Journal of Testing and Evaluation最新文献_第2页

Evaluation of the Effects of Different Strain Paths on the Behavior of Sands Using Direct Simple Shear Tests 用直接单剪试验评价不同应变路径对砂土性能的影响

4区材料科学

Journal of Testing and Evaluation Pub Date : 2023-11-14 DOI: 10.1520/jte20220628

Hamid Reza Tohidvand, Masoud Hajialilue-Bonab, Hooshang Katebi

引用次数: 0

Physical Modeling of a Soft Soil Improved with Stone Columns 石柱加固软土的物理模型研究

4区材料科学

Journal of Testing and Evaluation Pub Date : 2023-11-07 DOI: 10.1520/jte20230384

Jahanzaib Israr, Ayesha Iqbal

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Effect of Loading Frequency on the Fretting-Corrosion Degradation of the Stem-Head and Stem-Cement Interfaces in Hip Implants 加载频率对髋关节假体茎-头和茎-骨水泥界面微动腐蚀降解的影响

4区材料科学

Journal of Testing and Evaluation Pub Date : 2023-11-03 DOI: 10.1520/jte20220045

Vinícius O. dos Santos, Patricia O. Cubillos, Claudio T. dos Santos, Wellington G. Fernandes, Maurício J. Monteiro, Ieda M. V. Caminha, Ari D. O. Moré, Carlos R. M. Roesler

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Grain Size Evaluation of Selectively Heated Sintered PM Preforms under Cold Compression 冷压缩条件下选择性加热烧结PM预制体的晶粒度评价

4区材料科学

Journal of Testing and Evaluation Pub Date : 2023-11-02 DOI: 10.1520/jte20230310

Tharmaraj Ramakrishnan, Joseph Davidson Maharajan

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Compaction Quality Control and Assurance of Silt Subgrade Using Roller-Integrated Compaction Monitoring Technology 碾压监测技术对淤泥路基压实质量的控制与保证

4区材料科学

Journal of Testing and Evaluation Pub Date : 2023-11-01 DOI: 10.1520/jte20230117

Qinglong Zhang, Yanwen Zhu, Chuping Wu, Lan Qiao, Huahai Wu, Ren Liu, Wang Guo

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Pull-Out Tests for GFRP/BFRP/Steel Bars Used as Nailing for Coal-Bearing Soil Slopes in Humid Regions 潮湿地区煤质土坡用GFRP/BFRP/钢筋钉拔试验

4区材料科学

Journal of Testing and Evaluation Pub Date : 2023-10-31 DOI: 10.1520/jte20220593

Yun Que, Yiqing Dai, Qifeng Hong, Lei Fang, Canlin Zhang

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Laboratory Evaluation of Marginal and Industrial Waste Material in Geocell-Reinforced Pavements under Cyclic Loading 循环荷载作用下土工格室加筋路面边缘和工业废料的实验室评价

4区材料科学

Journal of Testing and Evaluation Pub Date : 2023-10-30 DOI: 10.1520/jte20220627

Divakar Minchala, Bharath Varma Gottumukkala, Subramanya Prasad Pulikanti, Kranthi K. Kuna

引用次数: 0

Evaluation of Mechanical Performance of Asphalt Emulsion Stabilized Base Course Composed of Reclaimed Asphalt Pavement and Asphaltenes 再生沥青路面与沥青质复合沥青乳化稳定基层的力学性能评价

4区材料科学

Journal of Testing and Evaluation Pub Date : 2023-10-27 DOI: 10.1520/jte20230287

Nusrat Nazim Jhora, Farshad Kamran, Taher Baghaee Moghaddam, Leila Hashemian

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Experimental Study and Mechanism Analysis on Compression–Shear Behavior of Hydraulic Asphalt Concrete at Different Temperatures 不同温度下水工沥青混凝土压剪性能试验研究及机理分析

4区材料科学

Journal of Testing and Evaluation Pub Date : 2023-10-20 DOI: 10.1520/jte20230239

Zhenpeng Yu, Qi Yang, Rui Tang, Furong Li

{"title":"Experimental Study and Mechanism Analysis on Compression–Shear Behavior of Hydraulic Asphalt Concrete at Different Temperatures","authors":"Zhenpeng Yu, Qi Yang, Rui Tang, Furong Li","doi":"10.1520/jte20230239","DOIUrl":"https://doi.org/10.1520/jte20230239","url":null,"abstract":"Hydraulic asphalt concrete (HAC), typically employed as an impermeable structure in embankment dams, is increasingly recognized for its widespread engineering applications. However, investigations of the mechanical performance of HAC under combined compressive–shear stress remain limited, particularly given its temperature sensitivity. Therefore, this study investigates the mechanical behaviors of HAC under combined compressive–shear stress at diverse temperatures and normal compressive stresses. Specifically, the failure modes, stress–strain curves, peak shear stress, and strain of HAC under various temperatures and normal compressive stresses are obtained for analysis. Experimental results demonstrate that the combination of normal compressive stress and temperature induces changes in peak shear stress and correlated shear strain. Increased normal compressive stress results in vertical restriction and the emergence of horizontal cracks, with deformation amplifying at elevated temperatures. All failure modes of HAC under these conditions are absent of spalled fines and debris. It is observed that as the normal compressive stress increases, the peak shear stress progressively increases, whereas an increase in temperature yields a clear decrease in peak shear stress. The shear strength of HAC comprises the cohesion strength of the asphalt matrix and the interfacial adhesion strength between aggregates and asphalt. Finally, three modified compressive–shear failure criteria that exhibit good prediction accuracy are established for HAC at diverse temperatures. This research offers a theoretical reference for the future investigation and engineering application of HAC.","PeriodicalId":17109,"journal":{"name":"Journal of Testing and Evaluation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135513823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Spoofing Traffic Attack Recognition Algorithm for Wireless Communication Networks in a Smart City Based on Improved Machine Learning 基于改进机器学习的智慧城市无线通信网络欺骗流量攻击识别算法

4区材料科学

Journal of Testing and Evaluation Pub Date : 2023-10-20 DOI: 10.1520/jte20220720

Liping Hao, Yinghui Ma

{"title":"Spoofing Traffic Attack Recognition Algorithm for Wireless Communication Networks in a Smart City Based on Improved Machine Learning","authors":"Liping Hao, Yinghui Ma","doi":"10.1520/jte20220720","DOIUrl":"https://doi.org/10.1520/jte20220720","url":null,"abstract":"It is difficult to find spoofing traffic attack information for a wireless communication network, which leads to poor performance of spoofing traffic attack identification. Therefore, a spoofing traffic attack recognition algorithm for wireless communication networks based on improved machine learning has been designed. The process of network traffic classification and several common network cheating traffic attacks are analyzed. A chaotic algorithm is used to search and collect wireless communication network data, and Min-Max and z-score are used to standardize the collected data. The risk assessment function of wireless communication network spoofing traffic attack is constructed, and the spoofing traffic attack is preliminarily determined according to the function. The convolutional neural network in machine learning is improved, and the preliminary judgment results are input into the improved convolutional neural network to identify the attack behavior. The experimental results show that the recall rate of this method for wireless communication network spoofing traffic attacks can reach 90.08 % at the highest level, and the identification process takes only 1,763 ms at the lowest level. It can control the false positive rate of attacks below 4.68 % and the false positive rate below 2.00 %, and the identification effect of spoofing traffic attacks is good.","PeriodicalId":17109,"journal":{"name":"Journal of Testing and Evaluation","volume":"11 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135513827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0