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RISSeries System Reliability of Uncertain Linear Structures under Gaussian Excitation by Cross Entropy–Based Importance Sampling
Publisher: ASCE
Abstract: We present an adaptive importance sampling (IS) method to estimate the reliability of linear structures with parameter uncertainties that are subjected to Gaussian process excitation. Structural failure is defined as a ...
Closure to “Transitional Markov Chain Monte Carlo: Observations and Improvements” by Wolfgang Betz, Iason Papaioannou, and Daniel Straub
Publisher: American Society of Civil Engineers
Erratum for “Transitional Markov Chain Monte Carlo: Observations and Improvements” by Wolfgang Betz, Iason Papaioannou, and Daniel Straub
Publisher: American Society of Civil Engineers
Transitional Markov Chain Monte Carlo: Observations and Improvements
Publisher: American Society of Civil Engineers
Abstract: The Transitional Markov chain Monte Carlo (TMCMC) method is a widely used method for Bayesian updating and Bayesian model class selection. The method is based on successively sampling from a sequence of distributions that ...
Optimization of Site-Exploration Programs for Slope-Reliability Assessment
Publisher: ASCE
Abstract: Site investigation through boreholes, such as vane shear tests or cone penetration tests, provides an effective means to assess the performance of geotechnical sites. Boreholes should be located such that they provide a ...
Data-Driven Predictive Maintenance for Gas Distribution Networks
Publisher: ASCE
Abstract: A generic data-driven approach is presented that employs machine learning to predict the future reliability of components in utility networks. The proposed approach enables utilities to implement a predictive maintenance ...
Hybrid Bayesian Networks for Reliability Assessment of Infrastructure Systems
Publisher: ASCE
Abstract: Bayesian networks (BNs) facilitate the establishment and communication of complex and large probabilistic models that are best characterized through local dependences and hierarchical structures. In addition, they enable ...
Adaptive Monte Carlo Methods for Estimating Rare Events in Power Grids
Publisher: American Society of Civil Engineers
Abstract: This paper presents a comprehensive study on rare event estimation in power grids, focusing on state-of-the-art adaptive Monte Carlo algorithms. Building upon IEEE benchmarks, we analyze the pros and cons of each adaptive ...
Adaptive Monte Carlo Methods for Estimating Rare Events in Power Grids
Publisher: American Society of Civil Engineers
Abstract: This paper presents a comprehensive study on rare event estimation in power grids, focusing on state-of-the-art adaptive Monte Carlo algorithms. Building upon IEEE benchmarks, we analyze the pros and cons of each adaptive ...