田森-ag九游会j9登录入口旧版

 田森-ag九游会j9登录入口旧版

研究队伍

田森

作者:发布日期:2018-01-25点击量:

  

田 森

qq图片20201023105427

职称职务

副教授/博士生导师


 

 

 

email

联系地址

重庆大学a区资源与安全学院

研究方向

安全科学与工程,主要涉及矿山边坡稳定性及灾害防治、金属矿物聚合分子动力学等。

个人简历

学习经历:

2012/10-2014/10,昆士兰大学,土木工程学院,矿业工程,澳大利亚博士联培

2009/09-2015/05,中南大学,资源与安全工程学院,安全技术及工程,硕博连读

2005/09-2009/07,中南大学,资源与安全工程学院,安全工程,学士

工作经历:

2015/12-   至今,重庆大学,安全工程系,讲师

代表性研究项目

[1] 国家自然科学基金(青年),动-静载作用下尾矿库稳定性及溃决尾砂大变形运移机制研究(no. 51904040),2020-202225万,主持;

[2] 重庆市自然科学基金面上项目,山地复杂地形尾矿库溃坝泥砂流的形成及演进机制研究(no.cstc2020jcyj-msxmx0747),2020-202310万,主持;

[3] 尾矿库溃坝诱发泥砂流致灾机制及危险度评价,中央高校基本科研业务费项目前沿交叉专项no. 2020cdjqy-a045),2020-202115万,主持;

[4] 重庆市留学人员回国创业创新支持计划,重庆地区锰尾矿固结特性及尾矿库稳定性研究(no. cx2018071),2019-20215万,主持;

[5] 尾矿沉积过程宏细观力学行为特性及闭库安全设计研究,国家重点实验室自主课题面上项目(no. 2011da105287-ms201605),2016-201810万,主持;

[6] 膏体尾矿流变-固结耦合机理及动力学特性研究,中央高校基本科研业务费学院专项项目no.   106112016cdjxy240004),2016-20175万,主持;

[7] 尾矿库闭库封顶设计的稳定性分析研究,中央高校基本科研业务费专项项目no. 0222001104460),2018-20205万,主持;

[8] 中央高校基本科研业务费专项项目(no.2020cdj-lhzz-003),2020-20235万,主持;

[9] 煤与瓦斯突出及煤-瓦斯两相流动力致灾多场耦合试验研究,国家自然科学基金项目面上项目,no. 51874055),2019-202271.4万,参与(负责人:许江);

[10] 重庆大学三进工作专题课程建设项目《安全管理学》,2018-2020,主持。

代表性获奖

1. 田森(4/8)高尾矿库溃坝灾害预警关键技术与溃后影响评价研究及其应用,云南省科技进步二等奖,2019

2. 田森(11/15 新城金矿软破介质中高价值残矿体安全开采技术研究,中国黄金协会科学技术一等奖,2016

代表性发明专利、软件著作权

1. 田森, 蔡琛媛, 陈结, 戴炫妍, 王光进. 一种用于矿山安全评价和风险预测的数学模型建立方法,2019.01,中国,发明专利,cn202010432814.8,公开.

2. 陈结,蒲源源,田森,吴斐,聂闻,等. 滑坡型地质灾害智能预警与灾情综合评估系统软件v1.02020.01,计算机软件著作权,2020sr0657426.

代表性专著

《职业卫生与防护》第2版,十三五国家重点出版物出版规划项目教材,机械工业出版社,2018

代表性论文*通讯作者)

[1] guangjin   wang, sen tian*, et al. an experimental study on tailings deposition   characteristics and variation of tailings dam saturation line. geomechanics   and engineering, 2020, 23: 85–92. 

[2] sen tian*, xuanyan   dai, guangjin wang, yiyu lu, jie chen. formation and evolution   characteristics of dam breach and tailings flow from dam failure:   an experimental study. natural hazards, 2020, in press.

[3] sen tian*, xuanyan dai, maoxiang   li, linxing zhang and jie chen. influence of initial distance and heating   rate on the aggregation of cu and au nanoparticles: a md study. modern   physics letters b, 2020, 2150001.

[4] shouyin cai, qizhong   tang, sen   tian*, yiyu lu, et al.   molecular simulation study on the microscopic structure and mechanical   property of defect-containing si methane hydrate. international journal of   molecular sciences, 2019, 20(9), 2305.

[5] linxing zhang, sen tian*, et al. molecular simulations of   sputtering preparation and surface properties transformation of au/cu alloy   coatings under different incident energy. metals, 2019, 9(2), 259.

[6] shouyin cai, sen   tian*, yiyu lu, et al.   molecular simulations of adsorption and energy storage of r1234yf,   r1234ze(z), r134a, r32, and their mixtures in m-mof-74 (m=mg, ni)   nanoparticles. scientific reports, 2020, 10, 7265.

[7] guangjin   wang, sen tian*, et al. evolution pattern of tailings flow from dam   failure and the buffering effect of debris blocking dams. water, 2019,   11(11),  2388.

[8] sen tian*, jianhong chen,   longjun dong. rock strength interval analysis using the testing blind data   theory and fuzzy interval estimation. journal of central south university,   2017, 24(1): 168177.

[9] qi yue, sen tian*, maoxiang li, et al.   the coalescence behavior of water and ethanol droplets: a molecular dynamic   study. modern physics letters b, 2020, 34, 2050280.

[10] zhuangjun wu, maoxiang li, sen tian*, et al. molecular dynamics   simulation of sintering of cu and au nanoparticles. international journal of modern   physics b, 2020,   34, 2050049.

[11] qiang wang, sen   tian*, et al. molecular   simulations of adsorption and thermal energy storage of mixed r1234ze/uio-66   nanoparticle nanofluid. journal of nanomaterials, 2019, 5154173.

[12] sen tian,   jianhong chen. an evaluation model for tailings storage facilities using   improved neural networks and fuzzy mathematics. journal of applied   mathematics, 2015, 5: 1–9.

[13] zehao cao, sen tian*, hu si, yiyu lu, jie chen. safety performance   evaluation (spe) of uncertainty quantification based on grey dynamic   modeling: case study of a coal mine in china. geotechnical and geological   engineering, 2020, 38, 3903–3913.

[14] qiang wang, qizhong   tang, sen tian*. molecular dynamics simulation of si methane hydrate   under compression and tension. open chemistry, 2020, 18(1), 69–76.

[15] linxing zhang,   qibin li, sen tian*, et al. molecular dynamics simulation of the cu/au   nanoparticle alloying process. journal of nanomaterials, 2019,   7612805.

[16] sen tian*, jianhong chen. law analysis of   performance evaluation for mine safety based on combinatorial decision by   multiple theories. ,   2016, 47(6): 2073–2082.

[17] guangjin wang, sen tian*, et al. regional hazard   degree evaluation and prediction for disaster induced by discharged tailings   flow from dam failure. geotechnical and geological engineering, 2020,10.

[18] sen tian, jianhong chen. multi- fuzzy judgment and   nested of the rough set theory-based environmental risk   evaluation for tailings reservoirs [j]. , 2015, 22(12): 47974806.

 

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