3篇
您的检索式：作者名="Tianshu Bao"
|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Effects of water saturation and loading rate on direct shear tests of andesite显示文摘For estimating the long-term stability of underground framework,it is vital to learn the mechanical and rheological characteristics of rock in multiple water saturation conditions.However,the majority of previous studies explored the rheological properties of rock in air-dried and water saturated conditions,as well as the water effects on compressive and tensile strengths.In this study,andesite was subjected to direct shear tests under five water saturation conditions,which were controlled by varying the wetting and drying time.The tests were conducted at alternating displacement rates under three vertical stresses.The results reveal that the shear strength decreases exponentially as water saturation increases,and that the increase in shear strength with a tenfold increase in displacement rate is nearly constant for each of the vertical stresses.Based on the findings of the shear tests in this study and the compression and tension tests in previous studies,the influences of both water saturation and loading rate on the Hoek-Brown failure criterion for the andesite was examined.These results indicate that the brittleness index of the andesite,which is defined as the ratio of uniaxial compressive strength to tensile strength,is independent of both water saturation and loading rate and that the influences of the water saturation dependence and the loading rate dependence of the failure criterion can be converted between each other. | Tianshu Bao Kimihiro Hashiba Katsunori Fukui | 2022 | Journal of Rock Mechanics and Geotechnical Engineering2022，14，2： | 2 |
| 2 | In-situ generation of gold nanoparticles on MnO_2 nanosheets for the enhanced oxidative degradation of basic dye(Methylene Blue)显示文摘In this work,the gold nanoparticles(Au-NPs)were in-situ generated on the surface of MnO_2nanosheets to form MnO_2/Au-NPs nanocomposite in a simple and cost-effective way.Multiple experiments were carried out to optimize the oxidation of basic dye(Methylene Blue(MB)),including the molar ratio of MnO_2to chloroauric acid(HAu Cl_4),the p H of the solution and the effect of initial material.Under the optimal condition,the highest degradation efficiency for MB achieved to 98.9%within 60 min,which was obviously better than commercial MnO_2powders(4.3%)and MnO_2nanosheets(74.2%).The enhanced oxidative degradation might attribute to the in-situ generation of ultra-small and highly-dispersed Au-NPs which enlarged the synergistic effect and/or interfacial effect between MnO_2nanosheets and Au-NPs and facilitated the uptake of electrons by MnO_2from MB during the oxidation,thus validating the application of MnO_2/Au-NPs nanocomposite for direct removal of organic dyes from wastewater in a simple and convenient fashion. | Xueqin Bao Zhen Qin Tianshu Zhou Jingjing Deng | 2018 | Journal of Environmental Sciences2018，30，3： | 1 |
| 3 | DeepOCL:A deep neural network for Object Constraint Language generation from unrestricted nature language显示文摘Object Constraint Language(OCL)is one kind of lightweight formal specification,which is widely used for software verification and validation in NASA and Object Management Group projects.Although OCL provides a simple expressive syntax,it is hard for the developers to write correctly due to lacking knowledge of the mathematical foundations of the first-order logic,which is approximately half accurate at the first stage of devel-opment.A deep neural network named DeepOCL is proposed,which takes the unre-stricted natural language as inputs and automatically outputs the best-scored OCL candidates without requiring a domain conceptual model that is compulsively required in existing rule-based generation approaches.To demonstrate the validity of our proposed approach,ablation experiments were conducted on a new sentence-aligned dataset named OCLPairs.The experiments show that the proposed DeepOCL can achieve state of the art for OCL statement generation,scored 74.30 on BLEU,and greatly outperformed experienced developers by 35.19%.The proposed approach is the first deep learning approach to generate the OCL expression from the natural language.It can be further developed as a CASE tool for the software industry. | Yilong Yang Yibo Liu Tianshu Bao Weiru Wang Nan Niu Yongfeng Yin | 2024 | CAAI Transactions on Intelligence Technology2024，9，1： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员