<?xml version="1.0" encoding="UTF-8"?>
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<title>Journal of Performance of Constructed Facilities</title>
<link href="http://yetl.yabesh.ir/yetl1/handle/yetl/19007" rel="alternate"/>
<subtitle/>
<id>http://yetl.yabesh.ir/yetl1/handle/yetl/19007</id>
<updated>2026-08-23T23:49:58Z</updated>
<dc:date>2026-08-23T23:49:58Z</dc:date>
<entry>
<title>Improving Bridge Inspection Performance with an Efficient UAV-Based Automated Defect Detection System</title>
<link href="http://yetl.yabesh.ir/yetl1/handle/yetl/4312966" rel="alternate"/>
<author>
<name>Chen, AiHua</name>
</author>
<author>
<name>Chen, Wei</name>
</author>
<author>
<name>He, Xing</name>
</author>
<author>
<name>Zhong, Jianfeng</name>
</author>
<id>http://yetl.yabesh.ir/yetl1/handle/yetl/4312966</id>
<updated>2026-08-20T12:00:31Z</updated>
<published>2026-01-01T00:00:00Z</published>
<summary type="text">Improving Bridge Inspection Performance with an Efficient UAV-Based Automated Defect Detection System
Chen, AiHua; Chen, Wei; He, Xing; Zhong, Jianfeng
AbstractTraditional bridge inspections are often characterized by low efficiency, high costs,
and notable safety risks. To address these challenges, this paper presents an integrated
unmanned aerial vehicle (UAV)-based system for automated defect ...Practical ApplicationsThis unmanned aerial vehicle (UAV)-based inspection system offers direct operational
benefits to bridge maintenance agencies. By integrating the proposed detection model
with a low-cost UAV platform (total hardware cost under $1,500),...
</summary>
<dc:date>2026-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>In-Depth Evaluation of Novel Condition Assessment Techniques for FRP-Strengthened Concrete Structures</title>
<link href="http://yetl.yabesh.ir/yetl1/handle/yetl/4312965" rel="alternate"/>
<author>
<name>Fowai, Issa</name>
</author>
<author>
<name>Lopes, Bruno</name>
</author>
<author>
<name>Benedet, Mauro</name>
</author>
<author>
<name>Willemann, Daniel</name>
</author>
<author>
<name>Ferreira, Cintia</name>
</author>
<author>
<name>Lopes, Ricardo</name>
</author>
<author>
<name>Araujo, Olga</name>
</author>
<author>
<name>Pereira, Gabriela</name>
</author>
<author>
<name>Camerini, Cesar</name>
</author>
<author>
<name>Lima, Marcella</name>
</author>
<author>
<name>Noël, Martin</name>
</author>
<author>
<name>Cardoso, Daniel</name>
</author>
<id>http://yetl.yabesh.ir/yetl1/handle/yetl/4312965</id>
<updated>2026-08-20T12:00:28Z</updated>
<published>2026-01-01T00:00:00Z</published>
<summary type="text">In-Depth Evaluation of Novel Condition Assessment Techniques for FRP-Strengthened Concrete Structures
Fowai, Issa; Lopes, Bruno; Benedet, Mauro; Willemann, Daniel; Ferreira, Cintia; Lopes, Ricardo; Araujo, Olga; Pereira, Gabriela; Camerini, Cesar; Lima, Marcella; Noël, Martin; Cardoso, Daniel
AbstractUsing fiber-reinforced polymer (FRP) composite materials to externally retrofit civil
infrastructure is a viable long-term rehabilitation technique. However, ensuring the
structural integrity and performance of the bond line between the composite ...
</summary>
<dc:date>2026-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>A Threat and Vulnerability Risk Assessment Framework for Human-Induced Threats to Bridges over Navigable Waterways</title>
<link href="http://yetl.yabesh.ir/yetl1/handle/yetl/4312964" rel="alternate"/>
<author>
<name>Rababah, Ahmad</name>
</author>
<author>
<name>Avci, Onur</name>
</author>
<author>
<name>Pyrialakou, Dimitra</name>
</author>
<author>
<name>Bryce, James</name>
</author>
<id>http://yetl.yabesh.ir/yetl1/handle/yetl/4312964</id>
<updated>2026-08-20T12:00:26Z</updated>
<published>2026-01-01T00:00:00Z</published>
<summary type="text">A Threat and Vulnerability Risk Assessment Framework for Human-Induced Threats to Bridges over Navigable Waterways
Rababah, Ahmad; Avci, Onur; Pyrialakou, Dimitra; Bryce, James
AbstractStructural infrastructure plays a crucial role in contemporary urban environments
by supporting essential public and commercial functions. As both newly developed and
aging infrastructure systems expand, the need for effective monitoring and ...
</summary>
<dc:date>2026-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>A Mix Transformer–Enhanced UNet for Concrete Building Surface Defect Semantic Segmentation</title>
<link href="http://yetl.yabesh.ir/yetl1/handle/yetl/4312963" rel="alternate"/>
<author>
<name>Liao, Yanna</name>
</author>
<author>
<name>Tong, Xinyu</name>
</author>
<author>
<name>Yin, Yafang</name>
</author>
<id>http://yetl.yabesh.ir/yetl1/handle/yetl/4312963</id>
<updated>2026-08-20T12:00:24Z</updated>
<published>2026-01-01T00:00:00Z</published>
<summary type="text">A Mix Transformer–Enhanced UNet for Concrete Building Surface Defect Semantic Segmentation
Liao, Yanna; Tong, Xinyu; Yin, Yafang
AbstractThis study proposes mix transformer-enhanced UNet (MiTE-UNet), an improved UNet architecture
based on a hybrid convolutional neural network (CNN)–transformer framework, for concrete
building surface defect segmentation. The proposed model is ...Practical ApplicationsConcrete buildings such as bridges and tunnels often develop surface defects over
time, and, if not detected early, these issues may worsen and pose safety risks. Traditional
manual inspections are slow and labor-intensive and often ...
</summary>
<dc:date>2026-01-01T00:00:00Z</dc:date>
</entry>
</feed>
