一、INSTITUTE OF HYDROGEOLOGY AND ENGINEERING GEOLOGY——ACHIEVEMENTS OF RESEARCH（论文文献综述）
KANG Fengxin,ZHAO Jichu,TAN Zhirong,SUI Haibo,SHI Meng[1]（2021）在《Geothermal Power Generation Potential in the Eastern Linqing Depression》文中认为China has been the leading country worldwide in direct geothermal utilization for a rather long time, which has contributed significantly to reducing carbon emissions. But the installed capacity of geothermal power generation in China is very small, and there are only a few geothermal power plants in China, specifically in Tibet, including the well-known Yangbajing geothermal power plant. Therefore, it is anticipated that more high-temperature geothermal resources will be discovered in order to promote China’s power generation. There is potential for high-enthalpy geothermal in the Eastern Linqing Depression in Shandong Province, where geothermal energy is stored in Ordovician and Cambrian carbonate strata. Based on the geothermal gradient in Cenozoic strata and the depth of the target geothermal reservoir, the temperature distribution pattern of the reservoir was analyzed, and two "sweet points" were identified in the Yucheng geothermal field and the Guanxian geothermal field, where the reservoir temperature is predicted to be higher than 200°C at a depth of less than 8000 m. Due to the low karst fissure ratio and the insufficient geothermal fluid in the geothermal reservoir, it is recommended that an enhanced geothermal system be set up, to increase the permeability of the natural fracture system in the carbonate formations and provide sufficient fluid for power generation through reinjection of used geothermal fluid. The power generation capacity of the two geothermal fields was estimated using a volumetric method, revealing a power generation capacity of 1621.02 MWe for the Yucheng geothermal field, and 1287.19 MWe for the Guanxian geothermal field.
JTTE Editorial Office,Jiaqi Chen,Hancheng Dan,Yongjie Ding,Yangming Gao,Meng Guo,Shuaicheng Guo,Bingye Han,Bin Hong,Yue Hou,Chichun Hu,Jing Hu,Ju Huyan,Jiwang Jiang,Wei Jiang,Cheng Li,Pengfei Liu,Yu Liu,Zhuangzhuang Liu,Guoyang Lu,Jian Ouyang,Xin Qu,Dongya Ren,Chao Wang,Chaohui Wang,Dawei Wang,Di Wang,Hainian Wang,Haopeng Wang,Yue Xiao,Chao Xing,Huining Xu,Yu Yan,Xu Yang,Lingyun You,Zhanping You,Bin Yu,Huayang Yu,Huanan Yu,Henglong Zhang,Jizhe Zhang,Changhong Zhou,Changjun Zhou,Xingyi Zhu[2]（2021）在《New innovations in pavement materials and engineering:A review on pavement engineering research 2021》文中提出Sustainable and resilient pavement infrastructure is critical for current economic and environmental challenges. In the past 10 years, the pavement infrastructure strongly supports the rapid development of the global social economy. New theories, new methods,new technologies and new materials related to pavement engineering are emerging.Deterioration of pavement infrastructure is a typical multi-physics problem. Because of actual coupled behaviors of traffic and environmental conditions, predictions of pavement service life become more and more complicated and require a deep knowledge of pavement material analysis. In order to summarize the current and determine the future research of pavement engineering, Journal of Traffic and Transportation Engineering（English Edition） has launched a review paper on the topic of "New innovations in pavement materials and engineering: A review on pavement engineering research 2021". Based on the joint-effort of 43 scholars from 24 well-known universities in highway engineering, this review paper systematically analyzes the research status and future development direction of 5 major fields of pavement engineering in the world. The content includes asphalt binder performance and modeling, mixture performance and modeling of pavement materials,multi-scale mechanics, green and sustainable pavement, and intelligent pavement.Overall, this review paper is able to provide references and insights for researchers and engineers in the field of pavement engineering.
赵阳升[3]（2021）在《岩体力学发展的一些回顾与若干未解之百年问题》文中认为在讨论若干岩体力学概念的基础上,较全面地回顾与分析了全世界岩体力学发展中科学与应用2个方面的重要成就及不足,其中,在岩石力学试验机与试验方法方面,介绍了围压三轴试验机、刚性试验机、真三轴试验机、流变试验机、动力试验机、高温高压试验机、多场耦合作用试验机、CT-岩石试验机、现场原位岩体试验及试验标准等;本构规律方面介绍了岩石全程应力-应变曲线、围压三轴与真三轴力学特性、时效与尺寸效应特性、动力特性、渗流特性、多场耦合特性、结构面力学特性、岩体变形破坏的声光电磁热效应等;岩体力学理论方面介绍了岩体力学介质分类、块裂介质岩体力学、强度准则、本构规律、断裂与损伤力学、多场耦合模型与裂缝分布模型;数值计算方面介绍了数值方法与软件、位移反分析与智能分析方法。清晰地论述了工程岩体力学与灾害岩体力学分类、概念及其应用领域划分,分析、梳理了大坝工程、隧道工程、采矿工程、石油与非常规资源开发工程等重大工程的岩体力学原理,以及各个历史阶段工程技术变迁与发展的工程岩体力学的重要成就,分析、梳理了滑坡、瓦斯突出、岩爆与地震等自然与工程灾害发生及发展的岩体力学原理,以及各个历史阶段的预测防治技术的灾害岩体力学重要成就。详细分析、讨论了8个岩体力学未解之百年问题,包括岩体力学介质分类理论、缺陷层次对岩体变形破坏的控制作用和各向异性岩体力学理论与分析方法 3个岩体力学理论问题,岩体尺度效应、时间效应、岩体系统失稳破坏的灾变-混沌-逾渗统一理论、完整岩石试件与岩体系统失稳破坏的时间-位置与能量三要素预测预报5个非线性岩体力学问题。
Yao Wang,Chi-hui Guo,Shu-rong Zhuang,Xi-jie Chen,Li-qiong Jia,Ze-yu Chen,Zi-long Xia,Zhen Wu[4]（2021）在《Major contribution to carbon neutrality by China’s geosciences and geological technologies》文中认为In the context of global climate change, geosciences provide an important geological solution to achieve the goal of carbon neutrality, China’s geosciences and geological technologies can play an important role in solving the problem of carbon neutrality. This paper discusses the main problems, opportunities, and challenges that can be solved by the participation of geosciences in carbon neutrality, as well as China’s response to them. The main scientific problems involved and the geological work carried out mainly fall into three categories:（1） Carbon emission reduction technology（natural gas hydrate, geothermal, hot dry rock, nuclear energy, hydropower, wind energy, solar energy, hydrogen energy）;（2） carbon sequestration technology（carbon capture and storage, underground space utilization）;（3） key minerals needed to support carbon neutralization（raw materials for energy transformation, carbon reduction technology）.Therefore, geosciences and geological technologies are needed: First, actively participate in the development of green energy such as natural gas, geothermal energy, hydropower, hot dry rock, and key energy minerals, and develop exploration and exploitation technologies such as geothermal energy and natural gas; the second is to do a good job in geological support for new energy site selection, carry out an in-depth study on geotechnical feasibility and mitigation measures, and form the basis of relevant economic decisions to reduce costs and prevent geological disasters; the third is to develop and coordinate relevant departments of geosciences, organize and carry out strategic research on natural resources, carry out theoretical system research on global climate change and other issues under the guidance of earth system science theory, and coordinate frontier scientific information and advanced technological tools of various disciplines. The goal of carbon neutrality provides new opportunities and challenges for geosciences research. In the future, it is necessary to provide theoretical and technical support from various aspects, enhance the ability of climate adaptation, and support the realization of the goal of carbon peaking and carbon neutrality.
Wei Zhang,Weijie Zhao,Liang Zhao[5]（2021）在《Institute of Geology and Geophysics, Chinese Academy of Sciences——The time-space exploration from Earth core to galaxies》文中提出The Institute of Geology and Geophysics, Chinese Academy of Sciences（IGGCAS） is located in the ancient city of Beijing, with the 700-yearold ancient city wall of the Yuan dynasty to the south and the prosperous Olympic Avenue to the east. Just as its location connects past and present, IGGCAS enjoys a long history as well as a brilliant future.
尹立河,张俊,王哲,董佳秋,常亮,李春燕,张鹏伟,顾小凡,聂振龙[6]（2021）在《西北内陆河流域地下水循环特征与地下水资源评价》文中研究说明在系统梳理前人调查研究成果基础上,总结了西北内陆河流域主要的含水层特点,对山区、平原区和沙漠区的地下水循环特点进行了分析,着重对平原区地下水水流系统进行了讨论。由于西北内陆河流域地下水与地表水关系密切,形成了具有密切水力联系的含水层-河流系统,不论是上游开发地表水还是地下水,都会引起整个流域内地下水资源的强烈变化。地下水资源评价表明,西北内陆河流域地下水资源量为783亿m3/a,其中平原区的地下水资源量为487亿m3/a,山区与平原区的地下水资源重复量为199亿m3/a,现状开采量为128亿m3/a。地下水开发潜力分析表明,除柴达木盆地、塔里木盆地南缘等地区外,其他地区的地下水开采潜力有限,应通过提高水资源的利用效率来提高其承载能力。今后应加大（微）咸水资源化、地下水水库的调查研究,加强地下水的生态功能和生态需水量评价,为地下水资源的合理开发利用提供技术支撑。
ZHAO Jiayi,WANG Guiling,ZHANG Cuiyun,XING Linxiao,LI Man,ZHANG Wei[7]（2021）在《Genesis of Geothermal Fluid in Typical Geothermal Fields in Western Sichuan, China》文中研究指明The hydrogeochemical characteristics of geothermal fluids can reveal the genesis of geothermal systems and act as important references for developing and using geothermal resources.This study presents hydrogeochemical processes and thermal cycle mechanisms of typical geothermal fields in Western Sichuan.Based on the geological conditions in Western Sichuan,29 hot springs in three geothermal fields in the Batang and Litang areas were selected for hydrochemical and isotopic (δD andδ18O) analyses.Furthermore,the temperature of the thermal reservoir was calculated and the upflow cooling process of the hot springs was analyzed.Most of the subterranean hot waters in Batang and Litang are of the HCO3-Na hydrochemical type.The ion variation in Batang is primarily affected by water-rock interactions.There is a strong positive correlation between Na+,B-,and Cl-in Litang,suggesting that they have the same material source.The Na+and metaboric acid content is relatively high,which indicates that the groundwater runoff in both areas is relatively long-lasting,with reduced flow velocity;moreover,the metasilicic acid content is relatively high,which supports this conclusion.Both hydrogen and oxygen isotopes plot near the atmospheric precipitation line,indicating that groundwater recharge is functionally obtained from precipitation.The calculated thermal storage temperatures in Batang and Litang were 88–199°C and 96–154°C,respectively.The proportion of cold water mixing in Batang was 64%–67%,while that in Litang was 60%–68%.According to the calculated results,the initial thermal cycle depth of the Batang area （4540–4780 m） was greater than that of the Litang area （3150–3960 m）.The enthalpy of the deep parental geothermal fluid in Batang was 1550 J/g with a Cl-concentration of 37 mg/L,while that in Litang was 2100 J/g with a Cl-concentration of 48 mg/L.
Kaleem Ullah Jan Khan[8]（2021）在《降雨入渗触发非饱和煤矸石堆积边坡失稳的机理研究》文中指出土坡的稳定性与降雨渗透过程有关,其特点是剪切强度降低以及吸力损失,从而最终导致了失稳。土坡失稳主要发生在降雨期间或降雨后,虽然已经被证明为降雨渗透导致土体强度降低以及孔隙水压力迅速增加而造成,但引发斜坡失稳的重要影响机理还没有得到充分的讨论。降雨强度和降雨持续时间对边坡稳定性的影响,但降雨渗透过程对煤矸石堆积边坡稳定性的影响尚需深入研究。为此研究降雨入渗过程对土坡稳定性的影响,尤其对世界范围内广泛分布的矿渣堆积体稳定性及环境安全具有重要意义。降雨特征（降雨强度和持续时间）和土体的导水性影响着边坡的稳定状态及失效类型。一般来说,土坡破坏的机理有两种,即降雨湿润锋的传播导致垫层吸力的丧失以及地下水位的上升。到目前为止,仍然没有明确的指标来确定导致矿渣型边坡失效的主导参数。因此,本研究在开展东北阜新地区一煤矸石堆积边坡失稳机制研究中考虑了降雨渗透过程。通过收集已有资料、现场调查、实验室试验和数值模拟方法,较深入研究了煤矸石堆积边坡降雨诱发的失稳过程及其机理。采用渗流-应力耦合和非耦合有限元分析方法,对煤矸石堆积边坡的失效机理进行评价。采用物理模型测试分析了不同降雨条件下土坡中孔隙水压力的分布特征,采用有限元法数值方法按照渗流-应力耦合和非耦合两张方式研究了不同降雨持续时间（1天、2天、3天、4天和5天）和降雨强度对边坡变形破坏的影响。通过在坡面不同位置（坡顶、坡中、坡尖）设置监测点,观察并比较每次降雨后孔隙水压力的变化、变形规律和稳定性。煤矸石的高渗透性与在坡趾附近观察到的因水流而产生的最大变形进一步解释了坡体向下运动的原因,与现场观测和物理模型的观测结果有较好的一致性。研究结果还表明,渗透率的增加导致孔隙水压力的滞后性增加,土坡稳定系数下降。耦合分析中的安全系数（应力和孔隙水压力的耦合效应）与未耦合分析（水力反应效应）相比显着降低。为防止边坡进一步破坏,防止其对道路交通的影响,采用锚固与水平排水相结合的设计。建议在边坡顶部采用混凝土梁锚杆加固路基,在坡脚附近设置桩排。引入水平排水系统,分流雨水,保护边坡和道路的顶部和底部。采用极限平衡Bishop法分析了桩锚加固的效果,评价了加固方案对边坡安全系数的影响。结果表明:桩锚加固土边坡的安全系数由0.9提高到1.14;利用工程价值研究,在滑坡区设计水平排水系统,控制滑坡体内过量降雨入渗,保护坡顶和坡底道路,分流雨水。
Zhong-shuang Cheng,Chen Su,Zhao-xian Zheng,Zhuang Li,Li-kang Wang,En-bao Wang[9]（2021）在《Grain size characteristics and genesis of the Muxing loess in the Muling-Xingkai Plain, Northeast China》文中提出Thick loess is deposited on the platform in the piedmont zone of Muling-Xingkai Plain（Muxing Plain）, but the genesis of the Muxing loess is still unclear. The aims of this study are to analyze the grain size characteristics of Muxing loess collected from the cores of a typical borehole（ZK1） in the piedmont zone of Muxing Plain, and to verify its genesis. The Muxing loess is mainly composed of the particles with diameter less than 50 μm, with an average content of 92.48%. The coarse silt particles with diameter of 10-50 μm are the basic composition of aeolian sediments, and their average content is 44.34% for the Muxing loess, which is the mode class among the particles with different diameters. The grain size parameters and frequency curves are similar to those of the typical aeolian sediments. The distribution characteristic of the Muxing loess in the C-M scatter diagram is consistent with that of the Xi Feng loess. In addition, the discriminant analysis shows the Muxing loess mostly consists of aeolian sediments. Therefore, it can be concluded that the Muxing loess mainly resulted from aeolian deposition based on the grain size characteristics. Muxing Plain is dominated by the monsoon climate, and the wind-blown dusts are gradually deposited after being transported over long distances.
Ruo-xi Yuan,Gui-ling Wang,Feng Liu,Wei Zhang,Wan-li Wang,Sheng-wei Cao[10]（2021）在《Evaluation of shallow geothermal energy resources in the Beijing-Tianjin-Hebei Plain based on land use》文中研究说明To discover the characteristics, distribution and potential of shallow geothermal energy in the Beijing-Tianjin-Hebei Plain area. This paper, based on a large amount of data collection and field investigations, evaluateed the shallow-layer geothermal energy in the study area through the analytic hierarchy process and comprehensive index method. Based on suitability zoning results superimposed with 1:100 000 land use data, the study area is divided into encouraged, controlled, restricted and prospective mining areas regarding the development of shallow geothermal energy, and the economic availability of shallow geothermal energy in the encouraged and controlled areas are evaluated. The results show that the shallow geothermal energy in the Beijing-Tianjin-Hebei Plain can meet the heating and cooling demand of 6×108 m2 of buildings, equivalent to 1.15×107 t of standard coal, thus reducing carbon dioxide emissions by 2.73×107 t and reducing sulfur dioxide emissions by 1.95×105 t. According to the development and utilization mode, the energy demand level and the Beijing-Tianjin-Hebei coordinated development plan, the development and utilization of geothermal resources in the plain area has two types: Urban concentrated mining areas and rural scattered mining areas. The scale and level of intensive utilization of regional geothermal resources are of great significance.
二、INSTITUTE OF HYDROGEOLOGY AND ENGINEERING GEOLOGY——ACHIEVEMENTS OF RESEARCH（论文开题报告）
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三、INSTITUTE OF HYDROGEOLOGY AND ENGINEERING GEOLOGY——ACHIEVEMENTS OF RESEARCH（论文提纲范文）
（1）Geothermal Power Generation Potential in the Eastern Linqing Depression（论文提纲范文）
| 1 Introduction |
| 2 Regional Geology |
| 2.1 Tectonic structure |
| 2.2 Stratigraphy of the study area |
| 2.3 Igneous rocks |
| 3 Methods and Data Analysis |
| 3.1 Study methods |
| 3.2 Data analysis |
| 4 Features of the Karst Geothermal Reservoir |
| 4.1 Geothermal reservoir temperature estimation |
| 4.2 Geothermal reservoir properties |
| 4.2.1 Lithological properties |
| 4.2.2 Spatial distribution |
| 4.2.3 Karst fissure development characteristics |
| 5 Power Generation Capacity Estimation |
| 5.1 Estimation method |
| 5.2 Temperature threshold for power generation |
| 5.3 Coefficient of geothermal energy conversion to electricity |
| 5.4 Capacity estimation results |
| 6 Discussion |
| 7 Conclusions |
（2）New innovations in pavement materials and engineering:A review on pavement engineering research 2021（论文提纲范文）
| 1. Introduction |
| (1) With the society development pavement engineering facing unprecedented opportunities and challenges |
| (2) With the modern education development pavement engineering facing unprecedented accumulation of scientific manpower and literature |
| 2. Asphalt binder performance and modeling |
| 2.1. Binder damage,healing and aging behaviors |
| 2.1.1. Binder healing characterization and performance |
| 2.1.1. 1. Characterizing approaches for binder healing behavior. |
| 2.1.1. 2. Various factors influencing binder healing performance. |
| 2.1.2. Asphalt aging:mechanism,evaluation and control strategy |
| 2.1.2. 1. Phenomena and mechanisms of asphalt aging. |
| 2.1.2. 2. Simulation methods of asphalt aging. |
| 2.1.2. 3. Characterizing approaches for asphalt aging behavior. |
| 2.1.2. 4. Anti-aging additives used for controlling asphalt aging. |
| 2.1.3. Damage in the characterization of binder cracking performance |
| 2.1.3. 1. Damage characterization based on rheological properties. |
| 2.1.3. 2. Damage characterization based on fracture properties. |
| 2.1.4. Summary and outlook |
| 2.2. Mechanism of asphalt modification |
| 2.2.1. Development of polymer modified asphalt |
| 2.2.1. 1. Strength formation of modified asphalt. |
| 2.2.1. 2. Modification mechanism by molecular dynamics simulation. |
| 2.2.1. 3. The relationship between microstructure and properties of asphalt. |
| 2.2.2. Application of the MD simulation |
| 2.2.2. 1. Molecular model of asphalt. |
| 2.2.2. 2. Molecular configuration of asphalt. |
| 2.2.2. 3. Self-healing behaviour. |
| 2.2.2. 4. Aging mechanism. |
| 2.2.2. 5. Adhesion mechanism. |
| 2.2.2. 6. Diffusion behaviour. |
| 2.2.3. Summary and outlook |
| 2.3. Modeling and application of crumb rubber modified asphalt |
| 2.3.1. Modeling and mechanism of rubberized asphalt |
| 2.3.1. 1. Rheology of bituminous binders. |
| 2.3.1. 2. Rheological property prediction of CRMA. |
| 2.3.2. Micromechanics-based modeling of rheological properties of CRMA |
| 2.3.2. 1. Composite system of CRMA based on homogenization theory. |
| 2.3.2. 2. Input parameters for micromechanical models of CRMA. |
| 2.3.2. 3. Analytical form of micromechanical models of CRMA. |
| 2.3.2. 4. Future recommendations for improving micro-mechanical prediction performance. |
| 2.3.3. Design and performance of rubberized asphalt |
| 2.3.3. 1. The interaction between rubber and asphalt fractions. |
| 2.3.3. 2. Engineering performance of rubberized asphalt. |
| 2.3.3. 3. Mixture design. |
| 2.3.3. 4. Warm mix rubberized asphalt. |
| 2.3.3. 5. Reclaiming potential of rubberized asphalt pavement. |
| 2.3.4. Economic and Environmental Effects |
| 2.3.5. Summary and outlook |
| 3. Mixture performance and modeling of pavement materials |
| 3.1. The low temperature performance and freeze-thaw damage of asphalt mixture |
| 3.1.1. Low temperature performance of asphalt mixture |
| 3.1.1. 1. Low temperature cracking mechanisms. |
| 3.1.1. 2. Experimental methods to evaluate the low temperature performance of asphalt binders. |
| 3.1.1. 3. Experimental methods to evaluate the low temperature performance of asphalt mixtures. |
| 3.1.1. 4. Low temperature behavior of asphalt materials. |
| 3.1.1.5.Effect factors of low temperature performance of asphalt mixture. |
| 3.1.1. 6. Improvement of low temperature performance of asphalt mixture. |
| 3.1.2. Freeze-thaw damage of asphalt mixtures |
| 3.1.2. 1. F-T damage mechanisms. |
| 3.1.2. 2. Evaluation method of F-T damage. |
| 3.1.2. 3. F-T damage behavior of asphalt mixture. |
| (1) Evolution of F-T damage of asphalt mixture |
| (2) F-T damage evolution model of asphalt mixture |
| (3) Distribution and development of asphalt mixture F-T damage |
| 3.1.2. 4. Effect factors of freeze thaw performance of asphalt mixture. |
| 3.1.2. 5. Improvement of freeze thaw resistance of asphalt mixture. |
| 3.1.3. Summary and outlook |
| 3.2. Long-life rigid pavement and concrete durability |
| 3.2.1. Long-life cement concrete pavement |
| 3.2.1. 1. Continuous reinforced concrete pavement. |
| 3.2.1. 2. Fiber reinforced concrete pavement. |
| 3.2.1. 3. Two-lift concrete pavement. |
| 3.2.2. Design,construction and performance of CRCP |
| 3.2.2. 1. CRCP distress and its mechanism. |
| 3.2.2. 2. The importance of crack pattern on CRCP performance. |
| 3.2.2. 3. Corrosion of longitudinal steel. |
| 3.2.2. 4. AC+CRCP composite pavement. |
| 3.2.2. 5. CRCP maintenance and rehabilitation. |
| 3.2.3. Durability of the cementitious materials in concrete pavement |
| 3.2.3. 1. Deterioration mechanism of sulfate attack and its in-fluence on concrete pavement. |
| 3.2.3. 2. Development of alkali-aggregate reaction in concrete pavement. |
| 3.2.3. 3. Influence of freeze-thaw cycles on concrete pavement. |
| 3.2.4. Summary and outlook |
| 3.3. Novel polymer pavement materials |
| 3.3.1. Designable PU material |
| 3.3.1. 1. PU binder. |
| 3.3.1.2.PU mixture. |
| 3.3.1. 3. Material genome design. |
| 3.3.2. Novel polymer bridge deck pavement material |
| 3.3.2. 1. Requirements for the bridge deck pavement material. |
| 3.3.2.2.Polyurethane bridge deck pavement material(PUBDPM). |
| 3.3.3. PU permeable pavement |
| 3.3.3. 1. Permeable pavement. |
| 3.3.3. 2. PU porous pavement materials. |
| 3.3.3. 3. Hydraulic properties of PU permeable pavement materials. |
| 3.3.3. 4. Mechanical properties of PU permeable pavement ma-terials. |
| 3.3.3. 5. Environmental advantages of PU permeable pavement materials. |
| 3.3.4. Polyurethane-based asphalt modifier |
| 3.3.4. 1. Chemical and genetic characteristics of bitumen and polyurethane-based modifier. |
| 3.3.4. 2. The performance and modification mechanism of polyurethane modified bitumen. |
| 3.3.4. 3. The performance of polyurethane modified asphalt mixture. |
| 3.3.4. 4. Environmental and economic assessment of poly-urethane modified asphalt. |
| 3.3.5. Summary and outlook |
| 3.4. Reinforcement materials for road base/subrgrade |
| 3.4.1. Flowable solidified fill |
| 3.4.1. 1. Material composition design. |
| 3.4.1. 2. Performance control. |
| 3.4.1. 3. Curing mechanism. |
| 3.4.1. 4. Construction applications. |
| 3.4.1.5.Environmental impact assessment. |
| 3.4.1. 6. Development prospects and challenges. |
| 3.4.2. Stabilization materials for problematic soil subgrades |
| 3.4.2.1.Stabilization materials for loess. |
| 3.4.2. 2. Stabilization materials for expansive soil. |
| 3.4.2. 3. Stabilization materials for saline soils. |
| 3.4.2. 4. Stabilization materials for soft soils. |
| 3.4.3. Geogrids in base course reinforcement |
| 3.4.3. 1. Assessment methods for evaluating geogrid reinforce-ment in flexible pavements. |
| (1) Reinforced granular material |
| (2) Reinforced granular base course |
| 3.4.3. 2. Summary. |
| 3.4.4. Summary and outlook |
| 4. Multi-scale mechanics |
| 4.1. Interface |
| 4.1.1. Multi-scale evaluation method of interfacial interaction between asphalt binder and mineral aggregate |
| 4.1.1. 1. Molecular dynamics simulation of asphalt adsorption behavior on mineral aggregate surface. |
| 4.1.1. 2. Experimental study on absorption behavior of asphalt on aggregate surface. |
| 4.1.1. 3. Research on evaluation method of interaction between asphalt and mineral powder. |
| (1) Rheological mechanical method |
| (2) Microscopic test |
| 4.1.1. 4. Study on evaluation method of interaction between asphalt and aggregate. |
| 4.1.2. Multi-scale numerical simulation method considering interface effect |
| 4.1.2. 1. Multi-scale effect of interface. |
| 4.1.2. 2. Study on performance of asphalt mixture based on micro nano scale testing technology. |
| 4.1.2. 3. Study on the interface between asphalt and aggregate based on molecular dynamics. |
| 4.1.2. 4. Study on performance of asphalt mixture based on meso-mechanics. |
| 4.1.2. 5. Mesoscopic numerical simulation test of asphalt mixture. |
| 4.1.3. Multi-scale investigation on interface deterioration |
| 4.1.4. Summary and outlook |
| 4.2. Multi-scales and numerical methods in pavement engineering |
| 4.2.1. Asphalt pavement multi-scale system |
| 4.2.1. 1. Multi-scale definitions from literatures. |
| 4.2.1. 2. A newly-proposed Asphalt Pavement Multi-scale System. |
| (1) Structure-scale |
| (2) Mixture-scale |
| (3) Material-scale |
| 4.2.1. 3. Research Ideas in the newly-proposed multi-scale sys- |
| 4.2.2. Multi-scale modeling methods |
| 4.2.2. 1. Density functional theory (DFT) calculations. |
| 4.2.2. 2. Molecular dynamics (MD) simulations. |
| 4.2.2. 3. Composite micromechanics methods. |
| 4.2.2. 4. Finite element method (FEM) simulations. |
| 4.2.2. 5. Discrete element method (DEM) simulations. |
| 4.2.3. Cross-scale modeling methods |
| 4.2.3. 1. Mechanism of cross-scale calculation. |
| 4.2.3. 2. Multi-scale FEM method. |
| 4.2.3. 3. FEM-DEM coupling method. |
| 4.2.3. 4. NMM family methods. |
| 4.2.4. Summary and outlook |
| 4.3. Pavement mechanics and analysis |
| 4.3.1. Constructive methods to pavement response analysis |
| 4.3.1. 1. Viscoelastic constructive models. |
| 4.3.1. 2. Anisotropy and its characterization. |
| 4.3.1. 3. Mathematical methods to asphalt pavement response. |
| 4.3.2. Finite element modeling for analyses of pavement mechanics |
| 4.3.2. 1. Geometrical dimension of the FE models. |
| 4.3.2. 2. Constitutive models of pavement materials. |
| 4.3.2. 3. Variability of material property along with different directions. |
| 4.3.2. 4. Loading patterns of FE models. |
| 4.3.2. 5. Interaction between adjacent pavement layers. |
| 4.3.3. Pavement mechanics test and parameter inversion |
| 4.3.3. 1. Nondestructive pavement modulus test. |
| 4.3.3. 2. Pavement structural parameters inversion method. |
| 4.3.4. Summary and outlook |
| 5. Green and sustainable pavement |
| 5.1. Functional pavement |
| 5.1.1. Energy harvesting function |
| 5.1.1. 1. Piezoelectric pavement. |
| 5.1.1. 2. Thermoelectric pavement. |
| 5.1.1. 3. Solar pavement. |
| 5.1.2. Pavement sensing function |
| 5.1.2. 1. Contact sensing device. |
| 5.1.2.2.Lidar based sensing technology. |
| 5.1.2. 3. Perception technology based on image/video stream. |
| 5.1.2. 4. Temperature sensing. |
| 5.1.2. 5. Traffic detection based on ontology perception. |
| 5.1.2. 6. Structural health monitoring based on ontology perception. |
| 5.1.3. Road adaptation and adjustment function |
| 5.1.3. 1. Radiation reflective pavement.Urban heat island effect refers to an increased temperature in urban areas compared to its surrounding rural areas (Fig.68). |
| 5.1.3. 2. Catalytical degradation of vehicle exhaust gases on pavement surface. |
| 5.1.3. 3. Self-healing pavement. |
| 5.1.4. Summary and outlook |
| 5.2. Renewable and sustainable pavement materials |
| 5.2.1. Reclaimed asphalt pavement |
| 5.2.1. 1. Hot recycled mixture technology. |
| 5.2.1. 2. Warm recycled mix asphalt technology. |
| 5.2.1. 3. Cold recycled mixture technology. |
| (1) Strength and performance of cold recycled mixture with asphalt emulsion |
| (2) Variability analysis of asphalt emulsion |
| (3) Future prospect of cold recycled mixture with asphalt emulsion |
| 5.2.2. Solid waste recycling in pavement |
| 5.2.2. 1. Construction and demolition waste. |
| (1) Recycled concrete aggregate |
| (2) Recycled mineral filler |
| 5.2.2. 2. Steel slag. |
| 5.2.2. 3. Waste tire rubber. |
| 5.2.3. Environment impact of pavement material |
| 5.2.3. 1. GHG emission and energy consumption of pavement material. |
| (1) Estimation of GHG emission and energy consumption |
| (2) Challenge and prospect of environment burden estimation |
| 5.2.3. 2. VOC emission of pavement material. |
| (1) Characterization and sources of VOC emission |
| (2) Health injury of VOC emission |
| (3) Inhibition of VOC emission |
| (4) Prospect of VOC emission study |
| 5.2.4. Summary and outlook |
| 6. Intelligent pavement |
| 6.1. Automated pavement defect detection using deep learning |
| 6.1.1. Automated data collection method |
| 6.1.1. 1. Digital camera. |
| 6.1.1.2.3D laser camera. |
| 6.1.1. 3. Structure from motion. |
| 6.1.2. Automated road surface distress detection |
| 6.1.2. 1. Image processing-based method. |
| 6.1.2. 2. Machine learning and deep learning-based methods. |
| 6.1.3. Pavement internal defect detection |
| 6.1.4. Summary and outlook |
| 6.2. Intelligent pavement construction and maintenance |
| 6.2.1. Intelligent pavement construction management |
| 6.2.1. 1. Standardized integration of BIM information resources. |
| 6.2.1. 2. Construction field capturing technologies. |
| 6.2.1. 3. Multi-source spatial data fusion. |
| 6.2.1. 4. Research on schedule management based on BIM. |
| 6.2.1. 5. Application of BIM information management system. |
| 6.2.2. Intelligent compaction technology for asphalt pavement |
| 6.2.2. 1. Weakened IntelliSense of ICT. |
| 6.2.2. 2. Poor adaptability of asphalt pavement compaction index. |
| (1) The construction process of asphalt pavement is affected by many complex factors |
| (2) Difficulty in model calculation caused by jumping vibration of vibrating drum |
| (3) There are challenges to the numerical stability and computational efficiency of the theoretical model |
| 6.2.2. 3. Insufficient research on asphalt mixture in vibratory rolling. |
| 6.2.3. Intelligent pavement maintenance decision-making |
| 6.2.3. 1. Basic functional framework. |
| 6.2.3. 2. Expert experience-based methods. |
| 6.2.3. 3. Priority-based methods. |
| 6.2.3. 4. Mathematical programming-based methods. |
| 6.2.3. 5. New-gen machine learning-based methods. |
| 6.2.4. Summary and outlook |
| (1) Pavement construction management |
| (2) Pavement compaction technology |
| (3) Pavement maintenance decision-making |
| 7. Conclusions |
| Conflict of interest |
（6）西北内陆河流域地下水循环特征与地下水资源评价（论文提纲范文）
| 1 引言 |
| 2 水文地质条件 |
| 2.1 主要含水层 |
| 2.1.1 山麓相、河-湖相新近系、古近系和白垩系含水岩组 |
| 2.1.2 冲湖积相第四系中、下更新统含水组 |
| 2.1.3 冲洪积相第四系中、上更新统含水层 |
| 2.1.4 沙漠相第四系全新统含水层 |
| 2.2 地下水循环 |
| 2.2.1 山区地下水循环 |
| 2.2.2 平原区地下水循环 |
| 2.2.3 沙漠区地下水循环 |
| 2.3 平原区地下水流系统 |
| 3 地下水资源评价与潜力分析 |
| 3.1 资源评价 |
| 3.1.1 评价单元划分与评价方法 |
| 3.1.2 评价结果 |
| 3.2 开采潜力分析 |
| 4 建议 |
| 4.1 开源与节流并举 |
| 4.1.1 加强南疆地区水资源“开源”技术研究 |
| 4.1.2 加强储水构造及地下水库关键技术研究 |
| 4.2 地下水的生态功能与生态需水量评价 |
| 5 结论 |
（7）Genesis of Geothermal Fluid in Typical Geothermal Fields in Western Sichuan, China（论文提纲范文）
| 1 Introduction |
| 2 Geothermal and Geological Settings |
| 3 Materials and Methods |
| 3.1 Hydrogeochemical geothermometer calculations |
| 3.2 Hydrogeochemical modeling |
| 4 Results and Discussion |
| 4.1 Hydrogeochemistry |
| 4.2 Characteristics of hydrogen and oxygen stable isotopes in groundwater |
| 4.3 Water rock mineral balance judgement |
| 4.4 Thermal storage temperature |
| 4.4.1 Geothermometric applications |
| 4.4.2 Silicon-enthalpy model |
| 4.5 Thermal cycle depth calculation |
| 4.6 Cooling process of the geothermal fluid |
| 5 Conclusions |
（8）降雨入渗触发非饱和煤矸石堆积边坡失稳的机理研究（论文提纲范文）
| 摘要 |
| Abstract |
| LIST OF ABBREVIATIONS |
| CHAPTER 1 Introduction |
| 1.1 Concept of slope failure |
| 1.2 Mechanism of slope instability and types of failures |
| 1.3 Factors affecting slope failure |
| 1.4 Background of study |
| 1.5 Problem statement and content of research |
| 1.6 Research route model |
| CHAPTER 2 Concepts and methods in soil slope failure analysis |
| 2.1 Unsaturated soil mechanics |
| 2.2 Stability of Slope |
| 2.3 Permeability |
| 2.3.1 Applications of permeability in slope engineering |
| 2.3.2 Permeability usage |
| 2.4 Hydraulic conductivity (K) |
| 2.4.1 Darcy’s Law |
| 2.4.2 Permeability test (Constant-Head) |
| 2.4.3 Permeability test (Falling-Head) |
| 2.5 LEM for analyzing slope stability |
| 2.6 Finite element method (FEM) |
| 2.7 Slope reinforcement techniques |
| CHAPTER 3 Engineering Geological conditions of coal gangue accumulated landslide |
| 3.1 Geography |
| 3.2 Hydrometeorological conditions |
| 3.3 Geology |
| 3.3.1 Stratigraphic distribution |
| 3.4 Characteristics of Landslide |
| CHAPTER 4 Numerical simulations of landslide by considering rainfall infiltration as atriggering factor |
| 4.1 Methodology |
| 4.1.1 Testing of soil properties |
| 4.1.2 Numerical simulations by finite element method (FEM) |
| 4.1.3 Governing equations |
| 4.2 Results |
| 4.2.1 Pore-water pressure |
| 4.2.2 Strain generation |
| 4.2.3 Response of deformation |
| 4.2.4 Safety factor |
| 4.3 Discussion |
| 4.3.1 Influence of rainfall infiltration in the change of pore-water pressure |
| 4.3.2 Mechanism in the distribution of strain |
| 4.3.3 Effect of rainfall infiltration process on deformation response |
| 4.3.4 Influence of rainfall infiltration process on safety factor |
| CHAPTER 5 Control scheme and stabilization of landslide |
| 5.1 Introduction |
| 5.2 Control scheme for Landslide |
| 5.2.1 Horizontal drainage in landslide |
| 5.2.2 Main components of drainage design |
| 5.3 Stabilization of Landslide |
| 5.3.1 Ground Anchorages |
| 5.3.2 Piles |
| 5.3.3 Anchorages and beam coupled with piles stabilization |
| CHAPTER 6 Conclusions and Recommendations |
| 6.1 Conclusions |
| 6.2 Recommendations |
| LITERATURE CITED |
| Self Introduction and Scientific Research Achievements During Master Degree |
| ACKNOWLEDGEMENTS |
（9）Grain size characteristics and genesis of the Muxing loess in the Muling-Xingkai Plain, Northeast China（论文提纲范文）
| Introduction |
| 1 Study area |
| 2 Materials and methods |
| 2.1 Lithology |
| 2.2 Sampling and measurement |
| 2.3 Particle size analysis |
| 3 Result analysis and cause discussion |
| 3.1 The particle size composition of loess |
| 3.2 The frequency curve |
| 3.3 The grain size parameters |
| 3.4 C-M diagram |
| 3.5 Discriminant function |
| 3.6 The genesis of Muxing loess |
| 4 Conclusions |
四、INSTITUTE OF HYDROGEOLOGY AND ENGINEERING GEOLOGY——ACHIEVEMENTS OF RESEARCH（论文参考文献）
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- [2]New innovations in pavement materials and engineering:A review on pavement engineering research 2021[J]. JTTE Editorial Office,Jiaqi Chen,Hancheng Dan,Yongjie Ding,Yangming Gao,Meng Guo,Shuaicheng Guo,Bingye Han,Bin Hong,Yue Hou,Chichun Hu,Jing Hu,Ju Huyan,Jiwang Jiang,Wei Jiang,Cheng Li,Pengfei Liu,Yu Liu,Zhuangzhuang Liu,Guoyang Lu,Jian Ouyang,Xin Qu,Dongya Ren,Chao Wang,Chaohui Wang,Dawei Wang,Di Wang,Hainian Wang,Haopeng Wang,Yue Xiao,Chao Xing,Huining Xu,Yu Yan,Xu Yang,Lingyun You,Zhanping You,Bin Yu,Huayang Yu,Huanan Yu,Henglong Zhang,Jizhe Zhang,Changhong Zhou,Changjun Zhou,Xingyi Zhu. Journal of Traffic and Transportation Engineering（English Edition）, 2021
- [3]岩体力学发展的一些回顾与若干未解之百年问题[J]. 赵阳升. 岩石力学与工程学报, 2021(07)
- [4]Major contribution to carbon neutrality by China’s geosciences and geological technologies[J]. Yao Wang,Chi-hui Guo,Shu-rong Zhuang,Xi-jie Chen,Li-qiong Jia,Ze-yu Chen,Zi-long Xia,Zhen Wu. China Geology, 2021(02)
- [5]Institute of Geology and Geophysics, Chinese Academy of Sciences——The time-space exploration from Earth core to galaxies[J]. Wei Zhang,Weijie Zhao,Liang Zhao. National Science Review, 2021(06)
- [6]西北内陆河流域地下水循环特征与地下水资源评价[J]. 尹立河,张俊,王哲,董佳秋,常亮,李春燕,张鹏伟,顾小凡,聂振龙. 中国地质, 2021(04)
- [7]Genesis of Geothermal Fluid in Typical Geothermal Fields in Western Sichuan, China[J]. ZHAO Jiayi,WANG Guiling,ZHANG Cuiyun,XING Linxiao,LI Man,ZHANG Wei. Acta Geologica Sinica（English Edition）, 2021(03)
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- [10]Evaluation of shallow geothermal energy resources in the Beijing-Tianjin-Hebei Plain based on land use[J]. Ruo-xi Yuan,Gui-ling Wang,Feng Liu,Wei Zhang,Wan-li Wang,Sheng-wei Cao. Journal of Groundwater Science and Engineering, 2021(02)
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