Browsing School of Engineering by Author "ICASP14"
Now showing items 61-80 of 409
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Application of MCMC samplers with replica exchange and Russian Roulette in estimating structural reliability via importance sampling.
Manohar, C S; Sharma, Adwait; ICASP14 (2023)Rapid changes in performance function values near regions of failure, the presence of multiple failure regions of importance, and several disconnected failure regions separated by large regions of safety can pose substantial ... -
Application of Statistical Method on Field Pile Loading Test Result Analysis
Kim, Dohyun; ICASP14 (2023)Most geotechnical engineering issues face great degree of uncertainties since it studies a natural material - soils and rocks. So the analysis of data obtained from field tests requires intensive data processing in order ... -
Application of structural reliability methods for the safety assessment of autonomous vehicles
Rasch, Maximillian; Niemeier, Roland; Most, Thomas; Ubben, Paul Tobe; ICASP14 (2023)Advanced Driver Assistance Systems (ADAS) see a constantly growing attention by researchers and industries as more and more vehicles are equipped with such technology. It is generally expected to see first Automated Driving ... -
Applied Joint Probabilistic Modeling of Compound Coastal Flood Hazard: An Extension of the Joint Probability Method with Optimal Sampling
Villlarini, Gabriele; Misra, Shubhra; Roberts, Hugh; ICASP14; McManus, Myles; Young, Nathan; Geldner, Nathan; Grimley, Lauren; Zou, Shan; Saharia, Angshuman; Johnson, David; Yuill, Brendan (2023)Compound coastal flooding i.e. coastal flooding driven by storm surge, rainfall, and riverine dynamics poses a significant and complex hazard. We present a novel framework for statistical modeling of this hazard as applied ... -
Approximate Bayesian Computation considering Summary Statistics for Parameter Identification in Computational Mechanics
Misraji, Mauricio; Faes, Matthias; Valdebenito, Marcos; ICASP14; Pauly, Markus; Klein, Nadja (2023)Computational mechanics offers the possibility to construct numerical models that simulate the behavior of real-world engineering systems. These numerical models usually depend on a series of parameters such as material ... -
Approximate WPI based Survival Probability Determination of Nonlinear Oscillator under Combined Excitation
Kong, Fan; Zhang, Yuanjin; ICASP14 (2023)An analytical method for determining stochastic response and survival probability of nonlinear oscillators subjected to combined evolutionary nonstationary excitation and periodic excitation is developed. This is done by ... -
Artificial Intelligence and Digital Twin for Railway Bridge Structural Health Monitoring
Bottini, Maurizio; Camata, Guido; Amelio, Alessia; ICASP14; Di Giorgio, Matteo; Petracca, Massimo; Boccagna, Roberto (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 ... -
Assesing the Impact of Smart Initial Response Strategies on the Resilience in Complex Systems
Xenidis, Yiannis; Tzioutziou, Anastasia; ICASP14 (2023)During an emergency, the initial response and especially the identification of the damage in a complex engineered system is critical for the maintenance of the entire systemメs performance and operation. Simultaneously, ... -
Assessing Environmental Impact of Earthquake-Induced Damage for an Italian Case-study Building
Aljawhari, Karim; Galasso, Carmine; ICASP14; Gentile, Roberto (2023)This study assesses environmental impacts due to the repair of earthquake-induced damage considering an old reinforced concrete (RC) frame representative of those built in Italy before the 1970s. Such impacts, expressed ... -
Assessing the vulnerability of a Dutch river dyke to rising water levels
Gupta, Aryan; ICASP14; Gavin, Kenneth; De Gast, Tom; Reale, Cormac (2023)Dykes provide protection from the risk of flooding to approximately 60% of the Netherlands, by area. Unfortunately, most of the countryメs major cities lie within this zone, placing a large proportion of the population at ... -
Assessment of effect on climate change on structural behaviour of corroded sheet-piles in harbors
Di Rocco, Francesco; Schoefs, Franck; ICASP14 (2023)Corrosion and water level affect the reliability of metal structures in the marine environment reducing their service capacity. This phenomenon can be accentuated by the presence of microorganisms which act directly or ... -
Assessment of onshore wind turbine fatigue damage subjected to tropical cyclone
Sheng, Chao; ICASP14; Hong, Hanping (2023)Tropical cyclones (TCs) affect structures and infrastructure systems. They can cause low-cycle high amplitude stress for onshore and offshore structures, such as wind turbines (WTs). This study aims to evaluate the impact ... -
Assessment of tsunami damage to buildings in resilient Byblos City and uncertainty considerations
ICASP14; Schmidt, Franziska; Lee, Jong; Navarro, Christopher; Makhoul, Nisrine (2023)Byblos is a UNESCO World Heritage Site due to its resilience quality, as it is one of the oldest continuously inhabited cities in the world. It thrived for over 7000 years, mitigating shocks and stresses and still adapting ... -
Basis of serviceability limit state target reliability: Fact or fiction?
McLeod, Christina; ICASP14; Viljoen, Celeste; Way, Andrew (2023)Target reliability forms the basis of modern structural design and finds its root in cost optimisation. Ultimate limit state (ULS) target reliability is well-founded and has been extensively researched. Serviceability limit ... -
Bayesian empirical vulnerability modelling for hierarchical levels of damage and loss: Applications to Tsunami Risk Modelling
Trevlopoulos, Konstantinos; Ebrahimian, Hossein; ICASP14; Jalayer, Fatemeh (2023)Empirical fragility and vulnerability curves express the probabilities of exceeding certain damage and loss levels respectively for given values of intensity measures for specific classes of building or infrastructure. ... -
Bayesian hierarchical modelling of bridge traffic loading across a road network
Caprani, Colin; Rizqiansyah, Akbar; ICASP14 (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 ... -
Bayesian Inference and Maximum Likelihood Estimation for fitting Distribution Functions of Road Traffic Load Effects
Steenbergen, Raphaël; Swaalf, Lisa; ICASP14; la Gasse, Liesette (2023)More and more bridges reach the end of their design life. Traffic loads have changed substantially over the last few decades since the design of these bridges. To prevent unnecessary costs and material use in redesign or ... -
Bayesian neural networks for large-scale infrastructure deterioration models
ICASP14; Hamida, Zachary; Fakhri, Said Ali; Goulet, James (2023)State-space models (SSM) have been shown to be effective at modelling structural deterioration of transportation infrastructure based on visual inspections. The SSM approach was recently coupled with kernel regression (KR) ... -
Bayesian Neural Networks for Probabilistic Surrogate Models ヨ Uncertainty Quantification, Propagation, and Sensitivity Analysis
ICASP14; Nguyen, Luong-Ha; Goulet, James-A. (2023)Neural networks are powerful function approximators which scale to problems having large input dimensionality. Bayesian neural networks are an interesting choice for surrogate models as they (1) natively enable performing ... -
Bayesian Optimization for Intrinsically Noisy Response Surfaces
Van Beek, Anton; ICASP14 (2023)While Bayesian optimization (BO) is a well-established method for efficient optimization of deterministic response surfaces that are time intensive to evaluate, its application for the optimization of stochastic response ...