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英文翻译-main

英文翻译-main

A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure q

Christian Koch a ,⇑,Kristina Georgieva b ,Varun Kasireddy c ,Burcu Akinci c ,Paul Fieguth d

a

Dept.of Civil Engineering,University of Nottingham,Nottingham,NG72RD,United Kingdom

b

Chair of Computing in Engineering,Ruhr-Universität Bochum,Universitätstraße 150,44801Bochum,Germany c

Dept.of Civil and Environmental Engineering,Carnegie Mellon University,Pittsburgh,PA 15213,United States d

Dept.of Systems Design Engineering,Faculty of Engineering,University of Waterloo,Waterloo,Ontario N2L 3G1,Canada

a r t i c l e i n f o Article history:

Received 22September 2014

Received in revised form 17December 2014Accepted 22January 2015Available online xxxx Keywords:

Computer vision Infrastructure

Condition assessment Defect detection

Infrastructure monitoring

a b s t r a c t

To ensure the safety and the serviceability of civil infrastructure it is essential to visually inspect and assess its physical and functional condition.This review paper presents the current state of practice of assessing the visual condition of vertical and horizontal civil infrastructure;in particular of reinforced concrete bridges,precast concrete tunnels,underground concrete pipes,and asphalt pavements.Since the rate of creation and deployment of computer vision methods for civil engineering applications has been exponentially increasing,the main part of the paper presents a comprehensive synthesis of the state of the art in computer vision based defect detection and condition assessment related to concrete and asphalt civil infrastructure.Finally,the current achievements and limitations of existing methods as well as open research challenges are outlined to assist both the civil engineering and the computer science research community in setting an agenda for future research.

Ó2015Elsevier Ltd.All rights reserved.

1.Introduction

Manual visual inspection is currently the main form of assess-ing the physical and functional conditions of civil infrastructure at regular intervals in order to ensure the infrastructure still meets its expected service requirements.However,there are still a num-ber of accidents that are related to insufficient inspection and con-dition assessment.For example,as a result of the collapse of the I-35W Highway Bridge in Minneapolis (Minnesota,USA)in 200713people died,and 145people were injured [1].In the final accident report the National Transportation Safety Board identified major safety issues including,besides others,the lack of inspection guid-ance for conditions of gusset plate distortion;and inadequate use of technologies for accurately assessing the condition of gusset plates on deck truss bridges.A different,less tragic example is the accident of a freight train in the Rebunhama Tunnel in Japan in 1999that resulted in people losing the trust in the safety and durability of tunnels.According to [2],the failure to detect shear

cracks had resulted in five pieces of concrete blocks,as large as sev-eral tens of centimeters,which had fallen onto the track causing the train to derail.

In order to prevent these kinds of accidents it is essential to con-tinuously inspect and assess the physical and functional condition of civil infrastructure to ensure its safety and serviceability.Typically,condition assessment procedures are performed manually by certified inspectors and/or structural engineers,either at regular intervals (routine inspection)or after disasters (post-dis-aster inspection).This process includes the detection of the defects and damage (cracking,spalling,defective joints,corrosion,pot-holes,etc.)existing on civil infrastructure elements,such as build-ings,bridges,tunnels,pipes and roads,and the defects’magnitude (number,width,length,etc.).The visual inspection and assessment results help agencies to predict future conditions,to support investment planning,and to allocate limited maintenance and repair resources,and thus ensure the civil infrastructure still meets its service requirements.

This review paper starts with the description of the current practices of assessing the visual condition of vertical and horizon-tal civil infrastructure,in particular of reinforced concrete bridges (horizontal:decks,girders,vertical:columns),precast concrete tunnels (horizontal:segmental lining),underground concrete pipes (horizontal)(wastewater infrastructure),and asphalt pave-ments (horizontal).In order to motivate the potential of computer

http://www.wendangku.net/doc/e96e49c5783e0912a2162aec.html/10.1016/j.aei.2015.01.008

1474-0346/Ó2015Elsevier Ltd.All rights reserved.

q

Handled by W.O.O’Brien

⇑Corresponding author at:The University of Nottingham,Faculty of Engineering,

Department of Civil Engineering,Room B27Coates Building,University Park,Nottingham NG72RD,UK.Tel.:+44(0)1158468933.

E-mail address:christian.koch@http://www.wendangku.net/doc/e96e49c5783e0912a2162aec.html (C.Koch).URL:http://www.wendangku.net/doc/e96e49c5783e0912a2162aec.html/civeng (C.Koch).

Please cite this article in press as:C.Koch et al.,A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure,http://www.wendangku.net/doc/e96e49c5783e0912a2162aec.htmlrmat.(2015),http://www.wendangku.net/doc/e96e49c5783e0912a2162aec.html/10.1016/j.aei.2015.01.008