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Granite fracture toughness deterioration under thermal treatment, a new insight from PINN SCIE
期刊论文 | 2026 , 141 | THEORETICAL AND APPLIED FRACTURE MECHANICS
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This study develops a novel framework for investigating thermal degradation in granite by integrating two innovative methodologies for high-precision quantification of fracture toughness. First, a grayscale-based 3D fracture surface reconstruction technique converts SEM images into topographic models through pixel grayscaleheight mapping. This method quantitatively correlates interfacial roughness evolution with thermal exposure (200-800 degrees C), demonstrating a 126 % increase in characteristic grayscale bandwidth (from 35 to 79 units) and revealing mineral-specific thermal cracking mechanisms via CNN-annotated feature transitions. Second, a physics-informed neural network (PINN) framework incorporates fracture mechanics constraints-including stress intensity factors and crack initiation criteria-into a custom loss function. Leveraging a focused dataset, the PINN identifies an explicit thermal degradation factor of beta = 0.0032 for fracture toughness correction. The resulting exponential model achieves superior accuracy (R2 > 0.98, MSE < 0.004) compared to linear and quadratic alternatives, with predictions validated within 5 % error margins across a continuous temperature range of 25-800 degrees C. The exponential form reflects the cumulative nature of thermal microcracking driven by differential mineral expansion. This combined methodology demonstrates: (1) high-precision learning from limited data through CNN-aided feature extraction and PINN regularization; (2) broad applicability, with grayscale reconstruction adaptable to multi-mineral rocks and the beta-factor integrable into ASTM-standard fracture equations; and (3) fundamental advancement in resolving granite's brittle-ductile transition (300-600 degrees C) via quantified micromechanical degradation. The approach establishes a paradigm shift from empirical thermal damage assessment to physics-based prediction, with direct relevance to safety in deep geotechnical engineering within geothermal-active regions.

Keyword :

Fracture surface reconstruction Fracture surface reconstruction Fracture toughness Fracture toughness Granite mechanics Granite mechanics Physics-informed neural network Physics-informed neural network Thermal degradation Thermal degradation

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GB/T 7714 Wang, Chaoxian , Qiu, Hao , Ruan, Yunkai . Granite fracture toughness deterioration under thermal treatment, a new insight from PINN [J]. | THEORETICAL AND APPLIED FRACTURE MECHANICS , 2026 , 141 .
MLA Wang, Chaoxian 等. "Granite fracture toughness deterioration under thermal treatment, a new insight from PINN" . | THEORETICAL AND APPLIED FRACTURE MECHANICS 141 (2026) .
APA Wang, Chaoxian , Qiu, Hao , Ruan, Yunkai . Granite fracture toughness deterioration under thermal treatment, a new insight from PINN . | THEORETICAL AND APPLIED FRACTURE MECHANICS , 2026 , 141 .
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Hydraulic fracture extension in a naturally fractured reservoir: a numerical study using the cohesive zone method based on a geological model SCIE
期刊论文 | 2025 , 11 (1) | GEOMECHANICS AND GEOPHYSICS FOR GEO-ENERGY AND GEO-RESOURCES
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To quantify how hydraulic fractures (HFs) extend in a fractured reservoir has proven challenging, in part due to the complex distribution patterns of existing natural fractures (NFs). However, current models could not describe structural characteristics of fractured reservoirs and therefore fail to reveal extensions of HFs. In this paper, a geological model for one fractured sandstone reservoir in the Ordos Basin is built based on the technology of unmanned aerial vehicle photogrammetry. Extensions of HFs in the reservoir is simulated using the cohesive zone method. The influences of pre-cut slit angles (theta) and injection schemes on HF complexity are explored. The results suggest that the length of HFs in case theta = 0 degrees is the greatest, followed by cases theta = 45 degrees, 135 degrees, and 90 degrees. It has been found that the fluid injection scheme with high rate at the early stage and low rate at the later stage is an effective way to increase the HF complexity, whereas the injection scheme with low fluid rate at the early stage and high fluid rate at the later stage strongly reduce the HF complexity. This provides valuable understanding for optimizing stimulation design in similar reservoirs. The results also suggests that, in general, the density values of hydraulic fractures in this fractured reservoir model, which is defined as the ratio of the total length of HFs to the model area, are all smaller than those in the rock matrix model, suggesting that NFs alleviate the HF complexity.

Keyword :

Cohesive zone method Cohesive zone method Hydraulic fracture Hydraulic fracture Natural fracture Natural fracture Tight sandstone gas reservoir Tight sandstone gas reservoir

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GB/T 7714 Li, Yanyan , Zuo, Tong , Li, Lihui et al. Hydraulic fracture extension in a naturally fractured reservoir: a numerical study using the cohesive zone method based on a geological model [J]. | GEOMECHANICS AND GEOPHYSICS FOR GEO-ENERGY AND GEO-RESOURCES , 2025 , 11 (1) .
MLA Li, Yanyan et al. "Hydraulic fracture extension in a naturally fractured reservoir: a numerical study using the cohesive zone method based on a geological model" . | GEOMECHANICS AND GEOPHYSICS FOR GEO-ENERGY AND GEO-RESOURCES 11 . 1 (2025) .
APA Li, Yanyan , Zuo, Tong , Li, Lihui , Ruan, Yunkai , Huang, Beixiu . Hydraulic fracture extension in a naturally fractured reservoir: a numerical study using the cohesive zone method based on a geological model . | GEOMECHANICS AND GEOPHYSICS FOR GEO-ENERGY AND GEO-RESOURCES , 2025 , 11 (1) .
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Green innovation: Clean conversion of shield-discharged waste soil and industrial solid waste into environmentally friendly high-performance flowable fill SCIE
期刊论文 | 2025 , 46 | SUSTAINABLE CHEMISTRY AND PHARMACY
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To address the high resource consumption and environmental burden of traditional fill materials, this study presents an environmentally friendly flowable fill using shield-discharged waste soil (SDWS), ground granulated blast-furnace slag (GGBFS), and fly ash as the main raw materials activated by a NaOH-Na2SiO3 composite. Microstructural analysis, performance testing, and life cycle assessment (LCA) were conducted to systematically evaluate the reaction mechanisms, engineering properties, environmental impacts, and economic viability of the developed material. The results show that the prepared flowable fill has excellent workability and mechanical properties, with an initial flowability of 602-755 mm and a 28-day compressive strength of 6.43-8.98 MPa. The aggregate-to-binder ratio and alkali equivalent exert a more significant effect on the compressive strength than the liquid-to-solid ratio and activator modulus do. Microstructural analysis indicates that GGBFS and fly ash, under alkali activation, synergistically form dense C-S-H and C-A-S-H gels, improving the properties of the material. The LCA results reveal that the flowable fill achieves carbon dioxide equivalent (CO2-eq) emissions of 136-214 kg CO2eq/m3, an eco-strength efficiency (ESE) of 0.038-0.053 MPa/(kg CO2-eq.m-3), and a cumulative energy demand (CED) of 1095-1537 MJ/m3. Both the ESE and CED metrics outperform those of conventional high-strength ordinary Portland cement-based controlled low-strength materials (CLSMs). The raw material cost is 224-307 CNY/m3, and the use of SDWS further reduces costs. This study provides an innovative and sustainable solution for flowable fill, supporting the green transformation and sustainable development of the construction industry.

Keyword :

Environmental impact Environmental impact Flowable fill Flowable fill Mechanical properties Mechanical properties Synergistic reaction mechanism Synergistic reaction mechanism

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GB/T 7714 Zhao, Guijie , Guan, Hongzhan , Yan, Huan et al. Green innovation: Clean conversion of shield-discharged waste soil and industrial solid waste into environmentally friendly high-performance flowable fill [J]. | SUSTAINABLE CHEMISTRY AND PHARMACY , 2025 , 46 .
MLA Zhao, Guijie et al. "Green innovation: Clean conversion of shield-discharged waste soil and industrial solid waste into environmentally friendly high-performance flowable fill" . | SUSTAINABLE CHEMISTRY AND PHARMACY 46 (2025) .
APA Zhao, Guijie , Guan, Hongzhan , Yan, Huan , Tian, Jinfeng , Han, Yafei , Wang, Jiaqi et al. Green innovation: Clean conversion of shield-discharged waste soil and industrial solid waste into environmentally friendly high-performance flowable fill . | SUSTAINABLE CHEMISTRY AND PHARMACY , 2025 , 46 .
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Using Certainty Factor as a Spatial Sample Filter for Landslide Susceptibility Mapping: The Case of the Upper Jinsha River Region, Southeastern Tibetan Plateau SCIE
期刊论文 | 2025 , 14 (9) | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
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Landslide susceptibility mapping (LSM) faces persistent challenges in defining representative stable samples as conventional random selection often includes unstable areas, introducing spatial bias and compromising model accuracy. To address this, we redefine the certainty factor (CF) method-traditionally for factor weighting-as a spatial screening tool for stable zone delineation and apply it to the tectonically active upper Jinsha River (937 km(2), southeastern Tibetan Plateau). Our approach first generates a preliminary susceptibility map via CF, using the natural breaks method to define low- and very low-susceptibility zones (CF < 0.1) as statistically stable regions. Non-landslide samples are exclusively selected from these zones for support vector machine (SVM) modeling with five-fold cross-validation. Key results: CF-guided sampling achieves training/testing AUC of 0.924/0.920, surpassing random sampling (0.882/0.878) by 4.8% and reducing ROC standard deviation by 32%. The final map shows 88.49% of known landslides concentrated in 25.70% of high/very high-susceptibility areas, aligning with geological controls (e.g., 92% of high-susceptibility units in soft lithologies within 500 m of faults). Despite using a simpler SVM, our framework outperforms advanced models (ANN: AUC, 0.890; RF: AUC, 0.870) in the same region, proving physical heuristic sample curation supersedes algorithmic complexity. This transferable framework embeds geological prior knowledge into machine learning, offering high-precision risk zoning for disaster mitigation in data-scarce mountainous regions.

Keyword :

certainty factor certainty factor Jinsha River Jinsha River landslide susceptibility mapping landslide susceptibility mapping non-landslide sample selection non-landslide sample selection support vector machine support vector machine

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GB/T 7714 Zhou, Xin , Jin, Ke , Sun, Xiaohui et al. Using Certainty Factor as a Spatial Sample Filter for Landslide Susceptibility Mapping: The Case of the Upper Jinsha River Region, Southeastern Tibetan Plateau [J]. | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION , 2025 , 14 (9) .
MLA Zhou, Xin et al. "Using Certainty Factor as a Spatial Sample Filter for Landslide Susceptibility Mapping: The Case of the Upper Jinsha River Region, Southeastern Tibetan Plateau" . | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 14 . 9 (2025) .
APA Zhou, Xin , Jin, Ke , Sun, Xiaohui , Ruan, Yunkai , Bao, Yiding , Li, Xiulei et al. Using Certainty Factor as a Spatial Sample Filter for Landslide Susceptibility Mapping: The Case of the Upper Jinsha River Region, Southeastern Tibetan Plateau . | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION , 2025 , 14 (9) .
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基于遗传模拟退火算法的岩体结构面产状优势组数划分
期刊论文 | 2025 , 33 (02) , 612-620 | 工程地质学报
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岩体结构面影响着岩体的力学性质及水力性质,在对岩体结构特性进行分析评价时,需要将结构面根据一些性质的相似程度分到相同的组,从而了解到岩体中不同性质结构面的发育情况。模糊C均值聚类算法作为工程中常用的聚类方法,存在着容易受到初始中心影响、容易陷入局部最优解的缺陷,本文提出基于遗传模拟退火算法及模糊C均值聚类算法(GSA-FCM)的岩体结构面产状优势组数划分方法。该法原理简单,计算速度快,将模拟退火算法的Metropolis准则融合到遗传算法,利用遗传模拟退火算法确定结构面的聚类中心,并对模糊C均值算法的分组结果进行优化,以期克服传统模糊C均值聚类算法受初始中心影响、易陷入局部最优解的缺陷。根据计算机模拟生成的结构面产状数据分析结果,本文方法较传统模糊C均值聚类算法有明显优势。最后将GSA-FCM应用到云南怒江马吉水电站的实测结构面数据分组中。结果表明:该方法聚类精度高,聚类结果准确,具有较强的工程适用性。

Keyword :

产状 产状 优势组数 优势组数 岩体结构面 岩体结构面 遗传模拟退火 遗传模拟退火

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GB/T 7714 刘伟城 , 阮云凯 , 陈锦资 et al. 基于遗传模拟退火算法的岩体结构面产状优势组数划分 [J]. | 工程地质学报 , 2025 , 33 (02) : 612-620 .
MLA 刘伟城 et al. "基于遗传模拟退火算法的岩体结构面产状优势组数划分" . | 工程地质学报 33 . 02 (2025) : 612-620 .
APA 刘伟城 , 阮云凯 , 陈锦资 , 黄炜 , 王玉林 . 基于遗传模拟退火算法的岩体结构面产状优势组数划分 . | 工程地质学报 , 2025 , 33 (02) , 612-620 .
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高校思想政治教育教学中“超限效应”的影响及对策研究
期刊论文 | 2025 , 43 (01) , 12-18 | 中国林业教育
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为了解决高校课程思政建设过程中出现的与思想政治理论课同向同行的各类课程的思政教育元素同质化内容所占比例过高导致的“超限效应”问题,通过问卷调查,对高校思想政治教育教学中“超限效应”的影响进行分析并提出应对策略,以期提高大学生的学习效率和高校的思政教育效果。问卷调查主要围绕“对思政教学方式的接受程度”“课堂上是否有思政教学案例重复使用现象”“是否需要避免思政教学案例的重复使用”“能够容忍的思政教学案例重复使用限度”等4个主题进行,调查对象为2020年9月—2022年6月期间福建农林大学交通与土木工程学院的在校研究生和4个本科教学班的学生。问卷调查结论为:案例教学方式得到学生的普遍认可,高校应明确继续采用并优化案例教学方式开展思想政治教育的方向;思政教学案例重复使用普遍存在,但可通过优化内容和创新讲授角度等增加新的学习点;思政教学案例除了考虑质量和适用性外,提高新鲜度仍是不可回避的必须解决的问题;经典型思政教学案例内容的新鲜度和有趣性有更强烈的需求,时事热点型思政教学案例短期内少量重复使用更容易被接受。为了应对高校思想政治教育教学中“超限效应”的影响,教师需要在思政教学案例的选择、教学角度和案例更新等方面下更多工夫。为此,提出建设智慧课程案例管理系统的应对策略。该系统主要包括用户管理、课表信息管理、案例信息管理、超限管理(提醒)、学生评价等功能模块,旨在帮助各类课程的任课教师更加高效地选择和管理思政教学案例。其中,案例信息管理功能可为教师提供案例的使用频率和受欢迎程度以及学生对案例的评价等方面的统计数据和报告,超限管理(提醒)功能可对案例的重复使用情况进行检测以及将上传到系统的新案例与现有的案例库进行比对,学生评价功能可为学生提供反馈案例使用情况和改进建议的专门路径。实践证明,该系统在减少“超限效应”和增强思政教育教学效果方面具有实际价值,但仍需完善,如增设监控功能、预警系统、案例新颖度的评价机制、案例推荐系统、案例共享平台等;同时,关注研究生思政教育教学与本科生的差异性以及两者的衔接与整合。为此,本研究认为除了建设智慧课程案例管理系统之外,还可以在以下方面进行实践探索。一是按专业统筹规划思政教育元素和思政教学案例,二是建设一个能够实时更新思政教育教学资源的系统,三是构建支持教师间协作和交流的机制,从而增强高校思政教育的连贯性、深度和广度。

Keyword :

思想政治教育 思想政治教育 思政教学案例 思政教学案例 智慧课程案例管理系统 智慧课程案例管理系统 案例教学 案例教学 超限效应 超限效应 问卷调查 问卷调查 高校 高校

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GB/T 7714 樊仲谋 , 危金煌 , 胡喜生 et al. 高校思想政治教育教学中“超限效应”的影响及对策研究 [J]. | 中国林业教育 , 2025 , 43 (01) : 12-18 .
MLA 樊仲谋 et al. "高校思想政治教育教学中“超限效应”的影响及对策研究" . | 中国林业教育 43 . 01 (2025) : 12-18 .
APA 樊仲谋 , 危金煌 , 胡喜生 , 周成军 , 阮云凯 . 高校思想政治教育教学中“超限效应”的影响及对策研究 . | 中国林业教育 , 2025 , 43 (01) , 12-18 .
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Recycling shield discharged soil to produce sustainable controlled low-strength material: Performance, microscale characteristics, and environmental life cycle assessment SCIE
期刊论文 | 2025 , 46 | SUSTAINABLE MATERIALS AND TECHNOLOGIES
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Recycling is an effective approach to mitigating the environmental pressures and challenges posed by shield discharged soil (SDS). In this study, a novel type of sustainable controlled low-strength material (S-CLSM) was formulated by blending SDS with ground granulated blast furnace slag and fly ash, activated by a sodium hydroxide (NaOH) solution. The research team evaluated its performance and environmental impact, analyzing the microstructure to demonstrate its potential as an eco-friendly alternative to traditional materials. The S-CLSM ensures a flowability of at least 150 mm within 30 min. The 28-day unconfined compressive strength (UCS) ranges from 1.837 to 6.937 MPa, with UCS exhibiting rapid development in the early stages. The setting time ranges from 1.2 to 5.6 h, showcasing excellent performance in terms of UCS and setting time. The inclusion of SDS primarily reduces initial flowability and prolongs setting time but does not significantly impact UCS. The cementitious substances, mainly comprising calcium silicate hydrate, calcium aluminate hydrate, and calcium aluminate, bond SDS particles to form strength. Comparatively, with equivalent strength, the global warming potential of S-CLSM is 14.98 % lower than that of conventional controlled low-strength material (C-CLSM). Sodium hydroxide has a much larger environmental burden, contributing to 50 %-90 % of the total environmental impact of raw materials in a given process. In contrast, the use of SDS is much more environmentally friendly, accounting for less than 0.4 % of the total impact. These findings offer a new avenue for sustainable development within the construction industry and aid in identifying sustainable civil engineering waste management solutions.

Keyword :

Compressive strength Compressive strength Contribution analysis Contribution analysis Controlled low-strength material Controlled low-strength material Global warming potential Global warming potential Life cycle assessment Life cycle assessment Microstructure Microstructure

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GB/T 7714 Zhao, Guijie , Pan, Xiaoqiang , Yan, Huan et al. Recycling shield discharged soil to produce sustainable controlled low-strength material: Performance, microscale characteristics, and environmental life cycle assessment [J]. | SUSTAINABLE MATERIALS AND TECHNOLOGIES , 2025 , 46 .
MLA Zhao, Guijie et al. "Recycling shield discharged soil to produce sustainable controlled low-strength material: Performance, microscale characteristics, and environmental life cycle assessment" . | SUSTAINABLE MATERIALS AND TECHNOLOGIES 46 (2025) .
APA Zhao, Guijie , Pan, Xiaoqiang , Yan, Huan , Tian, Jinfeng , Han, Yafei , Guan, Hongzhan et al. Recycling shield discharged soil to produce sustainable controlled low-strength material: Performance, microscale characteristics, and environmental life cycle assessment . | SUSTAINABLE MATERIALS AND TECHNOLOGIES , 2025 , 46 .
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An innovative sustainable solution: Recycling shield-discharge waste soil as fine aggregate to produce eco-friendly geopolymer-based flowable backfill materials SCIE
期刊论文 | 2024 , 36 | ENVIRONMENTAL TECHNOLOGY & INNOVATION
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The disposal of Shield-Discharge Waste Soil (SDWS) is substantial, yet their recycling rate remains low, necessitating the exploration of new recycling methods for effective waste management. This study examines the potential use of SDWS as a fine aggregate in the production of Controlled LowStrength Material (CLSM), incorporating slag and fly ash as precursors. Key properties such as strength, flowability, setting time, microstructure, chemical composition, CO2 emissions, energy consumption, and cost were assessed and analyzed. Additionally, the environmental impact and material-related strategies were discussed. The results reveal that the developed CLSM exhibits competitive performance, with compressive strengths ranging from 2.830 MPa to 4.121 MPa, achieving over 1.0 MPa strength within 24 hours. The material demonstrates high flowability, exceeding 200 mm within 30 minutes, and has a setting time between 2.10 and 4.23 hours, offering advantages in both setting time and early strength. SDWS contributes to extending the coagulation process and enhancing the flowability. Optimal strength is observed when SDWS constitutes approximately 30 % of the binders or when the alkali equivalent is around 7 %. Compared to traditional cement-based CLSMs, incorporating SDWS results in reduced CO2 emissions and lower energy consumption. When considering savings from reduced waste disposal costs, the overall material cost remains competitive. Furthermore, higher SDWS content leads to enhanced environmental benefits, and it is recommended to keep the alkali equivalent below 7 % for optimal performance. In conclusion, the developed CLSM presents significant potential for wide-scale applications and offers a sustainable solution for recycling SDWS.

Keyword :

Carbon emission Carbon emission Construction and demolition waste (C & DW) Construction and demolition waste (C & DW) Controlled low-strength material (CLSM) Controlled low-strength material (CLSM) Cost Cost Shield-discharge waste soil Shield-discharge waste soil Sustainability analysis Sustainability analysis

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GB/T 7714 Zhao, Guijie , Guan, Hongzhan , Yan, Huan et al. An innovative sustainable solution: Recycling shield-discharge waste soil as fine aggregate to produce eco-friendly geopolymer-based flowable backfill materials [J]. | ENVIRONMENTAL TECHNOLOGY & INNOVATION , 2024 , 36 .
MLA Zhao, Guijie et al. "An innovative sustainable solution: Recycling shield-discharge waste soil as fine aggregate to produce eco-friendly geopolymer-based flowable backfill materials" . | ENVIRONMENTAL TECHNOLOGY & INNOVATION 36 (2024) .
APA Zhao, Guijie , Guan, Hongzhan , Yan, Huan , Ruan, Yunkai , Han, Yafei , Pan, Xiaoqiang et al. An innovative sustainable solution: Recycling shield-discharge waste soil as fine aggregate to produce eco-friendly geopolymer-based flowable backfill materials . | ENVIRONMENTAL TECHNOLOGY & INNOVATION , 2024 , 36 .
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Optimization and characterization of GGBFS-FA based alkali-activated CLSM containing Shield-discharged soil using Box-Behnken response surface design method SCIE
期刊论文 | 2024 , 21 | CASE STUDIES IN CONSTRUCTION MATERIALS
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With the rapid growth of shield-discharged soil (SDS), there is an increasing demand for effective recycling and transformation methods. This study aims to develop an alkali-activated controlled low-strength material (CLSM) by utilizing ground granulated blast furnace slag (GGBFS) and fly ash (FA) as precursors, SDS as fine aggregate, and sodium hydroxide (NaOH) solution as an activator. The Box-Behnken design (BBD) within the response surface methodology (RSM) framework was employed, considering liquid-to-solid ratio, alkali equivalent, aggregate-to-binder ratio, and foam agent content (FC) in SDS as key factors. Regression models were constructed to analyze the effects of these factors on flowability, bleeding rate, setting time, compressive strength, elastic modulus, and water absorption. The results confirmed the effectiveness of RSM in determining optimal conditions for material performance. In addition, microscopic analyses were conducted to explore hydration products, microstructural characteristics, and pore distribution. The findings revealed that the fresh density of the CLSM ranged from 1460 to 1740 kg/m(3), classifying it as a low-density material. The 28-day compressive strength varied from 1.837 to 7.884 MPa, while the setting time ranged between 1.2 and 5.6 hours. These properties comply with the ACI 229 standard and are suitable for practical applications. Interestingly, when the aggregate-to-binder (A/B) ratio was between 0.2 and 0.4, increasing the ratio did not lead to a consistent reduction in mechanical properties. Instead, the properties initially decreased and then improved. Moreover, an increase in foam agent content (FC) extended the setting time and reduced mechanical strength. The correlation coefficients of all models exceeded 0.98, with a coefficient of variation below 10 % and a signal-to-noise ratio greater than 4, demonstrating strong reliability and accuracy of the models. Additionally, the average relative error between predicted and experimental values in six scenarios was under 6 %, validating the feasibility of optimizing the design of alkali-activated CLSM using RSM. The formation of Ca(OH)(2) crystals facilitates early strength development, resulting in final cementitious materials reticular, fibrous C-S-H, C-A-H, and other gel-like hydration products. Calcium promotes the formation of gels such as C-S-H, shortening the setting time and enhancing microstructural density. This study provides valuable insights for optimizing the design of alkali-activated CLSM containing SDS, thereby expanding methods for utilizing construction and demolition waste.

Keyword :

Alkali-activated Alkali-activated Box-Behnken design (BBD) Box-Behnken design (BBD) Construction and demolition waste (C &DW) Construction and demolition waste (C &DW) Controlled low-strength material (CLSM) Controlled low-strength material (CLSM) Optimal condition Optimal condition Shield-discharged soil Shield-discharged soil

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GB/T 7714 Zhao, Guijie , Pan, Xiaoqiang , Yan, Huan et al. Optimization and characterization of GGBFS-FA based alkali-activated CLSM containing Shield-discharged soil using Box-Behnken response surface design method [J]. | CASE STUDIES IN CONSTRUCTION MATERIALS , 2024 , 21 .
MLA Zhao, Guijie et al. "Optimization and characterization of GGBFS-FA based alkali-activated CLSM containing Shield-discharged soil using Box-Behnken response surface design method" . | CASE STUDIES IN CONSTRUCTION MATERIALS 21 (2024) .
APA Zhao, Guijie , Pan, Xiaoqiang , Yan, Huan , Tian, Jinfeng , Han, Yafei , Guan, Hongzhan et al. Optimization and characterization of GGBFS-FA based alkali-activated CLSM containing Shield-discharged soil using Box-Behnken response surface design method . | CASE STUDIES IN CONSTRUCTION MATERIALS , 2024 , 21 .
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一种基于遗传模拟退火算法的岩体结构面优势产状分组方法 ipsunlight
专利 | 2024-07-30 | CN202411028040.7
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Abstract :

本发明提出一种基于遗传模拟退火算法的岩体结构面优势产状分组方法,包括以下步骤:将结构面产状数据转化为单位法向量并获得数据集,设置控制参数,生成初始聚类中心和初始种群,计算样本隶属度和适应度函数值,使用遗传算法对初始种群进行选择、交叉、变异操作获得新种群,采用模拟退火算法对新生成的个体进行判断与选择,更新种群、聚类中心、隶属度和适应度值,并通过Xie‑Beni有效性指标获得最佳分组结果。本发明利用模拟遗传退火算法结合模糊C均值聚类算法,克服了模糊C均值聚类算法需要指定聚类中心的缺陷,在确定聚类组数后,算法在聚类过程中能够自动寻找最优聚类中心,得出的结果更加准确。

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GB/T 7714 阮云凯 , 黄炜 , 刘伟城 et al. 一种基于遗传模拟退火算法的岩体结构面优势产状分组方法 : CN202411028040.7[P]. | 2024-07-30 .
MLA 阮云凯 et al. "一种基于遗传模拟退火算法的岩体结构面优势产状分组方法" : CN202411028040.7. | 2024-07-30 .
APA 阮云凯 , 黄炜 , 刘伟城 , 陈锦资 , 王坛华 , 杨运林 et al. 一种基于遗传模拟退火算法的岩体结构面优势产状分组方法 : CN202411028040.7. | 2024-07-30 .
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