東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Design parameters of sands from pres...

Chang, Nianchiu,

Linked to FindBook

Google Book

Amazon

博客來

Design parameters of sands from pressuremeter data: Interpretation and application /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Design parameters of sands from pressuremeter data: Interpretation and application // Nianchiu Chang.
Author:	Chang, Nianchiu,
Description:	1 electronic resource (217 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 56-02, Section: B.
Contained By:	Dissertations Abstracts International56-02B.
Subject:	Civil engineering. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9419628
ISBN:	9798208204504

Design parameters of sands from pressuremeter data: Interpretation and application /
Chang, Nianchiu,

Design parameters of sands from pressuremeter data: Interpretation and application /Nianchiu Chang. - 1 electronic resource (217 pages)

Source: Dissertations Abstracts International, Volume: 56-02, Section: B.

Existing methods for interpreting design parameters from pressuremeter data are examined in this research. Several procedures based on confidence interval analysis, statistical inference analysis, and fuzzy inference analysis are established. They are used to reduce model uncertainties associated with existing interpretation methods. Each procedure is then examined for its reliability in predicting design parameters through a series of sensitivity analyses and design verification. A total of thirty-one sets of pressuremeter data, collected from three well-documented sites, is used in this research. The design parameters derived from each pressuremeter test data based on different procedures are used in the design verification. In other words, the results of foundation design using the derived parameters are compared with the results of full scale load tests. From this comparison, the most reliable procedure is determined. The results of this study indicate that model uncertainty in the interpretation of design parameters can be reduced using the developed procedures. Among these procedures, the one based on the statistical inference analysis is shown to be the most reliable.

English

ISBN: 9798208204504Subjects--Topical Terms:

860360
Civil engineering.

Design parameters of sands from pressuremeter data: Interpretation and application /
LDR:02463nmm a22003853i 4500 001 2396262
005 20250522083219.5
006 m o d
007 cr|nu||||||||
008 251215s1993 miu||||||m |||||||eng d
020 $a 9798208204504
035 $a (MiAaPQD)AAI9419628
035 $a AAI9419628
040 $a MiAaPQD $b eng $c MiAaPQD $e rda
100 1 $a Chang, Nianchiu, $e author. $3 3765936
245 1 0 $a Design parameters of sands from pressuremeter data: Interpretation and application / $c Nianchiu Chang.
264 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 1993
300 $a 1 electronic resource (217 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertations Abstracts International, Volume: 56-02, Section: B.
500 $a Publisher info.: Dissertation/Thesis.
500 $a Advisors: Juang, C. Hsein.
502 $b Ph.D. $c Clemson University $d 1993.
520 $a Existing methods for interpreting design parameters from pressuremeter data are examined in this research. Several procedures based on confidence interval analysis, statistical inference analysis, and fuzzy inference analysis are established. They are used to reduce model uncertainties associated with existing interpretation methods. Each procedure is then examined for its reliability in predicting design parameters through a series of sensitivity analyses and design verification. A total of thirty-one sets of pressuremeter data, collected from three well-documented sites, is used in this research. The design parameters derived from each pressuremeter test data based on different procedures are used in the design verification. In other words, the results of foundation design using the derived parameters are compared with the results of full scale load tests. From this comparison, the most reliable procedure is determined. The results of this study indicate that model uncertainty in the interpretation of design parameters can be reduced using the developed procedures. Among these procedures, the one based on the statistical inference analysis is shown to be the most reliable.
546 $a English
590 $a School code: 0050
650 4 $a Civil engineering. $3 860360
650 4 $a Geotechnology. $3 1018558
650 4 $a Statistics. $3 517247
690 $a 0543
690 $a 0428
690 $a 0463
710 2 $a Clemson University. $e degree granting institution. $3 3765937
720 1 $a Juang, C. Hsein $e degree supervisor.
773 0 $t Dissertations Abstracts International $g 56-02B.
790 $a 0050
791 $a Ph.D.
792 $a 1993
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9419628