東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Linked to FindBook

Google Book

Amazon

博客來

Adaptive Structural Health Monitoring Framework for Bridges Using Vehicle-Carried Sensors.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Adaptive Structural Health Monitoring Framework for Bridges Using Vehicle-Carried Sensors./
Author:	Sadeghi Eshkevari, Soheil.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
Description:	276 p.
Notes:	Source: Dissertations Abstracts International, Volume: 82-04, Section: B.
Contained By:	Dissertations Abstracts International82-04B.
Subject:	Civil engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28148156
ISBN:	9798684656187

Adaptive Structural Health Monitoring Framework for Bridges Using Vehicle-Carried Sensors.
Sadeghi Eshkevari, Soheil.

Adaptive Structural Health Monitoring Framework for Bridges Using Vehicle-Carried Sensors. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 276 p.

Source: Dissertations Abstracts International, Volume: 82-04, Section: B.

Thesis (Ph.D.)--Lehigh University, 2021.

This item is not available from ProQuest Dissertations & Theses.

In order to sustain a smoothly-operating economy, reliable and healthy infrastructure is critical. Civil infrastructure including bridges, roads, buildings, and many more are designed for long time operation with minimal interruption. However, in developed countries, the strong majority of operating structures were built decades ago and have already passed their designated lifespan, while their operation rate has not been discounted but even boosted. This concerning trend is now a global economic challenge that requires drastic financial investments if supposed to be addressed traditionally. The financial burden of such solutions is extremely high so that it has encouraged scientists to distribute resources attentively between monitoring and repairing costs. Structural health monitoring is a collective term for any advanced engineering technique that is able to estimate the existing status of structures given sensory data. By advancements in sensor technology, dense sensor networks have been installed for detailed monitoring of structures. Despite its promising achievements, the method is yet expensive and cannot be upscaled to a large number of structures. Mobile sensing as an alternative paradigm strives to dramatically reduce the sensor setup costs while maintaining the data information as high and dense as possible. The idea of mobile sensing is promising and feasible, yet further developments are required to establish industry-friendly solutions. In this thesis, practical and scalable solutions based on realistic mobile sensing data are developed in order to shrink the gap between theory and applied scenarios.

ISBN: 9798684656187Subjects--Topical Terms:

860360
Civil engineering.
Subjects--Index Terms:

Bridges

Adaptive Structural Health Monitoring Framework for Bridges Using Vehicle-Carried Sensors.
LDR:02940nmm a2200397 4500 001 2342968
005 20220415160106.5
008 241004s2021 ||||||||||||||||| ||eng d
020 $a 9798684656187
035 $a (MiAaPQ)AAI28148156
035 $a AAI28148156
040 $a MiAaPQ $c MiAaPQ
100 1 $a Sadeghi Eshkevari, Soheil. $0 (orcid)0000-0001-9285-6911 $3 3681379
245 1 0 $a Adaptive Structural Health Monitoring Framework for Bridges Using Vehicle-Carried Sensors.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2021
300 $a 276 p.
500 $a Source: Dissertations Abstracts International, Volume: 82-04, Section: B.
500 $a Advisor: Pakzad, Shamim.
502 $a Thesis (Ph.D.)--Lehigh University, 2021.
506 $a This item is not available from ProQuest Dissertations & Theses.
506 $a This item must not be sold to any third party vendors.
520 $a In order to sustain a smoothly-operating economy, reliable and healthy infrastructure is critical. Civil infrastructure including bridges, roads, buildings, and many more are designed for long time operation with minimal interruption. However, in developed countries, the strong majority of operating structures were built decades ago and have already passed their designated lifespan, while their operation rate has not been discounted but even boosted. This concerning trend is now a global economic challenge that requires drastic financial investments if supposed to be addressed traditionally. The financial burden of such solutions is extremely high so that it has encouraged scientists to distribute resources attentively between monitoring and repairing costs. Structural health monitoring is a collective term for any advanced engineering technique that is able to estimate the existing status of structures given sensory data. By advancements in sensor technology, dense sensor networks have been installed for detailed monitoring of structures. Despite its promising achievements, the method is yet expensive and cannot be upscaled to a large number of structures. Mobile sensing as an alternative paradigm strives to dramatically reduce the sensor setup costs while maintaining the data information as high and dense as possible. The idea of mobile sensing is promising and feasible, yet further developments are required to establish industry-friendly solutions. In this thesis, practical and scalable solutions based on realistic mobile sensing data are developed in order to shrink the gap between theory and applied scenarios.
590 $a School code: 0105.
650 4 $a Civil engineering. $3 860360
650 4 $a Automotive engineering. $3 2181195
650 4 $a Mechanical engineering. $3 649730
653 $a Bridges
653 $a Machine Learning
653 $a Noise and Vibrations
653 $a Signal Processing
653 $a Structural Health Monitoring
653 $a System Identification
690 $a 0543
690 $a 0548
690 $a 0540
710 2 $a Lehigh University. $b Civil Engineering. $3 1671694
773 0 $t Dissertations Abstracts International $g 82-04B.
790 $a 0105
791 $a Ph.D.
792 $a 2021
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28148156