Civil Structural & Environ Eng: Recent submissions
Now showing items 361-380 of 1410
-
An Adaptive Dynamic Downscaling Strategy to Obtain Real-time Multi-resolution Wind-field during Evolving Tropical Cyclones to Support Real-Time Risk Forecast of Powerlines
(2023)Tropical cyclone (TC) induced high winds often cause significant damages to powerline systems and lead to widespread power failure and socio-economic losses. Meteorological numerical weather prediction during an evolving ... -
Probabilistic dynamic amplification of Australian B-Double trucks
(2023)Traffic loading is one of the most common and important live loads to which bridges are subjected. In particular, the dynamic effect caused by running vehicles plays an important role in determining the structural safety ... -
Adaptive importance sampling for efficient probabilistic storm surge estimation
(2023)During landfalling tropical storms, probabilistic predictions of the storm surge constitute important products for guiding emergency response decisions. The probabilistic formulation for these predictions is established ... -
Adaptation of residential houses to increasing wind hazard under climate change
(2023)Adaptation to climate change has become a central issue all over the world. Japan is facing increasing wind damage to residential houses due to the impacts of more frequent intensified typhoons. However, the adaptation of ... -
Bayesian hierarchical modelling of bridge traffic loading across a road network
(2023)The prediction of extreme traffic loading is a crucial part of bridge design and assessment. It provides a basis of how much action, and conversely the strength required for a bridge in its lifetime. However, there remain ... -
Seismic resilience assessment of urban communities using Bayesian network
(2023)The importance of the disaster resilience of urban communities becomes substantial as people and capital are integrated and affect each other both directly and indirectly. This study presents three main contributions to ... -
Regional surge hazard map development using Gaussian Process metamodeling
(2023)The recent, very active hurricane seasons, as well as emerging concerns related to the future effects of sea level rise, storm intensification, and increased hurricane occurrence rate projections on coastal areas, make the ... -
Physics model-based probabilistic process optimization and control
(2023)A model-based approach for process design and control is more efficient and economical than the physical experiment-based trial-and-error approach in advanced manufacturing processes such as additive manufacturing (AM). ... -
Combating Infrastructure Complexity: Developing a Comprehensive Set of Wellbeing and Resilience Indicators for the Transport Infrastructure System
(2023)As modern societies become increasingly dependent on infrastructure systems, ensuring their functionality is paramount. Current simulation-based approaches for evaluating infrastructure wellbeing and resilience are known ... -
Efficient decomposition method for reliability analysis of coherent discrete systems
(2023)For the purpose of reliability analysis, the performance of many systems is modelled as a function of discrete component states. Examples include infrastructure networks such as transportation networks, power distribution ... -
Soft Actor-Critic for railway optimal maintenance planning under partial observability
(2023)The optimal maintenance planning for railway systems forms a complex sequential decision-making problem. Optimal maintenance actions ought to be configured on the basis of updated rail condition estimates. To this end, ... -
Spatial Variability of Explosive Blast Loading and its Effect on Disproportionate Collapse Risks
(2023)Disproportionate collapse is often triggered by malevolent or accidental explosive blast loading. Explosive blast loading is subject to inherent variabilities due to complex interactions between chemical reactions, air ... -
Reliability updating in the presence of distribution parameter uncertainty
(2023)Reliability updating (RU) is often used to re-evaluate the failure probability of structural system when new observations are obtained. However, in engineering practice, the specific distribution parameters of input variables ... -
Efficient uncertainty analysis method for structures with hybrid uncertainty based on reduced-order model
(2023)An efficient uncertainty analysis method is proposed in this paper for structures with hybrid random and interval variables by using the idea of reduced-order model. In the proposed method, proper orthogonal decomposition ... -
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, ... -
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 ... -
A kriging metamodel with adaptive sampling for seismic evaluation of podium buildings
(2023)In this paper, nonlinear time-history dynamic analyses of selected earthquake ground motions are conducted on designated wood-frame podium buildings and the resulting inter-story drifts are analyzed. We aim to construct a ... -
Relevance of Uncertainty Modelling for Wind Turbine Lifetime Estimations
(2023)For the design of wind turbines, the determination of the fatigue lifetime is essential. Frequently, so-called lifetime "damage equivalent loads" (DELs) are used as a measure for the fatigue lifetime. Short-term DELs are ... -
Consistent Sensitivity Indices for p-Boxes
(2023)The main objective of global sensitivity analyses is to determine the influence of uncertain input parameters of a (simulation) model on the output parameters of the same model. Normally, for this purpose the uncertain ... -
Probabilistic finite element analyses of slope stability due to heavy rains: a comparison of homogeneous and spatially variable models
(2023)Consequences of the climate change like melting of the permafrost and the increasing number of extreme events like heavy rains are all factors which can increase the probability of occurrence of slope instability. For ...
