Browsing ICASP14 by Title
Now showing items 220-239 of 409
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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 ... -
Life Quality Index for Optimizing a Safety Improvement Program
(2023)The Life Quality Index (LQI), a composite social indicator, was proposed as a basis for evaluating the effectiveness of investments in safety measures to enhance life quality. In the structural reliability field, the life ... -
Life-Cycle Residual Performance Assessment of Concrete Bridges Considering Spatial Variability of Corrosion
(2023)A recent SEI/ASCE survey highlights that advanced life-cycle models for deteriorating structures are well established for some of the most detrimental damage processes (e.g. corrosion). However, reliability assessment ... -
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 ... -
Lifetime reassessment of offshore wind turbines using meta-models
(2023)Offshore wind turbines are usually designed for 25 years. After this period, there are various options regarding the further use of the wind turbines. One option is a so-called lifetime extension, i.e., to continue operating ... -
Lifetime seismic risk assessment of coastal highway bridges under corrosion, scour and liquefaction effects
(2023)Coastal highway bridges, particularly those with reinforced concrete members, are susceptible to chloride-induced corrosion in their lifetime due to the aggressive coastal environment. Such an adverse environment has also ... -
Machine learning for prediction of undrained shear strength from cone penetration test data
(2023)Being widely employed in the design phase of many large-scale infrastructure projects, the shear strength of soil has always been one of the most important parameters in geotechnical engineering. Many methods have been ... -
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 ... -
Mechanics-based fragility assessment of existing prestressed concrete bridges under traffic loads
(2023)After catastrophic collapse of several major bridges in Italy, the safety evaluation and retrofit interventions on existing bridges became a top priority for the engineering community, road management companies and government. ... -
Method for estimating corrosion of underground pipes based on inspection data of telecommunication facilities
(2023)An extended period has passed since many infrastructures have been constructed, and it is crucial issue for infrastructure to be aged. Corrosion of steel materials has a significant impact on infrastructure, so accurate ... -
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 ... -
Modified Cloud Analysis: An efficient tool for seismic fragility assessment
(2023)Modified Cloud Analysis (MCA) is proposed as an alternative to the original Cloud Analysis for handling the collapse-inducing records. Collapse and non-collapse part of the data can be treated as mutually exclusive and ... -
Monetary Consequence Prediction for Hazardous Liquid Pipelines in US
(2023)There are more than 230,000 miles of hazardous liquid pipelines in the US, and more than 4,000 significant incidents have been reported since 2010 with 3.1-billion-dollar damage. The cost consequence estimation of pipeline ... -
Multi fidelity Information Fusion for Efficient Estimation of Small Failure Probabilities Considering Multiple Limit States
(2023)Stochastic simulation methods, such as Monte Carlo simulation (MCS), are typically used to estimate failure probabilities in reliability analysis, but they can be computationally intensive, often requiring many evaluations ... -
Multi-Disciplinary Resilience Modeling for Developing Mitigation Policies in Seismic-prone Communities: Application to Salt Lake City, Utah
(2023)This paper presents a multi-disciplinary resilience modeling methodology to assess the vulnerability of the built environment and economic systems. This methodology can assist decision-makers with developing effective ... -
Multi-objective evaluation of target reliabilities for structural fire design
(2023)Target reliabilities for structural design are mostly informed by risk-based optimization. Such optimization is often computationally challenging, and especially in structural fire engineering involves numerous design ... -
Multi-Path Progression Optimization at an Urban Interchange: A Case Study
(2023)Progression optimization is a common approach for coordinating traffic signals along arterial streets as well as arterial networks. A number of techniques with varying degrees of refinement have been developed for this ... -
Multi-taper S-transform method and its application in the EPSD and coherence estimation of earthquake ground motions
(2023)Estimating the accurate evolutionary power spectral density (EPSD) and coherence of earthquake ground motions based on measured records is essential in earthquake engineering. This study introduces a multi-taper S-transform ... -
Multi-Time Unscented Kalman Inversion for Calibration of Expensive Chaotic Models
(2023)Computer models traditionally used for weather and climate prediction have extremely high computational costs, which impedes their use in infrastructure design decisions, scientific exploration, and uncertainty quantification. ... -
Multifidelity support vector machines classifiers exploiting discretization error estimators for structural reliability
(2023)In reliability analysis, the estimation of probability of failure is computionally challenging. The deterministic numerical simulation of large civil engineering structures using discretization techniques such as the Finite ...