Article
Chemistry, Multidisciplinary
Mingwei Li, Zhifang Zhou, Meng Chen, Jian Wu
Summary: Studying the topological characteristics of fractured rock mass can help estimate the topological representative element volume (TREV) and accurately calculate the permeability representative element volume (PREV), simplifying the seepage calculation process.
APPLIED SCIENCES-BASEL
(2022)
Article
Engineering, Geological
Yihao Liang, Ziteng Jiang, Qingchun Yu
Summary: The existence of a hydraulic conductivity representative elementary volume (KREV) in fractured rock masses is influenced by fracture density and persistence. A high fracture density and persistence increase the likelihood of a KREV, with size depending on the fracture spacing.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
(2023)
Article
Engineering, Geological
Zheng-Wei Li, Chuan-Yuan Huang, Hai-Xi Wang, Shi-Cheng Xing, Meng-Cheng Long, Yuan Liu
Summary: This study presents a method to determine the representative element volume (REV) of heat transfer and the 3D thermal conductivity tensor of fractured rock masses. The method is based on element-wise averaging of temperature and heat flux obtained from a finite element solution to a steady-state heat transfer problem. A case study based on geological data from a potential area for high-level radioactive waste disposal in China was conducted, which revealed the size of the heat transfer REV and investigated the influences of main fracture parameters on the heat transfer characteristics.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
(2023)
Article
Computer Science, Interdisciplinary Applications
Qiuyu Wang, Lili Zhang, Qingchun Yu, Haoran Li
Summary: This article introduces an analytical procedure for determining the existence of hydraulic conductivity representative elementary volume (KREV) in fractured rock masses. The proposed approach is applied to the case study of fractured rocks surrounding the Three Gorges Project. The results show that most fractures have certain aperture and follow a lognormal distribution.
COMPUTERS AND GEOTECHNICS
(2023)
Article
Computer Science, Interdisciplinary Applications
Jaspreet Singh, Sarada Prasad Pradhan, Mahendra Singh, Bingxiang Yuan
Summary: The study investigated the characteristics of block size and shape in fractured rocks, proposed a modified method for block shape classification, validated its applicability, and compared it with the existing method. The results showed that the modified method provided more accurate block classification.
COMPUTERS & GEOSCIENCES
(2022)
Article
Engineering, Environmental
Wei Li, Zhechao Wang, Liping Qiao, Jinjin Yang, Jiajia Li
Summary: The study investigates the size effect on surface morphology and permeability of rock fractures. The representative elementary surface size for fracture surface roughness is 300-400 mm, while for fracture permeability it is less than 100 mm.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
(2023)
Article
Energy & Fuels
Yabing Zhang, Xinrui Liu, Pengshuang Guo, Peng Jia, Tianhong Yang, Fengyu Ren
Summary: In this research, a 3D bonded block model (BBM) is used to quantify the strength and permeability of fractured rock mass numerically. The study demonstrates that the numerical models converge with the Hoek-Brown strength criterion only when simulating steep and less persistent fractures. Additionally, it is found that the permeability is positively related to the strength for impermeable rock masses in the pre-peak loading stage.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
(2022)
Article
Environmental Sciences
Aboubacar Sidiki Koulibaly, Alireza Shahbazi, Ali Saeidi, Alain Rouleau, Marco Quirion, Romain Chesnaux
Summary: The shape, volume, and distribution of rock blocks are important factors in the behavior of rock masses in engineering works. Existing analytical methods have limitations in determining in-situ rock block volume. Numerical models provide more reliable estimates but require specialized knowledge. Improving existing analytical methods or developing more accessible methods are more realistic approaches for better estimates of rock block volumes.
ENVIRONMENTAL EARTH SCIENCES
(2023)
Article
Energy & Fuels
Wei Liu, Dongyang Han, Gang Wang, Xiangyu Chu
Summary: CT scanning is an essential tool for evaluating coal microstructure, providing non-destructive quantization and visualization. By analyzing the representative elementary volume (REV) of coal samples, a relationship between model sizes and pore structure properties has been established. The comprehensive evaluation of REV improves the rationality and reliability of coal microstructure reconstruction.
Article
Geosciences, Multidisciplinary
Tiantian Ma, Lu Xia
Summary: This study focuses on the influence of fracture size and dispersion on the blockiness level and REV of rock masses. Experimental and numerical simulations were conducted, and a formula to calculate blockiness considering the dispersion of fracture size was obtained. The results show that the blockiness level is determined by the fracture size rather than the degree of dispersion, and there is a positive linear correlation between B and the coefficient of variation of fracture size.
FRONTIERS IN EARTH SCIENCE
(2023)
Article
Engineering, Geological
Zheng-Wei Li, Yuan Liu, Shi-Ming Mei, Shi-Cheng Xing, Xiao-Kai Wang
Summary: In this study, the effective thermal conductivity of fractured rock masses was numerically investigated, revealing a relationship between lambda(Eff) and fracture parameters that can be fitted with power law or negative exponent functions. It was also found that lambda(Eff) is linearly positively correlated with lambda(Intact), with the slope of the fitted line determined by fracture network parameters.
ROCK MECHANICS AND ROCK ENGINEERING
(2021)
Article
Engineering, Geological
Zhao Wang, Tiehang Wang, Weiqin Wang, Zongxian Zhang
Summary: This paper presents a numerical procedure to determine the size of the representative elementary volume (REV) in intact rocks using a polygonal grain-based model. The study found that the REV size is influenced by the mineral volume fraction, mechanical properties, geometric heterogeneity, and can vary for different properties. The results indicate that the REV size for compressive strength has a positive dependence on heterogeneity index and slightly decreases with an increase in volume fraction of biotite.
Article
Energy & Fuels
Yufang Xue, Zhongxian Cai, Heng Zhang, Qingbing Liu, Lanpu Chen, Jiyuan Gao, Fangjie Hu
Summary: Predicting the petrophysical properties of carbonate reservoirs is challenging due to their heterogeneity and complex pore systems. This study analyzed 26 samples of vuggy dolostones and identified four types of pore systems. The heterogeneity of the carbonate reservoirs was quantitatively evaluated, and it was found that different pore systems result in variable porosities, pore structures, and heterogeneity. The study also discovered that the REV sizes of vuggy dolostones are commonly larger than traditional core plugs. A new model was established to effectively predict REV sizes based on quantitative parameters, and the results provide valuable insights into accurately evaluating the petrophysical properties of vuggy carbonate reservoirs.
Article
Engineering, Environmental
Ke Zhang, Feifei Qi, Rui Bao, Jianbin Xie
Summary: The integration of 3D printing and water-soluble casting is presented for preparation of rock-model specimens containing complex fracture networks. The methodology has distinct advantages for replicating rocks with accurate fracture networks, repeatable mechanical properties, high strength, and brittleness of rock matrices. Nonlinear mechanical responses, including strain-softening and anisotropy, are observed due to the presence of complex fracture geometries in the fractured rock-model specimens.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
(2021)
Article
Engineering, Civil
Zhennan He, Fachun Liang, Jia Meng, Naiming Li
Summary: This paper investigates the migration characteristics and REV variation of LNAPL under dynamic groundwater conditions. The results indicate that the redistribution of residual pollutants is mainly influenced by the fluctuation sequence. The REV decreases as the water table rises, and the frequency distribution of the minimum So-REV becomes closer to a normal distribution. These findings provide valuable guidance for designing remediation schemes.
JOURNAL OF HYDROLOGY
(2022)
Article
Computer Science, Interdisciplinary Applications
Zheng Yinhe, Xia Lu, Yu Qingchun
COMPUTERS AND GEOTECHNICS
(2015)
Article
Engineering, Geological
Yinhe Zheng, Lu Xia, Qingchun Yu
CANADIAN GEOTECHNICAL JOURNAL
(2016)
Article
Engineering, Geological
Yinhe Zheng, Lu Xia, Qingchun Yu
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
(2016)
Article
Engineering, Geological
Yinhe Zheng, Lu Xia, Qingchun Yu
INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS
(2019)
Article
Construction & Building Technology
Yinhe Zheng, Lu Xia, Qingchun Yu
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2019)
Proceedings Paper
Computer Science, Artificial Intelligence
Yingxiu Zhao, Zhiliang Tian, Huaxiu Yao, Yinhe Zheng, Dongkyu Lee, Yiping Song, Jian Sun, Nevin L. Zhang
Summary: Building models of natural language processing in low-resource scenarios is challenging. Optimization-based meta-learning algorithms achieve promising results by adapting a well-generalized model initialization to handle new tasks. However, these approaches suffer from the issue of memorization overfitting. To address this issue, we propose a memory imitation meta-learning method that enhances the model's reliance on support sets for task adaptation.
PROCEEDINGS OF THE 60TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2022), VOL 1: (LONG PAPERS)
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Wanwei He, Yinpei Dai, Yinhe Zheng, Yuchuan Wu, Zheng Cao, Dermot Liu, Peng Jiang, Min Yang, Fei Huang, Luo Si, Jian Sun, Yongbin Li
Summary: In this paper, a novel pre-trained dialog model called GALAXY is proposed, which learns dialog policy from limited labeled dialogs and large-scale unlabeled dialog corpora via semi-supervised learning. Empirical results show that GALAXY substantially improves the performance of task-oriented dialog systems and achieves new state-of-the-art results on benchmark datasets.
THIRTY-SIXTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FOURTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE / TWELVETH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Siyang Liu, Sahand Sabour, Yinhe Zheng, Pei Ke, Xiaoyan Zhu, Minlie Huang
Summary: Distinct-n score is a widely used automatic metric for evaluating diversity in language generation tasks. However, the original approach has biases that tend to assign higher penalties to longer sequences. We propose a method that effectively removes these biases and correlates better with human judgment.
PROCEEDINGS OF THE 60TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2022): (SHORT PAPERS), VOL 2
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Chen Henry Wu, Yinhe Zheng, Xiaoxi Mao, Minlie Huang
Summary: The study introduces the grounded minimal editing framework to address transferability challenges in dialogue models, showing significant improvements in persona consistency while maintaining the use of knowledge and empathy. Competitive baselines are outperformed by the proposed Grounded Minimal Editor (GME) according to experimental results on the PERSONAMI-NEDIT dataset and BLEND-EDSKILLTALK test set.
2021 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING (EMNLP 2021)
(2021)
Proceedings Paper
Computer Science, Artificial Intelligence
Yida Wang, Yinhe Zheng, Yong Jiang, Minlie Huang
Summary: The paper introduces an Adaptive Label Smoothing (AdaLabel) approach, which can adaptively estimate target label distribution based on different dialog contexts, improving the generation diversity of responses.
59TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS AND THE 11TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING (ACL-IJCNLP 2021), VOL 1
(2021)
Article
Computer Science, Artificial Intelligence
Jiyang Xie, Zhanyu Ma, Jing-Hao Xue, Guoqiang Zhang, Jian Sun, Yinhe Zheng, Jun Guo
Summary: This paper introduces a DS-UI framework that combines DNN classifier with MoGMM to enhance Bayesian estimation-based UI in image recognition. The DS-UI improves image recognition accuracy by directly calculating probabilities, and proposes a dual-supervised stochastic gradient-based variational Bayes algorithm for optimization.
IEEE TRANSACTIONS ON IMAGE PROCESSING
(2021)
Proceedings Paper
Computer Science, Artificial Intelligence
Yinhe Zheng, Zikai Chen, Rongsheng Zhang, Shilei Huang, Xiaoxi Mao, Minlie Huang
Summary: This study proposes a stylized dialogue generation method that can capture stylistic features embedded in unpaired texts, which outperforms competitive baselines in producing coherent and style-intensive dialogue responses through joint training with an inverse dialogue model and stylized pseudo dialogue pairs.
THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE
(2021)
Proceedings Paper
Computer Science, Artificial Intelligence
Yinhe Zheng, Rongsheng Zhang, Xiaoxi Mao, Minlie Huang
THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE
(2020)
Article
Acoustics
Yinhe Zheng, Guanyi Chen, Minlie Huang
IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING
(2020)
Article
Computer Science, Interdisciplinary Applications
Yinghao Deng, Yang Xia, Di Wang, Yan Jin
Summary: This study investigates the mechanism of hydraulic fracture propagation in laminated shale, develops a numerical solver, and validates the effectiveness of the method through simulation experiments. The study also examines the influence of the interaction between hydraulic fractures and weak interfaces on the mechanical properties of shale.
COMPUTERS AND GEOTECHNICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Zhichao Zhang, Mingfei Feng, Guangshuo Zhou, Zhenglong Xu
Summary: A thermodynamic constitutive model for structured and destructured clays is proposed in this paper. The model includes state-dependent relations of hyperelasticity and plasticity without the concept of yielding surface. The proposed model captures the couplings between elasticity and plasticity and the effects of bonding structure.
COMPUTERS AND GEOTECHNICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Deze Yang, Xihua Chu
Summary: Creep and stress relaxation behaviors in granular materials are influenced by the time-dependent changes in their microstructure, with particle shape playing a significant role. However, the effects of particle shape on these behaviors are still not well understood. In this study, 3D DEM models incorporating the rate process theory and superellipsoids are used to simulate creep and stress relaxation in granular samples with different aspect ratios and blockiness. The results show that both aspect ratio and blockiness have a significant influence on creep and stress relaxation, with aspect ratio affecting creep through contact force ratio and blockiness affecting stress relaxation through variation in normal contact force anisotropy. These findings provide insights into the effects of particle shape on creep and stress relaxation in granular assemblies.
COMPUTERS AND GEOTECHNICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Shahab Amanat, Kourosh Gholami, Reza Rafiee-Dehkharghani, Dipanshu Bansal
Summary: This paper investigates the optimal design of wave barriers using the modified non-dominated sorting genetic algorithm-II (NSGA-II) and the Bloch-Floquet theory. The aim is to find the optimal design of plane wave barriers with a wide bandgap at a low-frequency range and low construction cost. The study develops a modified NSGA-II algorithm to determine the optimal arrangement of concrete in wave barrier unit cells. The performance of the optimal barriers is examined through finite element simulation and their efficacy in attenuating plane S-waves is verified.
COMPUTERS AND GEOTECHNICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Yanlin Su, Guoqing Cai, Fengjie Yin, Yepeng Shan, Annan Zhou
Summary: This paper presents a novel elastic-viscoplastic constitutive model that takes into account particle breakage to reproduce the time-dependent behavior of coarse-grained soil. The model integrates the Unified Hardening (UH) model, the elastic-viscoplastic (EVP) model, and the overstress theory. The relationship between particle breakage and loading rate is established, and state variables associated with the critical state of coarse-grained soil are derived to consider both time and particle breakage. A three-dimensional elastic-viscoplastic constitutive model is constructed by combining a one-dimensional viscoplastic hardening parameter with a secondary consolidation coefficient considering particle breakage. The proposed model requires 19 parameters and effectively describes the influence of time-dependency and particle breakage on the shear, dilatancy, and compression behaviors of coarse-grained soil with different confining pressures or initial void ratios. Experimental data comparisons validate the model's ability to replicate the time-dependent behavior of coarse-grained soil.
COMPUTERS AND GEOTECHNICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Shichao Zhang, Yaqiong Wang, Qidong Gao, Xiaobo Ma, Haixiao Zhou, Zhifeng Wang
Summary: Accurately evaluating and predicting ground settlement during tunnel excavation is essential for ensuring tunnel stability. This study conducted a probabilistic analysis of ground settlement under uncertain soil properties. The results demonstrate that spatially variable soils significantly influence the ground settlement in the vertical direction.
COMPUTERS AND GEOTECHNICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Xu Zhang, Bin Luo, Youjun Xu, Zhiwen Yang
Summary: This paper presents an analytical solution for horizontal displacements induced by small radius curve shield tunneling. The formula is derived based on the image method and Mindlin solution, considering additional thrust, frictional resistance, ground loss, and grouting pressure. The solution is validated with on-site data, demonstrating its reliability and providing a new approach for predicting and controlling stratum horizontal displacements in curve shield tunneling. The study finds that ground loss has the most significant influence on displacements, and soil closer to the tunnel exhibits larger horizontal displacements.
COMPUTERS AND GEOTECHNICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Jian-Hong Wan, Ali Zaoui
Summary: Ground vibrations during earthquakes can cause soil strength loss and structural damage. Rubber-soil mixtures (RSM) have shown promise in reducing residual ground deformation. This study used molecular dynamics simulations to investigate the friction behavior of the rubber-clay interface in RSM systems. The results revealed a direct correlation between normal stress and friction force, with denser soil systems exhibiting higher friction forces.
COMPUTERS AND GEOTECHNICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Hongying Wang, Qiang Zhang, Peinan Wu, Yanjing Li, Lijun Han, Guilei Han
Summary: In addition to the Mohr-Coulomb and Hoek-Brown criteria, other nonlinear functions are used to describe the plastic response of rock mass. This paper derived the equivalent cohesive strength, frictional angle, and dilatancy angle for nonlinear yield and plastic flow rock masses. The solution for a circular tunnel in any nonlinear yield and plastic flow rock masses was derived and verified using a numerical procedure. The analysis of strain-softening rock masses under two assumed nonlinear yield criteria was also studied.
COMPUTERS AND GEOTECHNICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Zhijun Wu, You Wu, Lei Weng, Mengyi Li, Zhiyang Wang, Zhaofei Chu
Summary: This study proposed a machine learning approach to predict the uniaxial compression strength (UCS) and elastic modulus (E) of rocks. By measuring meso-mechanical parameters and developing grain-based models, a database with 225 groups of data was established for prediction models. The optimized kernel ridge regression (KRR) and gaussian process regression (GPR) models achieved excellent performance in predicting UCS and E.
COMPUTERS AND GEOTECHNICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Mingjun Zhou, Zhenming Shi, Chong Peng, Ming Peng, Kahlil Fredrick E. Cui, Bo Li, Limin Zhang, Gordon G. D. Zhou
Summary: In this paper, the erosion and deposition processes during overtopping dam breaching are simulated using a novel method (ED-SPH). The proposed model is able to capture the complex behaviors of dam soil erosion, entrainment, and depositions. Soil deposition hinders particle movement and reduces water velocity at the water-soil interface.
COMPUTERS AND GEOTECHNICS
(2024)
Article
Computer Science, Interdisciplinary Applications
C. Chavez-Negrete, F. J. Dominguez-Mota, R. Roman-Gutierrez
Summary: To accurately simulate groundwater flow in porous layered media, it is important to consider all environmental factors and use a generalized finite differences scheme as a meshless method for spatial discretization. This approach ensures robustness and accuracy of the numerical solution.
COMPUTERS AND GEOTECHNICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Shuairun Zhu, Lulu Zhang, Lizhou Wu, Lin Tan, Haolong Chen
Summary: This paper investigates the effectiveness of the cascadic multigrid method applied to the improved Picard iteration method for solving nonlinear problems in deforming variably saturated porous media. Two improved Picard iteration methods are proposed, and their effectiveness is verified through numerical examples. The results show that the improved methods have faster convergence and higher computational efficiency compared to the classical method.
COMPUTERS AND GEOTECHNICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Yuan Cao, Yan-Guo Zhou, Kyohei Ueda, Yun-Min Chen
Summary: Investigated shear stress responses of enclosed soil in deep soil mixing (DSM) grid-improved ground, and revealed the characteristics of the waist effect and mathematical model for shear stress reduction ratio.
COMPUTERS AND GEOTECHNICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Jinfan Chen, Zhihong Zhao, Jintong Zhang
Summary: This study develops data-driven criteria to estimate the peak shear strength (PSS) of rock fractures, considering the effects of surface roughness features. A high-quality dataset is created using particle-based discrete element method and diamond-square algorithm. Tree-based models and convolutional neural network are trained to predict the PSS of rock fractures, and their reliability is verified using experimental data.
COMPUTERS AND GEOTECHNICS
(2024)