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曹克旺

文章发布时间:2024-04-09     发布者:sjcdx     阅读:1534





一、个人简介

曹克旺,1991年4月生,安徽淮南人,龙湖学者(一档),艺术学和设计硕士点硕士研究生导师。2022年6月获得中国矿业大学工程力学博士学位,2021年1月至2022年1月在国家公派留学基金委的支持下就读于韩国高丽大学土木与环境工程系,2022年6月入职安徽财经大学艺术学院环境设计系工作,目前担任环境设计系负责人。近四年时间以第一作者发表SCI论文12篇,其中中科院2区及以上期刊论文8篇,另外以通讯作者发表SCI论文13篇,博士第四年时获得了近二十万元的各类奖助学金,并且在博三时先后获得了英国伦敦大学学院、爱丁堡大学、日本京都大学和韩国高丽大学等世界名校的offer。


二、学历背景

2011.09—2015.06  安徽理工大学 学士;

2015.09—2017.06  中国矿业大学 硕士;

2018.09—2022.06  中国矿业大学深部岩土国家重点实验攻读博士学位;

2021.01—2022.01  韩国高丽大学土木与环境工程学院国家公派联合培养。


三、研究方向

1. 智能艺术设计

2. 数字创意

3. 艺术与科技


四、学术论文

第一或通讯作者发表SCI论文清单如下:

[1]An experimental study of infrared radiation characteristics of sandstone in dilatancy process. International Journal of Rock Mechanics and Mining Sciences, 2020 (136):104503. (第一作者,国际顶级期刊,校定B级)

[2]Cyclic fatigue characteristics of rock failure using infrared radiation as precursor: experimental insights from loading and unloading response. Fatigue & Fracture of Engineering Materials & Structures, 2021. DOI: 10.1111/ffe.13362 (第一作者,校定B级)

[3]Using the characteristics of infrared radiation during the process of strain energy evolution in saturated rock as a precursor for violent failure. Infrared Physics & Technology, 2020:103406. (第一作者,校定B级) 

[4]Statistical damage model for dry and saturated rock under uniaxial loading based on infrared radiation for possible stress prediction. Engineering Fracture Mechanics, 2022.108134 (第一作者,国际顶级期刊,校定B级)

[5]Infrared radiation denoising model of “sub-region-Gaussian kernel function” in the process of sandstone loading and fracture. Infrared Physics & Technology, 2023, 104583 (第一作者,校定B级)

[6]A comprehensive model for evaluation of infrared radiation and acoustic emission characteristics for sandstone fracture process under loading. Engineering Fracture Mechanics, 2023, 283:109217 (第一作者,国际顶级期刊,校定B级) 

[7]Infrared radiation constitutive model of sandstone during loading fracture process. Infrared Physics & Technology, 2023, 104755 (第一作者,校定B级)

[8]Infrared radiation response mechanism of sandstone during loading and fracture. Theoretical and Applied Fracture Mechanics, 2023,126:103974 (第一作者,校定B级)

[9]Infrared Precursor Experiment to Predict Water Inrushes in Underground Spaces Using a  Multiparameter Normalization. Sustainability, 2023,15:7570(第一作者,校定C级)

[10]Prediction model of dilatancy stress based on brittle rock: A case study of sandstone. Arabian Journal for science and Engineering, 2020:1-12. (第一作者,校定C级)

[11]The determination of a damage model for mudstone under uniaxial loading in acidic conditions. Geofluids, 2020. https://doi.org/10.1155/2020/8888750. (第一作者,校定C级)

[12]Infrared radiation characteristics during crack development in water-bearing sandstone. Soil Mechanics and Foundation Engineering, 2021, 58(3): 209-214. (第一作者,校定C级) 

[13]Analysis of mudstone fracture and precursory characteristics after corrosion of acidic solution based on dissipative strain energy. Sustainability, 2021, 13(8): 4478.(通讯作者,校定C级)

[14]Developing a new bursting liability index based on energy evolution for coal under different loading rates. Sustainability, 2022, 13(3):1573(通讯作者,校定C级)

[15]Development of Predictive Models for Determination of the Extent of Damage in Granite Caused by Thermal Treatment and Cooling Conditions Using Artificial Intelligence. Mathmatics, 2022, 10: 2883.(通讯作者,校定C级)

[16]The Infrared Radiation Characteristics of Sandstone Fracture Seepage under Coupled Stress-Hydro Effect. Sustainability, 2023, 24(14):16454. (通讯作者,校定C级)

[17]Research on Leakage Detection at the Joints of Diaphragm Walls of Foundation Pits Based on Ground Penetrating Radar. Sustainability, 2023, 15(1):504. (通讯作者,校定C级)

[18]An Appropriate Model for the Prediction of Rock Mass Deformation Modulus among Various Artificial Intelligence Models. Sustainability, 2022, 14(22):15225. (通讯作者,校定C级)

[19]Precursory Analysis of Water-Bearing Rock Fracture Based on The Proportion of Dissipated Energy. Sustainability, 2023, 15:1769(通讯作者,校定C级)

[20]Prediction of Coal Dilatancy Point Using Acoustic Emission Characteristics: Insight Experimental and Artificial Intelligence Approaches. Mathmatics, 2023, 11: 1305. (通讯作者,校定C级)

[21]Appraisal of Different Artificial Intelligence Techniques for the Prediction of Marble Strength. Sustainability, 2023,15:8835(通讯作者,校定C级)

[22]Precursors of Cyclic Loading and Unloading Sandstone Failure Based on “Acoustic-Thermal” Loading–Unloading Response Ratio. Sustainability, 2023,15:10158(通讯作者,校定C级)

[23]Investigating average infrared radiation temperature characteristics during shear and tensile cracks in sandstone under different water contents. Infrared Physics & Technology, 2023, 135:104968. (通讯作者,校定B级) 

[24]Quantitative characterization of constitutive model of mudstone under uniaxial loading after immersion in acid solution by infrared radiation. Infrared Physics & Technology, 2023, 135:104997. (通讯作者,校定B级) 

[25]Prediction of rock loading stages using average infrared radiation temperature under shear and uniaxial loading. Infrared Physics & Technology, 2024, 136:105084 (通讯作者,,校定B级)


其余已发表SCI论文:

[26]Prediction of an early failure point using infrared radiation characteristics and energy evolution for sandstone with different water contents. BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT, 2021, 80(9): 6913-6936(第三作者,中科院3区)

[27]Prediction of Sandstone Dilatancy Point in Different Water Contents Using Infrared Radiation Characteristic: Experimental and Machine Learning Approaches. LITHOSPHERE, 2021: 3243070(第三作者,中科院2区)

[28]An Experimental Study on Infrared Radiation Characteristics of Sandstone Samples Under Uniaxial Loading. Rock Mechanics and Rock Engineering, 2019,52(9):3493-3500(第三作者,中科院2区)

[29]Early Violent Failure Precursor Prediction Based on Infrared Radiation Characteristics for Coal Specimens Under Diferent Loading Rates. Rock Mechanics and Rock Engineering, 2022, https://doi.org/10.1007/s00603-022-03021-4(第三作者,中科院2区)


六、学术著作

采动砂岩损伤渗流的红外辐射信息监测预警,机械工业出版社,2023 (第一主编,一类出版社,校定A级)


七、发明专利

授权或在审发明专利4项。

1.红外辐射技术监测煤岩破坏失稳的分级预警方法(审核中发明)

2.一种矿井水浸泡后的承载煤岩体和充填体损伤本构模型建立方法(已授权发明)

3.承载煤岩裂纹萌生和稳定扩展起点的红外辐射识别方法(已授权发明)

4.承载煤岩破裂的红外辐射监测预警方法(已授权发明)


八、科研项目

1.砂岩加载破裂过程中的红外辐射响应机制,安徽省高校重点科研项目,自然科学类,10万元,主持;

2.安徽财经大学高层次人才引进项目,18万,主持;

3.基于红外辐射的城市景观规划设计智能评价方法,校企合作项目,30万,主持;

4.砂岩双轴加载过程中的红外辐射特征及渗水监测预警,江苏省普通高校研究生科研创新计划资助项目,KYCX21_2179,4万元,主持;

5.采动煤岩卸荷损伤演化的红外辐射响应机制及其量化表征研究,国家自然科学基金项目,51874280,62万元,参与;

6.陈家山煤矿414孤岛工作面复杂条件下安全开采技术研究,770万元,参与;

7.陈家山复杂条件下418综采放顶煤工作面灾害防治技术研究,760万元,参与;

8.近距离煤层群保水开采技术研究,校企合作项目,145万元,参与;

9.综放工作面高效开采技术研究,校企合作项目,135万元,参与;

10.旺格维利大断面采场巷道跳采式充填采煤方法研究,校企合作项目,178万元,参与;

11.宁夏王洼煤业有限公司王洼二矿110507工作面沿空掘巷技术研究及应用,校企合作项目,105万,参与;

12.采掘面围岩稳定性和渗漏水的声热智能监测预警技术,校企合作项目,80万元,参与;

13.王家岭矿区纵向裂隙发育煤层巷道支护技术研究与应用研究,校企合作项目,85万,参与;

14.济南地铁深基坑渗漏监测技术研究,校企合作项目,18万元,参与;

15.水资源保护性采煤技术与科学分区研究,校企合作项目,14.95万,参与;

16.浅埋近距离煤层群保水开采机理与技术,校企合作项目,9万,参与。


九、联系方式

电话:19856266211(微信同号),QQ:83160574,邮箱:120220037@aufe.edu.cn