Article
Engineering, Mechanical
P. L. Green, L. J. Devlin, R. E. Moore, R. J. Jackson, J. Li, S. Maskell
Summary: This paper discusses the optimization of the 'L-kernel' in Sequential Monte Carlo samplers to improve performance, resulting in reduced variance of estimates and fewer resampling requirements.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Engineering, Mechanical
Adolphus Lye, Alice Cicirello, Edoardo Patelli
Summary: This tutorial paper reviews the use of advanced Monte Carlo sampling methods in Bayesian model updating for engineering applications, introducing different methods and comparing their performance. Three case studies demonstrate the advantages and limitations of these sampling techniques in parameter identification, posterior distribution sampling, and stochastic identification of model parameters.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2021)
Article
Acoustics
Zhenrui Peng, Zenghui Wang, Hong Yin, Yu Bai, Kangli Dong
Summary: This paper presents a new Bayesian model updating method that addresses the issues of low sampling efficiency and reliance on single-chain proposal distribution in traditional Markov chain Monte Carlo algorithms. The method incorporates delayed rejection and adaptive strategies to obtain multiple Markov chains from different proposal distributions, which can independently adjust proposal distribution variances and improve the acceptance rate of candidate samples. An abnormal chain detection criterion is used to eliminate abnormal Markov chains. The method also utilizes a multi-source sensors grouping weighted fusion algorithm and a Kriging surrogate model to improve updating accuracy and computational efficiency.
JOURNAL OF SOUND AND VIBRATION
(2022)
Article
Engineering, Industrial
Zeyu Wang, Abdollah Shafieezadeh
Summary: This paper presents a new approach to overcome the computational cost problem of Bayesian updating for complex computational models. It decomposes the updating problem into a set of sub-reliability problems with uncertain failure thresholds, enabling precise identification of intermediate failure thresholds and training of surrogate models. The proposed method reduces computational costs significantly while maintaining high accuracy.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Agriculture, Dairy & Animal Science
M. A. Stephen, C. R. Burke, N. Steele, J. E. Pryce, S. Meier, P. R. Amer, C. V. C. Phyn, D. J. Garrick
Summary: In this study, the genetic and phenotypic relationships between anogenital distance (AGD) and body stature and fertility traits in dairy cattle were characterized. The results showed that AGD is a moderately heritable trait and is associated with reproductive success in lactating cows.
JOURNAL OF DAIRY SCIENCE
(2023)
Article
Engineering, Mechanical
Nan Shen, Liang Chen, Ruizhi Chen
Summary: A novel displacement detection approach is proposed using Bayesian inference to identify and extract displacement from GNSS kinematic positioning. It can accurately extract vertical displacement, clearly identifying significant displacement and adding an interval constraint for small displacement. The accuracy of vertical displacement extraction from GNSS real-time kinematic positioning can reach within 2 mm in 15 min.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Review
Statistics & Probability
Christopher Nemeth, Paul Fearnhead
Summary: MCMC algorithms are considered the gold standard technique for Bayesian inference, but the computational cost can be prohibitive for large datasets, leading to the development of scalable Monte Carlo algorithms. One type of these algorithms is SGMCMC, which reduces per-iteration cost by utilizing data subsampling techniques.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
(2021)
Article
Economics
Zijian Zeng, Meng Li
Summary: A Bayesian median autoregressive model was developed for time series forecasting, utilizing time-varying quantile regression at the median and a Laplace error instead of Gaussian error. Model parameters were estimated using Markov chain Monte Carlo, with Bayesian model averaging and model selection used to address model uncertainty. The methods showed favorable predictive performance in real data applications.
INTERNATIONAL JOURNAL OF FORECASTING
(2021)
Article
Computer Science, Interdisciplinary Applications
Weimin Zhou, Umberto Villa, Mark A. Anastasio
Summary: Medical imaging systems are often evaluated and optimized using objective measures of image quality, with the Bayesian Ideal Observer (IO) representing an upper limit for performance evaluation. A new MCMC method called MCMC-GAN, employing a GAN-based stochastic object model (SOM), shows promise in extending the applicability of MCMC methods for IO analyses of medical imaging systems.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2023)
Article
Ecology
Luiza Guimaraes Fabreti, Sebastian Hoehna
Summary: This study explores different methods for assessing convergence in phylogenetics, including deriving a threshold for minimum effective sample size and converting tree samples into traces of absence/presence of splits for standard ESS computation. The Kolmogorov-Smirnov test is suggested for assessing convergence in distribution between replicated MCMC runs, while potential scale reduction factor is deemed biased for skewed posterior distributions. Additionally, the study introduces a method for computing distribution of differences in split frequencies, highlighting the importance of using the 95% quantile for checking convergence in split frequencies.
METHODS IN ECOLOGY AND EVOLUTION
(2022)
Review
Engineering, Civil
Aditya Pandey, Ashmeet Singh, Paolo Gardoni
Summary: This paper reviews the diagrammatic perturbation theory, a technique in Information Field Theory, for analytically estimating moments of perturbative non-Gaussian distributions. When dealing with physical phenomena, which often exhibit non-Gaussian features, approximation of the underlying distribution and inference of its parameter form are commonly used. More rigorous analysis methods such as Markov Chain Monte Carlo can also be employed, but are computationally expensive.
Article
Biochemistry & Molecular Biology
Andrew F. Neuwald, Hui Yang, Tracy Nixon
Summary: SPARC helps generate plausible hypotheses about underlying biochemical mechanisms by structurally characterizing protein sequence constraints, analyzing include pairwise sequence correlations, correspondence between directly coupled residue pairs, and interactions among constrained residues.
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL
(2022)
Article
Statistics & Probability
Lewis J. Rendell, Adam M. Johansen, Anthony Lee, Nick Whiteley
Summary: In order to conduct Bayesian inference with large datasets, it is beneficial to distribute the data across multiple machines. By introducing an instrumental hierarchical model and using an SMC sampler with a sequence of association strengths, approximations of posterior expectations can be improved and the association strength can be adjusted accordingly.
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS
(2021)
Article
Immunology
Fang-Chi Hsu, Li-Chern Pan, Yen-Fang Huang, Chin-Hui Yang, Ming-Neng Shiu, Hsiu-Ju Lin
Summary: A study found that neutralizing antibody titers reached their peak within 161 days after vaccination and decreased to lower levels by day 360. This indicates that neutralizing antibody titers decline within 6 months after vaccination, and protection against the Omicron variant may only occur during the peak period.
JOURNAL OF INFECTIOUS DISEASES
(2023)
Article
Computer Science, Interdisciplinary Applications
Arvind K. Saibaba, Pranjal Prasad, Eric de Sturler, Eric Miller, Misha E. Kilmer
Summary: This paper demonstrates how to reduce the computational cost of each log-likelihood evaluation by using randomized techniques and embedding them within MCMC algorithms. The resulting MCMC algorithms are shown to be computationally efficient methods for quantifying uncertainty associated with the reconstructed parameters.
JOURNAL OF COMPUTATIONAL PHYSICS
(2021)
Article
Engineering, Geological
Chen Chen, Limin Zhang
Summary: Numerous incidents and failures of earth slopes, dykes, levees and embankment dams are caused by internal erosion, especially under extreme rainfall, storm surges, waves, and flash floods induced by global climate change. This study conducted laboratory tests to investigate the development of internal erosion and changes in hydraulic conductivity under one-way cyclic seepage, as well as the post-erosion stress-strain behavior. The results showed that the erosion development is significantly influenced by the initial grain size distribution and the pattern of imposed cyclic hydraulic gradient, and the cyclic seepage promotes the loss of fine particles and leads to larger hydraulic conductivity.
Article
Engineering, Multidisciplinary
W. J. Lu, B. Li, J. F. Hou, X. W. Xu, H. F. Zou, L. M. Zhang
Summary: This study investigates the vibratory penetration of large-diameter steel cylinders in the Hong Kong-Zhuhai-Macao Bridge (HZMB). Based on geological surveys, field monitoring, and drivability analysis, the vibratory penetration rate, installation accuracy, and dynamic responses of the steel cylinders at both the eastern and western artificial islands are analyzed. A modified method is proposed to calculate the vibratory soil resistance for open-ended thin-wall cylinders under unplugged conditions to consider the scale effects and provide more accurate results for engineering practice.
Article
Engineering, Geological
M. Kamali Zarch, L. M. Zhang, S. M. Haeri, Z. D. Xu
Summary: The rheological behavior of dilute soil-water mixtures, containing clay, silt, and sandy particles, is still not well understood. To investigate this, experiments were conducted using a narrow-gap rotational viscometer to evaluate the interactions between colloidal and non-colloidal particles and the possibility of flow regime change. Results showed that the Bingham model could describe the bulk rheological behavior of dilute mixtures and that the viscosity and yield stress played important roles. It was also found that the flow regime change in dilute mixtures was mainly influenced by flow boundary conditions.
CANADIAN GEOTECHNICAL JOURNAL
(2023)
Article
Geosciences, Multidisciplinary
Haojie Wang, Lin Wang, Limin Zhang
Summary: This study proposes a transfer learning-based approach for landslide susceptibility assessment, which improves prediction accuracy in data-limited regions by training models in data-rich regions and transferring knowledge through model transfer and fine-tuning.
Article
Geosciences, Multidisciplinary
Haojie Wang, Limin Zhang, Lin Wang, Ruilin Fan, Shengyang Zhou, Yejia Qiang, Ming Peng
Summary: This paper presents an integrated machine learning method for co-seismic landslide detection, combining multi-source data, pixel-based and object-based treatments, and ML techniques. Two case studies in China demonstrate the outstanding performance and generic nature of the proposed method in high-resolution co-seismic landslide detection.
Editorial Material
Engineering, Geological
Chuen-Fa Ni, Chih-Chung Chung, Limin Zhang, Yu Wang, Jia-Jyun Dong
ENGINEERING GEOLOGY
(2023)
Article
Engineering, Geological
Lu-Yu Ju, Li-Min Zhang, Te Xiao
Summary: Landslide volume is closely associated with landslide mobility and damage, but direct measurement on-site is challenging. This study uses high-resolution LiDAR-derived digital terrain models to interpret the volumes of 1326 shallow landslides in Hong Kong. New models are proposed to estimate the volumes of small-scale shallow landslides accurately, enhancing landslide risk assessment and management.
ENGINEERING GEOLOGY
(2023)
Article
Mathematics
Jianhong Zhang, Aixia Wang, Limin Zhang, Xiangsheng Chen
Summary: The development of cities often involves the construction of new tunnels beneath existing structures. This study conducted four centrifuge tests to explore the failure mechanisms involved in such construction. The tests revealed three major mechanisms: rapid sand flow, partial failure, and overall collapse, influenced by tunnel face instability, soil types, and buried structures. The results highlight the importance of soil properties and groundwater in these failure mechanisms.
Review
Engineering, Geological
Marcin Chwala, Kok-Kwang Phoon, Marco Uzielli, Jie Zhang, Limin Zhang, Jianye Ching
Summary: This paper reviews the historical developments of geotechnical risk and reliability over the past six decades, highlighting the natural origin of the ground and the lack of sufficient data as key features in geotechnical engineering. It proposes methods like random field theory and compilation of databases to address these issues. The paper emphasizes the importance of reliability-based design as probabilistic methods offer a pathway to tackle big data and implement data-centric geotechnics.
GEORISK-ASSESSMENT AND MANAGEMENT OF RISK FOR ENGINEERED SYSTEMS AND GEOHAZARDS
(2023)
Article
Computer Science, Interdisciplinary Applications
K. S. Yin, T. Xiao, H. Y. Luo, H. F. Zou, L. M. Zhang
Summary: Deep cement mixing (DCM) is an effective ground improvement technique that involves injecting dry cement or cement slurry into the ground. This study focuses on the spatial variation of unconfined compressive strength (UCS) in DCM clusters in a marine clay area. Variograms and random field modeling were used to analyze the spatial variability and autocorrelation structure of UCS data. The study compares the spatial magnitude, uniformity, and variability of site-wide UCS before and after the construction of DCM clusters.
COMPUTERS AND GEOTECHNICS
(2023)
Article
Engineering, Geological
Jian He, Limin Zhang, Te Xiao, Haojie Wang, Hongyu Luo
Summary: In a changing climate, extreme rainstorms become more frequent and intense, causing thousands of landslides and leading to the loss of hundreds of lives. The current landslide emergency management lacks key information on likely consequences, thus this study presents a novel prompt quantitative risk assessment method. The proposed method accurately predicts the number of affected buildings and potential fatalities, contributing to the advancement of landslide emergency management from hazard-informed to risk-informed.
JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING
(2023)
Review
Engineering, Geological
Liang Gao, Limin Zhang, Yang Hong, Hong-Xin Chen, Shi-Jin Feng
Summary: Modelling storm water flows in urban areas is essential for designing coping strategies and making decisions. This study summarises methodologies for simulating flood processes and evaluating flood hazards in urban environment and proposes a framework for urban flood hazard prediction. Multidisciplinary techniques are needed to estimate input data and enhance the efficiency and accuracy of flood evaluation.
GEORISK-ASSESSMENT AND MANAGEMENT OF RISK FOR ENGINEERED SYSTEMS AND GEOHAZARDS
(2023)
Article
Engineering, Geological
Tianzheng Li, Limin Zhang, Wenping Gong, Huiming Tang
Summary: A model based on the discrete element method is proposed to investigate the damage of fractured rocks induced by cyclic freezing-thawing. The model considers cracks as interconnected interparticle pores and simulates the frost heave pressure on the rock grains surrounding the cracks. By classifying cracks connected to the atmosphere as inactive, computational cost and time are reduced. The proposed methodology can be applied to study large-scale problems such as glacier slope instability or landslides.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
(2023)
Article
Engineering, Environmental
Jian He, Limin Zhang, Te Xiao, Haojie Wang, Hongyu Luo
Summary: This paper proposes a deep learning-enabled super-resolution hydrodynamic flood analysis method to simulate real-time pluvial flooding process. The method produces high-resolution flow depth and velocity predictions, providing comprehensive information for flood emergency management.
Article
Engineering, Geological
M. Kamali Zarch, L. M. Zhang, S. M. Haeri, Z. D. Xu
Summary: The rheological behavior of dilute soil-water mixtures, including hyperconcentrated mixtures and interstitial fluids in debris flows, can have a significant impact on the flow dynamics of flow-type landslides. However, the effects of soil type and texture on the rheological behavior of these mixtures are not well understood. This study uses a narrow-gap rotational viscometer to investigate the interactions between colloidal and non-colloidal particles and the possibility of flow regime change. The results demonstrate the applicability of the Bingham model in describing the bulk rheological behavior of dilute mixtures.
CANADIAN GEOTECHNICAL JOURNAL
(2023)
Article
Engineering, Civil
A. R. Ibrahim, D. A. Makhloof
Summary: The unavoidable heterogeneity in the mechanical characteristics of concrete is crucial to consider in the design of high-rise buildings. This study investigates the spatial variability of material properties and proposes a framework to capture the stochastic response and assess the reliability of structural components. The results demonstrate the importance of accounting for material uncertainty in ensuring the safety of high-rise buildings.
Article
Engineering, Civil
Zhiqiang Wan
Summary: This paper emphasizes the importance of global sensitivity analysis for stochastic dynamical systems with multiple uncertain parameters and proposes a global sensitivity index suitable for this purpose. The research findings demonstrate that the proposed approach exhibits high efficiency and accuracy.
Article
Engineering, Civil
Max Ehre, Iason Papaioannou, Daniel Straub
Summary: Reliability sensitivity analysis is a method to measure the influence of uncertain input parameters on the probability of failure in a system. Statistically dependent inputs pose challenges in computing and interpreting sensitivity indices. This study introduces a separation of effects between the probabilistic model and computational model to compute the independent and full contributions of all inputs. By using hierarchically structured isoprobabilistic transformations, the full set of variance-based sensitivity indices can be computed with a single set of failure samples obtained from a rare event estimation method.
Article
Engineering, Civil
Ze Yuan, Quanwang Li, Kefei Li
Summary: This paper proposes a method to determine a measurement plan for durability assessment of concrete structures, by calibrating the models using Bayesian updating and linear fitting in order to achieve the required accuracy. The paper establishes probabilistic time-dependent models for surface chloride concentration and chloride diffusion coefficient, and discusses the key factors affecting the accuracy of the models.
Article
Engineering, Civil
Ziqi Wang
Summary: This study addresses the fundamental limitation of equivalent linearization methods in nonlinear random vibration analysis, proposing a method to construct an estimator that converges on the nonlinear system solution using a limited number of nonlinear system simulations and optimizing the equivalent linear system to approach the nonlinear system solution quickly, especially for rare event probabilities.
Article
Engineering, Civil
Min Li, Srinivasan Arunachalam, Seymour M. J. Spence
Summary: This paper presents a multi-fidelity approach for computing small failure probabilities in engineering systems. By integrating information from different levels of model fidelity, the required number of high-fidelity model runs is reduced while maintaining accuracy in estimating failure probabilities.
Article
Engineering, Civil
Aritra Chatterjee, Trisha Chakravorty, Baidurya Bhattacharya
Summary: This paper presents a methodology to determine the system reliability of commonly used steel moment connections that have been designed according to current element based procedures. A general expression is derived to modify element resistance factors and meet specified system reliability targets.
Article
Engineering, Civil
Yuanqin Tao, Kok-Kwang Phoon, Honglei Sun, Jianye Ching
Summary: This study derives theoretical and approximate variance reduction functions (VRFs) for a potential inclined slip line in a spatially variable soil. The study investigates one-dimensional (1D) VRFs and proposes approximate VRFs for the one-dimensional Whittle-Mate 'rn (WM) model and the one-dimensional cosine Whittle-Mate 'rn (CosWM) model. The paper also derives theoretical scales of fluctuation and VRFs for commonly used two-dimensional autocorrelation models and proposes general approximations for the VRF over an inclined line.
Article
Engineering, Civil
Amir H. Khodabakhsh, Seid H. Pourtakdoust
Summary: The Fokker-Plank-Kolmogorov (FPK) equation is a crucial model for understanding and improving the performance of engineering systems. However, its solution is challenging due to its high dimensionality. This study introduces FPK-DP Net, a physics-informed network that can effectively solve high-dimensional FPK equations and demonstrates its applicability and accuracy through numerical implementations on benchmark problems.
Article
Engineering, Civil
Wouter Jan Klerk, Vera van Bergeijk, Wim Kanning, Rogier Wolfert, Matthijs Kok
Summary: This paper examines the reliability of flood defence systems under shock-based degradation and compares different maintenance concepts. The results show that the current maintenance concept fails to meet the reliability requirements for revetment failure. Additional inspections and targeted interventions can significantly reduce total cost and improve the robustness of flood defence systems.
Article
Engineering, Civil
Xuejing Wang, Xin Ruan, Joan R. Casas, Mingyang Zhang
Summary: This paper proposes a probabilistic Gaussian mixture model for simulating heavy vehicle scenarios on long-span bridges under free-flow conditions. The study utilizes a non-stationary Poisson process to simulate the uneven occurrence of heavy vehicles in different lanes, considering the correlation of gross vehicle weights within close range. The results show that the correlation and stationarity of vehicle distribution location significantly affect the structural responses.
Article
Engineering, Civil
Jianhua Xian, Ziqi Wang
Summary: This study presents an importance sampling formulation based on adaptively relaxing parameters, providing a unified framework for various existing variance reduction techniques and laying the foundation for creating new importance sampling strategies. It proposes two importance sampling strategies for low-dimensional and high-dimensional problems, which are crucial for fragility analysis in performance-based engineering.
Article
Engineering, Civil
Chi Xu, Jun Chen, Jie Li
Summary: This study proposes a new algorithm to determine the probability distributions of the live load duration and compares the results with Monte Carlo simulation. The algorithm allows the exact determination of design live loads based on a predefined exceeding probability, providing guidance for engineering design.
Article
Engineering, Civil
Hongyuan Guo, You Dong, Emilio Bastidas-Arteaga
Summary: This paper presents a general reliability assessment framework for RC structures based on a Mixed Bayesian network, taking into account environmental parameters, chloride transport, and concrete crack inspection. The case study reveals that early detection of large cracks may lead to an overestimation of failure probability by about 500%.
Article
Engineering, Civil
Changle Peng, Cheng Chen, Tong Guo, Weijie Xu
Summary: Reliability Analysis (RA) is critical in structural design and performance evaluation. This study proposes a novel learning function, SEUR, for surrogate model-assisted RA to improve efficiency and accuracy. The SEUR function is demonstrated to be more effective and efficient in dealing with nonlinear problems, small probabilities, and complex limit states.
