Drone-enabled bridge inspection methodology and application

التفاصيل البيبلوغرافية
العنوان: Drone-enabled bridge inspection methodology and application
المؤلفون: Junwon Seo, Luis Duque, Jim Wacker
المصدر: Automation in Construction. 94:112-126
بيانات النشر: Elsevier BV, 2018.
سنة النشر: 2018
مصطلحات موضوعية: Engineering, business.industry, 0211 other engineering and technologies, 020101 civil engineering, 02 engineering and technology, Building and Construction, Bridge inspection, Drone, Bridge (nautical), Construction engineering, Field (computer science), 0201 civil engineering, Deck, Identification (information), Data acquisition, Control and Systems Engineering, Girder, 021105 building & construction, business, Civil and Structural Engineering
الوصف: The field of Civil Engineering has lately gained increasing interest in Unmanned Aerial Vehicles (UAV), commonly referred to as drones. Due to an increase of deteriorating bridges according to the report released by the American Society of Civil Engineers (ASCE), a more efficient and cost-effective alternative for bridge inspection is required. The goal of this paper was to analyze the effectiveness of drones as supplemental bridge inspection tools. In pursuit of this goal, the selected bridge for inspection was a three-span glued-laminated timber girder with a composite concrete deck located near the city of Keystone in the state of South Dakota (SD). A drone, a Da-Jiāng Innovations (DJI) Phantom 4, was utilized for this study. Also, an extensive literature review to gain knowledge on current bridge inspection techniques using drones was conducted. The findings from the literature review served as the basis for the development of a five-stage drone-enabled bridge inspection methodology. A field inspection utilizing the drone was performed following the stages of the methodology, and the findings were compared to current historical inspection reports provided by the SD Department of Transportation (SDDOT). Quantified data using the drone such as a spalled area of 0.18 m2, which is identical to the measurement provided by the SDDOT (0.3 m by 0.6 m), demonstrated the efficiency of the drone to inspect the bridge. This study detailed drone-enabled inspection principles and relevant considerations to obtain optimum data acquisition. The field investigation of the bridge demonstrated the image quality and damage identification capabilities of the drone to perform bridge inspection at a lower cost when compared to traditional methods.
تدمد: 0926-5805
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::69292d33e505f0219781cfaca794cd6a
https://doi.org/10.1016/j.autcon.2018.06.006
حقوق: CLOSED
رقم الأكسشن: edsair.doi...........69292d33e505f0219781cfaca794cd6a
قاعدة البيانات: OpenAIRE