Article
Engineering, Civil
Shuzhi Gao, Yunkun Zhao, Xudong Zhao, Yimin Zhang
Summary: In this study, a new response surface method is proposed to address the high computational cost in traditional reliability analysis methods. This method uses polynomial fitting to approximate the limit state function, reducing computational complexity. Improvements and innovations are made in the selection of sample point locations, calculation of experimental points, search strategy, and iterative control strategy.
Article
Computer Science, Interdisciplinary Applications
Yi-Jian Yang, Dian-Qing Li, Zi-Jun Cao, Guo-Hui Gao, Kok-Kwang Phoon
Summary: This study proposes an efficient full probabilistic design method using the advanced Monte Carlo simulation algorithm, known as generalized Subset Simulation (GSS), which introduces the concept of a design response vector to explore failure domains of different designs simultaneously. The approach determines feasible design domains for different geotechnical limit states by a single GSS run, providing significant computational savings and linking MCS-based full probabilistic design to semi-probabilistic design through back-calculating resistance factors based on failure samples.
COMPUTERS AND GEOTECHNICS
(2021)
Article
Engineering, Civil
Kiyanoosh Malakzadeh, Maryam Daei
Summary: This paper presents an algorithm for calculating the design point using the modified importance-sampling method. By improving the standard deviation of the sampling density function, the proposed algorithm is able to calculate the reliability index and design point using a small number of random samples, even for nonlinear problems with correlated random variables.
Article
Engineering, Civil
Jorge Mendoza, Jannie S. Nielsen, John D. Sorensen, Jochen Koehler
Summary: Lattice systems, such as offshore jackets and towers, are weight-efficient support structures for wind energy and oil and gas units. However, their lightweight design increases the risk of fatigue failure. Therefore, special attention should be given to the design of fatigue hot spots, and system-level fatigue design methods can improve the system's reliability. In this study, a truncation algorithm is proposed to estimate the system reliability within feasible computational time.
Article
Computer Science, Information Systems
Shui Yu, Yun Li
Summary: This paper introduces an active learning Kriging technique to enhance the computational efficiency of time-dependent reliability analysis. By utilizing a Kriging model as a response surface to fit extreme value responses and developing an adaptive iterative algorithm for updating the model with sampling points, the method aims to improve accuracy and effectiveness in engineering problems. Multiple case studies are conducted to validate the proposed approach.
Article
Chemistry, Multidisciplinary
Shuang Zhou, Jianguo Zhang, Qingyuan Zhang, Ying Huang, Meilin Wen
Summary: This paper proposes an efficient uncertainty theory-based reliability analysis and design method to address the trade-offs between safety and cost in the early stage of structural design. It introduces the concept of uncertain measure and uses URI to estimate the reliable degree of structure. A URI-based design optimization model (URBDO) is constructed to tackle the problem of insufficient data in reliability analysis.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Interdisciplinary Applications
Dequan Zhang, Jingke Zhang, Meide Yang, Rong Wang, Zeping Wu
Summary: This study addresses the inefficiency of the finite step length (FSL) method in dealing with complex nonlinear problems and proposes an enhanced finite step length (EFSL) method, which is applied to reliability-based design optimization (RBDO). By introducing an iterative control criterion and a comprehensive step length adjustment formula, the EFSL method achieves fast convergence for limit state functions with varying degrees of nonlinearity. The proposed method is combined with the double loop method (DLM) to improve efficiency and robustness in solving complex RBDO problems.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2022)
Article
Construction & Building Technology
Zhi-Peng Li, Dong-Zhu Hu, Long-Wen Zhang, Zhen Zhang, Yue Shi
Summary: Leveraging the properties of L-moments, this study proposes an effective normal transformation for structural reliability analysis considering correlated input random variables, and provides the admissible range of the initial correlation matrix. A practical procedure based on the proposed transformation and FROM is introduced to handle unknown joint PDFs or marginal PDFs. Compared to the method using C-moments, the proposed method based on L-moments shows broader applicability. Various practical scenarios demonstrate its effectiveness and precision in calculating the structural reliability index.
Article
Computer Science, Artificial Intelligence
David Lehky, Martina Somodikova, Martin Lipowczan
Summary: This paper discusses the pitfalls of using response surface methods in solving inverse problems and proposes an adaptive artificial neural network-based inverse response surface method. The method combines the adaptive response surface method and artificial neural network-based inverse reliability analysis. The method's validity and accuracy are tested on multiple examples.
NEURAL COMPUTING & APPLICATIONS
(2022)
Article
Construction & Building Technology
Qi Li, Junmu Wang, Guoshao Su
Summary: Non-probabilistic reliability analysis has great potential in structural reliability analysis, especially when it is difficult to obtain accurate probability distribution functions. This study proposes a response surface method based on the grasshopper optimization algorithm, which approximates the implicit performance functions using a quadratic polynomial and improves computing efficiency with a dynamic response surface updating strategy.
Article
Engineering, Mechanical
Dongwei Gu, Wenbo Han, Jin Guo, Haoyu Guo, Song Gao, Xiaoyong Liu
Summary: This paper proposes an adaptive adding point strategy for structural reliability analysis in practical engineering, using a combination of Kriging surrogate model and learning function. The strategy ensures even distribution of sample points on both sides of the limit state function, preventing aggregation and redundancy, thereby improving accuracy and convergence speed. Results from system analysis demonstrate the effectiveness and efficiency of this method.
PROBABILISTIC ENGINEERING MECHANICS
(2023)
Article
Engineering, Industrial
Changcong Zhou, Hanlin Zhang, Marcos A. Valdebenito, Haodong Zhao
Summary: This paper introduces a general hierarchical ensemble-learning framework (ELF) for reliability analysis, which consists of two-layer models and three different phases. A novel method called CESM-ELF is proposed by embedding the classical ensemble of surrogate models (CESM) in the proposed ELF. The research results show that CESM-ELF outperforms CESM in prediction accuracy and is more efficient.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Engineering, Civil
Stuart G. Reid
Summary: Current reliability-based design Standards are limited by their reliance on imprecise estimates of failure probabilities, hindering risk-based decision-making. This paper introduces the concept of characteristic failure probability, providing a reliable basis for assessing the acceptability of extremely uncertain probabilities of structural failure.
Article
Engineering, Industrial
Jingwen Song, Yifan Cui, Pengfei Wei, Marcos A. Valdebenito, Weihong Zhang
Summary: Estimating design points accurately is crucial for reliability analysis and reliability-based design optimization. This research proposes two acquisition functions and develops a Constrained Bayesian Optimization method for actively learning high accuracy and globally converging design points. Additionally, an improved algorithm is introduced for adaptively learning design points far away from the origin.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Materials Science, Multidisciplinary
Xianzhen Huang, Chunmei Lv, Changyou Li, Yimin Zhang
Summary: This paper examines the reliability analysis of structures with multiple failure modes using a genetic memetic animal migration optimization algorithm for detecting optimum points, multi-point first-order reliability method for estimating failure probabilities, and saddlepoint approximation based second-order reliability method for system reliability analysis to enhance system reliability prediction accuracy.
MECHANICS OF ADVANCED MATERIALS AND STRUCTURES
(2022)
Article
Construction & Building Technology
Abu Bakar Nabilah, Chan Ghee Koh, Nor Azizi Safiee, Noor Azline Mohd Nasir
PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-STRUCTURES AND BUILDINGS
(2020)
Article
Computer Science, Interdisciplinary Applications
Ze-Zhou Wang, Siang Huat Goh, Chan Ghee Koh, Ian F. C. Smith
COMPUTERS AND GEOTECHNICS
(2019)
Article
Engineering, Civil
Wen-Jun Cao, Chan Ghee Koh, I. F. C. Smith
ENGINEERING STRUCTURES
(2019)
Article
Engineering, Multidisciplinary
Wen-Jun Cao, Shanli Zhang, Numa J. Bertola, I. F. C. Smith, C. G. Koh
Summary: The study uses a model updating strategy to identify the size of wheel flats, and proposes a model-falsification approach that explicitly includes uncertainties, which is essential for accurately evaluating the wheel-flat size.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2023)
Article
Engineering, Geological
Ze-Zhou Wang, Siang Huat Goh, Chan Ghee Koh, Ian F. C. Smith
INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS
(2020)
Article
Construction & Building Technology
Abu Bakar Nabilah, Chan Ghee Koh, Abd. Karim Izian, Farah Nora Aznieta Abd Aziz
INTERNATIONAL JOURNAL OF CONCRETE STRUCTURES AND MATERIALS
(2020)
Article
Engineering, Civil
Wen-Jun Cao, C. G. Koh, I. F. C. Smith
Summary: The development of new materials and advanced technologies has led to longer, taller, and lighter footbridges with increasing aesthetic requirements. Vibration serviceability often governs the design of footbridges due to their susceptibility to vibrations. This paper utilizes the EDMF method to assess vibration serviceability of two pedestrian bridges and highlights its accuracy in comparison to other data interpretation methodologies.
JOURNAL OF BRIDGE ENGINEERING
(2021)
Review
Engineering, Multidisciplinary
Hao Ge, David Chua Kim Huat, Chan Ghee Koh, Gonglian Dai, Yang Yu
Summary: This article comprehensively reviews ultrasonic rail inspection methods, focusing on the state-of-the-art technologies based on guided wave. It systematically describes different excitation options and their inspection sensitivities, regions, and potential speeds, while discussing future challenges and prospects. The article serves as a valuable reference for researchers in the field.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2022)
Article
Engineering, Civil
Balaji Kalluri, Sabarathinam Chockalingam, Umberto Alibrandi, Ashan Senel Asmone, Sumanth Manthapuri
ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART A-CIVIL ENGINEERING
(2022)
Article
Engineering, Mechanical
Umberto Alibrandi, Lars V. Andersen, Enrico Zio
Summary: This paper applies information theory to probabilistic sensitivity analysis and surrogate modelling with active learning. It introduces a new measure of dependence between random variables using the informational coefficient of correlation. The paper also presents effective informational sensitivity indices based on mutual information and proposes two novel learning functions for adaptive sampling. Numerical examples demonstrate the features and potential applications of the proposed approach.
PROBABILISTIC ENGINEERING MECHANICS
(2022)
Article
Engineering, Civil
Umberto Alibrandi
Summary: The digital twin is a virtual replica used to provide information about real-world objects. The risk-informed digital twin is a novel concept that integrates statistics and risk analysis methods for modeling and managing smart buildings and infrastructure systems.
ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART A-CIVIL ENGINEERING
(2022)
Article
Engineering, Marine
Min Luo, Chan Ghee Koh, Wei Xian Lee, Pengzhi Lin, Dominic E. Reeve
Article
Engineering, Civil
Wen-Jun Cao, Wang-Sheng Liu, C. G. Koh, I. F. C. Smith
JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING
(2020)
Article
Engineering, Geological
Abu Bakar Nabilah, Chan Ghee Koh, Nor Azizi Safiee, Nik Norsyahariati Nik Daud
INTERNATIONAL JOURNAL OF GEOTECHNICAL EARTHQUAKE ENGINEERING
(2019)
Proceedings Paper
Engineering, Marine
Hezhen Yang, Chan Ghee Koh, Ying Min Low, Peter Francis Bernad Adaikalaraj
PROCEEDINGS OF THE ASME 37TH INTERNATIONAL CONFERENCE ON OCEAN, OFFSHORE AND ARCTIC ENGINEERING, 2018, VOL 3
(2018)
