Showing papers in "Structural Safety in 2021"

TL;DR: The extensive and comprehensive discussion presented aims to be a first step for the unification of the field of adaptive metamodeling in reliability; so that future implementations do not exclusively follow individual lines of research that progressively become more narrow in scope, but also seek transversal developments in the field.

TL;DR: It is revealed that machine learning algorithms can perform a failure risk analysis of pipelines with greater computational efficiency than the physics-based approach and even the slowest machine learning algorithm is about 12 times faster than theysics-based model.

TL;DR: A state-of-the art review for the modelling and propagation of p-boxes with a special focus on structural reliability analysis is given.

TL;DR: This paper presents a quantitative study of the influence of the corrosion effect on the redundancy of RC structures and investigates the time-dependent reliability and redundancy of the structure.

TL;DR: In this paper, an adaptive approach for adjusting the important direction during the simulation has been proposed, termed advanced line sampling (ALS), which can be viewed as a combination of estimators, each one corresponding to a direction in the adaptive sequence.

TL;DR: In this article, the evolutionary tail-equivalent linearization method (ETELM) was proposed for nonlinear stochastic dynamic analysis, which is designed for the class of evolutionary processes.

TL;DR: In this article, an extended seismic damage assessment of unanchored nonstructural components by means of rigid block analysis is presented, where both real ground and floor motions are considered as loading histories, together with accelerogram inputs developed according to the latest protocols for shake table testing of (acceleration-sensitive) nonStructural components (AC156 and FEMA 461).

TL;DR: In this article, a probabilistic framework for estimating the structural capacity of corroded reinforced concrete (RC) structures using the observational corrosion-induced crack width distribution and machine learning is proposed.

TL;DR: Results indicate that collapse capacity is highly influenced by the strength modeling variables of beam as well as the ultimate rotation capacity of column components, and the Bayesian model inference approach is applied to account for the uncertainties in the created model.

TL;DR: In this paper, the S-transform is used to evaluate the response of the linear elastic single-degree-of-freedom (SDOF) system subjected to nonstationary stochastic excitation.

TL;DR: A methodology to quantify the sensitivity of the probability of failure estimator to both uncertainty sources and enables to control the whole error associated to the failure probability estimate and thus provides an accuracy criterion on the estimation is proposed.

TL;DR: A computational framework for OWT fatigue reliability analysis that relies on Gaussian process (GP) regression to build surrogate models of load-induced fatigue damage is developed and validated and it is demonstrated that the proposed approach can reduce the computational effort required to evaluate FLS reliability with high accuracy.

TL;DR: An efficient reliability method, termed as the AL-AS-GPR-PDEM, is proposed, which effectively combines the probability density evolution method (PDEM) and the Gaussian process regression (GPR) surrogate model enhanced by both the active subspace (AS)-based dimension reduction and the active learning (AL)-based sampling strategy.

TL;DR: This paper investigates the influence of the values of the safety factors for FVDs on the reliability of the devices and of the structural systems equipped with them, and gives evidence to the potential brittle behaviour of the coupled system.

TL;DR: The proposed approach consists of an improved Kriging-based method aiming at reducing to a minimum the number of evaluations of the true performance function when computing a failure probability.

TL;DR: In this paper, structural safety and reliability analyses of UHPC columns under varying blast scenarios are performed, and the peak reflected pressure and impulse from the selected blast scenarios were derived based on variation in the explosive mass and standoff distance.

TL;DR: In this paper, the authors proposed a reliability-based indicator for assessing the expected post-earthquake traffic flow capacity of a highway bridge, where the structural safety of a bridge before and after an earthquake event is expressed by its reliability index.

TL;DR: It is shown that a POMDP policy inherently leverages the notion of VoI to guide observational actions in an optimal way at every decision step, and that the permanent or intermittent information provided by SHM or inspection visits, respectively, can only improve the cost of this policy in the long-term.

TL;DR: A novel approach called the Density Extrapolation Approach (DEA) is proposed, which builds on the Subset Simulation (SS) approach and integrates density estimation with SS and leverages the ability of SS to effectively move towards and generate samples in the tail regions and the able of density estimation to extrapolate into the Tail regions.

TL;DR: A space reduction strategy is proposed to increase the probability of the samples generated in each conditional event, which greatly improves the sampling efficiency and the coefficient of variation of AWSM is derived.

TL;DR: A subset simulation (SS) based approach for space and time-dependent reliability analysis of corroding pipelines is proposed and is found to yield highly accurate results.

TL;DR: In this paper, an update of the probabilistic models used for calibrating the wind load, snow load and companion load factors for the National Building Code of Canada (NBCC) is presented.

TL;DR: In this article, the effect of the interaction of corrosion pits among tensile rebars on the reliability of reinforced concrete (RC) structures was investigated using an experimental procedure that incorporates X-ray and digital image processing techniques.

TL;DR: A hybrid approach, which combines the probability density evolution method (PDEM) and the explicit time-domain method (ETDM), is proposed for system reliability analysis of energy-dissipation structures with hysteretic dampers under seismic excitations.

TL;DR: A novel hybrid Markov decision process model is proposed that integrates a discrete-time Markov decisions process model for dealing with progressive deterioration and a continuous- time Markov Decision Process model for deals with sudden earthquakes into a unified framework.

TL;DR: An efficient surrogate model, referred to here as sparse variational Bayesian inference based polynomial chaos expansion (SVB-PCE), is formulated in this paper for reliability analysis and enables to capture the most important terms in thePolynomial bases which also reduces the computational cost in assessing the failure probability.

TL;DR: An efficient importance sampling (IS) method for estimating the first-passage probability of linear structures with uncertain parameters and subjected to Gaussian process excitations that can be applied as a black-box method.

TL;DR: In this article, a probabilistic prediction model was developed combining a continuous-time Markov chain model with the Faraday law for the random evolution of corrosion in steel bars under a constant corrosion current density.

TL;DR: In this paper, an overall simulation-based procedure to assess the fragility and reliability of offshore wind turbines (WTs) subjected to tropical cyclone (TC) hazard is presented, which relies on establishing the synthetic databases of TC track, TC wind and wave fields, and structural response.

TL;DR: Results show that the reusable structural concrete component design can simultaneously satisfy the current and future safety and environmental requirements, meeting the demand for sustainable development.