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    Calibration and Bias-Correction of the Steel Offshore Jacket Platform Models Using Experimental Data

    Source: Journal of Waterway, Port, Coastal, and Ocean Engineering:;2019:;Volume ( 145 ):;issue: 003
    Author:
    Hamid Hokmabady; Alireza Mojtahedi; Mohammad Ali Lotfollahi-Yaghin; Ismail Farajpour
    DOI: 10.1061/(ASCE)WW.1943-5460.0000509
    Publisher: American Society of Civil Engineers
    Abstract: Offshore jacket platforms are of great importance due to their roles in shallow water areas, such as the Persian Gulf. Building infrastructures are always a challenge for engineers because of uncertainties in different aspects. Using an experimental model is an essential technique for reducing uncertainties. However, using experimental data adds other uncertainties to the problems and dealing with them can play a key role in project applicability and success. Uncertainties in every engineering problem can be classified into three distinct groups related to the computer model: (1) numerical uncertainty, (2) parameter uncertainty, and (3) structural uncertainty. Among these categorized uncertainties, the second and the third ones are considered for the case study of this research. In this study, model parameter uncertainties and the structural uncertainties have been considered simultaneously. This approach is applied to a three-dimensional (3D) fixed offshore jacket model (SPD9 located in the Persian Gulf) for the first time in the offshore structure field, both numerically and experimentally. Disagreements between the numerical model predictions and experiments are reduced by considering the calibration of model uncertain parameters and a discrepancy term, which is defined by a mathematical function for a real project. Therefore, the main benefits and innovations of the methodology can be stated as (1) using experimental data through modal analysis of a 3D steel offshore jacket platform for numerical model updating and (2) developing a previously studied method through reducing parametric and structural uncertainties simultaneously. The results express the success of considering parameter uncertainty and structural uncertainty for the previously mentioned case study by decreasing the disagreements between experimental data and numerical simulation. The results also indicate the importance of considering a discrepancy term in the calculation phase as a model form error term due to increasing the applicability of the proposed method for an offshore jacket platform.
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      Calibration and Bias-Correction of the Steel Offshore Jacket Platform Models Using Experimental Data

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4254422
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    • Journal of Waterway, Port, Coastal, and Ocean Engineering

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    contributor authorHamid Hokmabady; Alireza Mojtahedi; Mohammad Ali Lotfollahi-Yaghin; Ismail Farajpour
    date accessioned2019-03-10T11:52:27Z
    date available2019-03-10T11:52:27Z
    date issued2019
    identifier other%28ASCE%29WW.1943-5460.0000509.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4254422
    description abstractOffshore jacket platforms are of great importance due to their roles in shallow water areas, such as the Persian Gulf. Building infrastructures are always a challenge for engineers because of uncertainties in different aspects. Using an experimental model is an essential technique for reducing uncertainties. However, using experimental data adds other uncertainties to the problems and dealing with them can play a key role in project applicability and success. Uncertainties in every engineering problem can be classified into three distinct groups related to the computer model: (1) numerical uncertainty, (2) parameter uncertainty, and (3) structural uncertainty. Among these categorized uncertainties, the second and the third ones are considered for the case study of this research. In this study, model parameter uncertainties and the structural uncertainties have been considered simultaneously. This approach is applied to a three-dimensional (3D) fixed offshore jacket model (SPD9 located in the Persian Gulf) for the first time in the offshore structure field, both numerically and experimentally. Disagreements between the numerical model predictions and experiments are reduced by considering the calibration of model uncertain parameters and a discrepancy term, which is defined by a mathematical function for a real project. Therefore, the main benefits and innovations of the methodology can be stated as (1) using experimental data through modal analysis of a 3D steel offshore jacket platform for numerical model updating and (2) developing a previously studied method through reducing parametric and structural uncertainties simultaneously. The results express the success of considering parameter uncertainty and structural uncertainty for the previously mentioned case study by decreasing the disagreements between experimental data and numerical simulation. The results also indicate the importance of considering a discrepancy term in the calculation phase as a model form error term due to increasing the applicability of the proposed method for an offshore jacket platform.
    publisherAmerican Society of Civil Engineers
    titleCalibration and Bias-Correction of the Steel Offshore Jacket Platform Models Using Experimental Data
    typeJournal Paper
    journal volume145
    journal issue3
    journal titleJournal of Waterway, Port, Coastal, and Ocean Engineering
    identifier doi10.1061/(ASCE)WW.1943-5460.0000509
    page04019008
    treeJournal of Waterway, Port, Coastal, and Ocean Engineering:;2019:;Volume ( 145 ):;issue: 003
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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