Comparative Study of Statistical Analysis Methods for Nonlinear Hydrodynamic Responses of Offshore Structures

2020 ◽  
Vol 142 (4) ◽  
Author(s):  
Dong-Hyun Lim ◽  
Yonghwan Kim
Keyword(s):  
Statistical Analysis ◽  
Probability Distribution ◽  
Transfer Functions ◽  
Volterra Series ◽  
Wave Spectrum ◽  
Offshore Structures ◽  
Second Order ◽  
Analysis Methods ◽  
Extreme Response ◽  
Statistical Analysis Methods

Abstract The present study compares the statistical analysis methods for nonlinear hydrodynamic responses in offshore engineering. In particular, the Kac–Siegert and Hermite-moment methods were compared for estimating the probability distribution of the second-order responses represented via the two-term Volterra series. The Kac–Siegert method analytically formulates the probability density function (PDF) of the second-order Volterra series using an eigenvalue problem constructed with the frequency-domain transfer functions and the wave spectrum, whereas the Hermite-moment method utilizes the statistical moments to determine the coefficients of the fitting function. In addition, the probability distribution of the peak values in the second-order Volterra series with high spectral bandwidth was derived explicitly. The fatigue damage rate and the extreme response were estimated analytically. The accuracy and applicability of each method were investigated by comparing the methods with the results of the direct sampling obtained from the time series.

The economy of the Chukotka Autonomous Okrug: On the path from monodependence to diversification

2020 ◽  
Vol 18 (4) ◽  
pp. 662-674
Author(s):  
S.G. Serikov
Keyword(s):  
Economic Development ◽  
Statistical Analysis ◽  
Gross Regional Product ◽  
Key Factors ◽  
Economic Problems ◽  
Analysis Methods ◽  
Socio Economic Development ◽  
Regional Product ◽  
Statistical Analysis Methods

Subject. This article explores the changes in the economic development of the Chukotka Autonomous Okrug during the Soviet and post-Soviet periods. Objectives. The article aims to identify trends and features of the socio-economic development of the Chukotka Autonomous Okrug. Methods. For the study, I used the comparative, computational, constructive, and statistical analysis methods. Results. The article reveals key factors in the growth of the Chukotka Autonomous Okrug's gross regional product and the economic challenges to the region. As well, the article considers and proposes some possible options for further socio-economic development of the Okrug. Conclusions. The Okrug's current socio-economic problems are caused by not objective reasons only, but subjective factors, as well.

RISK FACTORS FOR THE DEVELOPMENT OF INITIAL MANIFESTATIONS OF ATHEROGENIC CARDIOVASCULAR DISEASES IN PERSONNEL OF CHEMICALLY HAZARDOUS FACILITIES

2017 ◽  
pp. 2-7 ◽  
Author(s):  
V. A. Gorichny ◽  
D. Yu. Serdukov ◽  
A. V. Yazenok ◽  
A. V. Nosov ◽  
G. G. Zagorodnikov ◽  
...  
Keyword(s):  
Risk Factors ◽  
Statistical Analysis ◽  
Cardiovascular Diseases ◽  
Organophosphorus Compounds ◽  
Atherogenic Dyslipidemia ◽  
Chemical Weapons ◽  
Analysis Methods ◽  
High Incidence ◽  
And Control ◽  
Statistical Analysis Methods

An outpatient examination of 530 employees engaged in work with chemical weapons related to organophosphorus compounds at chemically hazardous facilities was carried out. Risk factors for the development of cardiovascular diseases of atherogenic etiology among personnel of the facilities were studied in relation to the type of work performed using statistical analysis methods. When assessing the lipidogram, a high incidence of atherogenic dyslipidemia in a group of personnel involved in the storage of chemical weapons was found out in comparison with a group of people engaged in the destruction and control of chemical weapons (73.1 vs 61.2 vs 59.6%, p

scholarly journals Quantification and Statistical Analysis Methods for Vessel Wall Components from Stained Images with Masson's Trichrome

PLoS ONE ◽  
2016 ◽  
Vol 11 (1) ◽  
pp. e0146954 ◽  
Author(s):  
Pablo Hernández-Morera ◽  
Irene Castaño-González ◽  
Carlos M. Travieso-González ◽  
Blanca Mompeó-Corredera ◽  
Francisco Ortega-Santana
Keyword(s):  
Statistical Analysis ◽  
Vessel Wall ◽  
Analysis Methods ◽  
Wall Components ◽  
Statistical Analysis Methods

Identification of key factors affecting the water pollutant concentration in the sluice-controlled river reaches of the Shaying River in China via statistical analysis methods

2015 ◽  
Vol 17 (8) ◽  
pp. 1492-1502
Author(s):  
Ming Dou ◽  
Yan Zhang ◽  
Qiting Zuo ◽  
Qingbin Mi
Keyword(s):  
Statistical Analysis ◽  
Environmental Factors ◽  
Pollutant Concentration ◽  
Key Factors ◽  
Factors Affecting ◽  
Analysis Methods ◽  
Water Pollutant ◽  
Strong Disturbance ◽  
Statistical Analysis Methods

The construction of sluices creates a strong disturbance in water environmental factors within a river.

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