Civil Structural & Environ Eng: Recent submissions
Now showing items 341-360 of 1410
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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 ... -
A collaborative Bayesian optimization method for estimation of failure probability bounds under mixed uncertainties
(2023)Uncertainty quantification has been realized as of vital importance in structural reliability engineering to achieve credible results especially when the available information is scarce, incomplete, imprecise, etc., and ... -
Fatigue Assessment of Floating Offshore Wind Turbine Tower under Wind-Wave Coupled Loading
(2023)Floating offshore wind turbine towers (FOWTs) shows promising possibilities in the exploitation of the affluent Aeolian source at the deep ocean. However, the taller FOWT is also highly prone to fatigue damage under the ... -
Detailing, a key-element in the robustness of concrete composite floors.
(2023)In 2017, a parking building under construction collapsed in Eindhoven, the Netherlands. The reasons were diverse, due to design (including neglect of temperature effect), construction (bundling of bars), product (non-compliant ... -
Active learning-based structural design optimization under constraints on first-passage probability
(2023)In efforts to manage the risk of unexpected failures caused by stochastic loads, the first-passage probability, i.e., the probability that the maximum structural response over a given time interval exceeds a prescribed ... -
A Discrete Element-Based Monte Carlo Study for the Calibration of Cyclic Soil Degradation Models for Saturated Sands
(2023)Saturated sands under fast cyclic loading can experience excess pore pressure build-up that progressively, deteriorates the geotechnical characteristics of the soil sample, such as strength and stiffness. In extreme cases, ... -
Adaptable robust traffic signal control for urban road networked systems with uncertain capacity
(2023)In order to effectively mitigate congestion and propagate uncertainty in road networked systems, a robust signal control with adaption to traffic dynamics is presented. A Stochastic Traffic Model (STM) is introduced to ... -
Comparative Structural Reliability Analysis of Monopile-supported Offshore Wind Turbines ﾖ considering the Effect of Flexible Foundation and Simulation Time on Long-term Extreme Response Extrapolation
(2023)This paper deals with the development of semi-probabilistic design formats for ultimate strength design of monopile-supported Offshore Wind Turbines. The effect of the flexible foundation and simulation time on long-term ... -
Reliability Assessment of Wind Turbine Monopile Foundations based on Possibility Approach integrating Local Experience and External Database
(2023)Reliability Analysis based on probabilistic methods is widely applied in geotechnical engineering. Several analytical and numerical methods have been developed to assess reliability based on the concept of occurrence of ...
