Keywords: performance; reliability; response surface method; systemic approach Seizmička pouzdanost konstrukcija od armiranog betonaIzvorni znanstveni članak U ovom se radu procjenjuje pouzdanost seizmičkih karakteristika konstrukcija od armiranog betona (RC) na temelju response surface metode primjenom sustavnog pristupa. U sistemskom pristupu primijenjene su funkcije graničnog stanja na razini konstrukcijske komponente i izračunat je indeks pouzdanosti performanse konstrukcije sustavnim pristupom putem serijskih i paralelnih kombinacija konstrukcijskih komponenti. Proračunate su funkcije graničnog stanja poboljšanom metodom odziva površine na temelju slučajnih varijabli konstrukcije uzorka bloka. Numerička su proučavanja pokazala da se predloženim sustavnim pristupom mogu dobiti pokazatelji pouzdanosti performansi na različitim razinama oštećenja konstrukcijskih komponenti dok je samo jedan pokazatelj pouzdanosti procijenjen općim pristupom za zadane razine performansi. Rezultati su pokazali da su pokazatelji pouzdanosti performansi porasli kada su se ispitivali scenariji bez performance za visoke razine oštećenja komponenti, i pokazatelji pouzdanosti performansi kod općeg pristupa odgovarali su intervalu uključujući razine 2 i 3 sustavnog pristupa.

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“…Annual probability of exceeding the given performance levels can be calculated for this structure using a Poisson arrival process for occurrence of earthquake [29] as:…”

Section: Numerical Studies and Discussionmentioning

confidence: 99%

The seismic performance reliability of reinforced concrete moment structures

Shahraki

Shabakhty

2015

Teh. vjesn.

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“…The implementation of surrogate modeling in this setting can greatly enhance the efficiency of seismic risk assessment (Zhang and Foschi 2004;Buratti et al 2010), especially for studies examining design optimization (Möller et al 2009;Gidaris et al 2014). This implementation is discussed here considering applications where stochastic ground motion models are utilized to describe the excitation.…”

Section: Seismic Risk Assessment Through Stochastic Ground Motion Modmentioning

confidence: 99%

Natural Hazard Probabilistic Risk Assessment Through Surrogate Modeling

Taflanidis

Jia

Gidaris

2016

Multi-Hazard Approaches to Civil Infrastructure Engineering

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Assessment of risk under natural hazards is associated with a significant computational burden when comprehensive numerical models and simulation-based methodologies are involved. Despite recent advances in computer and computational science that have contributed in reducing this burden and have undoubtedly increased the popularity of simulation-based frameworks for quantifying/estimating risk in such settings, in many instances, such as for real-time risk estimation, this burden is still considered as prohibitive. This chapter discusses the use of kriging surrogate modeling for addressing this challenge. Kriging establishes a computationally inexpensive input/output relationship based on a database of observations obtained through the initial (expensive) simulation model. The upfront cost for obtaining this database is of course high, but once the surrogate model is established, all future evaluations require small computational effort. For illustration, two different applications are considered, involving two different hazards: seismic risk assessment utilizing stochastic ground motion modeling and real-time hurricane risk estimation. Various implementation issues are discussed, such as (a) advantages of kriging over other surrogate models, (b) approaches for obtaining high efficiency when the output under consideration is high dimensional through integration of principal component analysis, and (c) the incorporation of the prediction error associated with the metamodel into the risk assessment.

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“…Details on h(t) used and the calculation of the weight factors can be found in previous publications by the authors (Möller et al, 2009a(Möller et al, , 2012b. The training implies the optimization of the weights W so that the differences between the network predictions and the dynamic analysis results are minimized.…”

Section: Neural Network Approximations For the Responsesmentioning

confidence: 99%

“…The lognormal statistics for the peak ground acceleration a G , X(10) in Table 2, correspond to the seismicity for the city of Mendoza, Argentina (INPRES, 1995), and are calculated as shown by Möller et al (2009a), with an arrival rate n = 0.20 for earthquake magnitudes M > 5. For this city, the peak acceleration with a 10% exceedance probability in 50 years is a G = 0.6 g.…”

Section: Random Variables and Design Parametersmentioning

confidence: 99%

“…In this paper, expanding the previous work presented in Möller et al (2009a), we also incorporate in the objective the initial and damagerelated costs associated with non-structural elements and building contents. Furthermore, we include the social costs associated with injuries and fatalities, loss of economic activity and stocks, and cost of temporary facilities, as these costs are directly related to the risks and characteristics of the structure being optimized.…”

Section: Introductionmentioning

confidence: 99%

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Optimization for performance-based design under seismic demands, including social costs

Möller

Foschi

Ascheri

et al. 2015

Earthq. Eng. Eng. Vib.

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Performance-based design in earthquake engineering is a structural optimization problem that has, as the objective, the determination of design parameters for the minimization of total costs, while at the same time satisfying minimum reliability levels for the specifi ed performance criteria. Total costs include those for construction and structural damage repairs, those associated with non-structural components and the social costs of economic losses, injuries and fatalities. This paper presents a general framework to approach this problem, using a numerical optimization strategy and incorporating the use of neural networks for the evaluation of dynamic responses and the reliability levels achieved for a given set of design parameters. The strategy is applied to an example of a three-story offi ce building. The results show the importance of considering the social costs, and the optimum failure probabilities when minimum reliability constraints are not taken into account.

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Structural optimization for performance-based design in earthquake engineering: Applications of neural networks

Cited by 66 publications

References 12 publications

The seismic performance reliability of reinforced concrete moment structures

The seismic performance reliability of reinforced concrete moment structures

Natural Hazard Probabilistic Risk Assessment Through Surrogate Modeling

Optimization for performance-based design under seismic demands, including social costs

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