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Robust Geotechnical Design Optimization of Retaining Walls and Levees.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Robust Geotechnical Design Optimization of Retaining Walls and Levees./
作者:	Rahbari, Parishad.
面頁冊數:	1 online resource (164 pages)
附註:	Source: Dissertation Abstracts International, Volume: 79-04(E), Section: B.
Contained By:	Dissertation Abstracts International79-04B(E).
標題:	Geotechnology. -
電子資源:	click for full text (PQDT)
ISBN:	9780355345469

Robust Geotechnical Design Optimization of Retaining Walls and Levees.
Rahbari, Parishad.

Robust Geotechnical Design Optimization of Retaining Walls and Levees. - 1 online resource (164 pages)

Source: Dissertation Abstracts International, Volume: 79-04(E), Section: B.

Thesis (Ph.D.)

Includes bibliographical references

This dissertation presents a robust geotechnical design optimization framework for retaining walls with sand backfill and lightweight shredded tire backfill subjected to earthquake load, and I-wall levee systems supported by sand foundation and clay foundation subjected to flood. The responses of retaining walls and levee systems are highly uncertain especially when subjected to natural disasters such as earthquake and flooding. The variations in the response of these systems are caused by the uncertainties associated with not only the soil properties, but also the loads induced by earthquake and flood. These critical systems must show satisfactory performance under these uncertainties because their failure may result in loss of life and property as noted in the past events. Therefore, in this study, the uncertainties in engineering properties of soils (backfill in retaining walls, levee fill and foundation in I-wall levee systems) were considered systematically along with the uncertainty in the external loads (earthquake in retaining walls and flooding in I-wall levee systems). The key design variables of these two systems were determined and based on their ranges several design cases were generated. Fully coupled finite element analyses were performed for computing responses of concern accurately, and appropriate response surfaces were developed for the respective responses of concern. Using the response surface and via a genetic algorithm code, the designs of these systems were optimized to cost and robustness while satisfying the safety constraints. Sets of preferred designs, known as Pareto fronts, were captured through the bi-objective robust optimizations that can be used as a decision-making tool for selecting the suitable design in engineering practice.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355345469Subjects--Topical Terms:

1179676
Geotechnology.
Index Terms--Genre/Form:

554714
Electronic books.

Robust Geotechnical Design Optimization of Retaining Walls and Levees.
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502 $a Thesis (Ph.D.) $c Clemson University $d 2017.
504 $a Includes bibliographical references
520 $a This dissertation presents a robust geotechnical design optimization framework for retaining walls with sand backfill and lightweight shredded tire backfill subjected to earthquake load, and I-wall levee systems supported by sand foundation and clay foundation subjected to flood. The responses of retaining walls and levee systems are highly uncertain especially when subjected to natural disasters such as earthquake and flooding. The variations in the response of these systems are caused by the uncertainties associated with not only the soil properties, but also the loads induced by earthquake and flood. These critical systems must show satisfactory performance under these uncertainties because their failure may result in loss of life and property as noted in the past events. Therefore, in this study, the uncertainties in engineering properties of soils (backfill in retaining walls, levee fill and foundation in I-wall levee systems) were considered systematically along with the uncertainty in the external loads (earthquake in retaining walls and flooding in I-wall levee systems). The key design variables of these two systems were determined and based on their ranges several design cases were generated. Fully coupled finite element analyses were performed for computing responses of concern accurately, and appropriate response surfaces were developed for the respective responses of concern. Using the response surface and via a genetic algorithm code, the designs of these systems were optimized to cost and robustness while satisfying the safety constraints. Sets of preferred designs, known as Pareto fronts, were captured through the bi-objective robust optimizations that can be used as a decision-making tool for selecting the suitable design in engineering practice.
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538 $a Mode of access: World Wide Web
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