Browsing ICASP14 by Title
Now showing items 187-206 of 409
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Geometry of the failure set (system events) : impact on the efficiency of simulation methods, adaptations of some standard methods
(2023)System events (intersection or union of events - failure or safety domains) are of frequent interest in Structural Reliability, even for simple structures that are not mechanical systems. Intersections can be found when ... -
Geotechnical uncertainty analysis with sparse data using interval field method
(2023)Spatial uncertainty in soil parameters has essential implications for dyke failure analysis. The currently popular random field methods used to characterize the spatial uncertainty of soils have been very influential. ... -
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 ... -
Ground motion model for median directional inelastic spectral displacements
(2023)Peak inelastic displacement of single-degree-of-freedom (SDOF) systems has been shown to be an efficient ground motion (GM) intensity measure (IM) for estimating the structural demand. Most ground motion models (GMMs) are ... -
Guideline for Reliability-Based Classification of Existing Bridges
(2023)This paper presents the newly updated Danish guideline for reliability-based classification of existing bridges published by the Danish Road Directorate in 2023. The update of the guideline reflects the commitment to ... -
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 ... -
Hierarchical Bayesian site clustering for a geotechnical database
(2023)This paper presents a new clustering method for sites in a geotechnical database. This clustering method is based on the hierarchical Bayesian site similarity measure (HBSSM) recently proposed by the authors. Utilizing the ... -
Identification of cost-effective multihazard capacity of nuclear power plant using multi-objective genetic algorithm
(2023)After the Tohoku earthquake-tsunami (Japan, 2011), the regulatory efforts to mitigate the external hazards increase both safety requirements and the total capital cost of nuclear power plant (NPP). In these circumstances, ... -
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. ... -
Identifying dominant failure sequences and key elements in progressive collapse analysis
(2023)Progressive or disproportionate collapse is characterized by collapse of a structure triggered by failure of a relatively small part of it. Identification and strengthening of weak elements, and mitigation of element failure ... -
Impact of building code changes on future hurricane risk of residential buildings in changing climate
(2023)Hurricanes are one of the biggest natural hazards to residential buildings under the worsening climate change. As the effect of climate change on hurricane risks has been suggested by many studies, the urge to change ... -
Implementations of Statistics, Probability, and Reliability in the Performance-Based Seismic Design of Structures
(2023)It is well-known that the main objective of building codes is to guarantee life safety by preventing the collapse of structures in major earthquakes. However, there is a knowledge gap about controlling structural damage ... -
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 ...