ICASP14: Recent submissions
Now showing items 321-340 of 409
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Probabilistic Modelling of Soil Shear Strength by Maximum Entropy Quantile Functions
(2023)The 1990 Nipigon River landslide that occurred north of the township of Nipigon, northwestern Ontario, is listed among the catastrophic landslides in Canada. Since 1990, many additional landslides of various scale and ... -
Unified framework of stochastic structural dynamics: direct probability integral method
(2023)Stochastic dynamics of structures involves the topics of simulation of random excitation, random vibration analysis, reliability estimation and reliability-based design optimization. However, the existing methods only focus ... -
Finite dimensional surrogates for extreme events
(2023)Finite dimensional (FD) models are developed for random processes X(t) with continuous samples. The FD models Xd(t) are deterministic functions of time and finite sets of random variables which are defined on the same ... -
Effectiveness Assessment of Adaptation Measures to Build Wildfire Resilience of Road Networks
(2023)Wildfires have become a source of concern for society due to their increased frequency, intensity, and unpredictability. This has caused serious impacts all over the world, even in areas where this type of problem has not ... -
Reliability of RC shear walls with uncertainty of failure mode
(2023)The propagation of damage evolution at different scales leads to the uncertainty of failure mode for shear walls, and it is difficult to determine the reliability of shear walls with shear failure accurately using the ... -
Direct probability integral method-based system reliability sensitivity analysis and design optimization
(2023)System reliability-based design optimization (SRBDO) can take an optimal trade-off between economy and safety in structural design with multiple failure modes, in which the evaluation of system reliability and its sensitivity ... -
An efficient approach to reliability-based topology optimization of continuum structures with multimodal distributions
(2023)Reliability-based topology optimization (RBTO) considering uncertainties has attracted great attention recently. In practical applications, some random variables follow multimodal distributions, thus, RBTO with multimodal ... -
A hybrid approach for deriving probability distributions of rock mass discontinuity parameters for slope reliability analysis
(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 ... -
Probabilistic Response Predictions using Few Nonlinear Finite Element Analyses
(2023)This paper combines second-moment statistics with exact and efficiently calculated finite element response sensitivities. The objective is to gain insights from a single, or a few, nonlinear static or dynamic finite element ... -
A Climate Change Impact Assessment of the Irish Road Drainage System
(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 ... -
Maintenance Planning for Bridges using Hierarchical Reinforcement Learning
(2023)The planning of interventions on transportation infrastructures commonly faces multiple challenges, mainly relating to complexity and scale [1]. Those challenges stem from the uncertainties surrounding infrastructures ... -
Identifying Components Important for System Resilience
(2023)The resilience of a system is often assessed using models that consist of numerous interdependent system components. To better understand the system’s resilience, the performance of each component needs to be evaluated. ... -
Graph-based Framework for Road Network Performance and Flood Risk Assessment
(2023)The road network provides a connecting infrastructure that facilitates countless daily pursuits, supporting communication and economic activity. Flooding hazard often threaten the road network with physical damage and ... -
Refining 3D nonlinear finite element settlement predictions around a deep urban excavation with the help of a Bayesian approach
(2023)This contribution presents a probabilistic and Bayesian approach for the finite element modelling of a deep excavation in a lacustrine environment in Geneva, Switzerland. The project is composed of a new 25-storey tower ... -
Risk of New York City’s Electric Power Networks Against Compound Extreme Floodings and Cyberattacks
(2023)The growing frequency of extreme weather events and cyberattacks triggers the rise of compound cyber-physical threats where a cyberattacker targets critically stressed electricity generators and transmission lines during ... -
Efficient Computational Methods for Probabilistic Damage Tolerance Design
(2023)Aircraft engine safety is influenced by material anomalies that can form during manufacturing melt and machining operations. These anomalies may occur at any location within a component and have led to catastrophic engine ... -
Reliability-based study on the duration of load effect in timber structures under wind loads
(2023)This paper presents a reliability-based study on the duration of load (DOL) effect in timber members under wind loads. First, an auto regressive and moving average (ARMA) time-series model was established to simulate 50 ... -
Partial Safety Factor for the Design Strength Prediction of Naturally Corroded Prestressing Strands
(2023)Existing reinforced and prestressed concrete structures are often affected by corrosion triggering high annual maintenance costs and impairing their safety, durability and serviceability. Although scientific studies have ... -
Proof load testing method by AASHTO and suggestions for improvement
(2023)Due to the aging of infrastructure, methods are explored by which the reliability of existing bridges and viaducts can be assessed. In case limited information of the structure is available or its condition is of concern, ... -
Bayesian neural networks for large-scale infrastructure deterioration models
(2023)State-space models (SSM) have been shown to be effective at modelling structural deterioration of transportation infrastructure based on visual inspections. The SSM approach was recently coupled with kernel regression (KR) ...
