DocumentCode :
1591125
Title :
Application of Entropy-Based Optimization Technique to Deep Foundation Excavations
Author :
Shi, Huawang
Author_Institution :
Sch. of Civil Eng., Hebei Univ. of Eng., Handan, China
Volume :
2
fYear :
2010
Firstpage :
287
Lastpage :
290
Abstract :
In view of the characteristics of soft soil deep foundation excavations for the construction and geotechnical characteristics of the braced excavation, it is difficult to calculate theoretically accurately optimization analysis of bracing systems of the foundation excavation, so in the course of excavation on the construction of the information is particularly important. In this paper, the theory basis of the indexes system of the safety assessment was studied, including the establishing principles of the indexes system, the structure of the indexes system, the determining methods of the assessment indexes. Then, the every index´s overall sorting weight is determined, the comprehensive evaluation results are obtained to evaluate the degree of superiority and inferiority of bracing schemes measured by means of entropies, which are defined using Shannon´s informational entropy theory. An example application of the proposed methodology to the optimization of bracing systems is discussed.
Keywords :
accident prevention; entropy; excavators; foundations; geotechnical engineering; optimisation; risk management; soil; Shannon informational entropy theory; braced excavation; bracing systems; construction process; deep foundation excavations; entropy-based optimization technique; geotechnical characteristics; safety assessment; soft soil; Analytical models; Application software; Civil engineering; Computational modeling; Computer simulation; Entropy; Information analysis; Safety; Soil; Sorting; braced excavation; entropy; optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Modeling and Simulation, 2010. ICCMS '10. Second International Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-1-4244-5642-0
Electronic_ISBN :
978-1-4244-5643-7
Type :
conf
DOI :
10.1109/ICCMS.2010.165
Filename :
5421078
Link To Document :
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