Article
Engineering, Geological
Biao Hu, Quanmei Gong, Yueqiang Zhang, Yihe Yin, Wenjun Chen
Summary: This paper presents a Bayesian updating framework to characterize uncertainties in geotechnical design of energy piles. A load-transfer model is developed for predicting the thermomechanical response of energy piles. By establishing a comprehensive database and applying Bayesian updating, the uncertainty of the prediction model is effectively reduced.
Article
Computer Science, Interdisciplinary Applications
Yuting Zhang, Jinsong Huang, Anna Giacomini
Summary: This paper proposes a probabilistic approach based on Bayes' theorem and the First Order Reliability Method (FORM) to calibrate resistance factors for different numbers of load tests and the corresponding test results. The results show that resistance factors are significantly increased even if only one positive test is observed among all the tests. Differences in resistance factors between various design methods are significantly reduced if one or more tests are positive for low variability sites, while for high variability sites, the differences in resistance factors are only slightly decreased, indicating the importance of considering design methods in such cases.
COMPUTERS AND GEOTECHNICS
(2023)
Article
Engineering, Geological
Eduardo Bittar, Barry M. Lehane, Anthony Blake, David Richards, David White, Sam Mahdavi, Benjamin Cerfontaine
Summary: This paper presents the results of field investigations on helical piles, examining the effects of various parameters on their axial tension and compression capacity. It proposes a new design method that shows good predictions of axial capacities and incorporates load-displacement response and installation torque estimation.
CANADIAN GEOTECHNICAL JOURNAL
(2023)
Article
Chemistry, Multidisciplinary
Xiaoya Bian, Jiawei Chen, Xuyong Chen, Zhijun Xu
Summary: This paper studied the influence of setup effects on the reliability-based design of driven piles, proposed an increase factor to modify resistance factor and factor of safety calculation formula, and analyzed the impact of key parameters on the resistance factor and factor of safety. Through this study, it was concluded that considering setup effects in reliability-based design of driven piles will greatly improve the prediction for design capacity.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Civil
Xiaole Dong, Xiaohui Tan, Xin Lin, Xuejuan Zhang, Xiaoliang Hou, Daoxiang Wu
Summary: A reliability analysis method based on proof load-settlement data is proposed in this study, which can accurately estimate the ultimate bearing capacity of piles and analyze their reliability.
GEOMECHANICS AND ENGINEERING
(2022)
Article
Agronomy
Oleksiy Alfyorov, Oleksandr Grynchenko, Victor Ponomarenko, Taras Shchur, Andrzej Tomporowski, Weronika Kruszelnicka, Patrycja Walichnowska
Summary: This study conducted a statistical analysis of the reliability of tillage units with oscillating motion operating devices. The results revealed sudden failures caused by the fracture of elastic struttings in cultivator operating devices. Evaluating the tillage units allowed for determining the impact of load on machine and element designs, providing an opportunity to correct assumed load values.
Article
Construction & Building Technology
Xia Wu, Zhe Tian, Jide Niu, Xiaoyuan Li
Summary: The study investigates the impact of internal disturbances on the reliability assessment of building airconditioning design loads and proposes a hybrid possibilistic-probabilistic stochastic model to reasonably reflect the uncertainties. The results indicate that using probability theory to describe the epistemic uncertainty of internal disturbance parameters may lead to an overestimation of design load reliability.
ENERGY AND BUILDINGS
(2023)
Article
Polymer Science
Pengcheng Liu, Qishi Zhou, Feiyang Fu, Wei Li
Summary: This study conducted bending strength tests and classification on Phyllostachys edulis bamboo, proposing design values based on reliability analysis. The research showed that dividing the bamboo into three levels allows for efficient utilization of resources, and reliability increases with the load ratio and the partial factor for resistance.
Article
Engineering, Multidisciplinary
Yubing Chen, Meilin Wen, Qingyuan Zhang, Rui Kang
Summary: In this paper, a new belief reliability-based design optimization (BRBDO) method is established to handle the impact of epistemic uncertainty on product reliability design optimization. A quantile index is proposed to quantify belief reliability level based on uncertainty theory, and a rapid analysis method called first order belief reliability analysis (FOBRA) is developed. Two types of design optimization models are established according to different trade-off strategies, and corresponding FOBRA-based computation methods are also demonstrated. Several case applications are conducted to verify the effectiveness of the proposed analysis and design optimization methods.
EKSPLOATACJA I NIEZAWODNOSC-MAINTENANCE AND RELIABILITY
(2023)
Article
Chemistry, Multidisciplinary
Hyobin Oh, Hansol Shin, Kyuhyeong Kwag, Pyeongik Hwang, Wook Kim
Summary: The complexity of modern power systems is increasing due to the development of intermittent generators. Reliability evaluations need to consider both conventional generator failures and renewable energy output characteristics, which are increasingly used. The weather-dependent nature of renewable energy highlights the need for a reliability evaluation method that considers temporal characteristics. This paper proposes a deterministic reliability evaluation method based on the Booth-Baleriaux method, which addresses the preventative maintenance schedule of a generator and the characteristics of renewable energy.
APPLIED SCIENCES-BASEL
(2023)
Article
Engineering, Geological
Andrew Rizk, Antonio Kodsy, Magued Iskander, Nikolaos Machairas
Summary: This study explores the efficacy of eight commonly used pile design methods for large-diameter open-ended piles (LDOEPs) using a database of 64 load tests. The results show that cone penetration test (CPT)-based methods are somewhat superior to standard penetration test (SPT) methods, but all methods exhibit scatter between measured and predicted capacities.
JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING
(2022)
Article
Thermodynamics
Hong Chang, Qiqi Wu, Zhengheng Gan, Fengquan Shen
Summary: This study investigates the influence of soil temperature on the bearing capacity of energy piles and proposes an improved exponential model that takes into account the temperature effect. The feasibility of the model is verified through both experimental and numerical approaches. The results show that the improved exponential model has smaller errors compared to the numerical simulation, indicating its suitability for thermo-mechanical coupling analysis.
CASE STUDIES IN THERMAL ENGINEERING
(2023)
Article
Chemistry, Multidisciplinary
Shuang Zhou, Jianguo Zhang, Qingyuan Zhang, Ying Huang, Meilin Wen
Summary: This paper proposes an efficient uncertainty theory-based reliability analysis and design method to address the trade-offs between safety and cost in the early stage of structural design. It introduces the concept of uncertain measure and uses URI to estimate the reliable degree of structure. A URI-based design optimization model (URBDO) is constructed to tackle the problem of insufficient data in reliability analysis.
APPLIED SCIENCES-BASEL
(2022)
Article
Engineering, Multidisciplinary
H. Hassani, S. Khodaygan, A. Ghaderi
Summary: This article proposes a Bayesian reliability-based robust design optimization method that considers both aleatory and epistemic uncertainties. The method formulates the problem as a multi-objective optimization and utilizes specific algorithms for solving. The applicability of this method is demonstrated through case studies and the results are compared and discussed.
ENGINEERING OPTIMIZATION
(2023)
Article
Engineering, Civil
Xianping Du, Binhui Jiang, Feng Zhu
Summary: A new data mining-based design approach has been developed for complex mechanical systems with uncertainty modeling. This method explores crash simulation datasets to design vehicles in a top-down manner and derive design rules for efficient and effective designs. The approach has the potential to be applied as a general design methodology for a wide range of complex structures and mechanical systems.
ENGINEERING STRUCTURES
(2021)
Article
Engineering, Geological
Jie Zhang, Chenguang Wu, Xiaohui Tan, Hongwei Huang
Summary: In this paper, a hierarchical response surface method is proposed to evaluate the reliability of a pile-slope system. The method can determine the minimum reliability indexes of different failure modes and identify the representative failure modes governing the failure probability of the system. The study shows that the critical sliding surfaces of an unreinforced slope and a reinforced slope are different.
CANADIAN GEOTECHNICAL JOURNAL
(2023)
Article
Engineering, Geological
Meng Lu, Jianguo Zheng, Jie Zhang, Hongwei Huang
Summary: This study aims to assess the probability of slope failure induced by rainfall during a given exposure time. It is found that slope failure events in different years are not entirely statistically independent, contrary to the Poisson assumption. The method based on the Poisson assumption tends to overestimate the failure probability of the slope during an exposure time, but it is still quite accurate when the annual failure probability is small and the exposure time is short. Method 1 is theoretically most stringent but computationally most expensive, Method 2 is computationally most efficient when the failure probability is large, and Method 3 is computationally most efficient when the failure probability is small.
Editorial Material
Engineering, Geological
Chuen-Fa Ni, Chih-Chung Chung, Limin Zhang, Yu Wang, Jia-Jyun Dong
ENGINEERING GEOLOGY
(2023)
Article
Engineering, Geological
Lu-Yu Ju, Li-Min Zhang, Te Xiao
Summary: Landslide volume is closely associated with landslide mobility and damage, but direct measurement on-site is challenging. This study uses high-resolution LiDAR-derived digital terrain models to interpret the volumes of 1326 shallow landslides in Hong Kong. New models are proposed to estimate the volumes of small-scale shallow landslides accurately, enhancing landslide risk assessment and management.
ENGINEERING GEOLOGY
(2023)
Article
Computer Science, Interdisciplinary Applications
K. S. Yin, T. Xiao, H. Y. Luo, H. F. Zou, L. M. Zhang
Summary: Deep cement mixing (DCM) is an effective ground improvement technique that involves injecting dry cement or cement slurry into the ground. This study focuses on the spatial variation of unconfined compressive strength (UCS) in DCM clusters in a marine clay area. Variograms and random field modeling were used to analyze the spatial variability and autocorrelation structure of UCS data. The study compares the spatial magnitude, uniformity, and variability of site-wide UCS before and after the construction of DCM clusters.
COMPUTERS AND GEOTECHNICS
(2023)
Article
Geosciences, Multidisciplinary
H. Y. Luo, L. M. Zhang, L. L. Zhang, J. He, K. S. Yin
Summary: Landslides are destructive hazard processes causing significant loss of life and damage to buildings. This review summarizes the progress in assessing building vulnerability to landslides over the past two decades and presents future needs. The review analyzes a literature dataset on vulnerability to landslides, presents building failure mechanisms and damage classification systems, and compares different types of building vulnerability models.
EARTH-SCIENCE REVIEWS
(2023)
Editorial Material
Engineering, Geological
Peng Cui, Manchao He, Paul Tapponnier, Limin Zhang, Zhenhong Li, Wenping Gong, Gordon G. D. Zhou, Jian Guo
ENGINEERING GEOLOGY
(2023)
Article
Engineering, Geological
Te Xiao, Li -Min Zhang
Summary: This study systematically compares the performances of three categories of data-driven methods for landslide prediction and proposes a novel machine learning model that can accurately predict the spatio-temporal evolution of rain-induced landslides. The model is validated against the landslide incidents in Hong Kong in the past 35 years and outperforms other data-driven models in both prediction ability and accuracy.
ENGINEERING GEOLOGY
(2023)
Article
Engineering, Geological
Jian He, Limin Zhang, Te Xiao, Haojie Wang, Hongyu Luo
Summary: In a changing climate, extreme rainstorms become more frequent and intense, causing thousands of landslides and leading to the loss of hundreds of lives. The current landslide emergency management lacks key information on likely consequences, thus this study presents a novel prompt quantitative risk assessment method. The proposed method accurately predicts the number of affected buildings and potential fatalities, contributing to the advancement of landslide emergency management from hazard-informed to risk-informed.
JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING
(2023)
Article
Geosciences, Multidisciplinary
Meng Lu, Jie Zhang, Qing Lue, Lulu Zhang
Summary: Assessing the annual probability of slope failure under rainfall is crucial in quantitative risk assessment. This study proposes a novel method to assess the probability based on intensity-duration-frequency curves. By considering the uncertainty of rainfall duration and simulating the most critical rainfall, it provides a practical tool for quantitative risk assessment of rainfall-induced landslides.
Review
Engineering, Geological
Liang Gao, Limin Zhang, Yang Hong, Hong-Xin Chen, Shi-Jin Feng
Summary: Modelling storm water flows in urban areas is essential for designing coping strategies and making decisions. This study summarises methodologies for simulating flood processes and evaluating flood hazards in urban environment and proposes a framework for urban flood hazard prediction. Multidisciplinary techniques are needed to estimate input data and enhance the efficiency and accuracy of flood evaluation.
GEORISK-ASSESSMENT AND MANAGEMENT OF RISK FOR ENGINEERED SYSTEMS AND GEOHAZARDS
(2023)
Article
Engineering, Geological
Tianzheng Li, Limin Zhang, Wenping Gong, Huiming Tang
Summary: A model based on the discrete element method is proposed to investigate the damage of fractured rocks induced by cyclic freezing-thawing. The model considers cracks as interconnected interparticle pores and simulates the frost heave pressure on the rock grains surrounding the cracks. By classifying cracks connected to the atmosphere as inactive, computational cost and time are reduced. The proposed methodology can be applied to study large-scale problems such as glacier slope instability or landslides.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
(2023)
Article
Engineering, Marine
Zhihai Chen, Zechao Zhang, Weichao Li, Tianpeng Wang, Jie Zhang
Summary: This study quantifies the moment contribution of the base shear force in large-diameter monopiles using finite element simulation, and proposes a novel FHC model to establish the relationship between the base shear force and tip deflection.
Article
Engineering, Environmental
Jian He, Limin Zhang, Te Xiao, Haojie Wang, Hongyu Luo
Summary: This paper proposes a deep learning-enabled super-resolution hydrodynamic flood analysis method to simulate real-time pluvial flooding process. The method produces high-resolution flow depth and velocity predictions, providing comprehensive information for flood emergency management.
Article
Engineering, Geological
M. Kamali Zarch, L. M. Zhang, S. M. Haeri, Z. D. Xu
Summary: The rheological behavior of dilute soil-water mixtures, including hyperconcentrated mixtures and interstitial fluids in debris flows, can have a significant impact on the flow dynamics of flow-type landslides. However, the effects of soil type and texture on the rheological behavior of these mixtures are not well understood. This study uses a narrow-gap rotational viscometer to investigate the interactions between colloidal and non-colloidal particles and the possibility of flow regime change. The results demonstrate the applicability of the Bingham model in describing the bulk rheological behavior of dilute mixtures.
CANADIAN GEOTECHNICAL JOURNAL
(2023)
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)