ICASP14: Recent submissions
Now showing items 181-200 of 409
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Redundancy Analysis of Unbraced Network Arch Bridges
(2023)The redundancy of a structural system is its ability to support loads even after a failure of one or several structural components. Redundancy analysis is vital to assess the safety and reliability of network arch bridges, ... -
Hamiltonian MCMC Based Framework for Time-variant Rare Event Uncertainty Quantification
(2023)Accurate and efficient rare event uncertainty quantification is of ever-increasing significance, including for natural hazard cases characterized by substantial dynamic loads. In this work, our computationally efficient ... -
Determining Probability of Failure of Structures Using Improved Active Learning Method With Kriging Model and Clustering Algorithm
(2023)A major challenge of structural reliability analysis is estimating the failure probability based on a small number of function calls. This issue can be addressed using metamodeling, which approximates a computationally ... -
Copula-based Quadratic Point Estimate Method for probabilistic moments evaluation
(2023)Numerous engineering problems often involve the evaluation of probabilistic moments of quantities of interest (QoI). Several computation techniques exist in the literature for such estimations, with sampling-based methods ... -
Leveraging data-driven approaches to explore the effect of various disaster policies on post-earthquake household relocation decision making
(2023)Earthquake events can cause affected households to relocate. Post-earthquake relocation disrupts displaced householdsﾒ social ties as well as their access to affordable services. Simulation models that capture post-earthquake ... -
Addressing the pitfalls of risk-based methods for fire safety design of structures
(2023)Risk-based design and assessment methods are gaining popularity in the context of performance-based structural fire engineering. Nevertheless, they often ignore that there exists a strong dependency between the combustion ... -
Investigation of Inspection and Maintenance Optimization with Deep Reinforcement Learning in Absence of Belief States
(2023)Maintenance of deteriorating infrastructure is a major cost factor for owners and society. Therefore, efficient inspection and maintenance (I&M) strategies are of paramount importance. Deep reinforcement learning (DRL) has ... -
Data-driven uncertainty reduction in geotechnical engineering: Optimal preloading of a road embankment
(2023)A typical geotechnical problem is the design of prefabricated vertical drains (PVD) and pre-loading with surcharge for an embankment on clayey soil. If not designed accordingly, excessive residual settlements might occur ... -
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 ...
