Hao Wang, Ke Wu, Licheng Wang, Yupu Song, Zijian Wang, Dongxv Hou, Le Zhou
{"title":"Endochronic Plasticity Theory-Based Dynamic Damage Constitutive Model Development of Concrete Materials","authors":"Hao Wang, Ke Wu, Licheng Wang, Yupu Song, Zijian Wang, Dongxv Hou, Le Zhou","doi":"10.1007/s12205-024-0243-0","DOIUrl":"https://doi.org/10.1007/s12205-024-0243-0","url":null,"abstract":"","PeriodicalId":17897,"journal":{"name":"KSCE Journal of Civil Engineering","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141921087","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xianda Feng, Yingrui Lu, Jiazhi He, Bin Lu, Kaiping Wang
{"title":"Bayesian-Network-Based Predictions of Water Inrush Incidents in Soft Rock Tunnels","authors":"Xianda Feng, Yingrui Lu, Jiazhi He, Bin Lu, Kaiping Wang","doi":"10.1007/s12205-024-0193-6","DOIUrl":"https://doi.org/10.1007/s12205-024-0193-6","url":null,"abstract":"","PeriodicalId":17897,"journal":{"name":"KSCE Journal of Civil Engineering","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141920961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Seismic Design of Structures by Sequential Quadratic Programming with Trust Region Strategy and Endurance Time Method","authors":"Yue Feng","doi":"10.1007/s12205-024-0306-2","DOIUrl":"https://doi.org/10.1007/s12205-024-0306-2","url":null,"abstract":"<p>The optimal design of structures subjected to seismic loading poses significant challenges due to the presence of high nonlinearity and computational complexity. To address these challenges, this paper presents a novel methodology that combines Sequential Quadratic Programming with Trust-Region strategy (SQP-TR) and Endurance Time Method (ETM). SQP-TR is initially presented as a numerical optimization approach to address optimization problems by linearizing the constraints and approximating the objective function with Taylor expansion, as well as employing the filter method and trust region strategy to ensure convergence and feasibility. A five-story linear frame validates its effectiveness and demonstrates promising outcomes. ETM is successfully implemented as a seismic analysis approach to perform nonlinear time history analyses in order to capture the dynamic input feature of the seismic load and evaluate the nonlinear dynamic behaviors of structures. Its practical application is demonstrated by a nine-story structure with nonlinearity, which shows satisfactory results. Finally, the proposed methodology is applied to optimize a twelve-story three-Dimensional (3D) Reinforced Concrete (RC) nonlinear building under seismic load, and the results demonstrate that the method can accomplish optimal seismic design with high accuracy and efficiency.</p>","PeriodicalId":17897,"journal":{"name":"KSCE Journal of Civil Engineering","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141938998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yuan Pan, Shuang-xi Zhou, Jing-yuan Guan, Qing Wang, Yang Ding
{"title":"Concrete Crack Identification Framework Using Optimized Unet and I–V Fusion Algorithm for Infrastructure","authors":"Yuan Pan, Shuang-xi Zhou, Jing-yuan Guan, Qing Wang, Yang Ding","doi":"10.1007/s12205-024-0371-6","DOIUrl":"https://doi.org/10.1007/s12205-024-0371-6","url":null,"abstract":"<p>Currently, most of the concrete crack detection models proposed mainly rely on a single deep learning method, whose performance is limited. To solve the problem, this work presents a deep learning framework for crack identification of concrete. First, a histogram equalization method is adopted to processed the original image, which can effectively enhance the contrast and brightness. Then, to extract effective features of the crack, multiple filters are employed for crack detection, which fusion with original data. In addition, the Unet network is employed as the base classifier for initial diagnosis of concrete crack. To raise the extraction precision, enhanced attention mechanism module is applied to the Unet model for parameter optimization. The combination of Dice function and cross-entropy loss function is applied to evaluate the model performance. The voting integration algorithm is utilized to each prediction result for the decision of the final prediction result. Finally, to demonstrate the effectiveness of the proposed method, a total of 608 steel fiber concrete crack images are collected from laboratory. The results indicate that the proposed deep learning framework offers the optimal comprehensive recognition performance.</p>","PeriodicalId":17897,"journal":{"name":"KSCE Journal of Civil Engineering","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141938994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Experimental Study on Characteristics of Filter Cake Formation in Slurry Shield Tunnelling Based on “Cutter-Soil” Interaction","authors":"Yang Bai, Yapeng Li, Lei Li","doi":"10.1007/s12205-024-0189-2","DOIUrl":"https://doi.org/10.1007/s12205-024-0189-2","url":null,"abstract":"<p>In recent years, more and more river-crossing and sea-crossing underwater tunnels have become the first choice for the construction of large channels in regions with developed river system. Relying on its superior pressure control mode and high security, Slurry Pressure Balance shield (SPB) is widely used in the construction of underwater tunnels with large cross-sections. The filter cake is an important medium to guarantee the stability of the excavation in SPB tunnelling. However, the mechanism of cutter on soil and filter cake (the interaction of “cutter-soil”) are still unclear. In this study, a self-made test apparatus based on the interaction of “cutter-soil” is presented. The experiment results revealed that “cutter-soil” interaction, compared to cases without the interaction, reduced the impermeability and effective stress conversion rate of filter cake, which is unfavorable to guarantee the stability of the tunnel face. To overcome this problem, two methods were proposed: continuous injection of slurry with different densities and increasing the coarse particles of slurry. It is shown that the methods have improved filter the impermeability of cake formation, which contributes to the stability of the shield excavation face.</p>","PeriodicalId":17897,"journal":{"name":"KSCE Journal of Civil Engineering","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141938999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Automated Geotechnical Information Extraction from Construction Boring Logs Using Keyword Groups","authors":"Byeong-Soo Yoo, Jin-Tae Han, Eomzi Yang","doi":"10.1007/s12205-024-0605-7","DOIUrl":"https://doi.org/10.1007/s12205-024-0605-7","url":null,"abstract":"<p>Geotechnical survey data is essential for the construction of civil engineering and architectural structures, with high utilization rates. However, variations in the forms used across different entities such as host organizations, contractors, and structures necessitate manual input tasks during the database creation process, leading to significant consumption of human and time resources. To address this challenge, both standard and distributed boring logs were collected and subjected to comprehensive feature analysis. Based on this analysis, an algorithm capable of automatically extracting the desired geotechnical information from boring logs was developed. This algorithm is versatile, applicable across various formats, and has demonstrated a staggering improvement in information processing speed compared to manual input.</p>","PeriodicalId":17897,"journal":{"name":"KSCE Journal of Civil Engineering","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141939000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Changwon Chae, Soobean Park, Sang-Gyu Yoon, Jinsung An
{"title":"Effect of Origin on Chemical Extractability of Fluorine in Soil and Its Consequence on Human Health Risk","authors":"Changwon Chae, Soobean Park, Sang-Gyu Yoon, Jinsung An","doi":"10.1007/s12205-024-0454-4","DOIUrl":"https://doi.org/10.1007/s12205-024-0454-4","url":null,"abstract":"<p>Exposure to fluorine (F) in soil increases the risks of dental and skeletal fluorosis and osteoporosis. Therefore, it is important to accurately determine the soil F concentration, and quantitatively evaluate the factors that affect the human health risk of soil F. Differences in soil F concentrations were investigated based on source type (anthropogenically contaminated or naturally enriched) and determination method (perchloric acid extraction-distillation (PAED) or alkali fusion-filtration). A soil sample without contamination history (background F concentration = 208 mg·kg<sup>−1</sup>) was collected and injected with sodium fluoride (NaF) to prepare anthropogenically F-contaminated soil. Mica gravel (> 2 mm) was ground and mixed with quartz powder to mimic soil components of natural F origin. The F concentration in anthropogenically contaminated soil did not significantly differ between methods (slope = 0.959, <i>p</i> > 0.05). The concentration in the naturally F-enriched soil analyzed using alkali fusion-filtration was approximately twice that of the sample analyzed using PAED (slope = 0.548, <i>p</i> < 0.05). This significant difference was ascribed to the abundance of chemically stable F. Non-carcinogenic hazard quotients for children differed between methods in naturally F-enriched soil, at 1.335 (alkali fusion-filtration) and 0.641 (PAED). These findings offer valuable insights for assessing, managing, and remediating soils contaminated or enriched with F.</p>","PeriodicalId":17897,"journal":{"name":"KSCE Journal of Civil Engineering","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141938995","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Static Load Testing with Elastic Cushion Layer: A Case Study in Foshan Highway Project","authors":"Yunlong Yao, Xin Liu, Fenqiang Xu, Zhiwei Shao, Guisen Wang, Baoning Hong","doi":"10.1007/s12205-024-0159-8","DOIUrl":"https://doi.org/10.1007/s12205-024-0159-8","url":null,"abstract":"<p>To address limitations in conventional static load tests for composite foundations, a method utilizing an elastic cushion layer is proposed to accurately simulate subgrade behavior, focusing on a highway project in Guangdong Province. Initial finite element calculations justify the elastic cushion layer introduction. Functional correlations are established between the stab deformation of the piles and the thickness, modulus and the pile-soil stress ratio. The reasonable value of the elastic modulus is taken as 4–10 MPa when the elastic cushion layer thickness is 60 mm. Lab and field tests of cement fly-ash gravel (CFG) pile composite foundations assess settlement variations and pile-soil stress ratios from the proposed improvements. Results reveal the superior performance of the elastic cushion layer over the sand cushion layer, effectively mimicking embankment subgrade layers and reducing rigid constraints on the loading plate. The elastic cushion layer exhibits a significant stress-regulating effect, allowing the transition from the original “100–150 mm sand cushion layer + loading plate” to “less than 100 mm sand cushion layer + 60 mm elastic cushion layer (8 MPa) + loading plate”. This adjustment enhances the practical role of the subgrade in the composite foundation, improving the accuracy and feasibility of static load testing methods.</p>","PeriodicalId":17897,"journal":{"name":"KSCE Journal of Civil Engineering","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141938997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}