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秦夏

发布时间:2026-05-10     点击数量:

基本信息:

姓名:秦夏

出生年月:199611

学位:博士

职称:师资博士后

E-mail: tbh683@cumt.edu.cn

个人简介:

秦夏,男,安徽宿州人,工学博士,师资博士后20257月博士毕业于伯明翰大学土木工程专业,现为中国矿业大学力学与土木工程学院博士后研究员,合作导师为夏军武教授。长期参与欧盟CircularB国际合作项目,在固废循环利用与结构可靠性分析领域积累了系统研究基础。主要研究方向为纤维增韧混凝土力学性能表征、煤矸石等矿业固废资源化利用、损伤演化机理分析及智能性能预测。已发表论文14篇,以第一作者发表SCI论文8篇,其中中科院一区TOP期刊论文6篇,发表期刊包括Construction and Building MaterialsEngineering StructuresReliability Engineering & System Safety等国际权威期刊。

教育经历:

2020/9-2025/7,英国伯明翰大学 土木工程 博士(导师:Dr Sakdirat Kaewunruen

2018/9-2019/12,英国伯明翰大学 土木工程 硕士(导师:Professor Ravindra K Dhir

2014/9-2018/6,黑龙江大学 土木工程-道桥方向 本科

科研、学术与访学工作经历:

2025/9—至今,中国矿业大学,力学与土木工程学院,师资博士后

研究方向:

1)纤维增韧混凝土宏-微观性能表征与损伤演化机理

2)煤矸石等矿业固废骨料高值化资源化利用

3)数据驱动智能预测模型与结构可靠性评估方法

代表性期刊论文:

[1]  Qin X, et al. Time-dependent reliability assessment and durability analysis of industrial and recycled steel fiber reinforced concrete beams [J]. Engineering Structures, 2025.

[2]  Qin X, et al. Surrogated modelling for structural reliability and safety assessments of high-strength concrete beams with industrial and recycled steel fibers [J]. Engineering Structures, 2024.

[3]  Qin X, et al. Machine Learning and Traditional Approaches in Shear Reliability of Steel Fiber Reinforced Concrete Beams [J]. Reliability Engineering & System Safety, 2024.

[4]  Qin X, et al. Sustainable design framework for enhancing shear capacity in beams using recycled steel fiber-reinforced high-strength concrete [J]. Construction and Building Materials, 2023.

[5]  Qin X, et al. Eco-Friendly Design and Sustainability Assessments of Fibre-Reinforced High-Strength Concrete Structures Automated by Data-Driven Machine Learning Models [J]. Sustainability, 2023.

[6]  Qin X, et al. Sustainable design and carbon-credited application framework of recycled steel fibre reinforced concrete [J]. Developments in the Built Environment, 2024.

[7]  Qin X, et al. Environment-friendly recycled steel fibre reinforced concrete [J]. Construction and Building Materials, 2022.

[8]  Qin X, et al. Briefing: Improved TR63 model for shear strength prediction in HSFRC beams [J]. Proceedings of the Institution of Civil Engineers - Construction Materials, 2025.


 

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