ce/papers最新文献_第7页

Seismic Optimization Design Method of High-rise Building Structure Based on Unconstrained Pareto Sorting Genetic Algorithm

ce/papers Pub Date : 2025-03-18 DOI: 10.1002/cepa.3198

Yueqian Wang, Jinlong Liu, Huanhuan Yang, Lili Zhang, Yaying Zhang, Bo Wang

引用次数: 0

Numerical and Theoretical Analysis on Lateral Constrain Stiffness of Angle Steel with In-Situ Nondestructive Reinforcement

ce/papers Pub Date : 2025-03-18 DOI: 10.1002/cepa.3169

Weizhou Xu, Bo Wang, Ya Dai

{"title":"Numerical and Theoretical Analysis on Lateral Constrain Stiffness of Angle Steel with In-Situ Nondestructive Reinforcement","authors":"Weizhou Xu, Bo Wang, Ya Dai","doi":"10.1002/cepa.3169","DOIUrl":"https://doi.org/10.1002/cepa.3169","url":null,"abstract":"This paper presents a new in-situ bonded reinforcement technique to increase the lateral constraint stiffness of angle steel in transmission towers. The reinforcement method does not require drilling on the original material, making it easy to implement. Three sets of specimens with different reinforcement lengths and axial tension and one set of contrasting specimens were designed, and numerical simulations of the lateral constraint stiffness were carried out based on the tests to investigate the effects of reinforcement length and aspect ratio on the reinforcement effect. Finally, the calculation method of lateral constraint stiffness is proposed based on the approximate differential equation of the bending curve. The results show that the new nondestructive reinforcement technique significantly improves the lateral constraint stiffness of the angles by up to 63%. The reinforcement effect is negatively correlated with the axial tension, positively correlated with the reinforcement length, and negatively correlated with the aspect ratio. The proposed calculation method provides a theoretical basis and technical reference for designing and applying angle steel reinforcement.","PeriodicalId":100223,"journal":{"name":"ce/papers","volume":"8 2","pages":"797-808"},"PeriodicalIF":0.0,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143646123","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimal Regression Model Based on Statistical Method for Predicting Tunnel Deformation: A Case Study of Large-span Mudstone Tunnels

ce/papers Pub Date : 2025-03-18 DOI: 10.1002/cepa.3286

Jiangting Mou, Hui Chen, Kaijun Chen, Jianhua Cha

{"title":"Optimal Regression Model Based on Statistical Method for Predicting Tunnel Deformation: A Case Study of Large-span Mudstone Tunnels","authors":"Jiangting Mou, Hui Chen, Kaijun Chen, Jianhua Cha","doi":"10.1002/cepa.3286","DOIUrl":"https://doi.org/10.1002/cepa.3286","url":null,"abstract":"The prediction of tunnel time-dependent deformation data is of crucial significance to ensure the safety of tunnel construction. In order to improve the accuracy and reliability of tunnel deformation prediction, this research presents a procedure for building an optimal regression model, which is applied to a large-span mudstone tunnel. Our procedure performs a large number of regression calculations using sixty-four data sets and multiple types of regression models. The data characteristics of the calculation results are analyzed using box plots and grey decision-making method. In addition, two individual regression models are combined into regression ensemble model, for improving the accuracy of deformation prediction. In this procedure, the building of the model is divided into two stages: early stage and late stage of initial support construction, taking into account the importance of deformation prediction throughout the construction process. Finally, we compared four machine learning models and analyzed their differences in predicting tunnel deformation. The results show that the optimal regression model developed by this procedure have great performance for the early and later stages of tunnel deformation.","PeriodicalId":100223,"journal":{"name":"ce/papers","volume":"8 2","pages":"2019-2033"},"PeriodicalIF":0.0,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143646184","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","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 the numerical fitting and optimization of the flow field of cosine-shaped mountain ranges in real mountainous terrain

ce/papers Pub Date : 2025-03-18 DOI: 10.1002/cepa.3143

Keji Chen, Rong Bian, Linlin Zhang, Zhibin Tu

{"title":"Research on the numerical fitting and optimization of the flow field of cosine-shaped mountain ranges in real mountainous terrain","authors":"Keji Chen, Rong Bian, Linlin Zhang, Zhibin Tu","doi":"10.1002/cepa.3143","DOIUrl":"https://doi.org/10.1002/cepa.3143","url":null,"abstract":"Many power facilities are constructed in mountainous areas and suffer from wind-induced disasters. A real mountainous terrain spanning 4.65 km along the Zhejiang coast was selected for analysis. The terrain model was constructed at a 1:1500 scale ratio for conducting wind tunnel test on terrain flow field measurement. Several typical cosine-shaped mountain ranges were extracted from this real mountainous terrain to model and optimize the wind speed-up ratios above the terrain. Comparisons were made between the wind speed-up ratios calculated using empirical formulas for isolated cosine-shaped mountain ranges and those derived from Chinese and American standards, against the wind tunnel test results. A detailed analysis was conducted on the impact of two types of terrain interference on calculating wind speed-up ratios. The results indicate that, due to the interference suppression effects present in real terrains, the empirical formulas and the calculated values from both Chinese and American standards generally overestimate the wind speed-up ratios. The speed-up ratio profile obtained from the empirical formula for isolated cosine-shaped mountain ranges showed similarity to the wind tunnel test results, suggesting that a single wind reduction coefficient could be applied along the profile height for correction. Wind reduction coefficients for terrain interference were provided based on the wind tunnel test data.","PeriodicalId":100223,"journal":{"name":"ce/papers","volume":"8 2","pages":"523-530"},"PeriodicalIF":0.0,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143646199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Finite Element Analysis of Steel Pipe Repaired by CIPP Under Fault

ce/papers Pub Date : 2025-03-18 DOI: 10.1002/cepa.3174

Kejie Zhai, Hongyuan Fang, Niannian Wang, Bin Li, Xueming Du, Xiangqian Fan, Mingrui Du, Penglu Cui, Xupei Yao

引用次数: 0

Damage Detection in Steel Structures Using Wavelet Transformation and Generalized Genetic Algorithm

ce/papers Pub Date : 2025-03-18 DOI: 10.1002/cepa.3179

Chenfeng Xu

引用次数: 0

Research on double deck beam closure construction based on hanging beam on arch technology

ce/papers Pub Date : 2025-03-18 DOI: 10.1002/cepa.3208

Yexun Li, Laifa Wang, Qianqian Liang

引用次数: 0

Experimental Study on the Effect of Curing Agent on the Mechanical Properties of Concrete

ce/papers Pub Date : 2025-03-18 DOI: 10.1002/cepa.3098

Hongbin Qu

{"title":"Experimental Study on the Effect of Curing Agent on the Mechanical Properties of Concrete","authors":"Hongbin Qu","doi":"10.1002/cepa.3098","DOIUrl":"https://doi.org/10.1002/cepa.3098","url":null,"abstract":"Due to the many flaws in concrete itself it needs to be constantly improved to better suit the development. in order to investigate the influence of curing agent in improving the mechanical properties of concrete, this paper utilizes the type of curing agent (TX-1, KJD-II) and the mass admixture of curing agent (0.1%, 0.2%, 0.3%, 0.4%, 0.5%) as the influencing factors to make concrete specimens, and compressive strength and flexural strength tests were carried out respectively. The test results showed that the compressive strength and flexural strength of the cement specimens showed a trend of gradual increase and then gradual decrease with the increase of the dosage of the two curing agents, and reached the maximum value when the dosage was 0.3%. The compressive strength of curing agent modified concrete was increased by 10.4% and the flexural strength of concrete was increased by 11.5% when KJD II curing agent was mixed at 0.3%. The compressive strength of curing agent-modified concrete increased by 16.6% and the flexural strength of concrete increased by 18.0% when TX-1 curing agent was mixed at 0.3%. This leads to the conclusion that curing agents can significantly enhance the mechanical properties of concrete materials.","PeriodicalId":100223,"journal":{"name":"ce/papers","volume":"8 2","pages":"31-38"},"PeriodicalIF":0.0,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143645905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Safety Risk Prevention and Control-based Analysis of Carbon Emission Reduction by Construction Waste Maden Recycled Aggregate Subgrade

ce/papers Pub Date : 2025-03-18 DOI: 10.1002/cepa.3113

Fengyin Zhou, Wei Xu, Bingyong Zhai, Rongbang Xiao, Yipeng Zhang

{"title":"Safety Risk Prevention and Control-based Analysis of Carbon Emission Reduction by Construction Waste Maden Recycled Aggregate Subgrade","authors":"Fengyin Zhou, Wei Xu, Bingyong Zhai, Rongbang Xiao, Yipeng Zhang","doi":"10.1002/cepa.3113","DOIUrl":"https://doi.org/10.1002/cepa.3113","url":null,"abstract":"In recent years, the occurrence of extreme weather is more and more frequent, severe extreme weather leads to subgrade water damage, slope instability and other safety problems. Especially in flood season, the damage of subgrade drainage facilities, as well as the erosion of roadbed slope, may cause a serious threat to the safety of roadbed, a large number of roadbed reconstruction and safety risk protection become a problem. As a by-product of the development of the construction industry, a large amount of carbon emissions will be released when construction waste is disposed. Analysing the carbon reduction potential of the resource treatment of construction waste will promotes the construction industry's transition to a low-carbon model. In this study, taking a vehicle section of Line 12 of the Zhengzhou Metro as an example, recycled aggregates (RA) from construction and demolition waste (CDW) were used to replace natural materials (NM) in backfilling the road base, and their quality was tested to meet the architectural design standards in order to be used as a safety guarantee subgrade backfill. LCA was used to identify and quantify the material and energy consumption of each unit process, analyse the carbon emissions of the entire construction process and its various stages, and compare the process with a landfill case to measure the carbon reduction benefits of this resource-based treatment method. Finally, it is concluded that the construction waste maden recycled aggregate subgrade has significant advantages in safety risk prevention and control and carbon reduction benefits.","PeriodicalId":100223,"journal":{"name":"ce/papers","volume":"8 2","pages":"183-200"},"PeriodicalIF":0.0,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143645907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Prediction of Fire-induced Spalling in Fiber-reinforced Concrete by Artificial Neural Networks

ce/papers Pub Date : 2025-03-18 DOI: 10.1002/cepa.3096

Rongxing Guo, Hhuimin Chen, Chuanglian Luo

{"title":"Prediction of Fire-induced Spalling in Fiber-reinforced Concrete by Artificial Neural Networks","authors":"Rongxing Guo, Hhuimin Chen, Chuanglian Luo","doi":"10.1002/cepa.3096","DOIUrl":"https://doi.org/10.1002/cepa.3096","url":null,"abstract":"Predicting fire-induced spalling in fiber-reinforced concrete (FRC) incorporating polypropylene (PP) and steel fibers under elevated temperatures presents significant challenges due to the complex interactions within the concrete matrix. Conventional methods have limitations in accurately capturing these complex behaviors. To address this, the study proposes two artificial neural network (ANN) models: the first (ANN1) for evaluating concrete mix compositions and the second (ANN2) for assessing compressive strength characteristics. A detailed dataset of 318 and 321 test samples from existing reference was applied to train ANN1 and ANN2, respectively. Validation was performed using 24 distinct concrete mixtures, totaling 96 tests, which included seven plain concrete (PC) mixes, four PP fiber-reinforced high-performance concrete (HPC) mixes, three PP fiber-reinforced ultra-high-performance concrete (UHPC) mixes, and ten hybrid fiber-reinforced UHPC mixes containing both PP and steel fibers. Results show that ANN1 achieved a predictive accuracy of 89.6%, while ANN2 reached 84.4%, demonstrating the reliability of the proposed ANN models in assessing the risk of explosive spalling in fiber-reinforced concrete under high-temperature conditions.","PeriodicalId":100223,"journal":{"name":"ce/papers","volume":"8 2","pages":"6-20"},"PeriodicalIF":0.0,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143645804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0