Probabilistic method
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Probabilistic prediction of fatigue damage based on linear fracture mechanics Open
Paper describes in detail and gives example of the probabilistic assessment of a steel structural element subject to fatigue load, particular attention being paid to cracks from the edge and those from surface. Fatigue crack damage depends…
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The Erd\H{o}s Matching Conjecture and concentration inequalities Open
More than 50 years ago, Erd\\H os asked the following question: what is the\nmaximum size of a family $\\mathcal F$ of $k$-element subsets of an $n$-element\nset if it has no $s+1$ pairwise disjoint sets? This question attracted a lot of\n…
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Vehicle assisted bridge damage assessment using probabilistic deep learning Open
Vehicle assisted monitoring has shown promising potential for the condition assessment of existing bridges in a road network, by removing practical complications faced in traditional Structural health monitoring (SHM) methods such as traff…
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Inspection Based Probabilistic Modeling of Fatigue Crack Progression Open
Attention to the fatigue cracks in steel structures and bridges has been paid for a long time. Fatigue crack damage depends on a number of stress range cycles. Three sizes are important for the characteristics of the propagation of fatigue…
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Probabilistic Assessment and Uncertainty Analysis of CO2 Storage Capacity of the Morrow B Sandstone—Farnsworth Field Unit Open
This paper presents probabilistic methods to estimate the quantity of carbon dioxide (CO2) that can be stored in a mature oil reservoir and analyzes the uncertainties associated with the estimation. This work uses data from the Farnsworth …
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Direct Probabilistic Load Flow in Radial Distribution Systems Including Wind Farms: An Approach Based on Data Clustering Open
The ongoing study aims to establish a direct probabilistic load flow (PLF) for the analysis of wind integrated radial distribution systems. Because of the stochastic output power of wind farms, it is very important to find a method which c…
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Probabilistic Assessment Method of Hydrometeorological Conditions and their Impact on the Efficiency of Ship Operation Open
Among the most important ship operational characteristics, that determine the carrying capacity as well as the time of cargo delivery is speed.The speed depends on not only ship's main engine specification and design solutions in respect o…
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Robust probabilistic modelling of mould growth in building envelopes using random forests machine learning algorithm Open
Probabilistic methods can be used to account for uncertainties in hygrothermal analysis of building envelopes. This paper presents methods for robust mould reliability analysis and identification of critical parameters. Mould indices are c…
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Sharper bounds for uniformly stable algorithms Open
Deriving generalization bounds for stable algorithms is a classical question in learning theory taking its roots in the early works by Vapnik and Chervonenkis (1974) and Rogers and Wagner (1978). In a series of recent breakthrough papers b…
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Reliability Approaches Affecting the Sustainability of Concrete Structures Open
The most important reliability approaches affecting sustainability in construction consist of the target reliability levels, verification methods, and construction or intervention procedures. The optimum target reliability levels can be sp…
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Sharp threshold results for computational complexity Open
© 2020 ACM. We establish several "sharp threshold" results for computational complexity. For certain tasks, we can prove a resource lower bound of nc for c ≥ 1 (or obtain an efficient circuit-analysis algorithm for nc size), there is stron…
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Application of Probabilistic Method on Daehee Sequences Open
In this paper, we investigate some combinatorial sequences based on Daehee and Changhee numbers and polynomials, then derive their moment representations in use of probabilistic method. We also provide identities related to Daehee numbers…
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Wlan–Based Indoor Localization Using Neural Networks Open
Wireless indoor localization has generated recent research interest due to its numerous applications. This work investigates Wi-Fi based indoor localization using two variants of the fingerprinting approach. Specifically, we study the appl…
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Structural Reliability Analysis Using DOProC Method Open
Various calculation methods based on the theory of probability and statistics are used for structural analysis and reliability assessment. Those methods so-called probabilistic have been becoming very popular recently. Using the probabilis…
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Probabilistic-WCET Reliability Open
The interest in probabilistic real-time is increasing, in response to the lack of traditional static WCET analysis methods for applications running on complex systems, like multi/many-cores and COTS platforms. However, the probabilistic th…
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The Idea of Using Bayesian Networks in Forecasting Impact of Traffic-Induced Vibrations Transmitted through the Ground on Residential Buildings Open
Traffic–induced vibrations may constitute a considerable load to buildings. In this paper, vibrations transmitted through the ground caused by wheeled vehicles are considered. This phenomenon may cause cracking of plaster, cracks in load-b…
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Investigation of probabilistic models for forecasting the efficiency of proppant hydraulic fracturing technology Open
To solve the problems accompanying the development of forecasting methods, a probabilistic method of data analysis is proposed. Using a carbonate object as an example, the application of a probabilistic technique for predicting the effecti…
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Maintenance Cost Estimation in PSCI Girder Bridges Using Updating Probabilistic Deterioration Model Open
A deterioration model plays an important role to predict the valid total maintenance cost for sustainable maintenance of bridges. In the current state-of-the-art, the deterioration model has regression parameters as a probabilistic process…
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Probabilistic analysis of a concrete column in an aggressive soil environment Open
Sulphate attack is one of the most important factors that limit the lifetime of pure concrete constructions. Harsh environmental conditions have a large impact on the operational costs of concrete columns or piles dipped into soil. The res…
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An Efficient Methodology to Estimate Probabilistic Seismic Damage Curves Open
The incremental dynamic analysis (IDA) is a powerful methodology that can be easily extended for calculating probabilistic seismic damage curves. These curves are metadata to assess the seismic risk of structures. Although this methodology…
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Quantitative Identification of Construction Risk Open
Risks pertaining to construction work relate to situations in which various events may randomly change the duration and cost of the project or worsen its quality. Because of possible significant changes of random events, favorable, moderat…
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Application of Probabilistic Method to Stability Analysis of Gravity Dam Foundation over Multiple Sliding Planes Open
The current challenge to the engineering profession is to carry out probabilistic methods in practice. The design point method in generalized random space (DPG method) associated with the method of divided difference can be utilized to dea…
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Accounting for Uncertainties in the Safety Assessment of Concrete Gravity Dams: A Probabilistic Approach with Sample Optimization Open
Important advances have been made in the methodologies for assessing the safety of dams, resulting in the review and modification of design guidelines. Many existing dams fail to meet these revised criteria, and structural rehabilitation t…
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Early-stage assessment of structural damage caused by braced excavations: Uncertainty quantification and a probabilistic analysis approach Open
Current early stage assessment methods for deep excavation induced structural damage have large uncertainty due to modeling idealizations (simplification in analyses) and ignorance (incompleteness of information). This paper implements an …
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GLCM of Fuzzy Clustering Means for Textural Future Extraction of Brain Tumor in Probabilistic Neural Networks Open
Brain tumor is one of the major causes of death among people. It is evident that the chances of survival can be increased if the tumor is detected and classified correctly at its early stage. normal strategies encompass obvious strategies,…
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A Risk Assessment Model for Dam Combining the Probabilistic and the Nonprobabilistic Methods Open
The dam reliability study is essential for dam operation safety, regarding the complexity in dam failure causes. The assessment of the dam reliability is now mainly probabilistic or nonprobabilistic. The probabilistic method is usually app…
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Analysis of probabilistic load flow using point estimation method to evaluate the quantiles of electrical networks state variables Open
The objective of the study is to provide a clear and comprehensive analysis of probabilistic load flow (PLF) using the point estimation method, and its accuracy in the evaluation of the quantiles of the state variables of real electrical d…
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Fatigue damage prediction of short edge crack under various load: Direct Optimized Probabilistic Calculation Open
Fatigue crack propagation depends on a number and value of stress range cycles. This is a time factor in the course of reliability for the entire designed service life. Three sizes are important for the characteristics of the propagation o…
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Design of Robust Green Buildings Using a Non-probabilistic Uncertainty Analysis Method Open
Uncertainty analysis has become an active research area in the field of building energy analysis because most of parameters are inherently uncertain in buildings. Most of previous studies implement probabilistic-based uncertainty analysis,…
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PROTAX-Sound: A probabilistic framework for automated animal sound identification Open
Autonomous audio recording is stimulating new field in bioacoustics, with a great promise for conducting cost-effective species surveys. One major current challenge is the lack of reliable classifiers capable of multi-species identificatio…