Article
Construction & Building Technology
Anh Thu Thi Phan, Thi Ngoc Huynh
Summary: This study achieves automatic detection of cracks in the road surface by using a laser scanner to observe and generate point clouds, extracting the road surface based on geometry and normal vectors, and extracting cracks and distress areas based on intensity gradient and inclination angle. Clear cracks and distress areas are obtained.
ADVANCES IN CIVIL ENGINEERING
(2022)
Review
Construction & Building Technology
Lu Lu, Deying Zhao, Jizhou Fan, Guoqiang Li
Summary: Pavement is crucial in modern society and requires proper sealant to prevent water penetration and premature structural failure. This paper reviewed various types of sealants for cement concrete pavement and discussed new developments such as shape memory polymers used as sealants, concluding with future perspectives.
ROAD MATERIALS AND PAVEMENT DESIGN
(2022)
Article
Mechanics
Mikel Escalero, Miguel Muniz-Calvente, Haritz Zabala, Iker Urresti
Summary: Extensive literature suggests that fatigue cracks tend to reach a stable stage with a quasi-constant crack shape under the influence of an iso crack driving force (CDF) distribution. This study investigates fatigue crack growth using a finite element simulation approach and a theoretical analysis. The results contradict previous findings and demonstrate that naturally growing fatigue cracks converge towards a quasi-constant crack-shape regime, influenced by a non-iso CDF distribution dependent on material properties and the stable crack shape.
ENGINEERING FRACTURE MECHANICS
(2023)
Article
Mechanics
Lixia Pan, Julian Carrillo, Maosen Cao, Ganggang Sha
Summary: This study introduces the use of multifractal analysis (MUTFA) to characterize the distribution and evolution of cracks in reinforced concrete (RC) structures, and proposes a new multifractal-spectrum shape parameter. The results demonstrate that this method can effectively reveal the complexity and irregularity of crack distributions, which helps in assessing damage in concrete structures.
ENGINEERING FRACTURE MECHANICS
(2022)
Article
Forestry
Cornelis Stal, Jeffrey Verbeurgt, Lars De Sloover, Alain De Wulf
Summary: Sustainable forest management depends on accurate estimation of tree parameters, particularly the DBH for volume and mass extraction. This study showed that HMTLS is a useful alternative technique for precisely and efficiently calculating DBH, with comparable parameters to STLS and ALS data sets but significantly reduced acquisition time.
JOURNAL OF FORESTRY RESEARCH
(2021)
Article
Computer Science, Hardware & Architecture
Jongwoo Ha, Dongsoo Kim, Minsoo Kim
Summary: This study proposed a system that can automatically detect, classify, and assess the severity of road cracks by expanding the number of crack types and including crack severity assessment, achieving an accuracy of 91.2% for both crack type and severity assessment.
JOURNAL OF SUPERCOMPUTING
(2022)
Article
Chemistry, Multidisciplinary
Nan Yang, Yongshang Li, Ronggui Ma
Summary: This study addresses the problem of efficiently detecting cracks and sealed cracks in asphalt pavements through the use of deep learning. It creates a dataset, develops crack annotation methods, and conducts experiments to achieve efficient and accurate crack detection.
APPLIED SCIENCES-BASEL
(2022)
Article
Construction & Building Technology
Mert Oytun, Guzide Atasoy
Summary: This study investigates the measurement accuracy of TLS in crack analysis for different building materials and proposes boundary ranges for different scan settings. The findings provide practical contributions to the use of TLS for crack identification.
AUTOMATION IN CONSTRUCTION
(2022)
Article
Environmental Sciences
Xuan Lin, Jian Zhang, Daifeng Wu, Enhong Meng, Maoyi Liu, Meng Li, Fuliu Gao
Summary: The identification of pavement cracks is crucial for road safety, but manual detection is time-consuming. An automated technology is needed, however, automatic crack recognition is challenging due to crack intensity heterogeneity and complex backdrops. To address this, a new network architecture called PSA-Net is proposed, which combines feature pyramid and attention mechanism. The effectiveness of the proposed technique is verified using a dataset of real road cracks and compared with different crack detection methods.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2023)
Article
Engineering, Multidisciplinary
Siqi Wang, Zhen Leng, Xin Sui
Summary: This study investigates the detectability of concealed cracks in asphalt pavement using the air-coupled GPR. An edge detection-based method is proposed to enhance the reflections from the concealed cracks. The proposed method is automatic and robust at low spatial sampling rate, which may allow traffic-speed survey and increases the signal-to-noise ratio.
Article
Engineering, Multidisciplinary
M. Kachanov, I. Argatov
Summary: This study first introduces the cross-property connection between the effective elastic and conductive properties of a solid with cracks. The irregular shapes of cracks and the shapes of 3D cracks make it difficult to estimate the effect of cracks on the elastic properties. The research shows that flat cracks of arbitrary shapes and orientation distributions have similar effects on the elastic and conductive properties.
INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE
(2023)
Article
Multidisciplinary Sciences
Zhihan Lv, Chen Cheng, Haibin Lv
Summary: This study aims to improve the efficiency of automatic identification of pavement distress and address the challenges in identifying and detecting pavement distress. It analyzes the identification method and types of pavement distress, describes the design concept of deep learning in pavement distress recognition, and applies the Mask R-CNN model in road crack distress recognition. The results show high accuracy in the model's recognition performance and different crack detection methods, providing valuable insights for the application of deep CNNs in pavement distress recognition and contributing to the improvement of road traffic conditions for smart cities in the future.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
(2023)
Article
Chemistry, Analytical
Ki Chang Kang, Kwan Kyu Park
Summary: The proposed method is a noncontact, non-immersion ultrasonic inspection method using a pulsed laser and a hydrophone, with a polydimethylsiloxane layer to prevent water contact impact on samples, capable of distinguishing cracks in samples and increasing image contrast ratio.
Article
Chemistry, Multidisciplinary
Pang-jo Chun, Tatsuro Yamane, Yukino Tsuzuki
Summary: The technology uses a convolutional neural network to automatically detect and evaluate cracks in pavement images, improving accuracy through retraining with previously misanalyzed images, with experiments confirming high system performance.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Civil
Yun Que, Yi Dai, Xue Ji, Anthony Kwan Leung, Zheng Chen, Zhenliang Jiang, Yunchao Tang
Summary: Crack development has become more severe in recent years, leading to pavement damage under extreme weather events. Most existing crack classification algorithms require manual extraction of image features, which is labor-intensive and compromises accuracy and efficiency. This study proposes a GAN-based method for data augmentation and a modified VGG model for crack classification, demonstrating improved accuracy and efficiency compared to traditional methods.
ENGINEERING STRUCTURES
(2023)
Article
Environmental Sciences
Jun Wang, Xiaomei Yang, Zhihua Wang, Dazhuan Ge, Junmei Kang
Summary: Offshore marine aquaculture not only provides a large amount of high-quality food and relieves pressure on land, but also faces challenges in reflecting spatial dynamics and effectively managing spatial development. This study used satellite remote sensing and GIS technology to analyze and evaluate the spatial distribution of marine aquaculture in Shandong Province, and found that marine functional zoning can play a guiding role while port areas and protection areas are also important for aquaculture expansion.
Article
Environmental Sciences
Xiaoliang Liu, Xiaomei Yang, Tao Zhang, Zhihua Wang, Junyao Zhang, Yueming Liu, Bin Liu
Summary: This study evaluated the conservation effectiveness of mangrove reserves in China and found that 43% of the reserves significantly improved the landscape health status of mangroves, while 35% of the reserves maintained good condition. The reserves in Guangxi, Guangdong, and Fujian Provinces showed more significant protective effects.
Article
Environmental Sciences
Junmei Kang, Xiaomei Yang, Zhihua Wang, Chong Huang, Jun Wang
Summary: High-precision spatial mapping of paddy planting areas using collaborative multi-source remote sensing product information, especially in tropical regions like Southeast Asia, is lacking. This study developed an extraction scheme based on the Google Earth Engine platform and achieved the highest accuracy of 89.90% for the paddy planting areas in Cambodia. The proposed method outperformed other products in terms of the outline and road information description of the paddy planting areas.
Article
Environmental Sciences
Ku Gao, Xiaomei Yang, Zhihua Wang, Huifang Zhang, Chong Huang, Xiaowei Zeng
Summary: This study provides a comprehensive evaluation of the sustainable development level of the Guangdong-Hong Kong-Macao Greater Bay Area using high-resolution remote sensing data and population/GDP data. The results show significant differences in spatial sustainable development at different scales and suggest that the division of production-living-ecological spaces can guide future urban space optimization.
Article
Green & Sustainable Science & Technology
Junmei Kang, Zhihua Wang, Hongbin Cheng, Jun Wang, Xiaoliang Liu
Summary: Earthquakes and their secondary geological disasters have a certain impact on land use. Studying the spatial-temporal evolution characteristics of land use can provide reference for ecological environment monitoring and management in earthquake-stricken regions, as well as contribute to long-term ecological restoration planning.
Article
Environmental Sciences
Yaxin Ding, Xiaomei Yang, Zhihua Wang, Dongjie Fu, He Li, Dan Meng, Xiaowei Zeng, Junyao Zhang
Summary: Comparing three 10 m resolution global land cover products (FROM-GLC10, ESRI2020, and ESA2020) in terms of accuracy is crucial for studying global and regional environment protection, sustainable development, and optimizing mapping methods. However, previous validations have lacked field collection points in large regions like Southeast Asia, posing challenges in land cover mapping.
Article
Engineering, Marine
Dan Meng, Yueming Liu, Zhihua Wang, Xiaomei Yang, Xiaoliang Liu, Junyao Zhang, Ku Gao
Summary: From 2000 to 2020, there were 397 storm surge occurrences in China, causing direct economic losses of up to CNY 220.64 billion. Evaluating vulnerability in 15 coastal cities over the past 30 years, it was found that vulnerability decreased continuously from 1990 to 2020, with the highest average reduction rate from 2005 to 2015 at 2.23%. The areas of high vulnerability shifted from the southern region to the northern region, and cities in the southern region, such as Shanghai, Shenzhen, and Dongguan, experienced significant decreases in vulnerability.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Environmental Sciences
Fengshuo Yang, Xiaomei Yang, Zhihua Wang, Yingjun Sun, Yinghui Zhang, Huaqiao Xing, Qi Wang
Summary: High-intensity human activities have caused significant changes in land function in China's coastal zone, posing a great threat to the region's ecological environment. This study quantitatively analyzed the spatiotemporal evolution of production-living-ecological land (PLEL) and its eco-environmental response using various land-use analysis methods in the coastal zone. The findings revealed a decrease in production land (PL), but an increase in living land (LL) and blue ecological land (BEL) over the past 20 years. The eco-environmental quality of the coastal zone slightly degraded from 2000 to 2020, with better conditions in the south compared to the north.
Article
Green & Sustainable Science & Technology
Xiaowei Zeng, Xiaomei Yang, Shuai Zhong, Zhihua Wang, Yaxin Ding, Dan Meng, Ku Gao
Summary: Country-level resource and environmental carrying capacity (RECC) assessments can reveal countries' progress towards sustainability goals. This study used the Analytic Hierarchy Process to evaluate RECC in 11 Southeast Asian countries from 1990 to 2020. The results showed trends of increasing and then decreasing RECC per capita, with lower levels in the east and north and higher levels in the west and south. Absolute total RECC showed a slow increase with some exceptions. The study recommends controlling population size and adhering to a green economic growth model to mitigate declining RECC.
Article
Environmental Sciences
Xiaoliang Liu, Yueming Liu, Zhihua Wang, Xiaomei Yang, Xiaowei Zeng, Dan Meng
Summary: China suffers severe damage from storm surges, making it critical to assess the vulnerability of coastal areas. This study developed a vulnerability index and comprehensively evaluated Chinese coastal areas using a weight combination strategy. The results show that a majority of coastal cities are highly vulnerable, with Guangxi and Hainan Provinces facing the highest vulnerability levels. Spatial heterogeneity of vulnerability is also observed, with different clusters identified in different regions. These findings provide valuable insights for disaster reduction policies and actions at various levels.
Article
Environmental Sciences
Bin Liu, Xiaomei Yang, Zhihua Wang, Yaxin Ding, Junyao Zhang, Dan Meng
Summary: This research assessed the consistency and accuracy of six forest mapping products in Southeast Asia. The results showed variations in accuracy among different products and highlighted the importance of geographical factors and human activities in maintaining consistency. Based on the findings, the study recommends selecting appropriate products for different regions and suggests incorporating multi-source data, subdividing forest types, and increasing sample points to improve the accuracy of forest mapping.
Article
Environmental Sciences
Yaru Meng, Jiajun Zhang, Xiaomei Yang, Zhihua Wang
Summary: Most aquaculture pond research focuses on coastal areas, neglecting inland regions. This study introduces an intelligent extraction method to monitor aquaculture ponds in the Yangtze River Economic Belt using satellite data. The findings reveal a significant increase in aquaculture ponds and highlight the importance of understanding the environmental impacts of inland aquaculture.
Article
Environmental Studies
Qingyang Zhang, Xinyan Cai, Xiaoliang Liu, Xiaomei Yang, Zhihua Wang
Summary: Urbanization has negative effects on the ecological environment of urban agglomerations, including the reduction of forest area and fragmentation of landscape indices. The development of urbanization in the Greater Bay Area is strongly correlated with changes in forest and grassland indicators, indicating the significant impact of urbanization on the peripheral environment.
Article
Environmental Studies
Jun Wang, Zhihua Wang, Hongbin Cheng, Junmei Kang, Xiaoliang Liu
Summary: This study takes the Lushan earthquake in Sichuan Province as an example to analyze the spatial distribution and influencing factors of land cover changes. The results reveal that land cover has improved during the earthquake recovery period, indicating a positive ecological development in the region.
Article
Environmental Studies
Junmei Kang, Xiaomei Yang, Zhihua Wang, Hongbin Cheng, Jun Wang, Hongtao Tang, Yan Li, Zongpan Bian, Zhuoli Bai
Summary: The ecological and natural conditions in drought regions are harsh, with prominent features of water shortages and land desertification. In this study, the accuracy and spatial pattern distribution differences of three high-resolution land cover products (FROM-GLC, ESA, and ESRI) in drought regions were compared and analyzed. The results showed that the FROM-GLC product had the highest overall accuracy, while the ESRI product had the lowest overall accuracy. The spatial consistencies of the three products were low, and the mapping accuracy for grassland, bare land, shrubland, and other vegetation types needs improvement. The FROM-GLC, ESA, and ESRI products can be used as auxiliary data in research related to water and cropland resources in drought regions.
