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Adaptive sampling based estimation of small probability of failure using interpretable Self-Organising Map Struct. Saf. (IF 5.8) Pub Date : 2024-04-03 Deepanshu Yadav, Kannan Sekar, Palaniappan Ramu
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An enhanced learning function for bootstrap polynomial chaos expansion-based enhanced active learning algorithm for reliability analysis of structure Struct. Saf. (IF 5.8) Pub Date : 2024-03-20 Avinandan Modak, Subrata Chakraborty
Sparse polynomial chaos expansion (PCE) combined with the bootstrap resampling method is a viable alternative to obtain an active learning algorithm for reliability analysis. The existing learning functions in PCE-based active learning algorithms do not consider the joint probability density function (PDF) information. The present study explores a sparse PCE-based active learning algorithm based on
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On the derivation of the delta formulation for decision value Struct. Saf. (IF 5.8) Pub Date : 2024-03-13 Sebastian Thöns
This paper contains decision analytical approaches, conditions and models for the quantification of decision values for built environment systems. Specifically, (1) delta formulations of objective functions for decision value quantification are introduced, (2) conditions for decision value are identified and (3) action value analysis formulations are further developed. The delta objective functions
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Probabilistic design procedure for steel moment resisting frames equipped with FREEDAM connections Struct. Saf. (IF 5.8) Pub Date : 2024-03-13 Maria Maglio, Rosario Montuori, Elide Nastri, Vincenzo Piluso, Alessandro Pisapia
In this work, the Theory of Plastic Mechanism Control (TPMC) is combined with a probabilistic method to account for the influence of random material variability. Reference is made to steel Moment Resisting Frames (MRFs) equipped with FREEDAM connections. FREEDAM connections are beam-to-column connections equipped with friction dampers to dissipate the seismic input energy. TPMC is used to guarantee
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GELF: A global error-based learning function for globally optimal adaptive reliability analysis Struct. Saf. (IF 5.8) Pub Date : 2024-03-12 Chi Zhang, Chaolin Song, Abdollah Shafieezadeh
Kriging has gained significant attention for reliability analysis primarily because of the analytical form of its uncertainty information, which facilitates adaptive training and establishing stopping criteria for the training process. Learning functions play a significant role in both selection of training points and stoppage of the training. For these functions, most existing learning functions evaluate
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Uncertainty, Modeling, and Decision Making in Geotechnics. Edited by Kok-Kwang Phoon, Takayuki Shuku, and Jianye Ching. Boca Raton, FL: CRC Press (an imprint of Taylor & Francis Group), 2024. 502 pp. ISBN: 978-1-032-36749-1 (hbk), ISBN: 978-1-032-36750-7 (pbk), ISBN: 978-1-003-33358-6 (ebk). Struct. Saf. (IF 5.8) Pub Date : 2024-03-07 J, o, h, a, n, , S, p, r, o, s, s
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Prediction and correlations estimation of seismic capacities of pier columns: Extended Gaussian process regression models Struct. Saf. (IF 5.8) Pub Date : 2024-03-02 Ruchun Mo, Libo Chen, Yu Chen, Chuanxiang Xiong, Canlin Zhang, Zhaowu Chen, En Lin
Assessing the seismic capacity of pier columns is a crucial element in the performance-based seismic design of bridges. Such assessment necessitates a probabilistic approach to accurately determine the marginal probability distributions of seismic capacities and to characterize the dependencies among these variables. In response to this need, this paper employs Multi-Output Gaussian Process Regression
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On reliability assessment of existing structures Struct. Saf. (IF 5.8) Pub Date : 2024-02-28 Dimitris Diamantidis, Peter Tanner, Milan Holicky, Henrik O. Madsen, Miroslav Sykora
This contribution discusses the reliability assessment of existing structures emphasizing on developments within or initiated by the JCSS. After a bibliographical review, the principles of reliability updating, i.e. Bayesian updating of random variables and updating of event probabilities are summarized. Developments in standards and established verification formats—partial factor or load and resistance
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Probabilistic modelling of deterioration of reinforced concrete structures Struct. Saf. (IF 5.8) Pub Date : 2024-02-26 Dimitri V. Val, Carmen Andrade, Miroslav Sykora, Mark G. Stewart, Emilio Bastidas-Arteaga, Jan Mlcoch, Quynh Chau Truong, Charbel-Pierre El Soueidy
Reinforced concrete (RC) structures deteriorate over time which affects their strength and serviceability. To develop measures for protecting new RC structures against deterioration and assess the condition of existing RC structures subjected to deterioration an understanding of the deterioration processes and the ability to predict their development, including structural consequences, are essential
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An adaptive data-driven subspace polynomial dimensional decomposition for high-dimensional uncertainty quantification based on maximum entropy method and sparse Bayesian learning Struct. Saf. (IF 5.8) Pub Date : 2024-02-20 Wanxin He, Gang Li, Yan Zeng, Yixuan Wang, Changting Zhong
Polynomial dimensional decomposition (PDD) is a surrogate method originated from the ANOVA (analysis of variance) decomposition, and has shown powerful performance in uncertainty quantification (UQ) accuracy and convergence recently. However, complex high-dimensional problems result in a large number of polynomial basis functions, leading to heavy computational burden, and the probability distributions
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Eurocode-compliant system-level reliability analyses of trussed portal frames under climatic loads Struct. Saf. (IF 5.8) Pub Date : 2024-02-20 Lauri Jaamala, Henna Hietikko-Kaukola, Kristo Mela, Juha Tulonen, Anssi Hyvärinen
Eurocode 3 provides eometrically and aterially onlinear nalysis with mperfections-method (GMNIA) in which the entire structure can be designed in system-level. In GMNIA, reliability of structural system is verified by using a system safety factor which is obtained in Eurocode 3 based on numerical or experimental capacity test results. Unfortunately, such test results are scarcely published in the literature
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System-reliability-based sizing and shape optimization of trusses considering millions of failure sequences Struct. Saf. (IF 5.8) Pub Date : 2024-02-15 Lucas A. Rodrigues da Silva, André J. Torii, André T. Beck
System-Reliability-Based Design Optimization (S-RBDO) of structures considering progressive collapse is a complex problem, as the number of potential failure sequences increases geometrically with the degree of static indeterminacy of the structure. Existing methods for identifying failure sequences in structural systems are computationally expensive and prone to missing some critical failure sequences
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Moving toward resilience and sustainability in the built environment Struct. Saf. (IF 5.8) Pub Date : 2024-02-15 Mauricio Sánchez-Silva, Paolo Gardoni, Dimitri V. Val, David Y. Yang, Dan M. Frangopol, Maria Pina Limongelli, Daniel Honfi, Nayled Acuña, Daniel Straub
Developing and managing infrastructure requires considering the system's physical performance and operational, financial, social, environmental, and managerial aspects. These aspects interact in a dynamic environment that evolves and changes continuously. Changes in demand, socio-economic pressures, and the increasing frequency and intensity of natural events – exacerbated by climate change – make
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Performance evaluation of high-rise buildings using database-assisted design approach Struct. Saf. (IF 5.8) Pub Date : 2024-02-03 Dikshant Saini, Bahareh Dokhaei, Behrouz Shafei, Alice Alipour
In recent years, performance-based design (PBD) has gained attention and is sought to be the benchmark approach in the field of wind engineering. While the concept of performance-based design is well-accepted in earthquake engineering, it is yet to be embraced for the design of buildings to resist severe wind loads. This paper introduces a framework for the performance-based wind design (PBWD) of tall
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Models and methods for probabilistic safety assessment of steel structures subject to fatigue Struct. Saf. (IF 5.8) Pub Date : 2024-02-02 Johan Maljaars, John Leander, Alain Nussbaumer, John Daalsgaard Sørensen, Daniel Straub
We review of the state of the art in probabilistic modelling for fatigue reliability of civil engineering and offshore structures. The modelling of randomness and uncertainty in fatigue resistance and fatigue load variables are presented in some detail. This is followed by a review of the specifics of reliability analysis for fatigue limit states and a background on the semi-probabilistic treatment
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Probabilistic model updating of steel frame structures using strain and acceleration measurements: A multitask learning framework Struct. Saf. (IF 5.8) Pub Date : 2024-01-24 Taro Yaoyama, Tatsuya Itoi, Jun Iyama
This paper proposes a multitask learning framework for probabilistic model updating by jointly using strain and acceleration measurements. This framework can enhance the structural damage assessment and response prediction of existing steel frame structures with quantified uncertainty. Multitask learning may be used to address multiple similar inference tasks simultaneously to achieve a more robust
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Calibration of burst strength models of corroded pipelines using the hierarchical Bayesian method Struct. Saf. (IF 5.8) Pub Date : 2024-01-23 U. Bhardwaj, A.P. Teixeira, C. Guedes Soares
This paper proposes a probabilistic framework to calibrate burst strength models of intact and corroded pipelines based on the hierarchical Bayesian method. The approach uses burst test data of intact and corroded pipelines of different steel grades compiled from the literature and accounts for the variations among the data sources. First, the most appropriate burst strength models for corrosion-free
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Control variates with splitting for aggregating results of Monte Carlo simulation and perturbation analysis Struct. Saf. (IF 5.8) Pub Date : 2024-01-20 Cristóbal H. Acevedo, Marcos A. Valdebenito, Iván V. González, Héctor A. Jensen, Matthias G.R. Faes, Yong Liu
Estimation of second-order statistics allows characterizing the uncertainty associated with the response of stochastic finite element models. Two common approaches for estimating these statistics are Monte Carlo simulation and perturbation. The purpose of this paper is to present a framework to aggregate the results obtained by means of these two approaches under the umbrella of Control Variates with
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Estimating intraevent and interevent variability and spatial correlation of tropical cyclone wind fields and their use for the risk assessment of a portfolio of structures Struct. Saf. (IF 5.8) Pub Date : 2024-01-19 C. Sheng, Q.Y. Fan, H.P. Hong
Often the tropical cyclone (TC) wind hazard assessment requires the use of the TC wind field model. While theoretical models typically predict the observed wind field well, there can be a spatially varying residual correlation that impacts the damage assessment of communities or groups of structures. In this study, we focus on developing spatial correlation models and assessing the intraevent and interevent
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Stochastic modelling of in-structure concrete strength based on stochastic damage model and Burr distribution Struct. Saf. (IF 5.8) Pub Date : 2024-01-19 Jingran He, Junjie Hong, Ruofan Gao, Jinju Tao, Hongmin Yan
The probability measure of low-quality concrete is essential for the reliability analysis of concrete structures. However, this problem is usually neglected, and the normal distribution or lognormal distribution is often selected as the probability distribution of concrete strength. In this study, a better solution for this problem is given by theoretically deriving of the Burr distribution based on
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Seismic risk assessment of highway bridges in western Canada under crustal, subcrustal, and subduction earthquakes Struct. Saf. (IF 5.8) Pub Date : 2024-01-18 Yihan Shao, Yazhou Xie
This study conducts seismic risk assessment of highway bridges in western Canada. The performance-based earthquake engineering (PBEE) framework is enhanced to assess the expected annual repair cost ratio (ARCR) and annual restoration time (ART) of a benchmark bridge class under the region’s three types of earthquakes - shallow crustal earthquakes (CEs), deep subcrustal earthquakes (SCEs), and megathrust
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Life-cycle performance of aluminium cladding panels in resisting hailstorms Struct. Saf. (IF 5.8) Pub Date : 2024-01-18 Shuangmin Shi, Nelson Lam, Yiwen Cui, Guoxing Lu, Emad Gad, Lihai Zhang
This paper delves into cumulative damage on aluminium cladding panels attributed to hailstorms throughout the lifespan of the installations. 40 gas gun tests subjecting the cladding panel to repeated impact were undertaken for the purpose of studying cumulative damage behaviour. Insights from these tests were integrated into a hail size distribution model to characterise the probabilistic distribution
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Probabilistic models of dynamic increase factor (DIF) for reinforced concrete structures: A Bayesian approach Struct. Saf. (IF 5.8) Pub Date : 2024-01-09 Dade Lai, Fabrizio Nocera, Cristoforo Demartino, Yan Xiao, Paolo Gardoni
The response of structures under rapidly varying loads can be affected by strain rate sensitivity generally expressed using Dynamic Increase Factor (). Current models for estimating the in Reinforced Concrete (RC) structures are generally deterministic and have restricted applicability due to their dependence on limited experimental data resulting in bias. This paper overcomes these limitations by
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Probability density function modelling and credible region construction for multivariate, asymmetric, and multimodal distributions of geotechnical data Struct. Saf. (IF 5.8) Pub Date : 2023-12-23 Zi-Tong Zhao, He-Qing Mu, Ka-Veng Yuen
Geotechnical data are typically Multivariate, Uncertain, and Irregular (MUI), so the probability distribution of geotechnical data is Multivariate, Asymmetric, and Multimodal (MAM). Probability Density Function (PDF) modelling and Credible Region (CR) construction are two key issues for a MAM distribution. There are two fundamental difficulties in characterizing a MAM distribution. The first is on
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Probabilistic approach to the sustainability assessment of reinforced concrete structures in conditions of climate change Struct. Saf. (IF 5.8) Pub Date : 2023-12-10 Salim Idris Malami, Dimitri V. Val, Benny Suryanto, Husham A. Salman, Xiao-Hui Wang
The paper presents a probabilistic method based on two methodologies – Life Cycle Cost Analysis (LCCA) and Life Cycle Assessment (LCA), for evaluating the sustainability of reinforced concrete (RC) structures in terms of their costs and CO2 emissions. The method considers the whole life of a RC structure by taking into account CO2 initially embodied in its construction materials, the absorption of
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An improved adaptive Kriging model for importance sampling reliability and reliability global sensitivity analysis Struct. Saf. (IF 5.8) Pub Date : 2023-12-09 Da-Wei Jia, Zi-Yan Wu
An improved adaptive Kriging model for importance sampling (IS) reliability and reliability global sensitivity analysis is proposed by introducing the IS density function into learning function. Considering the variance information of Kriging prediction, the formula of traditional IS method is extended to the form considering the uncertainty of symbol function. The estimated variance of failure probability
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An effective active learning strategy for reliability-based design optimization under multiple simulation models Struct. Saf. (IF 5.8) Pub Date : 2023-12-08 Seonghyeok Yang, Mingyu Lee, Yongsu Jung, Hyunkyoo Cho, Weifei Hu, Ikjin Lee
This paper proposes an effective active learning strategy for reliability-based design optimization (RBDO) problems in which the constraint functions are acquired from multiple simulation models. To achieve this goal, a new active learning function (ALF) is derived by estimating the increased reliability of active constraint functions after adding one point to the train points of constraint functions
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Probabilistic analysis of operational ice damage for Polar class vessels using full-scale data Struct. Saf. (IF 5.8) Pub Date : 2023-12-07 Mikko Suominen, Mihkel Kõrgesaar, Rocky Taylor, Martin Bergström
To ensure the safety of maritime operations in polar waters, the IMO enforced the International Code for Ships Operating in Polar Waters (Polar Code) in 2017. To address ice navigation related risks, the Polar Code refers to a set of guidelines known as the Polar Operational Limit Assessment Risk Indexing System (POLARIS). Following POLARIS, operational limits for ice navigation are defined based on
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Determination of load combination factors for code calibration Struct. Saf. (IF 5.8) Pub Date : 2023-12-01 Colin C. Caprani, M. Shihabuddin Khan
Semi-probabilistic methods are widely used for structural engineering design and assessment. In such methods, the safety and performance adequacy of structures are typically tied to partial safety factors for load and resistance, and load combination factors. There exist some heuristic strategies for estimating these partial factors, such as the design value method and first order reliability coefficient
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Post-disaster restoration planning of interdependent infrastructure Systems: A framework to balance social and economic impacts Struct. Saf. (IF 5.8) Pub Date : 2023-11-30 Xiubing Huang, Naiyu Wang
Hazard-induced service interruption of interdependent infrastructure systems (IISs) (e.g., electricity, water, gas, etc.) can lead to significant disruptions of social and economic functions of a modern society. An effective post-event restoration of the IISs is therefore of paramount importance to the overall recovery of a hazard-stricken community as a whole. As opposed to approaches with pure engineering
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Human and organizational factors influencing structural safety: A review Struct. Saf. (IF 5.8) Pub Date : 2023-11-30 Xin Ren, Karel C. Terwel, Pieter H.A.J.M. van Gelder
A broad review of the existing literature concerning Human and Organizational Factors (HOFs) and human errors influencing structural safety is presented in this study. Publications on this research topic were collected from the Scopus database. Two research focal points of this topic, namely modelling and evaluating the human error effects on structural reliability, and identifying causal factors for
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Stochastic analysis and reliability assessment of critical RC structural components considering material properties uncertainty Struct. Saf. (IF 5.8) Pub Date : 2023-11-22 A.R. Ibrahim, D.A. Makhloof
The unavoidable heterogeneity in the mechanical characteristics of concrete is widely acknowledged. Although it is widely considered as either perfectly correlated or entirely independent random variables in engineering practice; however, such treatment is illogical, and the outcomes may be deceptive. In high-rise buildings comprised of multiple structural components, it is crucial to consider the
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Seismic safety of RC piers with parameter uncertainties: Assessing dimensionless response using Bayesian linear regression Struct. Saf. (IF 5.8) Pub Date : 2023-11-26 Rana Roy, Atanu Santra
Both maximum and residual deformations are essential for seismic safety during and following strong earthquakes, especially in the near field. These parameters are often calculated per unidirectional analysis, albeit bidirectional analysis may be carried out for important systems with the availability of growing computational power. However, a pressing challenge in earthquake engineering that continues
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Parallel Bayesian probabilistic integration for structural reliability analysis with small failure probabilities Struct. Saf. (IF 5.8) Pub Date : 2023-11-17 Zhuo Hu, Chao Dang, Lei Wang, Michael Beer
Bayesian active learning methods have emerged for structural reliability analysis and shown more attractive features than existing active learning methods. However, it remains a challenge to actively learn the failure probability by fully exploiting its posterior statistics. In this study, a novel Bayesian active learning method termed ‘Parallel Bayesian Probabilistic Integration’ (PBPI) is proposed
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Global sensitivity evolution equation of the Fréchet-derivative-based global sensitivity analysis Struct. Saf. (IF 5.8) Pub Date : 2023-11-18 Zhiqiang Wan
For stochastic dynamical systems with multiple uncertain parameters, it is often of interest to detect which parameters are dominant, in which the global sensitivity analysis may be one of the common means. To measure the global sensitivity in both qualitative and quantitative terms, it is of significant importance to adopt a global sensitivity index with sufficient quantification information. The
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Modeling and material uncertainty quantification of RC structural components Struct. Saf. (IF 5.8) Pub Date : 2023-11-16 Mohammad Amin Hariri-Ardebili, Christopher L. Segura, Siamak Sattar
It is well established that various sources of uncertainties play a critical role in the safety assessment of engineering structures. Some widely used frameworks, such as performance-based earthquake engineering (PBEE), explicitly consider the ground motion record-to-record randomness, while the material and modeling uncertainty remain to be primarily based on judgments or limited analysis. This paper
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Measurement plan targeting the accuracy of calibrated chloride ingress model for concrete structures in marine environment Struct. Saf. (IF 5.8) Pub Date : 2023-11-15 Ze Yuan, Quanwang Li, Kefei Li
Surface chloride concentration (CS) and chloride diffusion coefficient (DCl) are key parameters for durability assessment of concrete structures in marine environment; they are time-varying and highly dependent on the exposure condition. To reasonably model their behaviors at a specific location, durability measurement data are often needed to calibrate the apparent chloride ingress model based on
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Variance-based reliability sensitivity with dependent inputs using failure samples Struct. Saf. (IF 5.8) Pub Date : 2023-11-15 Max Ehre, Iason Papaioannou, Daniel Straub
Reliability sensitivity analysis is concerned with measuring the influence of a system’s uncertain input parameters on its probability of failure. Statistically dependent inputs present a challenge in both computing and interpreting these sensitivity indices; such dependencies require discerning between variable interactions produced by the probabilistic model describing the system inputs and the computational
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Adaptive active subspace-based metamodeling for high-dimensional reliability analysis Struct. Saf. (IF 5.8) Pub Date : 2023-11-16 Jungho Kim, Ziqi Wang, Junho Song
To address the challenges of reliability analysis in high-dimensional probability spaces, this paper proposes a new metamodeling method that couples active subspace, heteroscedastic Gaussian process, and active learning. The active subspace is leveraged to identify low-dimensional salient features of a high-dimensional computational model. A surrogate computational model is built in the low-dimensional
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Towards system reliability targeted design for flange-angle partially restrained steel moment connections Struct. Saf. (IF 5.8) Pub Date : 2023-11-07 Aritra Chatterjee, Trisha Chakravorty, Baidurya Bhattacharya
Partially or fully restrained steel moment connections are essential constituents of lateral force resisting moment frames. The constituents of the moment connection system – bolts, welds, plates and angles – are sized using their individual force demands by a limit state element-based load and resistance factor design procedure. The system reliability of the connection as a whole, which must be commensurate
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Solution of FPK equation for stochastic dynamics subjected to additive Gaussian noise via deep learning approach Struct. Saf. (IF 5.8) Pub Date : 2023-11-06 Amir H. Khodabakhsh, Seid H. Pourtakdoust
The Fokker-Plank-Kolmogorov (FPK) equation is an idealized model representing many stochastic systems commonly encountered in the analysis of stochastic structures as well as many other applications. Its solution thus provides an invaluable insight into the performance of many engineering systems. Despite its great importance, the solution of the FPK equation is still extremely challenging. For systems
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Risk-based maintenance and inspection of riverine flood defence systems Struct. Saf. (IF 5.8) Pub Date : 2023-11-08 Wouter Jan Klerk, Vera van Bergeijk, Wim Kanning, Rogier Wolfert, Matthijs Kok
The condition of flood defence revetments is influenced by many different degradation processes such as animal burrowing, rutting and growth of weeds. Many of these processes are shock-based rather than progressive continuous. As shocks can cause a drop in performance, this means that the condition of a revetment can suddenly decrease, meaning that revetments can have significant initial damage at
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Gaussian Copula-based Bayesian network approach for characterizing spatial variability in aging steel bridges Struct. Saf. (IF 5.8) Pub Date : 2023-11-06 B. Barros, B. Conde, B. Riveiro, O. Morales-Nápoles
Finite Element (FE) modeling often requires unavoidable simplifications or assumptions due to a lack of experimental data, modeling complexity, or non-affordable computational cost. One such simplification is modeling corrosion phenomena or material properties, which are usually assumed to be uniform throughout the structure. However, e.g., corrosion has a local nature and severe consequences on the
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Optimized equivalent linearization for random vibration Struct. Saf. (IF 5.8) Pub Date : 2023-11-06 Ziqi Wang
A fundamental limitation of various Equivalent Linearization Methods (ELMs) in nonlinear random vibration analysis is that they are approximate by their nature. A quantity of interest estimated from an ELM has no guarantee to be the same as the solution of the original nonlinear system. In this study, we tackle this fundamental limitation. We sequentially address the following two questions: (i) given
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Variance reduction function for a potential inclined slip line in a spatially variable soil Struct. Saf. (IF 5.8) Pub Date : 2023-10-31 Yuanqin Tao, Kok-Kwang Phoon, Honglei Sun, Jianye Ching
Variance reduction function for a spatially variable soil property is an important factor that affects the spatial average-based characteristic value, which in turn influences the design of a geotechnical structure in the context of Eurocode 7. This study derives the theoretical and approximate variance reduction functions (VRFs) for a potential inclined slip line in a spatially variable soil. Only
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A conditional extreme value distribution method for dynamic reliability analysis of stochastic structures Struct. Saf. (IF 5.8) Pub Date : 2023-10-28 Ye-Yao Weng, Xuan-Yi Zhang, Zhao-Hui Lu, Yan-Gang Zhao
An efficient post-processing simulation method is proposed to estimate small failure probabilities of stochastic dynamic structures involving the inherent randomness of structural physical-geometrical parameters and external excitations. To extract a small failure probability, the proposed method introduces an intermediate event to represent the realizations of extreme structural response in the tail
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A multi-fidelity stochastic simulation scheme for estimation of small failure probabilities Struct. Saf. (IF 5.8) Pub Date : 2023-10-25 Min Li, Srinivasan Arunachalam, Seymour M.J. Spence
Computing small failure probabilities is often of interest in the reliability analysis of engineering systems. However, this task can be computationally demanding since many evaluations of expensive high-fidelity models are often required. To address this, a multi-fidelity approach is proposed in this work within the setting of stratified sampling. The overall idea is to reduce the required number
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A novel Bayesian-inference-based method for global sensitivity analysis of system reliability with multiple failure modes Struct. Saf. (IF 5.8) Pub Date : 2023-09-23 Qiangqiang Zhao, Tengfei Wu, Jinyan Duan, Jun Hong
Global reliability sensitivity analysis aims at quantifying the effects of each random source on failure probability or reliability over their whole distribution range and is highly concerned in reliability design and uncertainty control. And in practice, a structure or product usually has more than one component impacting their performance safety, which is essentially a system reliability problem
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Numerical algorithm for determining serviceability live loads and its applications Struct. Saf. (IF 5.8) Pub Date : 2023-09-20 Chi Xu, Jun Chen, Jie Li
The live load duration refers to the period when the live load is larger than a given threshold in the reference period. The smallest threshold that allows the duration to be shorter than the required length is employed as the design live load for serviceability limit states. However, the traditional method only considers the mean duration and the probability that the duration exceeds the required
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Mixed Bayesian Network for reliability assessment of RC structures subjected to environmental actions Struct. Saf. (IF 5.8) Pub Date : 2023-09-16 Hongyuan Guo, You Dong, Emilio Bastidas-Arteaga
Under environmental action, reinforced concrete (RC) structures might suffer from reinforcement corrosion caused by the surrounding environment, dramatically reducing structural reliability and threatening social development. However, most of the existing reliability assessment methods for RC structures only focused on the structural performance at the design stage given the original unchanged environment
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AK-SEUR: An adaptive Kriging-based learning function for structural reliability analysis through sample-based expected uncertainty reduction Struct. Saf. (IF 5.8) Pub Date : 2023-09-09 Changle Peng, Cheng Chen, Tong Guo, Weijie Xu
Reliability Analysis (RA) is a critical aspect of structural design and performance evaluation aiming to determine the probability of structural failure under given random input parameters. With modern development of modeling techniques, computational models have achieved higher fidelity but at the increased cost of computational time, which poses a significant challenge for RA. Consequently, surrogate
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Augmented first-order reliability method for estimating fuzzy failure probabilities Struct. Saf. (IF 5.8) Pub Date : 2023-08-25 Marcos A. Valdebenito, Xiukai Yuan, Matthias G.R. Faes
This paper presents an approach for estimating the fuzzy failure probability associated with reliability problems where uncertainty is characterized through random variables whose distribution parameters are described as fuzzy variables. The main contribution of this work is addressing such problem with the First-Order Reliability Method, with some minor modifications. The epistemic uncertainty is
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Entropy-based framework for optimal life-cycle management of multiple fatigue cracks in ship structures Struct. Saf. (IF 5.8) Pub Date : 2023-08-11 Akshat Chulahwat, Hussam Mahmoud
Cyclic loading of ship structures can result in multiple cracks at fatigue-prone details. While these cracks are generally considered a nuisance, they can result in catastrophic failure if left unrepaired. On the other hand, periodic inspection and repair of these cracks can result in a large financial burden. Accordingly, careful scheduling of inspection and repair of the cracks is needed to avoid
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Adaptive decoupled robust design optimization Struct. Saf. (IF 5.8) Pub Date : 2023-08-07 Yan Shi, Hong-Zhong Huang, Yu Liu, Michael Beer
Robust design optimization (RDO) is a valuable technique in the design of engineering structures as it can provide an optimum design solution that is relatively insensitive to input uncertainties. However, the nested double-loop estimation process required in RDO often results in significant computational costs. To address this issue, we propose an adaptive decoupled RDO method based on the Kriging
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Examination of occurrence probability of vortex-induced vibration of long-span bridge decks by Fokker–Planck–Kolmogorov equation Struct. Saf. (IF 5.8) Pub Date : 2023-08-01 Wei Cui, Luca Caracoglia, Lin Zhao, Yaojun Ge
Vortex-induced vibration (VIV) is a major concern for long-span bridge decks, which may happen especially for closed-box girders under certain environmental wind conditions. Traditionally, sustained VIV is observed as long as the wind speed falls within the lock-in region in wind tunnel tests. However, structural vibration monitoring of long-span bridges has indicated that frequency of VIV events may
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Development of a novel fire following earthquake probabilistic framework applied to a steel braced frame Struct. Saf. (IF 5.8) Pub Date : 2023-07-28 Patrick Covi, Nicola Tondini, Amir Sarreshtehdari, Negar Elhami-Khorasani
This paper describes a novel probabilistic fire following earthquake (FFE) framework to develop FFE fragility functions for steel braced frames. In particular, an 8-storey steel braced frame, located in a high seismic area, was used to demonstrate the framework. An algorithm was formulated to generate fire scenarios based on seismic damage. Damage caused by the earthquake was expressed in terms of
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Multi-hazard assessment of transmission line systems subjected to independent non-concurrent turbulent winds and ground accelerations Struct. Saf. (IF 5.8) Pub Date : 2023-07-27 Leandro F. Fadel Miguel, Fábio Alminhana, Jherbyson Williams Silva Brito, David Madeira Sousa, André T. Beck
The design of transmission lines is based on the Load and Resistance Factor Design approach, considering that their collapse limit state is governed by climatic actions (wind and ice). Even so, accident reports indicate the regular observation of moderate to severe damage of towers after strong ground motions, affecting the structure’s capacity to withstand future load events. Therefore, integrating
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Non-stationary non-Gaussian random vibration analysis of Duffing systems based on explicit time-domain method Struct. Saf. (IF 5.8) Pub Date : 2023-07-17
Non-stationary non-Gaussian random vibration problems of structures are challenging and drawing increasing attention. In the present study, firstly, an explicit time-domain method (ETDM) is proposed to determine the higher-order response statistics of linear systems subjected to non-stationary non-Gaussian random excitations, in which the first four orders of cumulants of dynamic responses are directly
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