Analogy Survey-Compensating Method Based Bearing Capacity Test Research for Missing Data Bridge
نویسندگان
چکیده
منابع مشابه
Comparision of Methods for Determining Bearing Capacity of Piles Using Standard Penetration Test (SPT) Data
In recent years, determining bearing capacity of piles from in-situ testing data as a complement to static and dynamic analysis has been used by geotechnical engineers. In this paper, different approaches for estimating bearing capacity of piles from SPT data are studied and compared. A new method based on N value from SPT is presented. Data averaging, 
failure zone and plunging failure of p...
متن کاملComparision of Methods for Determining Bearing Capacity of Piles Using Standard Penetration Test (SPT) Data
In recent years, determining bearing capacity of piles from in-situ testing data as a complement to static and dynamic analysis has been used by geotechnical engineers. In this paper, different approaches for estimating bearing capacity of piles from SPT data are studied and compared. A new method based on N value from SPT is presented. Data averaging, failure zone and plunging failure of pil...
متن کاملA Method for Predicting Pile Capacity Using Cone Penetration Test Data
The massive construction in poor lands has encouraged engineers to use deep foundations in order to transfer superstructure loads to the subsoil. Since soil excavation, sampling, and laboratory testing as a part of site investigation are relatively difficult, in-situ tests such as cone penetration test (CPT) as a very informative test may be recommended. The CPT has been widely used in engineer...
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This paper reports the general results of research undertaken by Census Bureau staff. The views expressed are attributable to the authors and do not necessarily reflect those of the Census Bureau.
متن کاملCompensating for Missing Data from Longitudinal Studies Using WinBUGS
Missing data is a common problem in survey based research. There are many packages that compensate for missing data but few can easily compensate for missing longitudinal data. WinBUGS compensates for missing data using multiple imputation, and is able to incorporate longitudinal structure using random effects. We demonstrate the superiority of longitudinal imputation over cross-sectional imput...
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ژورنال
عنوان ژورنال: Hans Journal of Civil Engineering
سال: 2017
ISSN: 2326-3458,2326-3466
DOI: 10.12677/hjce.2017.63032