KSCE Journal of Civil Engineering最新文献_第6页

Predicting Hydrological Drought Conditions of Boryeong Dam Inflow Using Climate Variability in South Korea 利用气候变异性预测韩国宝岭大坝下泄流量的水文干旱状况

IF 2.2 4区工程技术

KSCE Journal of Civil Engineering Pub Date : 2024-08-07 DOI: 10.1007/s12205-024-0160-2

Seonhui Noh, Micah Lourdes Felix, Seungchan Oh, Kwansue Jung

{"title":"Predicting Hydrological Drought Conditions of Boryeong Dam Inflow Using Climate Variability in South Korea","authors":"Seonhui Noh, Micah Lourdes Felix, Seungchan Oh, Kwansue Jung","doi":"10.1007/s12205-024-0160-2","DOIUrl":"https://doi.org/10.1007/s12205-024-0160-2","url":null,"abstract":"When a hydrological drought occurs due to a decrease in water storage, there is no choice but to supply limited water. Because this has a devastating impact on the community, it is necessary to identify causes and make predictions for emergency planning. The state of change in dam inflow can be used to confirm hydrological drought conditions using the Standardized Runoff Index (SRI), and meteorological drought and climate variability are used to identify causal relationships. Multiple Linear Regression (MLR) and Generalized Additive Model (GAM) models are developed to predict accumulated hydrological drought for 6, 12, and 24 months in the Boryeong Dam basin, and the Nash-Sutcliffe model efficiency coefficient (NSE) exceeded 0.4, satisfying the suitability criteria. The estimation ability is highest when predicting a 12-month annual drought, and reliability can be further increased by reflecting some climate fluctuations in a non-linear form. The droughts of 6 month and 24 month cumulative scales are significantly influenced by the Western Hemisphere Warm Pool (WHWP) extending from the eastern North Pacific to the North Atlantic and by the Nino 3.4 region in the tropical Pacific. Furthermore, it is anticipated that the drought conditions of the inflow volume to the Boryeong Dam will worsen with increasing sea surface temperatures in both regions.","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":"141938996","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}

引用次数: 0

Research on Adaptability of CS and BT Hobs to Break Soft and Hard Rock CS 和 BT 滚刀破碎软硬岩石的适应性研究

IF 2.2 4区工程技术

KSCE Journal of Civil Engineering Pub Date : 2024-08-06 DOI: 10.1007/s12205-024-2753-1

Xuhui Zhang, Kang Long, TaoTan, Yashi Liao, Jianfang Li, Jingping Liao

引用次数: 0

Experimental and Theoretical Study on the Shear Performance of Single-Box Double-Compartment Segmental Box Girder 单箱双室节段箱梁剪切性能的实验和理论研究

IF 2.2 4区工程技术

KSCE Journal of Civil Engineering Pub Date : 2024-08-06 DOI: 10.1007/s12205-024-2082-4

XiangYan Fan, FangWen Wu, LaiJun Liu, Meng Du, LiGuo Zhao, JinCheng Cao, Song Lei

{"title":"Experimental and Theoretical Study on the Shear Performance of Single-Box Double-Compartment Segmental Box Girder","authors":"XiangYan Fan, FangWen Wu, LaiJun Liu, Meng Du, LiGuo Zhao, JinCheng Cao, Song Lei","doi":"10.1007/s12205-024-2082-4","DOIUrl":"https://doi.org/10.1007/s12205-024-2082-4","url":null,"abstract":"In this study, the failure mode and mechanism of single-box two-compartment segmental box girders under flexural shear coupling were experimentally studied. Loading tests were conducted on five scaled girders, and the effects of the design parameters on the shear performance were analyzed. The test variables included the loading methods, ratio of internal to external prestressing tendons, and key joint types (vertical and horizontal keys). The test results indicated that different loading methods produce different stress characteristics and damage modes; however, the difference in the ultimate load capacity was negligible. The greater the number of internal prestressing tendons, the greater the bearing capacity. The stress increment of the internal bottom prestress reinforcement was great than the external prestressing tendons. Monolithic box girders could maintain approximately 1.8 times as much pressure as segmental box girders. With the increase of shear span ratio, the load carrying capacity of the segmental beam decreases. Vertical key teeth had a slightly higher bearing capacity than horizontal key teeth. Vertical keys are recommended for segmental box girders owing to their excellent structural properties and ease of construction. and the structure. AASHTO can better predict the shear capacity of segmental beams, while the Chinese code is applicable to segmental beams with appropriate hoop ratio.","PeriodicalId":17897,"journal":{"name":"KSCE Journal of Civil Engineering","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141938939","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}

引用次数: 0

Why Do Drivers Decide to Violate Traffic Rules while Driving Through Road Tunnels? An Application of the Theory of Planned Behavior 为什么驾驶员决定在通过公路隧道时违反交通规则？计划行为理论的应用

IF 2.2 4区工程技术

KSCE Journal of Civil Engineering Pub Date : 2024-08-06 DOI: 10.1007/s12205-024-1717-9

Guanfeng Yan, Yanjie Li, Mingnian Wang, Tao Yan

{"title":"Why Do Drivers Decide to Violate Traffic Rules while Driving Through Road Tunnels? An Application of the Theory of Planned Behavior","authors":"Guanfeng Yan, Yanjie Li, Mingnian Wang, Tao Yan","doi":"10.1007/s12205-024-1717-9","DOIUrl":"https://doi.org/10.1007/s12205-024-1717-9","url":null,"abstract":"Few studies focus on exploring the relationship between psychological factors and drivers’ violation intention in the tunnel sections which feature several adverse characteristics like poor lighting and a monotonous driving environment. In this study, hierarchical multiple regression is adopted to test the predictive effect of the demographic parameters, standard theory of planned behavior (TPB) constructs, and three additional constructs of moral norms, past behavior, and perceived stress to account for intentions to violate traffic rules while driving through road tunnels. In this study, three typical violations while driving inside tunnels including changing the lane, overtaking, and speeding are selected. A sample of drivers (N = 384; 50.3% are men and 49.7% women) were surveyed through a self-report questionnaire. Hierarchical multiple regression analyses show that age appears to be the only significant predictor of violation intention among demographic parameters, and theory of planned behavior (TPB) components account for the majority of the variance in violation intention. In addition, moral norms show a negative significant relationship with violation intention while perceived stress is positively associated with violation intention. The findings could provide an important reference for the development of corresponding interventions.","PeriodicalId":17897,"journal":{"name":"KSCE Journal of Civil Engineering","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141938938","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}

引用次数: 0

Interpretable Capacity Prediction of RC Bridges Based on Genetic Algorithm-enhanced Support Vector Machine Learning 基于遗传算法增强型支持向量机学习的钢筋混凝土桥梁可解释承载力预测

IF 2.2 4区工程技术

KSCE Journal of Civil Engineering Pub Date : 2024-08-06 DOI: 10.1007/s12205-024-1975-6

Shuming Zhou, Donghuang Yan, Yu He

{"title":"Interpretable Capacity Prediction of RC Bridges Based on Genetic Algorithm-enhanced Support Vector Machine Learning","authors":"Shuming Zhou, Donghuang Yan, Yu He","doi":"10.1007/s12205-024-1975-6","DOIUrl":"https://doi.org/10.1007/s12205-024-1975-6","url":null,"abstract":"Existing reinforced concrete (RC) bridges are subjected to environmental erosion and vehicle loads. It is becoming an urgent problem to evaluate the safety condition of bridge structures combining inspection data with artificial intelligence methods. This paper proposes a data-driven capacity assessment framework for existing RC bridges. The load capacity limit state (LCLS) and serviceability limit state (SLS) prediction model are established based on the proposed information fusion machine learning model. The genetic algorithm (GA) optimized support vector machine (SVM) learner is established to capture the relationship between the feature variables and the LSLS or SLS. Forty-five samples are obtained by static and dynamic simulation of the ANSYS models. Five-dimensional parameters are adopted as the key input parameters of the model, including the maximum dynamic deflection, crack opening ratio, and crack normal damage ratio at midspan, 1/4 span, and 3/4 span. The Shapley additive explanations method is proposed to conduct parameters sensitivity analysis. The results show that the GA-SVM regression algorithm in LCLS and SLS reduction factor prediction is better than the artificial neural network (ANN) model. The crack opening ratio is the most critical parameter that can considerably affect the outcomes of the LCLS and SLS prediction.","PeriodicalId":17897,"journal":{"name":"KSCE Journal of Civil Engineering","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141938946","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}

引用次数: 0

Analytical Solution of the Non-circular Tunnel with a Void Defect in the Complex Stress Field 复杂应力场中带有空洞缺陷的非圆形隧道的解析解

IF 2.2 4区工程技术

KSCE Journal of Civil Engineering Pub Date : 2024-08-06 DOI: 10.1007/s12205-024-2481-6

Dapeng Wang, Xing Niu, Jingchun Wang, Chenjie Rao, Qiang Xu

{"title":"Analytical Solution of the Non-circular Tunnel with a Void Defect in the Complex Stress Field","authors":"Dapeng Wang, Xing Niu, Jingchun Wang, Chenjie Rao, Qiang Xu","doi":"10.1007/s12205-024-2481-6","DOIUrl":"https://doi.org/10.1007/s12205-024-2481-6","url":null,"abstract":"To address the issue of stress concentrations afflicting non-circular tunnels caused by void defects, a method of analytical solution is introduced, which is grounded in the theory of complex variables. Firstly, the mapping function of the non-circular tunnel containing a void was obtained; then the power series method was implemented to determine the coefficients of the stress function and formulate the solution equations. Finally, the analytical solution was verified by simulation through Flac3D software. The effects of pore depth, width, stress inclination and stress ratio on the stress and deformation of the tunnel are considered analytically using the method of this paper. The findings indicate a strong agreement between the analytical solution and the numerical solution, and there is an obvious stress concentration at the defect location. The void depth, width, main stress field inclination and stress ratio contribute remarkably to the stress concentration at the location of tunnel void defects, thus affecting the mechanical behavior and safety condition after tunnel excavation. The results of the study propose a fast and accurate elasticity calculation method for non-circular tunnel excavation problems, offering a valuable reference to similar tunnel projects in design, construction and stability analysis.","PeriodicalId":17897,"journal":{"name":"KSCE Journal of Civil Engineering","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141938944","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}

引用次数: 0

A Method to Analyze the Formation of Plastic Hinges in RC Structures under Fire Conditions 分析火灾条件下钢筋混凝土结构塑性铰链形成的方法

IF 2.2 4区工程技术

KSCE Journal of Civil Engineering Pub Date : 2024-08-06 DOI: 10.1007/s12205-024-0055-2

Weiyi Kong, Chuanguo Fu, Zhen Wang

引用次数: 0

Brahmaputra River (Pandu Station) Flow Prediction Using MLR, ANN, and RF Models Combined with Wavelet Transform 使用 MLR、ANN 和 RF 模型并结合小波变换预测雅鲁藏布江（潘都站）流量

IF 2.2 4区工程技术

KSCE Journal of Civil Engineering Pub Date : 2024-08-06 DOI: 10.1007/s12205-024-2521-2

Sachin Dadu Khandekar, Dinesh Shrikrishna Aswar, Varsha Sachin Khandekar, Shivakumar B. Khaple

{"title":"Brahmaputra River (Pandu Station) Flow Prediction Using MLR, ANN, and RF Models Combined with Wavelet Transform","authors":"Sachin Dadu Khandekar, Dinesh Shrikrishna Aswar, Varsha Sachin Khandekar, Shivakumar B. Khaple","doi":"10.1007/s12205-024-2521-2","DOIUrl":"https://doi.org/10.1007/s12205-024-2521-2","url":null,"abstract":"In the current work, a DWT (Discrete Wavelet Transform) was linked to ANN, MLR, and RF to develop hybrid models WANN, WMLR, and WRF, respectively, for Brahmaputra River flow forecasting. We used ten-year daily flow data from Pandu Station, which was decomposed (up to five levels) into multiresolution time series using DWT and Daubechies wavelets db1, db2, db3, db8, and db10. The predicted discharge values for multiple lead times (2, 3, 4, 7, and 14 days) have been then obtained by feeding multiresolution time series data as the input to MLR, ANN, and RF. It was discovered that the WMLR-db10 model outperformed the WANN and WRF models for all lead times. Throughout the testing phase, the values of Nash-Sutcliffe efficiency (NS) along with RMSE (shown in bracket) for the WMLR-db10 model for lead times 2, 3, 4, 7 and 14 days have been observed to be, respectively, 0.998 (415.18 m3/s), 0.998 (514.21 m3/s), 0.996 (713.62 m3/s), 0.991 (1030.83 m3/s), and 0.977 (1638.64 m3/s). Additionally, it has been observed that WANN performed better for low-order wavelets (db1, db2, db3), WMLR performed better for high-order wavelets (db8, db10), and WRF performed worst of all the wavelets.","PeriodicalId":17897,"journal":{"name":"KSCE Journal of Civil Engineering","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141939002","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}

引用次数: 0

Analytical Method of Spatiotemporal Evolution Characteristics of Unsteady Seepage Flow Pore Water Pressure in Front of Tunnel Face 隧道工作面前非稳态渗流孔隙水压力时空演变特征的分析方法

IF 2.2 4区工程技术

KSCE Journal of Civil Engineering Pub Date : 2024-08-06 DOI: 10.1007/s12205-024-1083-7

Caixia Guo, Zuozhen Wang, Qingtao Lin, Dechun Lu, Xiuli Du

{"title":"Analytical Method of Spatiotemporal Evolution Characteristics of Unsteady Seepage Flow Pore Water Pressure in Front of Tunnel Face","authors":"Caixia Guo, Zuozhen Wang, Qingtao Lin, Dechun Lu, Xiuli Du","doi":"10.1007/s12205-024-1083-7","DOIUrl":"https://doi.org/10.1007/s12205-024-1083-7","url":null,"abstract":"To evaluate the spatiotemporal evolution of pore water pressure in unsteady seepage flow ahead of a tunnel face, a partial differential equation for unsteady seepage is established. The ranges and boundary conditions of the unsteady seepage flow are specified, and the analytical solution of the unsteady seepage flow is obtained by the eigenfunction method. The obtained analytical solution additionally considers the time factor, which can be used to study the influence of seepage time on the seepage flow. And the pressure transmitting coefficient is introduced to analyze the influence of water and soil characteristics on the unsteady seepage. The analysis shows that the spatiotemporal evolution of the unsteady seepage flow pore water pressure ahead of a tunnel face is reflected in two aspects, the dissipation of the water pressure and the diffusion of the influence range of the unsteady seepage. The dissipation captures the gradual reduction of pore water pressure at a specific location as time progresses. Meanwhile, diffusion characterizes the alteration in the spatial distribution of water pressure. The pressure transmitting coefficient promotes the rate of unsteady seepage, while the height of water table has a greater influence on the magnitude of water pressure change in unsteady seepage flow.","PeriodicalId":17897,"journal":{"name":"KSCE Journal of Civil Engineering","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141939001","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}

引用次数: 0

Pullout Capacity of Long Granular Pile Anchors Using Numerical Analyses of Random Fields 利用随机场数值分析长颗粒桩锚的拔出能力

IF 2.2 4区工程技术

KSCE Journal of Civil Engineering Pub Date : 2024-08-06 DOI: 10.1007/s12205-024-0518-5

Behnam Bagheri, Mohammad Mohsen Toufigh, Vahid Toufigh

{"title":"Pullout Capacity of Long Granular Pile Anchors Using Numerical Analyses of Random Fields","authors":"Behnam Bagheri, Mohammad Mohsen Toufigh, Vahid Toufigh","doi":"10.1007/s12205-024-0518-5","DOIUrl":"https://doi.org/10.1007/s12205-024-0518-5","url":null,"abstract":"The undrained pullout capacity of granular pile anchors (GPA) can be sensitive to changes in soil shear strength. Researchers are intrigued by evaluating spatial variations in soil behavior in geostructures. However, there is a dearth of research on the effect of spatial soil variability on long GPA pullout capacity. The present study conducted probabilistic analyses of GPA pullout capacity using the local average subdivision method (LAS), considering the spatial variation of soil shear strength and its correlation with the soil elastic and shear modulus. The finite-difference method was used to predict GPA behavior in each random field realization to determine the probability of failure using the Monte Carlo method. The results demonstrated that consideration of GPA’s friction angle as a random parameter had negligible effects on pullout capacity. Moreover, the surface heave was limited by increasing the length/diameter ratio to more than 10. The pullout capacity of the GPA decreased by 30% due to a higher horizontal to vertical correlation length exceeding 5. In addition, the safety factor for the empirical equation obtained 1.5 and 2 for coefficient of variation higher and less than 0.2 in an isotropic random field, respectively. Finally, the concrete granular pile anchors were proposed to increase the pullout capacity and reduce corrosion effects on the anchor bar.","PeriodicalId":17897,"journal":{"name":"KSCE Journal of Civil Engineering","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141938945","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}

引用次数: 0