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Oscar D. Hurtado, Albert R. Ortiz, Daniel Gomez and Rodrigo Astroza
Simplifications and theoretical assumptions are usually incorporated into the numerical modeling of structures. However, these assumptions may reduce the accuracy of the simulation results. This problem has led to the development of model-updating techni...
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Babitha Philip and Hamad Al Jassmi
In this study, Bayesian Belief Networks (BBN) are proposed to model the relationships between factors contributing to pavement deterioration, where their values are probabilistically estimated based on their interdependencies. Such probabilistic inferenc...
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Erich J. Plate and Khurram M. Shahzad
This paper demonstrates, by means of a systematic uncertainty analysis, that the use of outputs from more than one model can significantly improve conditional forecasts of discharges or water stages, provided the models are structurally different. Discha...
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Guohua Fang, Yuxue Guo, Xianfeng Huang, Martine Rutten and Yu Yuan
Various regression models are currently applied to derive functional forms of operating rules for hydropower reservoirs. It is necessary to analyze and evaluate the model selecting uncertainty involved in reservoir operating rules for efficient hydropowe...
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Dongping Gui, Haiyan Wang and Meng Yu
With the COVID-19 outbreak hitting the world, the frequency and severity of port congestion caused by various factors are increasing, challenging the stability of international supply chains. Thus, it is necessary to conduct an in-depth study on congesti...
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Xing Pan, Song Ding, Wenjin Zhang, Tun Liu, Liqin Wang and Lijing Wang
Space launch projects are extremely risky, and any equipment failure or human error may lead to disastrous consequences. Probabilistic risk assessment (PRA) is beneficial to qualitative analysis of risk, but it has not been paid enough attention in risk ...
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Cássio G. Rampinelli, Ian Knack and Tyler Smith
Many hydrologic studies that are the basis for water resources planning and management rely on streamflow information. Calibration and use of hydrologic models to extend flow series based on rainfall data, perform flood frequency analysis, or develop flo...
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Weiping Liu, Xiaoyan Luo, Faming Huang, Mingfu Fu
Pág. 1 - 17
It is important to determine the soil?water characteristic curve (SWCC) for analyzing slope seepage and stability under the conditions of rainfall. However, SWCCs exhibit high uncertainty because of complex influencing factors, which has not been previou...
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Weiping Liu, Xiaoyan Luo, Faming Huang and Mingfu Fu
It is important to determine the soil?water characteristic curve (SWCC) for analyzing slope seepage and stability under the conditions of rainfall. However, SWCCs exhibit high uncertainty because of complex influencing factors, which has not been previou...
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Nuaman Ejaz, Aftab Haider Khan, Muhammad Shahid, Kifayat Zaman, Khaled S. Balkhair, Khalid Mohammed Alghamdi, Khalil Ur Rahman and Songhao Shang
Satellite precipitation products (SPPs) are undeniably subject to uncertainty due to retrieval algorithms and sampling issues. Many research efforts have concentrated on merging SPPs to create high-quality merged precipitation datasets (MPDs) in order to...
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Hadis Pakdel, Dev Raj Paudyal, Sreeni Chadalavada, Md Jahangir Alam and Majid Vazifedoust
The frequency and severity of extremes, including extreme precipitation events, extreme evapotranspiration and extreme water storage deficit events, are changing. Thus, the necessity for developing a framework that estimates non-stationary conditions is ...
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Bo Liu, Peng Zhang, Shubo Wu, Yajie Zou, Linbo Li and Shuning Tang
Parking duration analysis is an important aspect of evaluating parking demand. Identifying accurate distribution characteristics of parking duration can not only enhance parking efficiency and parking facility planning, but also provide essential support...
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Wenyu Cao, Benbo Sun and Pengxiao Wang
Rapidly developed deep learning methods, widely used in various fields of civil engineering, have provided an efficient option to reduce the computational costs and improve the predictive capabilities. However, it should be acknowledged that the applicat...
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Bin Meng and Na Lu
Controlled flight into terrain (CFIT) is considered a typical accident category of ?low-probability-high consequence?. Human factors play an important role in CFIT accidents in such a complex and high-risk system. This study aims to explore the causal re...
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Rolando Gonzales Martínez
An analytical Bayesian approach to seasonal analysis is proposed, using robust priors to control for extreme observations. Seasonal fan charts were estimated with Bayesian predictive densities. Empirical applications to U.S. residential electricity consu...
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Arman Kakaie, C. Guedes Soares, Ahmad Kamal Ariffin and Wonsiri Punurai
A fracture mechanics-based fatigue reliability analysis of a submarine pipeline is investigated using the Bayesian approach. The proposed framework enables the estimation of the reliability level of submarine pipelines based on limited experimental data....
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Florimond De Smedt, Prabin Kayastha and Megh Raj Dhital
Naïve Bayes classification is widely used for landslide susceptibility analysis, especially in the form of weights-of-evidence. However, when significant conditional dependence is present, the probabilities derived from weights-of-evidence are biased, re...
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Rafael G. Ramos
Standardized crime rates (e.g., ?homicides per 100,000 people?) are commonly used in crime analysis as indicators of victimization risk but are prone to several issues that can lead to bias and error. In this study, a more robust approach (GWRisk) is pro...
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Clara Pereira, Ana Silva, Cláudia Ferreira, Jorge de Brito, Inês Flores-Colen and José D. Silvestre
In the field of building inspection and diagnosis, uncertainty is common and surveyors are aware of it, although it is not easily measured. This research proposes a model to quantify uncertainty based on the inspection of rendered façades. A Bayesian net...
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Tom Burr, Andrea Favalli, Marcie Lombardi and Jacob Stinnett
Radioisotope identification (RIID) algorithms for gamma-ray spectroscopy aim to infer what isotopes are present and in what amounts in test items. RIID algorithms either use all energy channels in the analysis region or only energy channels in and near i...
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