國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Application of Vehicle-based Sensors...

Northern Arizona University.

Application of Vehicle-based Sensors Assessing Highway Pavement Conditions Subject to Extreme Temperature Variation.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Application of Vehicle-based Sensors Assessing Highway Pavement Conditions Subject to Extreme Temperature Variation.
作者:	Snyder, Matthew C.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, 2018
面頁冊數:	59 p.
附註:	Source: Masters Abstracts International, Volume: 57-06.
附註:	Adviser: Chun-Hsing Ho.
Contained By:	Masters Abstracts International57-06(E).
標題:	Civil engineering.
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10817644
ISBN:	9780438015593

Application of Vehicle-based Sensors Assessing Highway Pavement Conditions Subject to Extreme Temperature Variation.
Snyder, Matthew C.

Application of Vehicle-based Sensors Assessing Highway Pavement Conditions Subject to Extreme Temperature Variation. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 59 p.

Source: Masters Abstracts International, Volume: 57-06.

Thesis (M.S.)--Northern Arizona University, 2018.

The technique of using vibration sensors to monitor pavement roughness has been expanding in pavement engineering. The primary objective of this study is to implement cost-effective vibration sensors to predict asphalt roughness and identify critical cracking locations. It has been an increasing discussion in industry whether temperature changes due to climate change will have considerable influence on infrastructure resilience and sustainability. The method presented here uses vehicle-based sensors to assess pavement roughness during extreme hot and cold temperatures in Phoenix, AZ. This project consisted of developing vehicle-based accelerometers and taking monthly road surveys for a year. Five sensors were mounted to a vehicle, four on the tires and one inside the car, as well a sixth smartphone sensor inside the car. This project covers collecting data at pavement temperatures from 40°F--150°F. The analysis consists of converting accelerometer data into international roughness index values using Fourier transforms and using statistical analysis to verify a relationship between pavement temperature and accelerometer vibration. The results show that hot asphalt concrete temperatures increase the amount of observable accelerometer vibration from a vehicle. Sensors mounted near the tires showed to be more reliable than sensors inside the vehicle. This project demonstrates that accelerometer sensing technology is a cost-effective way to advance the day-to-day operations in highway pavement maintenance and management.

ISBN: 9780438015593Subjects--Topical Terms:

195981
Civil engineering.

Application of Vehicle-based Sensors Assessing Highway Pavement Conditions Subject to Extreme Temperature Variation.
LDR:02486nmm a2200289 4500 001 547588
005 20190513114557.5
008 190715s2018 ||||||||||||||||| ||eng d
020 $a 9780438015593
035 $a (MiAaPQ)AAI10817644
035 $a (MiAaPQ)nau:11500
035 $a AAI10817644
040 $a MiAaPQ $c MiAaPQ
100 1 $a Snyder, Matthew C. $3 826920
245 1 0 $a Application of Vehicle-based Sensors Assessing Highway Pavement Conditions Subject to Extreme Temperature Variation.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2018
300 $a 59 p.
500 $a Source: Masters Abstracts International, Volume: 57-06.
500 $a Adviser: Chun-Hsing Ho.
502 $a Thesis (M.S.)--Northern Arizona University, 2018.
520 $a The technique of using vibration sensors to monitor pavement roughness has been expanding in pavement engineering. The primary objective of this study is to implement cost-effective vibration sensors to predict asphalt roughness and identify critical cracking locations. It has been an increasing discussion in industry whether temperature changes due to climate change will have considerable influence on infrastructure resilience and sustainability. The method presented here uses vehicle-based sensors to assess pavement roughness during extreme hot and cold temperatures in Phoenix, AZ. This project consisted of developing vehicle-based accelerometers and taking monthly road surveys for a year. Five sensors were mounted to a vehicle, four on the tires and one inside the car, as well a sixth smartphone sensor inside the car. This project covers collecting data at pavement temperatures from 40°F--150°F. The analysis consists of converting accelerometer data into international roughness index values using Fourier transforms and using statistical analysis to verify a relationship between pavement temperature and accelerometer vibration. The results show that hot asphalt concrete temperatures increase the amount of observable accelerometer vibration from a vehicle. Sensors mounted near the tires showed to be more reliable than sensors inside the vehicle. This project demonstrates that accelerometer sensing technology is a cost-effective way to advance the day-to-day operations in highway pavement maintenance and management.
590 $a School code: 0391.
650 4 $a Civil engineering. $3 195981
690 $a 0543
710 2 $a Northern Arizona University. $b Civil Engineering, Construction Management, and Environmental Engineering. $3 826921
773 0 $t Masters Abstracts International $g 57-06(E).
790 $a 0391
791 $a M.S.
792 $a 2018
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10817644