Article
Engineering, Civil
Gareth Calvert, Luis Neves, John Andrews, Matthew Hamer
Summary: Bridges are critical assets for transportation networks, and infrastructure asset managers are responsible for ensuring their safe operation. A life cycle analysis is conducted to consider the interactions between different defects and maintenance interventions. The study utilizes a dynamic Bayesian network and Petri net model to model multiple defect deterioration and conduct life cycle analysis incorporating multiple condition indicators.
ENGINEERING STRUCTURES
(2021)
Article
Construction & Building Technology
Xin Chen, Qingsong Zhang, Rentai Liu, Xiaofeng Wang, Wanli He
Summary: Inspection robots are rarely used in metro tunnels due to the unbalanced technical indicators. This study proposes a method to develop a maintenance strategy and assess the life-cycle cost of inspection robots in metro tunnels. It is found that the inspection cycle has a non-linear relationship with the life-cycle cost, and the detection accuracy of the inspection subject is negatively correlated with the cost. An evaluation model is established to guide the intervention indexes of the inspection robot.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2023)
Article
Construction & Building Technology
Yaning Qiao, Yaru Guo, Anne M. K. Stoner, Joao Santos
Summary: Highway agencies are under pressure to repair and replace underfunded and aged road pavement networks. This paper presents a comprehensive system that combines climate projections, pavement performance predictions, maintenance and rehabilitation strategies, and cost analysis to help agencies incorporate the long-term effects of climate change and make informed decisions with limited budgets.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Article
Engineering, Civil
Pierclaudio Savino, Francesco Tondolo
Summary: Nowadays, the growing number of aging civil infrastructures worldwide, especially when concrete is involved, presents a major issue in the field of civil engineering, as cracking and delamination can occur. To ensure safety and prevent extensive damage, routine inspections and maintenance are necessary. However, due to limited inspection resources and budget management efficiency, automation technology is needed to develop more effective inspection processes. This paper introduces a pixel-wise classification method that uses semantic segmentation network to automatically detect and quantify concrete defects from images. Experimental results show promising accuracy, indicating the potential integration of this model into a digital management system for civil infrastructure inspections and digital transformation.
JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING
(2023)
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
Green & Sustainable Science & Technology
Filipe Batista Ribeiro, Filipe Almeida Correa Do Nascimento, Marcelino Aurelio Viera Da Sliva
Summary: This study aims to analyze the potential global warming impact of railway infrastructure projects through a comprehensive life cycle assessment method. The results show that using sub-ballast without alternative materials is the best choice, and a soil-cement mixture can increase the sub-ballast's support capacity. Hot mix asphalt demonstrates the highest potential global warming effects.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Green & Sustainable Science & Technology
Mo Wang, Biyi Chen, Dongqing Zhang, Haojun Yuan, Qiuyi Rao, Shiqi Zhou, Jianjun Li, Wen Wang, Soon Keat Tan
Summary: Rapid urbanization and climate change have made cities more vulnerable to flooding. Traditional centralized drainage systems are ineffective, and decentralized systems show better environmental and economic performance. A study in Guangzhou, China found that decentralized systems outperformed centralized systems in terms of both environmental impact and economic cost-effectiveness.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Construction & Building Technology
Andre Petersen, Ana Silva, Marco Gonzalez
Summary: This research evaluates the impact of maintenance actions on painted renderings and finds that maintenance actions can extend the service life of the coatings.
Article
Construction & Building Technology
Andre Petersen, Ana Silva, Marco Gonzalez
Summary: Theoretical studies suggest that maintenance improves the state of conservation of buildings and components, increasing their durability and service life. This study proposes a methodology to estimate the impact of imperfect maintenance actions on the degradation condition of painted renderings in external walls, based on an extensive fieldwork survey evaluating the timing and the effect of different maintenance actions on the life cycle of these claddings.
Article
Engineering, Industrial
Dooyoul Lee, Kybeom Kwon
Summary: In this study, a Dynamic Bayesian network (DBN) model is developed to accurately represent the aircraft structural integrity program (ASIP) method and update the crack length distribution based on nondestructive testing (NDT) reliability and repair crack length distribution. The proposed model overcomes limitations of existing models by appropriately considering the repair crack length distribution and has a wide range of applications.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Industrial
Hongyan Dui, Yaohui Lu, Liwei Chen
Summary: This paper discusses the four phases of the system life cycle and the different costs associated with each phase. It proposes an improvement importance method to optimize system reliability and analyzes the process of failure risk under limited resources.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Environmental Studies
Yuzhao Han, Hui Li, Jiawen Liu, Ning Xie, Ming Jia, Yang Sun, Shuo Wang
Summary: In order to achieve carbon neutrality, it is crucial to quantify carbon emissions to support policy implementation. This study proposes a calculation method for carbon emissions from road infrastructure in a Demonstration Zone in China based on life cycle assessment. Through scenario analysis, the study quantifies the current carbon emissions and analyzes the trend and characteristics of carbon emissions from road infrastructure from 2020 to 2060 in four scenarios. The results show that carbon emissions fluctuate between 20 kt and 540 kt CO2 from 2013 to 2019, with a significant increase in 2014 due to the surge in road mileage. In the first three scenarios, carbon emissions show an increasing trend after 2030, with annual growth rates of 1.12%, 0.57%, and 0.27% respectively. However, in the optimal scenario, the peak year for carbon emissions is 2024, with peak emissions of 649.333 kt CO2, representing a 245% increase over the base year.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2023)
Article
Operations Research & Management Science
Jie Zhou, Hong-Zhong Huang, Yan-Feng Li, Junyu Guo
Summary: In this study, a probabilistic method is utilized to estimate the uncertainties of materials and working conditions, and to analyze the fatigue evolution process with an improved model. Fatigue parameters are modeled using Bayesian theory and finite element analysis. The distributions of parameters are transformed into the distribution of fatigue life using a probabilistic method, and a damage accumulation model is chosen to characterize the regulation evolution of properties. The reliability of structures is estimated using a general probabilistic method.
ANNALS OF OPERATIONS RESEARCH
(2022)
Review
Construction & Building Technology
Theodora Vagdatli, Kleopatra Petroutsatou
Summary: This paper presents a comprehensive systematic literature review on the methodological perspective of Cost-benefit analysis (CBA), aiming to identify its current modelling approaches and scrutinize their key features and tools. Fifty-six relevant studies from 2005 to 2020 were extracted. The analysis revealed eight distinct modelling categories used for CBA implementation, each with three different modelling approaches. Three main knowledge gaps were identified regarding the updating of inputs, interdependent framework, and cost datasets for road projects. Future research directions and a conceptual framework for more reliable CBA modelling were proposed.
Article
Construction & Building Technology
Mo Wang, Yu Zhang, Dongqing Zhang, Yingsheng Zheng, Shan Li, Soon Keat Tan
Summary: Recent studies show that combining grey infrastructure with low-impact development is a promising approach for urban stormwater management. Coupled solutions in high-density catchments are economically competitive and show better technology-based resilience in extreme weather conditions. Meanwhile, operational resilience is more robust in coupled-systems compared to GREI-only systems.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Engineering, Mechanical
Jianye Ching, Zhiyong Yang, Kok-Kwang Phoon
Summary: The study introduces a probabilistic site characterization method, enhancing the original SBL method to accommodate the more common nonlattice data while maintaining computational efficiency.
JOURNAL OF ENGINEERING MECHANICS
(2021)
Article
Engineering, Geological
T. Lansivaara, K. K. Phoon, J. Ching
Summary: The choice of characteristic values in civil and geotechnical engineering is crucial, requiring a balance between statistical, mechanistic, and practical considerations to avoid overly simplistic approaches leading to unsafe designs. Engineers need to increase the value of data in decision-making to push the industry towards a more digital economy.
GEORISK-ASSESSMENT AND MANAGEMENT OF RISK FOR ENGINEERED SYSTEMS AND GEOHAZARDS
(2022)
Editorial Material
Engineering, Geological
Yu Wang, Wengang Zhang, Xiaohui Qi, Jianye Ching
GEORISK-ASSESSMENT AND MANAGEMENT OF RISK FOR ENGINEERED SYSTEMS AND GEOHAZARDS
(2022)
Article
Engineering, Geological
Jianye Ching, Kok-Kwang Phoon, Zhiyong Yang, Armin W. Stuedlein
Summary: This paper introduces an improved data-driven method for constructing a multivariate probability density function model for soil properties, extending the consideration of spatial variability. By adopting a hierarchical Bayesian model to learn cross-correlation among soil parameters in a soil database, a quasi-site-specific model is proposed.
GEORISK-ASSESSMENT AND MANAGEMENT OF RISK FOR ENGINEERED SYSTEMS AND GEOHAZARDS
(2022)
Article
Engineering, Geological
Kok-Kwang Phoon, Takayuki Shuku, Jianye Ching, Ikumasa Yoshida
Summary: This paper proposes eight benchmark examples and a benchmarking procedure for data-driven site characterization (DDSC) in geotechnical engineering, aiming to facilitate unbiased evaluation of emerging machine learning methods. The primary goal of DDSC is to apply a data-first agenda to real engineering projects by producing a 3D stratigraphic map and estimating engineering properties based on site investigation data.
GEORISK-ASSESSMENT AND MANAGEMENT OF RISK FOR ENGINEERED SYSTEMS AND GEOHAZARDS
(2022)
Article
Engineering, Geological
Kok-Kwang Phoon, Zi-Jun Cao, Zhongqiang Liu, Jianye Ching
Summary: The ISSMGE TC309/TC304/TC222 Third Machine Learning in Geotechnics Dialogue discussed the potential and impact of digital transformation in the field of geotechnical engineering. Although the application of digital technologies is still in its infancy, greater collaboration and education can drive the progress of the industry.
GEORISK-ASSESSMENT AND MANAGEMENT OF RISK FOR ENGINEERED SYSTEMS AND GEOHAZARDS
(2023)
Article
Engineering, Mechanical
Atma Sharma, Jianye Ching, Kok-Kwang Phoon
Summary: This paper proposes a novel Bayesian similarity measure for extracting similar geotechnical sites from a database. The method allows for a more explainable interpretation of similarity and enables engineers to accept or reject similar sites based on their experiences and judgment.
JOURNAL OF ENGINEERING MECHANICS
(2022)
Article
Computer Science, Interdisciplinary Applications
Ikumasa Yoshida, Yukihisa Tomizawa, Jianye Ching
Summary: This paper proposes a method to overcome the limitations in implementing the Kronecker-product (KP) formulation, specifically considering observation noise and nonlattice data. The method provides analytical solutions that are consistent with results without the KP formula. Numerical simulations confirm the reduction in computational cost achieved by using the KP formulation.
COMPUTERS AND GEOTECHNICS
(2023)
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
Engineering, Geological
Yu Lei, Jinsong Huang, Yifei Cui, Shui-Hua Jiang, Shengnan Wu, Jianye Ching
Summary: Landslides, a common mountain hazard, have the potential to cause significant casualties and economic losses. Effective management of landslide risks requires an understanding of their mechanisms and a quantification of associated risks. This article reviews two types of landslide risk assessments, namely hard and soft approaches, which focus on the mechanics and consequences of individual landslides and the quantification of hazard and vulnerability. It is hoped that this article will serve as a reference for future studies in landslide risk assessments.
GEORISK-ASSESSMENT AND MANAGEMENT OF RISK FOR ENGINEERED SYSTEMS AND GEOHAZARDS
(2023)
Article
Engineering, Civil
Kok-Kwang Phoon, Takayuki Shuku, Jianye Ching, Ikumasa Yoshida
ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART A-CIVIL ENGINEERING
(2023)
Article
Engineering, Civil
Jianye Ching, Ikumasa Yoshida
Summary: This paper benchmarks two data-driven site characterization methods, the sparse Bayesian learning (SBL) method and the Gaussian process regression (GPR) method, using virtual ground examples and a real ground example of cone penetration test (CPT) data. The SBL method produces a simple trend model by adopting sparse basis functions, while the GPR method produces a simple trend model by adopting a kernel function governed by few hyperparameters. The accuracy of the two methods in predicting the cone tip resistance (qt) and identifying soil layers is evaluated and compared, with the GPR method generally outperforming the SBL method. Further accuracy improvement for the GPR method can be achieved through clustering analysis based on the Robertson's soil behavior index (Ic).
ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART A-CIVIL ENGINEERING
(2023)
Proceedings Paper
Construction & Building Technology
Kok-Kwang Phoon, Jianye Ching
Summary: One challenge in geotechnical engineering is the quantification of site uniqueness, as there is currently no data-driven method to do so. This means that similar sites cannot be automatically identified from big indirect data (BID), and there is no way to combine sparse site-specific data with BID to create a more accurate and less biased model. This paper presents four methods that address this challenge and construct a quasi-site-specific transformation model between undrained shear strength and normalized cone tip resistance, including hybridization, hierarchical Bayesian model, record similarity method, and site similarity method. These similarity methods provide explicit lists of similar sites for inspection.
5TH INTERNATIONAL CONFERENCE ON NEW DEVELOPMENTS IN SOIL MECHANICS AND GEOTECHNICAL ENGINEERING, ZM 2022
(2023)
Article
Engineering, Geological
Kok-Kwang Phoon, Jianye Ching, Takayuki Shuku
Summary: Data-driven site characterisation, relying solely on measured data for site description, is crucial for industries undergoing rapid digital transformation. Challenges include data quality, accuracy, and practicality in application.
GEORISK-ASSESSMENT AND MANAGEMENT OF RISK FOR ENGINEERED SYSTEMS AND GEOHAZARDS
(2022)
Article
Engineering, Geological
Mohammad Tabarroki, Jianye Ching, Kok-Kwang Phoon, Ying-Zhong Chen
Summary: Spatial variability in soil shear strength affects the occurrence of the ultimate limit state through spatial averaging and weak-zone seeking. This paper calibrates the weakest-path model to capture both effects and proposes a simplified formula to determine a mobilisation-based characteristic value.
GEORISK-ASSESSMENT AND MANAGEMENT OF RISK FOR ENGINEERED SYSTEMS AND GEOHAZARDS
(2022)
Article
Engineering, Industrial
Mateusz Oszczypala, Jakub Konwerski, Jaroslaw Ziolkowski, Jerzy Malachowski
Summary: This article discusses the issues related to the redundancy of k-out-of-n structures and proposes a probabilistic and simulation-based optimization method. The method was applied to real transport systems, demonstrating its effectiveness in reducing costs and improving system availability and performance.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Wencheng Huang, Haoran Li, Yanhui Yin, Zhi Zhang, Anhao Xie, Yin Zhang, Guo Cheng
Summary: Inspired by the theory of degree entropy, this study proposes a new node identification approach called Adjacency Information Entropy (AIE) to identify the importance of nodes in urban rail transit networks (URTN). Through numerical and real-world case studies, it is found that AIE can effectively identify important nodes and facilitate connections among non-adjacent nodes.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Hongyan Dui, Yaohui Lu, Liwei Chen
Summary: This paper discusses the four phases of the system life cycle and the different costs associated with each phase. It proposes an improvement importance method to optimize system reliability and analyzes the process of failure risk under limited resources.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Xian Zhao, Chen Wang, Siqi Wang
Summary: This paper proposes a new rebalancing strategy for balanced systems by switching standby components. Different switching rules are provided based on different balance conditions. The system reliability is derived using the finite Markov chain imbedding approach, and numerical examples and sensitivity analysis are presented for validation.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Fengyuan Jiang, Sheng Dong
Summary: Corrosion defects are the primary causes of pipeline burst failures. The traditional methodologies ignore the effects of random morphologies on failure behaviors, leading to deviations in remaining strength estimation and reliability analysis. To address this issue, an integrated methodology combining random field, non-linear finite element analysis, and Monte-Carlo Simulation was developed to describe the failure behaviors of pipelines with random defects.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Guoqing Cheng, Jiayi Shen, Fang Wang, Ling Li, Nan Yang
Summary: This paper investigates the optimal joint inspection and mission abort policies for a multi-component system with failure interaction. The proportional hazards model is used to characterize the effect of one component's deterioration on other components' hazard rates. The optimal policy is studied to minimize the expected total cost, and some structural properties of the optimal policy are obtained.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Hongyan Dui, Yaohui Lu, Shaomin Wu
Summary: A new resilience model is proposed in this paper for systems under competing risks, and related indices are introduced for evaluating the system's resilience. The model takes into account the degradation process, external shocks, and maintenance interactions of the system, and its effectiveness is demonstrated through a case study.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Yang Li, Jun Xu
Summary: This paper proposes a translation model based on neural network for simulating non-Gaussian stochastic processes. By converting the target non-Gaussian power spectrum to the underlying Gaussian power spectrum, non-Gaussian samples can be generated.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Yanyan Liu, Keping Li, Dongyang Yan
Summary: This paper proposes a new random walk method, CBDRWR, to analyze the potential risk of railway accidents. By combining accident causation network, we assign different restart probabilities to each node and improve the transition probabilities. In the case study, the proposed method effectively quantifies the potential risk and identifies key risk sources.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Nan Hai, Daqing Gong, Zixuan Dai
Summary: The current risk management of utility tunnel operation and maintenance is of low quality and efficiency. This study proposes a theoretical model and platform that offer effective decision support and improve the safety of utility tunnel operation and maintenance.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Tomoaki Nishino, Takuya Miyashita, Nobuhito Mori
Summary: A novel modeling methodology is proposed to simulate cascading disasters triggered by tsunamis considering uncertainties. The methodology focuses on tsunami-triggered oil spills and subsequent fires and quantitatively measures the fire hazard. It can help assess and improve risk reduction plans.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Mingjiang Xie, Yifei Wang, Jianli Zhao, Xianjun Pei, Tairui Zhang
Summary: This study investigates the effect of rockfall impact on the health management of pipelines with fatigue cracks and proposes a crack propagation prediction algorithm based on rockfall impact. Dynamic SIF values are obtained through finite element modeling and a method combining multilayer perceptron with Paris' law is used for accurate crack growth prediction. The method is valuable for decision making in pipeline reliability assessment and integrity management.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Saeed Jamalzadeh, Lily Mettenbrink, Kash Barker, Andres D. Gonzalez, Sridhar Radhakrishnan, Jonas Johansson, Elena Bessarabova
Summary: This study proposes an integrated epidemiological-optimization model to quantify the impacts of weaponized disinformation on transportation infrastructure and supply chains. Results show that disinformation targeted at transportation infrastructure can have wide-ranging impacts across different commodities.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Jiaxi Wang
Summary: This paper investigates the depot maintenance packet assignment and crew scheduling problem for high-speed trains. A mixed integer linear programming model is proposed, and computational experiments show the effectiveness and efficiency of the improved model compared to the baseline one.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Yuxuan Tian, Xiaoshu Guan, Huabin Sun, Yuequan Bao
Summary: This paper proposes a DFMs searching algorithm based on the graph neural network (GNN) to improve computational efficiency and adaptively identify DFMs. The algorithm terminates prematurely when unable to identify new DFMs.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
