Browsing School of Engineering by Author "ICASP14"
Now showing items 1-20 of 409
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A Bayesian Approach for Inferring the Topology of a System of Interdependent Infrastructure Networks: A Case Study of the U.K. Interdependent Power-Gas System
Yu, Jinzhu; Wang, Yu; ICASP14; Baroud, Hiba (2023)Understanding the behavior of complex systems is essential to plan for future disasters that impact complex systems including infrastructure, social, and environmental systems. The complexity of the behavior of these systems ... -
A Bayesian Estimation Approach to the Post-Earthquake Recovery Trajectories of Electric Power Systems in Japan
Galasso, Carmine; Opabola, Eyitayo; ICASP14; Handa, Yuki (2023)Post-disaster recovery modelling of engineering systems has become an important facet of disaster risk management. The post-disaster recovery trajectory of a civil infrastructure system can be quantified using (a) their ... -
A Climate Change Impact Assessment of the Irish Road Drainage System
ICASP14; Wang, Jingyu; O’Brien, Enda; Holloway, Paul; Ryan, Páraic (2023)As climate change becomes an increasingly pressing issue, Ireland is expected to experience a rise in infrastructure failures caused by flooding. This puts significant stress on the country's drainage system, which is ... -
A closed-form non-stationary solution of fractional systems with order 1/2 subjected to stochastic excitation
Peng, Yongbo; ICASP14; Han, Renjie; Kong, Fan (2023)Abstract: This paper develops a novel method for determining a closed-form non-stationary stochastic response of linear systems with fractional derivative order 1/2 and subjected to stationary stochastic excitation. This ... -
A code calibration for heavy special transports on railway bridges
ICASP14; Leander, John (2023)The current paper summarizes a code calibration project for heavy special transports on railway bridges. The basis is the Swedish code for assessing existing bridges, which has a safety format based on partial factors. ... -
A collaborative Bayesian optimization method for estimation of failure probability bounds under mixed uncertainties
Wei, Pengfei; Beer, Michael; Faes, Matthias; ICASP14; Valdebenito, Marcos; Song, Jingwen; Hong, Fangqi (2023)Uncertainty quantification has been realized as of vital importance in structural reliability engineering to achieve credible results especially when the available information is scarce, incomplete, imprecise, etc., and ... -
A COMPARATIVE STUDY ON SAMPLING BASED ALGORITHMS FOR NETWORK RELIABILITY ASSESSMENT
Straub, Daniel; ICASP14; Chan, Jianpeng; Paredes, Roger; Papaioannou, Iason; Duenas-Osorio, Leonardo (2023)Infrastructure networks, such as electrical power grids, transportation and water supply systems, support critical societal functions of society. Failures of such networks can have severe consequences, and quantification ... -
A data-driven framework to support performance-based early design of buildings: data and methodology
Zaker Esteghamati, Mohsen; ICASP14 (2023)Achieving resilient and sustainable infrastructure urges developing computational tools to explicitly consider performance objectives in all design and construction stages. The majority of critical decisions are made at ... -
A Data-driven Methodology for Damage Detection of Roadway Bridges Using Stress Data Distributions
Scalvenzi, Martina; Asprone, Domenico; Parisi, Fulvio; ICASP14; Losanno, Daniele; Pastore, Tommaso; Mariniello, Giulio (2023)Knowing the health state of bridges and viaducts in complex infrastructures enables the structural risk management and optimization of maintenance actions. Real-time data collection from infrastructures subject to traffic ... -
A data-driven surrogate model for forecasting functionality states of transportation networks during extreme rainfall events based on the ConvLSTM method
ICASP14; Lin, Peihui; Wang, Naiyu; Wang, Junyan (2023)A quick foresight (or a short-term forecast) of highly probable functionality states of transportation networks under extreme rainfall events can provide excellent reference for proactive risk mitigation interventions, ... -
A Discrete Element-Based Monte Carlo Study for the Calibration of Cyclic Soil Degradation Models for Saturated Sands
Tombari, Alessandro; ICASP14; Maksimov, Fedor; Cacciola, Pierfrancesco (2023)Saturated sands under fast cyclic loading can experience excess pore pressure build-up that progressively, deteriorates the geotechnical characteristics of the soil sample, such as strength and stiffness. In extreme cases, ... -
A DPIM-based framework for reliability analysis of building structures under stochastic near-fault ground motions
ICASP14; Chen, Guohai; Yang, Dixiong (2023)Near-fault ground motions have the forward directivity effect and fling-step effect, both of which can produce the distinct long-period pulse in velocity time histories. Such velocity pulses with larger amplitude easily ... -
A Framework of Data-driven Seismic Performance Assessment of Structures using Earthquake Ground Motion Time Histories Generated by Machine Learning Techniques
Yuma, Matsumoto; Taro, Yaoyama; Tatsuya, Itoi; ICASP14; Takenori, Hida; Sangwon, Lee (2023)Observed ground motion time history records have been utilized in various ways to develop earthquake engineering. Especially in performance-based seismic design, dynamic response analysis is effective when strong motion ... -
A Generalized Framework for Reliability Assessment of Bridges using Adjusted Partial Safety and Combination Factors
ICASP14; Sýkora, Miroslav; Lenner, Roman; Caprani, Colin; Khan, Mohammad Shihabuddin (2023)Assessment of degrading infrastructure, particularly bridges, represents a growing challenge for structural engineers. While traditional strategies for bridge assessment, such as a code-based rating factor assessment, are ... -
A geo-statistical framework to reduce uncertainty in predictions of VS30 and other geotechnical variables
ICASP14; Pokhrel, Rama Mohan; Vardanega, Paul; De Luca, Flavia; De Risi, Raffaele; Gilder, Charlotte (2023)Geo-statistical modelling challenges arise when regional models in data-scarce regions are required. This is relevant when evaluating and dealing with geotechnical uncertainty in earthquake engineering applications. From ... -
A hybrid approach for deriving probability distributions of rock mass discontinuity parameters for slope reliability analysis
ICASP14; Jiang, Shui-Hua; Ouyang, Su; Papaioannou, Iason (2023)It is widely recognized that the rock mass discontinuity properties (e.g., dip angle and dip direction, trace length and aperture, cohesion and friction) can greatly affect the stability of rock slope. The discontinuity ... -
A kriging metamodel with adaptive sampling for seismic evaluation of podium buildings
Chen, Zhiyong; ICASP14; Huang, Yuying; Wong, Samuel (2023)In this paper, nonlinear time-history dynamic analyses of selected earthquake ground motions are conducted on designated wood-frame podium buildings and the resulting inter-story drifts are analyzed. We aim to construct a ... -
A machine learning-based approach to evaluate the fire resistance of timber columns
Banerji, Srishti; Zaker Esteghamati, Mohsen; ICASP14 (2023)Timber construction offers substantial advantages in terms of sustainability, ease of modular construction, and aesthetics. In recent years, structural members made from timber have been increasingly used in residential ... -
A Markovian framework for multi-hazard life-cycle consequence analysis of deteriorating structural systems
Iannacone, Leandro; ICASP14; Galasso, Carmine; Gentile, Roberto; Otárola, Kenneth (2023)Multiple-hazard (or simply multi-hazard) interactions are either disregarded or addressed inadequately in most existing computational risk modelling frameworks for natural hazards, leading to inaccurate life-cycle consequence ... -
A Method for Probabilistic Analysis in Structural Dynamics Based on Separation of Aleatory and Epistemic Uncertainties
Langley, Robin; Hickey, John; ICASP14 (2023)There is still much philosophical debate about whether a frequentist or subjective view of probability should be adopted. Some uncertainties (typically aleatory uncertainties) are naturally modelled using a frequentist ...