عنوان
پدید آورنده
موضوع
رده
کتابخانه
محل استقرار
NATIONAL BIBLIOGRAPHY NUMBER
Number
TLpq2491189765
LANGUAGE OF THE ITEM
.Language of Text, Soundtrack etc
انگلیسی
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
A Data-Driven Forecasting Approach for Optimal Bridge Inspection
General Material Designation
[Thesis]
First Statement of Responsibility
Pawar, Bhushan A.
Subsequent Statement of Responsibility
Ilbeigi, Mohammad
.PUBLICATION, DISTRIBUTION, ETC
Name of Publisher, Distributor, etc.
Stevens Institute of Technology
Date of Publication, Distribution, etc.
2020
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
45
DISSERTATION (THESIS) NOTE
Dissertation or thesis details and type of degree
Master's
Body granting the degree
Stevens Institute of Technology
Text preceding or following the note
2020
SUMMARY OR ABSTRACT
Text of Note
The US Department of Transportation and Federal Highway Administration require routine inspections to monitor bridge deterioration. Typically, bridge inspections are conducted every 24 months. This time frame was determined solely based on engineering judgement. The objective of this study is to answer the following four questions: 1.
TOPICAL NAME USED AS SUBJECT
Civil engineering
Industrial engineering
Information science
Management
Materials science
PERSONAL NAME - PRIMARY RESPONSIBILITY
Ilbeigi, Mohammad
Pawar, Bhushan A.
ELECTRONIC LOCATION AND ACCESS
Electronic name
مطالعه متن کتاب p
[Thesis]
276903
a
Y
