Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Seyed-Farzan Kazemi"'
Autor:
Danial Mohammadzadeh S., Seyed-Farzan Kazemi, Amir Mosavi, Ehsan Nasseralshariati, Joseph H. M. Tah
Publikováno v:
Infrastructures, Vol 4, Iss 2, p 26 (2019)
In construction projects, estimation of the settlement of fine-grained soils is of critical importance, and yet is a challenging task. The coefficient of consolidation for the compression index (Cc) is a key parameter in modeling the settlement of fi
Externí odkaz:
https://doaj.org/article/351c588604984fac9f4123948aa81d4c
Autor:
Seyed-Farzan Kazemi, Elie Y. Hajj, Hao Xu, Peter E. Sebaaly, Gary Bailey, Muluneh Sime, Rami Chkaiban
Publikováno v:
RILEM Bookseries ISBN: 9783030464547
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b81f2e79c1253b2d03821d5aa479a4ce
https://doi.org/10.1007/978-3-030-46455-4_89
https://doi.org/10.1007/978-3-030-46455-4_89
Autor:
Adam J. T. Hand, Raj V. Siddharthan, Seyed-Farzan Kazemi, Dario Batioja-Alvarez, Elie Y. Hajj
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 2672:229-241
The trucking industry is the primary mode of transporting for goods and commodities in the United States. Currently, there is an increasing trend in the use of overweight (OW) vehicles on the highway network. State highway agencies (SHAs) are challen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9563ceb51276177d1b5271d25dd2888e
https://doi.org/10.1177/0361198118793243
https://doi.org/10.1177/0361198118793243
Publikováno v:
Construction and Building Materials. 171:697-707
Moisture damage is a major source of pavement distress and may cause premature failure. In this study, moisture damage due to evaporation was investigated. A microscale finite-element model coupled with comprehensive laboratory testing was developed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aae0876c4d58626ccd93a7f3b1f20a3e
https://doi.org/10.1016/j.conbuildmat.2018.03.171
https://doi.org/10.1016/j.conbuildmat.2018.03.171
Autor:
Amir Mosavi, Danial Mohammadzadeh S., Ehsan Nasseralshariati, Joseph H. M. Tah, Seyed-Farzan Kazemi
Publikováno v:
Infrastructures
Volume 4
Issue 2
Infrastructures, Vol 4, Iss 2, p 26 (2019)
Volume 4
Issue 2
Infrastructures, Vol 4, Iss 2, p 26 (2019)
In construction projects, estimation of the settlement of fine-grained soils is of critical importance, and yet is a challenging task. The coefficient of consolidation for the compression index (Cc) is a key parameter in modeling the settlement of fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c0e038153ef04532ecdab59322e2afb
Appropriate estimation of soil settlement is of significant importance since it directly influences the performance of building and infrastructures that are built on soil. In particular, the settlement of fine-grained soils is critical because of low
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e09567f4cd1f659a167a725146d05d5b
https://doi.org/10.20944/preprints201903.0049.v1
https://doi.org/10.20944/preprints201903.0049.v1
Autor:
Dario Batioja-Alvarez, Seyed-Farzan Kazemi, Raj V. Siddharthan, Elie Y. Hajj, Adam J. T. Hand
Publikováno v:
Advances in Materials and Pavement Performance Prediction ISBN: 9780429457791
Advances in Materials and Pavement Performance Prediction
Advances in Materials and Pavement Performance Prediction
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db64b608d6939407c154a983c2ea4634
https://doi.org/10.1201/9780429457791-7
https://doi.org/10.1201/9780429457791-7
Publikováno v:
JMIR Public Health and Surveillance
Background The literature in statistics presents methods by which autocorrelation can identify the best period of measurement to improve the performance of a time-series prediction. The period of measurement plays an important role in improving the p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10577e623d682536415e2769731d2cf0
https://pubmed.ncbi.nlm.nih.gov/30664479
https://pubmed.ncbi.nlm.nih.gov/30664479
BACKGROUND The literature in statistics presents methods by which autocorrelation can identify the best period of measurement to improve the performance of a time-series prediction. The period of measurement plays an important role in improving the p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1e05f5252841625b3c809abe1115096
https://doi.org/10.2196/preprints.11357
https://doi.org/10.2196/preprints.11357