ICASP14: Recent submissions
Now showing items 241-260 of 409
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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 ... -
A Modern Bayesian Approach to Model Updating of Bridges Considering Measurement Uncertainty
(2023)Existing bridges were designed using contemporaneous standards, but increased loading due to increased freight demand must be considered in their ongoing safety management. Finite-Element (FE) modelling provides the ... -
Combining Seismic Risk Analysis and Network Modeling to Assess Hospital Service Accessibility in the Bay Area, California
(2023)Earthquakes can damage hospitalsﾒ infrastructure and disrupt critical healthcare functions. For example, the Northridge Earthquake in California damaged 11 acute hospitals, and eight had to be evacuated. These disruptions ... -
Probabilistic Modeling of Hurricane-Induced Debris Impacts for Coastal Community Resilience Analysis
(2023)Climate disasters such as hurricanes significantly impact coastal communities, posing critical challenges to their resilience. Besides direct economic and social losses, coastal communities suffer from indirect cascading ... -
Bridge Network Decisions with Mobile Technology Integration
(2023)The interconnectedness between structural failure probabilities and systemic features is crucial in civil infrastructure safety and integrity assessment in post-disaster applications. The combination of systemic reliability ... -
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 ... -
An Earthquake Early Warning Decision Support System for Railway Bridge Infrastructure
(2023)Earthquake early warning (EEW) systems deliver actionable information seconds before the arrival of damaging seismic waves from an oncoming earthquake at a target site. Such information can potentially contribute to ... -
Shock Degradation Process to Assess the Reliability of Bridges Subjected to Scouring and Climate Change
(2023)Climate change impacts the infrastructure in several ways. In the particular case of bridges crossing rivers, climate change may have a direct impact on the river discharge and, consequently, may modify the bridge scouring ... -
Regional Disaster Loss Prediction Under Tropical Cyclone Hazard to Support Real-time Risk Forecasting: A Data-driven Approach
(2023)Rapid prediction of high-probability disaster hotspots during a tropical cyclone is crucial to facilitate proactive mitigation measures. In this study, a data-driven model based on a convolutional neural network (CNN) is ... -
Efficient seismic fragility analysis of structures based on probabilistic machine learning method
(2023)Reliable and rapid estimate of the performance of civil infrastructure against seismic hazards is one of the most essential tasks in civil engineering. Machine learning (ML) technology have been widely adopted in engineering ... -
Near-real-time Identification of Seismic Damage by Graph Neural Network based on Structural Modes
(2023)This paper proposes a near-real-time damage identification method based on the graph neural network (GNN) using the structural response data recorded during an earthquake event. The proposed method features a structural-mode-based ... -
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 ... -
Non-stationary response autocorrelation function of nonlinear oscillators endowed with fractional derivative elements
(2023)An approximate analytical technique is developed for determining the non-stationary response autocorrelation function of nonlinear oscillators endowed with fractional derivative elements. Specifically, first, a stochastic ... -
Deep-learning-augmented physics models to predict nonlinear dynamic responses of multi-degree-of-freedom structures
(2023)Predicting a structure's dynamic response is essential in system identification, structural health monitoring, and structural reliability assessment. In recent years, many deep-learning-based methods have been developed ... -
Random field modeling of the mechanical properties of graphene nanoplatelets
(2023)In this work, a random field approach is employed to model the mechanical properties of graphene nanoplatelets (GNPs) consisting of multiple graphene sheets connected with van der Waals forces. GNPs share the excellent ... -
Estimation of failure probability function and its bounds under random and interval variables: A fully decoupled approach using Bayesian active learning
(2023)Random and interval variables can coexist in a single structural reliability analysis problem. The existing methods for such hybrid reliability analysis, however, cannot balance the computational cost and accuracy well. ... -
Artificial Intelligence and Digital Twin for Railway Bridge Structural Health Monitoring
(2023)The purpose of this paper is to present some preliminary results obtained from the application of a dedicated Artificial Intelligence-based monitoring software to an OpenSees numerical model of a railway bridge to assess ... -
Supporting robust and climate-sensitive adaptation strategies for infrastructure networks: A multi-hazard case study on Mozambique's healthcare sector
(2023)As climate change causes more intense and frequent natural hazard events, decision makers are tasked to climate-proof vital infrastructure systems against these challenges. Adaptation studies often evaluate benefits of ... -
Random vibration and global dynamic analyses of nonlinear MDOF systems under combined additive and multiplicative excitation
(2023)The random vibration and global dynamic analyses of structures subjected to combined additive and multiplicative excitation are challenging issues. In this paper, the direct probability integral method (DPIM), as a novel ... -
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 ...
