3D conditional random fields simulation for rockfill compaction quality assessment with sparse EVD measurement
The compaction quality of rockfill materials plays a pivotal role in ensuring the stability and durability of runway structures. However, traditional assessment methods relying on limited random sampling may lack representativeness for the entire construction site and overlook potential areas of ins...
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Format: | Article |
Language: | English |
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Elsevier
2024-03-01
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Series: | Results in Engineering |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S259012302300837X |
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author | Lu Zhao Lili Cheng Cheng Zhou Lieyun Ding Fan Wang |
author_facet | Lu Zhao Lili Cheng Cheng Zhou Lieyun Ding Fan Wang |
author_sort | Lu Zhao |
collection | DOAJ |
description | The compaction quality of rockfill materials plays a pivotal role in ensuring the stability and durability of runway structures. However, traditional assessment methods relying on limited random sampling may lack representativeness for the entire construction site and overlook potential areas of insufficient compaction. Addressing this challenge, this paper employs the dynamic deformation modulus (EVD), a rapid and nondestructive testing method, to assess the compaction quality of runway rockfill. Subsequently, this paper propose a 3D Conditional Random Field (CRF) model based on EVD to simulate the uncertain spatial distribution of rockfill compaction quality, allowing for the estimation of the overall construction area's compaction quality with a limited number of sample points. The validity of the model is demonstrated through a case study involving a runway expansion project. Additionally, three critical construction factors--namely, measurement points, compaction passes, and compaction materials--are analyzed throughout the construction process. This analysis provides managers with valuable insights and decision-making tools to promptly evaluate the quality of compaction areas, ensuring the stability and durability of the runway. |
first_indexed | 2024-03-08T18:18:35Z |
format | Article |
id | doaj.art-6cca0b16ed7241b5b82b2dd8526af8e5 |
institution | Directory Open Access Journal |
issn | 2590-1230 |
language | English |
last_indexed | 2024-04-24T20:03:32Z |
publishDate | 2024-03-01 |
publisher | Elsevier |
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series | Results in Engineering |
spelling | doaj.art-6cca0b16ed7241b5b82b2dd8526af8e52024-03-24T07:00:19ZengElsevierResults in Engineering2590-12302024-03-01211017103D conditional random fields simulation for rockfill compaction quality assessment with sparse EVD measurementLu Zhao0Lili Cheng1Cheng Zhou2Lieyun Ding3Fan Wang4CCCC Wuhan Zhi Xing International Engineering Consulting Company Limited, ChinaCCCC Wuhan Zhi Xing International Engineering Consulting Company Limited, ChinaNational Center of Technology Innovation for Digital Construction, Huazhong University of Science and Technology, 430074, Wuhan, China; School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, 430074, Wuhan, China; Corresponding author. National Center of Technology Innovation for Digital Construction, Huazhong University of Science and Technology, 430074, Wuhan, China.National Center of Technology Innovation for Digital Construction, Huazhong University of Science and Technology, 430074, Wuhan, China; School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, 430074, Wuhan, ChinaNational Center of Technology Innovation for Digital Construction, Huazhong University of Science and Technology, 430074, Wuhan, China; School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, 430074, Wuhan, ChinaThe compaction quality of rockfill materials plays a pivotal role in ensuring the stability and durability of runway structures. However, traditional assessment methods relying on limited random sampling may lack representativeness for the entire construction site and overlook potential areas of insufficient compaction. Addressing this challenge, this paper employs the dynamic deformation modulus (EVD), a rapid and nondestructive testing method, to assess the compaction quality of runway rockfill. Subsequently, this paper propose a 3D Conditional Random Field (CRF) model based on EVD to simulate the uncertain spatial distribution of rockfill compaction quality, allowing for the estimation of the overall construction area's compaction quality with a limited number of sample points. The validity of the model is demonstrated through a case study involving a runway expansion project. Additionally, three critical construction factors--namely, measurement points, compaction passes, and compaction materials--are analyzed throughout the construction process. This analysis provides managers with valuable insights and decision-making tools to promptly evaluate the quality of compaction areas, ensuring the stability and durability of the runway.http://www.sciencedirect.com/science/article/pii/S259012302300837XRunwayCompaction quality assessmentEVDSpatial distributionConditional random fields |
spellingShingle | Lu Zhao Lili Cheng Cheng Zhou Lieyun Ding Fan Wang 3D conditional random fields simulation for rockfill compaction quality assessment with sparse EVD measurement Results in Engineering Runway Compaction quality assessment EVD Spatial distribution Conditional random fields |
title | 3D conditional random fields simulation for rockfill compaction quality assessment with sparse EVD measurement |
title_full | 3D conditional random fields simulation for rockfill compaction quality assessment with sparse EVD measurement |
title_fullStr | 3D conditional random fields simulation for rockfill compaction quality assessment with sparse EVD measurement |
title_full_unstemmed | 3D conditional random fields simulation for rockfill compaction quality assessment with sparse EVD measurement |
title_short | 3D conditional random fields simulation for rockfill compaction quality assessment with sparse EVD measurement |
title_sort | 3d conditional random fields simulation for rockfill compaction quality assessment with sparse evd measurement |
topic | Runway Compaction quality assessment EVD Spatial distribution Conditional random fields |
url | http://www.sciencedirect.com/science/article/pii/S259012302300837X |
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