Effect of sampling locations on reliability of pile groups
Effect of sampling locations on reliability of pile groups
Geotechnical site investigations represent an imperative prerequisite in the pursuit of reliable foundation designs. However, site investigations are frequently restricted to a limited number of locations owing to the constraints imposed by budget and time considerations, thereby potentially yielding a range of adverse consequences. Hence, the development of an efficient site investigation plan - one that optimally selects the number and location of tests, is important to gain adequate information for a given cost. This paper proposes a framework to identify optimal investigation locations by minimizing the probability of erroneous decisions (i.e., error types I and II). A pile group was adopted for the demonstration. The best locations corresponding to various numbers of tests were identified based on the derived probabilities of type I and II errors.
Zhang, Yuting
821b7687-fe98-4525-b641-2ea503797319
Zou, Di
05b8951c-b5db-445c-bec6-55193a301923
Zhang, Yuting
821b7687-fe98-4525-b641-2ea503797319
Zou, Di
05b8951c-b5db-445c-bec6-55193a301923
Zhang, Yuting and Zou, Di
(2024)
Effect of sampling locations on reliability of pile groups.
In Geo Shanghai International Conference 2024 - Volume 7: Ground Improvement and Foundations.
vol. 1336,
7 pp
.
(doi:10.1088/1755-1315/1336/1/012040).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Geotechnical site investigations represent an imperative prerequisite in the pursuit of reliable foundation designs. However, site investigations are frequently restricted to a limited number of locations owing to the constraints imposed by budget and time considerations, thereby potentially yielding a range of adverse consequences. Hence, the development of an efficient site investigation plan - one that optimally selects the number and location of tests, is important to gain adequate information for a given cost. This paper proposes a framework to identify optimal investigation locations by minimizing the probability of erroneous decisions (i.e., error types I and II). A pile group was adopted for the demonstration. The best locations corresponding to various numbers of tests were identified based on the derived probabilities of type I and II errors.
Text
Zhang_2024_IOP_Conf._Ser.__Earth_Environ._Sci._1336_012040
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e-pub ahead of print date: 22 May 2024
Venue - Dates:
5th GeoShanghai International Conference, GeoShanghai 2024, , Shanghai, China, 2024-05-26 - 2024-05-29
Identifiers
Local EPrints ID: 496227
URI: http://eprints.soton.ac.uk/id/eprint/496227
ISSN: 1755-1307
PURE UUID: a5405d56-8650-459b-824c-5dc5639a7309
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Date deposited: 09 Dec 2024 17:41
Last modified: 21 Aug 2025 02:53
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Author:
Yuting Zhang
Author:
Di Zou
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