Civil Structural & Environ Eng: Recent submissions
Now showing items 281-300 of 1410
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Modeling the economic impact of utility damage
(2023)Infrastructure systems (such as power and water utilities) are vulnerable to natural hazards and typically account for a significant portion of the economic losses in a region following disruptive events. Also, disaster ... -
Dynamic Reliability-Based Design Optimization using Quantum-Inspired Algorithm and Probability Density Evolution Method Assisted by Change of Probability Measure Strategy
(2023)Dynamic reliability-based design optimization (DRBDO) is a promising design optimization approach for dynamic structures, when inherent uncertainties are involved in structural parameters and external excitations. This ... -
Fast perturbation-dependent reliability curves in traffic networks
(2023)Uncertainty characterisation and reliability analysis for high-fidelity models is often prohibitive due to the large analysis efforts it demands. This is particularly prevalent in highly complex systems that require costly ... -
The development of a Fibre Bragg Grating river scour sensor utilizing vortex flow
(2023)The ability to effectively manage the deterioration of a network wide bridge stock condition from year on year is vital for the effective use of finite resources while maintaining public safety. The leading cause of bridge ... -
Predicting subsurface stratigraphy using an improved Coupled Markov Chain method
(2023)Geological uncertainty can significantly influence the computed response of a geotechnical structure. For example, ignoring the presence of a weak soil layer embedded within a stronger layer and assuming a deterministic ... -
Partial Factors for Displacement-based Seismic Design and Assessment Consistent with the Second-generation of Eurocodes
(2023)The second generation of Eurocode 8 introduces the displacement-based approach (for both design and assessment) alongside the traditional force-based one, which employs linear analysis and equivalent forces reduced to ... -
Comparing Conventional and Buffered Failure Probability from the Perspective of Risk-based Decision-Making
(2023)Failure probability has been widely used as a reliability metric to provide a building block of reliability-based decision-making. Such use of failure probability has implications for both risk management and computation. ... -
Physically driven GE-GDEE and absorbing boundary processes for the first-passage reliability assessment of high-dimensional systems under stochastic excitations
(2023)Accurate reliability assessment of high-dimensional systems excited by stochastic loads is demanding and challenging. The recently developed Globally-Evolving-Based Generalized Probability Density Evolution Equation (GE-GDEE) ... -
Integrating Distribution-Free Adaptive Kriging-based Reliability Analysis with SQP for Optimal Design Considering Uncertainties
(2023)Reliability-Based Design Optimization (RBDO) methods are commonly used in many engineering problems and practical applications. Different from deterministic optimization (DO) methods, which do not concern the variability ... -
Developing digital twins of infrastructure for risk analysis
(2023)Infrastructure are vulnerable to natural and anthropogenic hazards. The general steps in the risk analysis of infrastructure include modeling the undamaged network, modeling the hazard, predicting the damage to components, ... -
Sensing time-variant risk of rainfall-induced landslides using slope digital twins
(2023)Digital twin is deemed as a core technology for building a smart city and Industry 4.0, and it has great potential to be applied to quantitatively sense the risk of a rainfall-induced landslide by developing a slope digital ... -
Active learning for structural reliability analysis with multiple limit state functions through variance-enhanced PC-Kriging surrogate models
(2023)Structural reliability analysis of multi-physics engineering systems can be efficiently implemented through actively trained surrogate models, which often profit from the probabilistic advantageous attributes offered by ... -
Comparison between AS5100 fatigue load model and fatigue from representative traffic
(2023)Bridges provide an irreplaceable role in road transportation, and so it is vital to properly manage them. The traffic loading caused by trucks is decisive in bridge design and assessment, because it not only controls the ... -
Assessing Environmental Impact of Earthquake-Induced Damage for an Italian Case-study Building
(2023)This study assesses environmental impacts due to the repair of earthquake-induced damage considering an old reinforced concrete (RC) frame representative of those built in Italy before the 1970s. Such impacts, expressed ... -
Using Real-Time Spatial Delphi to locate Loading bays and Parcel Lockers
(2023)Urban logistics has become part of the citizensﾒ life, who often use e-commerce options to buy goods and groceries. The constant increase of this phenomenon which has been witnessed in recent years led to a consequent ... -
Digital twin and SHM informed risk based inspection planning for offshore wind turbine structures
(2023)Structural integrity management of wind turbine structures is typically based on equi-temporal inspection plans that do not account for the information that is or can be collected during their operation. This concerns the ... -
Lifecycle operational reliability assessment of water distribution networks based on artificial neural network
(2023)In urban operation, a reliable water distribution network (WDN) is the foundation and various factors may undermine the reliability of WDNs. Due to the complexity and nonlinearity of WDNs, however, assessing the reliability ... -
Application of MCMC samplers with replica exchange and Russian Roulette in estimating structural reliability via importance sampling.
(2023)Rapid changes in performance function values near regions of failure, the presence of multiple failure regions of importance, and several disconnected failure regions separated by large regions of safety can pose substantial ... -
Constrained non-intrusive polynomial chaos expansion for physics-informed machine learning regression
(2023)This work presents a constrained polynomial chaos expansion (PCE) as a physics-informed machine learning (ML) technique to supplement data with physical constraints in the regression framework. PCE is a popular metamodeling ... -
Efficient Wiener path integral most probable path determination based on extrapolation
(2023)The Wiener path integral technique for determining the stochastic response of diverse nonlinear dynamical systems relies on a variational formulation that leads to a functional minimization problem. This takes the form of ...
