Article
Green & Sustainable Science & Technology
Husnain Arshad, Muhammad Jamaluddin Thaheem, Beenish Bakhtawar, Asheem Shrestha
Summary: This study develops a life cycle sustainability-based project evaluation tool for road infrastructure, including an assessment framework, an integration model, and a decision framework. Through interviews, analytical hierarchy process, and thematic analyses, a detailed and customized project assessment framework is established to help decision-makers select the most suitable project alternative.
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
Construction & Building Technology
Jiajun Du, Wei Wang, Ting Lou, Hongyu Zhou
Summary: A novel probabilistic multi-criteria decision-making (MCDM) framework is developed for sustainable and resilient building design solutions selection. The framework considers resilience metrics, environmental sustainability, and energy consumption, while evaluating earthquake-induced impacts and assessing energy use during the operational phase. The proposed framework demonstrates advantages over traditional frameworks and provides guidance for architectural design decisions.
JOURNAL OF BUILDING ENGINEERING
(2023)
Article
Green & Sustainable Science & Technology
Antonio J. Sanchez-Garrido, Ignacio J. Navarro, Victor Yepes
Summary: This paper examines the sustainability assessment of various modern construction techniques applied to concrete structures of single-family houses. By comparing the life cycle performance of different designs, it is found that considering the three dimensions of sustainability leads to balanced designs.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Green & Sustainable Science & Technology
Laura Brenes-Peralta, Fabio De Menna, Matteo Vittuari
Summary: This study uses Interpretive Structural Modeling to identify and model the factors driving decisions towards sustainable coffee practices. Through case studies of shaded-coffee farms, it was found that the farm stage contributes the most to costs and environmental impacts in green coffee production. Knowledge and costs were identified as key driving factors for farmers' decisions, followed by certification schemes, policies, and the cooperative system. Emissions, biodiversity, and climate change adaptation act as linking factors, while water resource utilization is the most dependent factor.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2022)
Article
Engineering, Industrial
Janne Hukkinen, Jussi T. Eronen, Nina Janasik, Sakari Kuikka, Annukka Lehikoinen, Peter D. Lund, Helmi Raisanen, Mikko J. Virtanen
Summary: The article discusses the challenges posed by changes in complex human-environmental systems to society, proposing the Policy Operations Room (POR) framework to help policymakers make more effective, evidence-based decisions to address future challenges.
Article
Construction & Building Technology
Bin Xue, Xingbin Chen, Bingsheng Liu, Dong Zhao, Zheng Zhang, Jung In Kim
Summary: A multidisciplinary decision-making process is required for sustainable infrastructure developments in the early design stage of integrated project delivery. This study formalized decision coordinators' rationales for converting sustainability performance scores assessed by decision makers to normalized ones based on preferred decision criteria. Two validated ontologies contribute to representing MDM rationales in infrastructure project management.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Article
Green & Sustainable Science & Technology
R. Rajesh
Summary: The study finds that in the process of achieving sustainability and resilience, companies are more willing to balance the relationship between the two, and often prefer to prioritize combining the two for implementation. Additionally, utilizing the grey target decision-making and trade-off implementation model can help senior management better identify and prioritize the conflicting attributes between sustainability and resilience.
JOURNAL OF CLEANER PRODUCTION
(2021)
Review
Green & Sustainable Science & Technology
Yasir Mahmood, Tanzina Afrin, Ying Huang, Nita Yodo
Summary: The oil and gas industry, although developed, faces challenges related to aging infrastructure, increasing costs, and environmental concerns. A robust and sustainable O&G infrastructure is needed to ensure uninterrupted supply, competitive prices, and better environmental performance. This paper examines sustainable development in the O&G industry from a holistic risk, reliability, and resilience perspective and provides valuable insights and recommendations for achieving long-term sustainability.
Article
Green & Sustainable Science & Technology
Daniel Philipp Mueller, Michael Hiete
Summary: Product life cycle assessment (LCA) and sustainability assessment have proven to be powerful methods for identifying sustainability hotspots and supporting decision making. The novel a posteriori visualization presented in this study integrates scenarios to account for different use options, allowing decision makers to select satisficing sustainable alternatives while considering differing weighting preferences for the three pillars of sustainability. This approach supports consensus building among decision makers and leads to a consensus in product selection for relevant scenarios, ultimately resulting in the selection of more robust alternatives under a variety of use cases.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
Labiba Noshin Asha, Ying Huang, Nita Yodo, Haitao Liao
Summary: This paper presents a novel quantitative approach for assessing sustainability risk in pipeline infrastructure systems and provides insights for holistic sustainability design in pipeline operations.
Article
Environmental Sciences
Milad Reyhani, Enrica Santolini, Daniele Torreggiani, Patrizia Tassinari
Summary: Mitigation of urban heat island effects is crucial for social and environmental sustainability, and green wall systems have gained attention as nature-based solutions. However, most studies only focus on the energy efficiency and performance of these systems during use, neglecting their overall environmental performance throughout the life cycle.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Construction & Building Technology
Sarah Namany, Rajesh Govindan, Marcello Di Martino, Efstratios N. Pistikopoulos, Patrick Linke, Styliani Avraamidou, Tareq Al-Ansari
Summary: This study analyzed the performance of the EWF sectors in the State of Qatar using an integrative assessment tool, finding that resilience is more critical than security and sustainability in the overall EWF nexus. The vulnerability of the three nexus sectors, particularly water and food, was revealed, emphasizing the need for future investments to secure stable and resilient availability of resources. The study offers a generic roadmap for countries to set national priorities based on evidence-informed performance assessments, reflecting optimal resource conditions and cost-effective decisions.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Environmental Sciences
Mo Wang, Yu Zhang, Amin E. Bakhshipour, Ming Liu, Qiuyi Rao, Zhongming Lu
Summary: Research suggests that combining low impact development (LID) and grey infrastructure (GREI) is an effective method to increase the resilience of urban drainage systems. This study proposes a comprehensive framework to assess the resilience of these coupled systems under various failure scenarios and uncertainties. The research finds that decentralized systems with greater flexibility are more cost-effective and show better technological resilience compared to GREI alone.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Engineering, Civil
Sunyong Kim, Dan M. Frangopol, Baixue Ge
Summary: This paper presents a novel probabilistic approach for optimum combined inspection and monitoring planning. By updating the parameters, the optimum planning can be achieved. The results demonstrate that the best inspection and monitoring application time, as well as monitoring duration, can be obtained through the decision-making process and the selection of Pareto front.
STRUCTURE AND INFRASTRUCTURE ENGINEERING
(2022)
Article
Engineering, Civil
Peng Yuan, You Dong, Ruiwei Feng, Dan M. Frangopol
Summary: This paper aims to assess the seismic fragility of vehicle-bridge-interaction (VBI) systems considering the effects of vehicle types, traffic conditions, and road surface qualities. A stochastic nonlinear mechanical model is developed for the earthquake-VBI system, and the derived fragility functions consider relevant probabilistic seismic demand parameters. The study includes numerical modeling of a typical bridge, analysis of 120 different ground motion records, and evaluation of 80 scenarios with varying vehicle types, speeds, and road surface irregularities. The results show that vehicle weight and speed have significant effects on pier drift, bearing shear strain, and overall VBI system fragility, while road surface quality has a negligible effect.
EARTHQUAKE ENGINEERING & STRUCTURAL DYNAMICS
(2023)
Article
Engineering, Civil
Xu Han, Dan M. M. Frangopol
Summary: Structural deterioration can be caused by multiple mechanisms, such as aging, corrosion, and fatigue, as well as sudden events like earthquakes and hurricanes. These mechanisms have a significant impact on the performance indicators of structural components and systems throughout their lifespan. Most existing studies on structural deterioration focus on the effect of a single mechanism in a deterministic context, so further research is needed to understand the joint effects of multiple deterioration mechanisms in a probabilistic context. This paper presents a risk-based optimal management strategy that considers corrosion and seismic hazards in a bridge network.
JOURNAL OF BRIDGE ENGINEERING
(2023)
Article
Engineering, Civil
Siyi Jia, Mitsuyoshi Akiyama, Bing Han, Huibing Xie, Dan M. Frangopol
Summary: This paper presents an inference framework for a stochastic volatility model (SVM) conditioned on the time-dependent deflection of prestressed concrete bridges (PSCBs). The framework includes a cyclic Markov chain Monte Carlo (MCMC) sampler to draw samples from the joint posterior distribution of the unobserved state variables and volatility parameters. The proposed framework supports accurate probabilistic analysis of the time-dependent deflection of PSCBs.
Article
Engineering, Civil
Minghui Cheng, Dan M. Frangopol
Summary: Managing bridge networks faces challenges in optimization due to uncertainties associated with climate change and socioeconomic growth. This paper proposes a scheme for knowledge transfer between scenarios to accelerate analysis. The scheme utilizes surrogate modeling and meta-learning to implement knowledge transfer and optimization.
Article
Construction & Building Technology
Xu Han, Dan M. M. Frangopol
Summary: This paper proposes a novel approach to obtain densely populated points locating on the failure surface and utilizing these points to conduct reliability analysis with direction sampling. Through these tests, it can be concluded that for the situation where the intersection between the direction vector and the failure surface is unique, the proposed approach will lead, with high accuracy, to a failure probability. For the situation where the intersection is not unique, satisfactory estimation of failure probabilities can also be achieved using approximation methods. For high-dimensional reliability problems, clustering techniques can be utilized to reduce the computational cost.
ADVANCES IN STRUCTURAL ENGINEERING
(2023)
Article
Engineering, Civil
Abdul Kadir Alhamid, Mitsuyoshi Akiyama, Koki Aoki, Shunichi Koshimura, Dan M. Frangopol
Summary: This paper presents a novel life-cycle risk assessment methodology for building portfolios subjected to tsunami hazards under non-stationary sea-level rise effects. The earthquake interarrival times are modeled using a non-Poisson process based on historical data, and tsunami hazard curves considering the effects of sea-level rise are estimated based on climate models. The time-variant annual risk is estimated based on reliability and building unit loss, and a numerical procedure is proposed to estimate the life-cycle tsunami risk of building portfolios.
EARTHQUAKE ENGINEERING & STRUCTURAL DYNAMICS
(2023)
Article
Engineering, Civil
Supasit Srivaranun, Mitsuyoshi Akiyama, Taiki Yamada, Dan M. Frangopol, Jiyu Xin
Summary: Chloride-induced corrosion of tensile rebars in reinforced concrete structures causes cracking in the concrete surface along corroded rebars. The width of these cracks could provide valuable information for estimating the amount of steel weight loss inside concrete beams. However, the distribution of cracks in beams with multiple rebars is affected by both the corrosion expansion of the corresponding rebar and that of adjacent rebars, resulting in a complex nonlinear relationship between crack width and amount of steel corrosion. A combined experimental-machine learning approach using generative adversarial networks (GANs) is developed in this study to estimate steel corrosion distributions in RC beams. A pix2pix network is trained using a dataset of steel weight loss generated based on random field theory and the distributions of corrosion crack widths constructed using finite element analysis. Monte Carlo-based FE analysis is then used to obtain the probability density function (PDF) of the flexural capacity for corroded RC beams. A case study is presented to investigate the effect of observed crack width distributions on the PDF of the flexural capacity for aging RC beams with spatially correlated rebar corrosion in transverse and longitudinal directions.
ENGINEERING STRUCTURES
(2023)
Article
Engineering, Civil
Weiming Chen, Changqing Gong, Ziqi Wang, Dan M. Frangopol
Summary: The increasing complexity of modern engineering systems has led to a shift in research focus towards system reliability with interdependent components. This paper proposes an improved FORM-based method, integrating orthogonal plane sampling, to tackle the curse of dimensionality for high-dimensional systems. The method constructs secant hyperplanes using orthogonal plane samples and computes the series system reliability as a high-dimensional multi-normal integral. Numerical examples demonstrate the accuracy and efficiency of the proposed method, which outperforms Monte Carlo simulation and conventional FORM.
ENGINEERING STRUCTURES
(2023)
Article
Construction & Building Technology
Alfred Strauss, Andre Orcesi, Andreas Lampropoulos, Bruno Briseghella, Dan M. Frangopol, Helder S. Sousa, Joan Casas, Jose C. Matos, Kristian Schellenberg, Matias Valenzuela, Mitsuyoshi Akiyama, Poul Linneberg, Rade Hajdin, Thomas Moser
Summary: Infrastructure systems, such as bridges, play a crucial role in the economic growth and sustainable development of countries. Decision-making in infrastructure management involves a combination of qualitative and quantitative data, models, and expert judgement. However, there is still a gap between implemented decision-making models and research, which calls for further research and training.
STRUCTURAL ENGINEERING INTERNATIONAL
(2023)
Article
Engineering, Civil
Nader M. Okasha, Mohamed Soliman, Sunyong Kim, Dan M. Frangopol, Abdel Kareem Alzo'ubi
Summary: In this paper, a member redundancy index based on the distributed static indeterminacy is derived to optimize the material distribution and redundancy distribution in structural systems.
ENGINEERING STRUCTURES
(2023)
Article
Engineering, Marine
Mohammad F. Tamimi, Mohamed Soliman, Omid Khandel
Summary: This paper presents a novel probabilistic approach for quantifying the reliability of ship hulls under propagating fatigue cracks. The approach utilizes the failure assessment diagram (FAD) to define the performance function of the hull and can account for various possible failure mechanisms. Monte Carlo simulation is used to quantify the failure probability and the reliability index of the ship hull.
Article
Engineering, Civil
Putri S. Firdaus, Hiroshi Matsuzaki, Mitsuyoshi Akiyama, Koki Aoki, Dan M. Frangopol
Summary: This study proposes a new method to assess the connectivity of bridge networks, considering the spatial correlation of flood and seismic hazards. By utilizing geostatistical linear models and stream network covariance models, the spatial correlation of a stream network is evaluated. The results demonstrate the importance of certain bridges in ensuring the connectivity of the road network, and show that improved network connectivity can be achieved through relevant retrofitting strategies.
STRUCTURE AND INFRASTRUCTURE ENGINEERING
(2023)
Article
Construction & Building Technology
Mohammad F. Tamimi, Mohamed Soliman, Ethan Stringer, Bruce W. Russell
Summary: This paper investigates the behavior of eccentrically loaded connections made by combining fillet welds and high-strength pretensioned bolts. New models are introduced for characterizing the load-deformation behavior of slip-resistant bolted connections with different faying surface conditions. The study shows that using the ICR method for designing these combination connections leads to highly reliable connections.
JOURNAL OF STRUCTURAL ENGINEERING
(2023)
Article
Engineering, Industrial
Yu Zhang, You Dong, Dan M. Frangopol
Summary: This paper proposes a new stopping criterion for the adaptive Kriging model with SDMCS, aiming to reduce the computational effort while maintaining accuracy in reliability analysis.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
