Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Pengyong Miao"'
Publikováno v:
Case Studies in Construction Materials, Vol 19, Iss , Pp e02453- (2023)
The freeze-thaw (F-T) properties of ordinary concrete have been extensively studied and related models were well-established. However, these models cannot be used to accurately assess the F-T damage of dune sand and fiber reinforced concrete (DSFC),
Externí odkaz:
https://doaj.org/article/47410f90f55b4b3cb167942a5bfe645b
Publikováno v:
Applied Sciences, Vol 12, Iss 24, p 12536 (2022)
This paper presents a transient-dynamic method (TDM), to investigate the dynamic responses of a railway formation under a train moving load using a three-dimensional finite element model. First, the feasibility of the TDM was verified, by comparing t
Externí odkaz:
https://doaj.org/article/e78e9b147da042c089404c2c64bee65d
Autor:
Pengyong Miao
Publikováno v:
Advances in Civil Engineering, Vol 2021 (2021)
Bridge deterioration is affected by various factors. However, neither the relationships between these factors and deterioration are explicitly determined, nor the relative effect of each factor on deterioration is well understood. This study proposed
Externí odkaz:
https://doaj.org/article/5357cd46bbea450c9420141a6d42a35d
Autor:
Pengyong Miao, Hiroshi Yokota
Publikováno v:
Structure and Infrastructure Engineering. :1-13
Publikováno v:
Structure and Infrastructure Engineering. 19:475-489
Bridge censored databases can be used to analyze and assess structural deterioration conditions, but conducting the analysis is difficult. This difficulty occurs because many factors affect deterioration, and the time span of the data for these facto
Publikováno v:
Structure and Infrastructure Engineering. 18:219-229
Maintenance continues for structure’s life cycle, which usually costs a lot. Inspection and/or monitoring are widely implemented to investigate the conditions of the structures. Existing databases ...
Publikováno v:
Construction and Building Materials. 366:129928
Autor:
Teeranai Srimahachota, Pengyong Miao
Publikováno v:
Construction and Building Materials. 293:123549
This study proposed a semi-automated system for crack detection and quantification, based on the combination of a trained convolutional neural network (CNN) and a developed application. Specifically, we tested four commonly used CNNs and determined G