Time-dependent finite element reliability assessment of cast-iron water pipes subjected to spatio-temporal correlated corrosion process

Aryai, Vahid; Baji, Hassan; Mahmoodian, Mojtaba; Li, Chun‐Qing

doi:10.1016/j.ress.2020.106802

Cited by 30 publications

(15 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The first kind is developed for cylinder-like geometries (Papadopoulos & Papadrakakis, 2005;Schenk & Schuëller, 2003). It adopts another kind of coordinates, for example, the polar coordinates, so the correlation function can also be prescribed explicitly; see Aryai et al (2020) for an example that generates the random field of the corrosion over water pipes. The second kind takes advantage of the finite element mesh and approximates the random field for each local element (Sachdeva et al, 2007;Shang & Yun, 2013).…”

Section: Introductionmentioning

confidence: 99%

Random fields representation over manifolds via isometric feature mapping‐based dimension reduction

Feng

Liang

Ren

et al. 2021

Computer aided Civil Eng

View full text Add to dashboard Cite

Generating random fields over irregular geometries (e.g., two-dimensional (2D) manifolds embedded in the three-dimensional (3D) Euclidean space) is a great challenge because the geometry structure is complex and the correlation function can hardly be derived, thus the traditional methods, for example, spatial discretization methods or series expansion methods, cannot be directly adopted. To solve this issue, the present paper develops a two-stage strategy to simulate random fields over manifolds. The core idea is to map the manifolds into the 2D Euclidean space through Isometric feature mapping (Isomap), with which the geodesic distance between points in the mapped 2D Euclidean space and the original manifold space is kept as the same. Therefore, the correlation function can be readily derived and the conventional methods can be directly employed to generate random fields. To validate the proposed method, several different types of manifolds are dimensionally reduced to 2D planar domains, and the stochastic harmonic function method is used to generate the random fields. Finally, case studies on the stochastic finite element analysis of two different structures are also performed to demonstrate the applicability and efficiency of the proposed method.

show abstract

Section: Introductionmentioning

confidence: 99%

Random fields representation over manifolds via isometric feature mapping‐based dimension reduction

Feng

Liang

Ren

et al. 2021

Computer aided Civil Eng

View full text Add to dashboard Cite

show abstract

“…using FE-reliability methods) can be an overwhelming task, due to the huge computational burden of such an analysis and limitations of available software packages. An approach for dealing with this issue has been proposed by ( Aryai et al, 2020 ; Teixeira et al, 2013 ), where a pure probabilistic time-dependent Finite Element (FE) based reliability analysis was performed by using coupled MATLAB and ANSYS simulations. Applicability of such techniques for reliability assessment of large-scale systems, such as the intended system herein, is limited due to the huge computational cost of the FE-based reliability methods.…”

Section: Reliability Analysis Of the Integrated Systemmentioning

confidence: 99%

“… In many cases, the proper closed-form solution for the outcrossing rates is not available (e.g. for the case of non-normal stochastic processes or joint-outcrossing rates for system reliability analysis) ( Aryai et al, 2020 ; Li et al, 2016 ; Sudret, 2008 ; Jiang et al, 2017 ) Knowledge-based Methods Direct calculation of the failure probability from available failure databases using AI-based methods Variety of AI-based methods (machine learning and deep learning) Provide with very accurate predictions. Are easy to implement and can be used for any sort of limit-sate functions Requires large number of input data which is not readily available for real-world reliability problems.…”

Section: Reliability Analysis Of the Integrated Systemmentioning

confidence: 99%

“…This unrealistic approach applies to new operating structures, but it cannot assure the safety of the structure several years after its commissioning. Addressing this issue requires the incorporation of structural deterioration models together with the time-dependent reliability analysis methods, examples of which can be found in works of Aryai et al (2020) and Teixeira et al (2013) .…”

Section: Optimising Reliability Standardsmentioning

confidence: 99%

See 1 more Smart Citation

Reliability of multi-purpose offshore-facilities: Present status and future direction in Australia

Aryai

Abdussamie

Salehi

et al. 2021

Process Safety and Environmental Protection

Self Cite

View full text Add to dashboard Cite

Sustainable use of the ocean for food and energy production is an emerging area of research in different countries around the world. This goal is pursued by the Australian aquaculture, offshore engineering and renewable energy industries, research organisations and the government through the “Blue Economy Cooperative Research Centre”. To address the challenges of offshore food and energy production, leveraging the benefits of co-location, vertical integration, infrastructure and shared services, will be enabled through the development of novel Multi-Purpose Offshore-Platforms (MPOP). The structural integrity of the designed systems when being deployed in the harsh offshore environment is one of the main challenges in developing the MPOPs. Employing structural reliability analysis methods for assessing the structural safety of the novel aquaculture-MPOPs comes with different limitations. This review aims at shedding light on these limitations and discusses the current status and future directions for structural reliability analysis of a novel aquaculture-MPOP considering Australia’s unique environment. To achieve this aim, challenges which exist at different stages of reliability assessment, from data collection and uncertainty quantification to load and structural modelling and reliability analysis implementation, are discussed. Furthermore, several solutions to these challenges are proposed based on the existing knowledge in other sectors, and particularly from the offshore oil and gas industry. Based on the identified gaps in the review process, potential areas for future research are introduced to enable a safer and more reliable operation of the MPOPs.

show abstract

“…The MCS method is used in the references [3,6,11,16,17,21,[30][31][32][33] to assess the probabilistic safety of concrete dams. In some studies, the evaluation of the failure functions (FF) has been obtained by analytical formulation [3,6,16,18,32,33] and in others; the finite element (FE) analysis method has been used [5,7,10,[13][14][15]17,25,26,29,30]. Different FF have been assigned to the safety assessment of concrete gravity dams as a system in various investigations [3,9,10,11,[15][16][17]25,32].…”

Section: Introductionmentioning

confidence: 99%

Reliability Assessment and Sensitivity Analysis of Concrete Gravity Dams by Considering Uncertainty in Reservoir Water Levels and Dam Body Materials

Pouraminian

Pourbakhshian

Farsangi

2020

Civil and Environmental Engineering Reports

View full text Add to dashboard Cite

An elaborate safety assessment of the Pine Flat (PF) concrete gravity dam (CGD) has been conducted in this paper. Structural analysis was performed by taking into account the uncertainties in the physical and mechanical properties of the dam body materials and the reservoir water level. The coefficient of variation of 5 and 10 percent and the Gaussian distribution (GAUS) are assigned to random variables (RVs). Sensitivity analysis (SA) of the RVs is done, and important parameters introduced. SA is done to identify the most influential RVs on the structural response. Also, the modulus of elasticity of concrete is the most effective parameter in response to horizontal deformation of the dam crest. The concrete density and US hydrostatic pressure height are the most effective parameters, and the Poisson's ratio is the insignificant parameter on the dam response. To be confident in the safety of the dam body under usual loading, including the dam weight and the upstream (US) hydrostatic pressure, the reliability index (RI) has been obtained by Monte Carlo simulation. The RI for the coefficients of variation of 5 and 10 percent were obtained at 4.38 and 2.47, respectively. If the dispersion of RVs is high, then the dam will be at risk of failure.

show abstract

Time-dependent finite element reliability assessment of cast-iron water pipes subjected to spatio-temporal correlated corrosion process

Cited by 30 publications

References 15 publications

Random fields representation over manifolds via isometric feature mapping‐based dimension reduction

Random fields representation over manifolds via isometric feature mapping‐based dimension reduction

Reliability of multi-purpose offshore-facilities: Present status and future direction in Australia

Reliability Assessment and Sensitivity Analysis of Concrete Gravity Dams by Considering Uncertainty in Reservoir Water Levels and Dam Body Materials

Contact Info

Product

Resources

About