A systematic model identification procedure in geotechnical prediction based on the information criteria (Record no. 117294)

MARC details
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005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260818223759.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 191197s1994 th uzm rtt 00| a1eng d
035 ## - SYSTEM CONTROL NUMBER
System control number .b10661438
099 #9 - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number AIT Diss. no. GT-93-01
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Liu, Wen-tsung
245 12 - TITLE STATEMENT
Title A systematic model identification procedure in geotechnical prediction based on the information criteria
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Bangkok :
Name of publisher, distributor, etc. Asian Institute of Technology,
Date of publication, distribution, etc. 1994
300 ## - PHYSICAL DESCRIPTION
Extent 307 leaves :
Other physical details ill.
490 1# - SERIES STATEMENT
Series statement Dissertation ;
Volume/sequential designation no. GT-93-01
500 ## - GENERAL NOTE
General note A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Engineering, School of Engineering and Technology
502 ## - DISSERTATION NOTE
Dissertation note Thesis (Ph.D.) - Asian Institute of Technology, 1994
520 ## - SUMMARY, ETC.
Summary, etc. Inverse analysis was applied to estimate pa:ameters based on the observed data and other information. The difference between this method and the conventional trial and error procedure is that it employs statistical formulations and optimizational techniques to execute the calibration in a much more systematic and rational way. The difficulties encountered in geotechnical inverse analysis can be classified in terms of instability, non-uniqueness and multicollinearity. The objective of this dissertation is to propose a new statistical formulation which may be termed as the extended Bayesian method for the inverse problem. This solved the difficulties encountered in the geotechnical inverse analysis of this research. The key point of this method is to establish a way of matching two different types of information, i.e. the observed data and the prior information based on a new view of Bayesian statistics proposed by Akaike. The concept is exactly the same as the one he developed in his Akaike Information Criterion. The methodology is illustrated by a case study of a three-meter high control embankment on untreated marine clay at Muar Flat, Malaysia. This embankment provides the laboratory test data and the field instrumentation data. For analyzing the data, the FEM program CRISP was used in the calculation of this study. Based on the analysis of the laboratory data, it was obvious that multicollinearity exists in the estimated parameters. It was also found that the multicolli nearity comes from two sources, namely the model structure and the sampling scheme. The former suggests that the dimension of the estimated parameters should be reduced to a working limit based on the parameter sensitivity, while the latter suggests that too much available data employed in the case could reduce the parameters' uncertainty effectively. Analyzing the field cases, it was proved that the extended Bayesian formulation can overcome the following critical problems in geotechnical inverse analysis: (1) The instability and non-uniqueness of the solution encountered in the formulation based on the maximum likelihood method. (2) The appropriate matching of two different types of information, i.e. the objective information (the observed data) and the subjective information (the prior information). (3) The model identification problem: to choose the most appropriate model for prediction which has a moderate degree of sophistication based on the various amounts of data.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Soils
General subdivision Analysis
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Soil mechanics
General subdivision Mathematical models
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Sugimoto, M.,
Relator term Chairperson
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Balasubramaniam, A.S.,
Relator term Examination Committee
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Bergado, Dennes T.,
Relator term Examination Committee
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Noppadol Phien-Wej,
Relator term Examination Committee
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Fujiwara, Okitsugu,
Relator term Examination Committee
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Honjo, Y.,
Relator term Examination Committee
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Republic of China,
Relator term Scholarship Donor
810 2# - SERIES ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Asian Institute of Technology.
Title of a work Dissertation ;
Volume/sequential designation no. GT-93-01
856 ## - ELECTRONIC LOCATION AND ACCESS
Materials specified Full-Text
Uniform Resource Identifier <a href="http://203.159.5.9/ait-thesis/detail.php?q=B15839">http://203.159.5.9/ait-thesis/detail.php?q=B15839</a>
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Cataloger's initials, CIN (RLIN) 951012
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Koha item type 20-AIT Publication
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type 22-AIT Thesis (Replacement)
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Koha item type 40-Archives
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      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library AIT Publications 18/08/2026   AIT Diss. no. GT-93-01 30050120929426 18/08/2026 1 18/08/2026 20-AIT Publication
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library AIT Publications 18/08/2026   AIT Diss. no. GT-93-01 30050120596027 18/08/2026 3 18/08/2026 22-AIT Thesis (Replacement)
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library Archives 18/08/2026   AIT Diss. no. GT-93-01 30050160003504 18/08/2026 1 18/08/2026 40-Archives
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