東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Back Calculation of Intelligent Comp...

Gholamy, Afshin Gholamy.

FindBook

Google Book

Amazon

博客來

Back Calculation of Intelligent Compaction Data for Mechanical Properties of Soil System.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Back Calculation of Intelligent Compaction Data for Mechanical Properties of Soil System./
作者:	Gholamy, Afshin Gholamy.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
面頁冊數:	121 p.
附註:	Source: Dissertations Abstracts International, Volume: 80-08, Section: B.
Contained By:	Dissertations Abstracts International80-08B.
標題:	Geophysics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13419571
ISBN:	9780438811676

Back Calculation of Intelligent Compaction Data for Mechanical Properties of Soil System.
Gholamy, Afshin Gholamy.

Back Calculation of Intelligent Compaction Data for Mechanical Properties of Soil System. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 121 p.

Source: Dissertations Abstracts International, Volume: 80-08, Section: B.

Thesis (Ph.D.)--The University of Texas at El Paso, 2018.

This item must not be sold to any third party vendors.

For national economy, it is very important to have a reliable infrastructure. Because of this, all over the world, new roads are constantly being built and old roads are being maintained and, if necessary, expanded and/or repaired. Building a good quality road is very expensive, it costs several million dollars per kilometer. It is therefore crucial to make sure that the newly built and newly repaired roads are sufficiently stiff - so that they can withstand the predicted volume of traffic for a sufficient number of years. Current methods of estimating the stiffness are time-consuming and labor-consuming. The most accurate technique is to take a sample from the compacted subgrade or base, bring it to the lab, and measure the mechanical parameters that characterize the corresponding stiffness - this takes days. Another possibility is to measure the road stiffness on-site. There are several different measuring techniques for such measurements, but they are all very labor-intensive and often take days to acquire and process the data. The main idea of intelligent compaction is to measure the road's mechanical properties while the road is being compacted, by placing accelerometers on the rollers and/or geophones (sensors for detecting ground movement) at different depths at several locations. The main challenge that prevents intelligent compaction from being a widely accepted road building technique is that the relation between the mechanical properties of the soil and the resulting accelerations is very complex, it is described by a system of dynamic non-linear partial differential equations. It is therefore desirable to determine the desired characteristic in real time, without the need to solve the corresponding system of partial differential equations. This is the main task that we perform in this study. In the process of implementing this task, we also solve several auxiliary tasks which can be used in a more general data processing setting.

ISBN: 9780438811676Subjects--Topical Terms:

535228
Geophysics.

Back Calculation of Intelligent Compaction Data for Mechanical Properties of Soil System.
LDR:03109nmm a2200337 4500 001 2210658
005 20191121124253.5
008 201008s2018 ||||||||||||||||| ||eng d
020 $a 9780438811676
035 $a (MiAaPQ)AAI13419571
035 $a (MiAaPQ)utep:12808
035 $a AAI13419571
040 $a MiAaPQ $c MiAaPQ
100 1 $a Gholamy, Afshin Gholamy. $3 3437795
245 1 0 $a Back Calculation of Intelligent Compaction Data for Mechanical Properties of Soil System.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2018
300 $a 121 p.
500 $a Source: Dissertations Abstracts International, Volume: 80-08, Section: B.
500 $a Publisher info.: Dissertation/Thesis.
500 $a Advisor: Kreinovich, Vladik;Serpa, Laura.
502 $a Thesis (Ph.D.)--The University of Texas at El Paso, 2018.
506 $a This item must not be sold to any third party vendors.
520 $a For national economy, it is very important to have a reliable infrastructure. Because of this, all over the world, new roads are constantly being built and old roads are being maintained and, if necessary, expanded and/or repaired. Building a good quality road is very expensive, it costs several million dollars per kilometer. It is therefore crucial to make sure that the newly built and newly repaired roads are sufficiently stiff - so that they can withstand the predicted volume of traffic for a sufficient number of years. Current methods of estimating the stiffness are time-consuming and labor-consuming. The most accurate technique is to take a sample from the compacted subgrade or base, bring it to the lab, and measure the mechanical parameters that characterize the corresponding stiffness - this takes days. Another possibility is to measure the road stiffness on-site. There are several different measuring techniques for such measurements, but they are all very labor-intensive and often take days to acquire and process the data. The main idea of intelligent compaction is to measure the road's mechanical properties while the road is being compacted, by placing accelerometers on the rollers and/or geophones (sensors for detecting ground movement) at different depths at several locations. The main challenge that prevents intelligent compaction from being a widely accepted road building technique is that the relation between the mechanical properties of the soil and the resulting accelerations is very complex, it is described by a system of dynamic non-linear partial differential equations. It is therefore desirable to determine the desired characteristic in real time, without the need to solve the corresponding system of partial differential equations. This is the main task that we perform in this study. In the process of implementing this task, we also solve several auxiliary tasks which can be used in a more general data processing setting.
590 $a School code: 0459.
650 4 $a Geophysics. $3 535228
650 4 $a Geophysical engineering. $3 3175813
650 4 $a Civil engineering. $3 860360
690 $a 0373
690 $a 0467
690 $a 0543
710 2 $a The University of Texas at El Paso. $b Geological Sciences. $3 1264129
773 0 $t Dissertations Abstracts International $g 80-08B.
790 $a 0459
791 $a Ph.D.
792 $a 2018
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13419571