Browsing ICASP14 by Title
Now showing items 199-218 of 409
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Implications of masonry infillヨrelated uncertainty on the optimal seismic retrofitting of existing buildings
(2023)Many research efforts have focused on developing multi-criteria decision-making (MCDM) processes for selecting the optimal seismic retrofit alternative when several important decision variables (DVs) need to be considered. ... -
Improving safety through statistical analysis of construction fatalities
(2023)The construction industry has the highest rates of fatalities, disabilities, and injuries & illnesses among all industries. While this situation has improved in some countries, for example the UK, to achieve sustained ... -
Improving seismic resilience of schools and educational communities
(2023)The sustainability of school infrastructure and the resilience of the educational communities to natural hazards is of paramount importance to provide the safety and protection from the various natural and man-made threats ... -
Improving the Simulation Accuracy of the Substructure Approach for Soil-Structure-Interaction Analysis Using a Refined Impedance Function
(2023)The objective of this study is exploring the limitations of the substructure approach for time-domain soil-structure-interaction (SSI) analysis. The key assumption in the substructure approach is that the soil-structure ... -
Improving the spatial monitoring of rain gauges for flood assessment
(2023)Flood assessment for early warning systems rely on the confidence on data. Rainfalls are usually estimated by radar with a low accuracy but a fine spatial mesh and rain gauges with a high accuracy but a low density. Adding ... -
Including Epistemic Uncertainty in Engineering Decision Making
(2023)Most engineering systems are designed on the basis that their probability of under- performance is appropriately low. This is done either explicitly, by calculating this probability of failure, or implicitly, by prescribing ... -
Incorporation of Equity into Infrastructure Decision-Making: Development of an Equity Metric for Infrastructure Retrofitting
(2023)When infrastructure service outages occur, especially after natural hazards, the impacts are not felt uniformly across a community but are disproportionately clustered in vulnerable groups (e.g., low-income, minority, ... -
Inference and maintenance planning of monitored structures through Markov chain Monte Carlo and deep reinforcement learning
(2023)Maintenance of engineering systems exposed to corrosive environments, e.g. coastal, marine, or highly acidic conditions, is of utmost importance for managing structural risks. The most beneficial sequence of maintenance ... -
Influence of Community Characterization on the Output Uncertainty of the Florida Public Hurricane Loss Model
(2023)The Florida Public Hurricane Loss Model projects insured hurricane losses for residential buildings. It is a comprehensive multi-disciplinary probabilistic model that computes building and contents losses, as well as ... -
Influence of different historical best track databases on the assessed typhoon wind hazard for the coastal region of mainland China
(2023)Historical best track databases (HBTDs) are used as the basis for developing the tropical cyclone (TC) track model. Different HBTDs may not be consistent and may report different TC parameters. The impact of such inconsistency ... -
Influence of the spatial variability of the corrosion parameters on SLS failure probability of marine reinforced concrete structures
(2023)Existing reinforced concrete marine structures are subject to the penetration of chemical agents, mainly chlorides, which leads to their degradation through pitting corrosion of rebars. Because of our limited knowledge ... -
Influence of uncertain geotechnical data in dynamic CPT-based Winkler models for OWT monopiles
(2023)The strive to meet renewable energy targets has revealed new challenges in structural health monitoring procedures for offshore wind turbine foundations. The lack of available data on the realtime performance of monopile ... -
Information Avoidance in multi-agent systems
(2023)This paper introduces a framework of assessing the Value of Information (VoI) for systems managed by multiple agents. The system is composed of some binary components, each managed by one agent. Each agent can decide to ... -
Integrating Data-driven and Model-based Algorithms for Structural Health Monitoring
(2023)Artificial Intelligence has rapidly supplanted classical statistical methods for data analysis and prediction-making in many scientific areas in the last few years due to substantial technological advances in hardware that ... -
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 ... -
Integrating Hazard, Engineering and Economic Models to Evaluate Earthquake Mitigation Strategies: Applying the IN-CORE model to Salt Lake City, Utah
(2023)This paper focuses on integrating stochastic engineering with economic models to evaluate earthquake mitigation policies in Salt Lake County, UT, by comparing results under a portfolio of ex-ante and ex-post policies that ... -
Interpretation and analysis of deep reinforcement learning driven inspection and maintenance policies for engineering systems
(2023)In the wake of recent Deep Reinforcement Learning (DRL) breakthroughs in various fields, DRL-based approaches have also been successfully developed for the management of engineering systems, reaching performance that ... -
Investigating the Use of Citizen-Science Data as a Proxy for Flood Risk Assessment in New York City
(2023)New York City has an extensive waterfront and numerous low-lying neighborhoods that make it highly exposed to the impacts of extreme weather events. With global warming increasing the frequency and intensity of these events, ... -
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 ... -
Investigations on the effect of non-linear models on the reliability of partial safety factor designs
(2023)Most modern structural design codes, such as the Eurocode, are based on the partial safety factor concept. The partial safety factors are calibrated on linear limit states. They provide simplified rules on the application ...