检索结果-内蒙古大学图书馆

SSRN 2022年

作者： Huang, Wenxuan Wang, Ying Zhang, Yaming Zheng, Wenzhong School of Civil Engineering Harbin Institute of Technology Haihe Road #202 Nangang District Harbin150090 China Key Lab of Structures Dynamic Behavior and Control Ministry of Education Key Lab Smart Prevention and Mitigation of Civil Engineering Disasters Ministry of Industry and Information Technology School of Civil Engineering Harbin Institute of Technology Haihe Road #202 Nangang District Harbin150090 China

In this research, a special type of mortar with alkali-activated slag as cementitious material was examined, which had the characteristics of high strength, high temperature resistance and environmental protection. Its aggregates consisted of crushed and sieved particles of alkali-activated slag paste. The compressive strengths of 126 cubic and 126 prismatic specimens during and after high-temperature treatment were investigated. The test results showed that both the compressive and flexural strengths of the mortar during and after high-temperature treatment decreased with increasing temperature. Moreover, the compressive strength of the mortar after high-temperature treatment was higher than that during the treatment in which strength grade and temperature were constant. The high-temperature strength loss of the mortar was also found to be lower than that of concrete. The formulated equations for calculating the compressive and flexural strengths during and after high-temperature treatment provided a basis for evaluating the fire resistance of this new type of masonry material. The microstructure and composition of the mortar were analyzed using scanning electron microscopy with energy-dispersive spectrometry and X-ray diffraction. At 600 ℃, the mortar gradually produced new melilite products. © 2022, The Authors. All rights reserved.

关键词： Compressive strength

来源：评论

学校读者我要写书评

暂无评论

Preparation and Properties of a Cement-Based Permeable Crystalline Repair Material

SSRN

引用

SSRN 2021年

作者： Lu, Rongwei Guan, Xinchun Zhang, Chenchen Kou, Yufeng Li, Jinglu Li, Yazhao Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters Ministry of Industry and Information Technology Harbin Institute of Technology Harbin150090 China Harbin Institute of Technology Harbin150090 China

According to the performance requirements of concrete repair materials, a new cement-based permeable crystalline repair material（CCRM） was prepared, and its repair performance and repair mechanism were studied by means of macro mechanical property test, micro ESEM and XRD. The experimental results show that the prepared repair material not only has good flow performance and strength, but also enhances the strength of the repair interface, so that the repair interface is no longer the weak point of the repaired specimen. Through the observation of the microstructure of the repaired specimen, it is found that CCRM can penetrate into the interface of the repaired specimen to form a cross transition zone, and then form a better integration with the repaired specimen, with very good compatibility. Through the test of CCRM repair products by XRD and TG, it is found that there is an active component in CCRM, which can consume calcium hydroxide to form a complex, promote the transformation of calcium carbonate and C-S-H, and then enhance the repair effect. © 2021, The Authors. All rights reserved.

关键词： Repair

来源：评论

学校读者我要写书评

暂无评论

Optimal placement of multiple types of sensors based on Bayesian system identification using heuristic-enhanced deep reinforcement learning

引用

Engineering structures 2025年 338卷

作者： Zhong, Qunhong Wei, Shiyin Huang, Yong Jia, Kailiang Li, Hui Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education School of Civil Engineering Harbin Institute of Technology Harbin150090 China Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology Harbin Institute of Technology Harbin China

The advanced structural health monitoring system, integrating multiple types of sensors, provides a comprehensive method for monitoring structural information, effectively identifying abnormal changes, and ensuring the safety of structures in service. However, determining the optimal placement of multiple types of sensors is a challenging combinatorial optimization problem due to its discrete and non-convex nature. The algorithm for optimizing multi-type sensor layouts must be able to handle these complexities effectively. In this paper, a novel multi-type sensor optimal placement algorithm based on heuristic-enhanced deep reinforcement learning (DRL) is proposed. This approach improves algorithm efficiency by initializing with high-quality configurations generated during agent's exploration process. Based on the information entropy and Bayesian theory, we establish a reward function to evaluate the effectiveness of multi-type sensor placement schemes. Three case studies are presented to verify the performance of the proposed algorithm in optimizing sensor placement. Our experiments indicate that adding excessive sensors does not significantly improve monitoring effectiveness, which highlights the necessity of strategically positioning sensors at the most critical data points by optimizing sensor placement to achieve efficient and effective monitoring. We find that incorporating heuristic-based exploration experience significantly boosts the optimization performance of deep reinforcement learning (DRL) algorithm, yielding superior results. The comparison study with other optimization methods also highlights the higher efficiency of our proposed method. © 2025

关键词： Convex optimization

来源：评论

学校读者我要写书评

暂无评论

Interface Shear Analysis of UHPC-NC with U-Shaped Shear Stud

引用

ce/papers 2023年第5期6卷 1338-1343页

作者： Lu, Ya Lin, Lanri Zhang, Xing Shi, Xinbo Wang, Xiao Wang, Hao Yang, Tao Zhang, Chengwu Wang, Rui Wu, Xiangguo School of Civil Engineering Harbin Institute of Technology Harbin150090 China College of Civil Engineering Fuzhou University Fuzhou China CGN New Energy Holdings Co. Ltd China Heilongjiang Construction Group Co. Ltd China Heilongjiang Wujian Construction Engineering Co. Ltd China Jiangxi Building Materials Research and Design Institute Co. Ltd China Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of the Industry and Information Technology Harbin Institute of Technology Harbin150090 China

The composite structure composed of ultra-high performance concrete (UHPC) and normal concrete (NC) has been widely applied to engineering structures. U-shaped shear studs play an important role in the combination of the UHPC-NC interface. To investigate the interface shear characteristics of UHPC-NC with U-shaped shear studs, the numerical model with 14 various parameters is calculated based on the interface push tests. The influences of diameter, stud number, NC elastic modulus, NC compressive strength on the shear characteristics of the UHPC-NC interface are analyzed. The results show that the load-slip curves of the UHPC-NC interface with a U-shaped shear stud have three stages: elastic stage, elastoplastic stage and descending stage. The fitting formula with the power function as the basic function can well express the influence law of diameter on the interface shear capacity. The interface shear capacity is not sensitive to the elastic modulus and compressive strength of NC, and it does not increase or decrease with the increase of stud number, the shear strength of a single stud tends to be constant. © 2023 Ernst & Sohn GmbH.

关键词： Compressive strength

来源：评论

学校读者我要写书评

暂无评论

Long-term performance of steel-recycled aggregate concrete continuous composite beams considering the influence of installing decorative layers

引用

Engineering structures 2025年 339卷

作者： Xuepeng Chen Huan Zhang Yu-Yin Wang Hongzhe Dai Lilong Fan Yue Geng Key Lab of Structures Dynamic Behaviour and Control of the Ministry of Education Harbin Institute of Technology Harbin 150090 China Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology Harbin Institute of Technology Harbin 150090 China China Railway Construction Bridge Engineering Bureau Group Co. Ltd. Tianjin 300000 China State Key Laboratory of Featured Metal Materials and Life-cycle Safety for Composite Structures Nanning Guangxi 530004 China

Steel-recycled aggregate concrete composite beams (SRACCBs) are preferred components for the recycled aggregate concrete (RAC) application. Due to their superior spanning ability and load-bearing capacity, steel-concrete composite beams (SCCBs) are typically more slender than traditional beam components, which makes them more sensitive to concrete shrinkage and creep. Furthermore, the incorporation of recycled aggregate (RA) significantly increases the shrinkage and creep deformation of the concrete. Therefore, the long-term properties of RAC significantly affect the application of SRACCBs. In fact, the shrinkage and creep of RAC are closely related to the boundary conditions, and the sealing effect of the steel deck and decorative layer can directly influence the long-term deformation of SCCBs. However, relevant research is currently unavailable. In this context, a 500-day long-term performance test of continuous SRACCB (4 m × 2 spans) was conducted in this paper. The test quantified the effects of incorporating RA and installing decorative layers on the mid-span deflection and end relative slip of the SRACCBs. By considering the cracking, shrinkage, and creep of RAC and long-term slip at the interface, a Direct Stiffness Method Finite Element Model (DSMFEM) for SRACCBs was established. Test results indicate that using 100 % RA can increase the mid-span deflection of the specimen by 27.9 % and the relative slip by 54.8 %; a 90-day installation of the decoration layer can lead to a 16.3 % decrease in the mid-span deflection and an 11.5 % decrease in the relative slip. The verification results of 12 sets of experimental data indicate that the proposed DSMFEM has high computational efficiency and can effectively predict the deflection and relative slip of simply-supported and continuous SCCBs. The maximum error in predicting the final mid-span deflection is 6.8 % for specimens with long-term loads and 18.4 % for specimens without loads.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Functional outlier detection for density-valued data with application to robustify distribution to distribution regression

arXiv

引用

arXiv 2021年

作者： Lei, Xinyi Chen, Zhicheng Li, Hui Key Lab of Intelligent Disaster Mitigation of the Ministry of Industry and Information Technology Harbin Institute of Technology Harbin150090 China Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education Harbin Institute of Technology Harbin150090 China School of Civil Engineering Harbin Institute of Technology Harbin150090 China

Distributional data analysis, concerned with statistical analysis and modeling for data objects consisting of random probability density functions (PDFs) in the framework of functional data analysis (FDA), has received considerable interest in recent years. However, many important aspects remain unexplored, such as outlier detection and robustness. Existing functional outlier detection methods are mainly used for ordinary functional data and usually perform poorly when applied to PDFs. To fill this gap, this study focuses on PDF-valued outlier detection, as well as its application in robust distributional regression. Similar to ordinary functional data, detecting the shape outlier masked by the "curve net’’ formed by the bulk of the PDFs is the major challenge in PDF-outlier detection. To this end, we propose a tree-structured transformation system for feature extraction as well as converting the shape outliers to easily detectable magnitude outliers, relevant outlier detectors are designed for the specific transformed data. A multiple detection strategy is also proposed to account for detection uncertainties and to combine different detectors to form a more reliable detection tool. Moreover, we propose a distributional-regression-based approach for detecting the abnormal associations of PDF-valued two-tuples. As a specific application, the proposed outlier detection methods are applied to robustify a distribution-to-distribution regression method, and we develop a robust estimator for the regression operator by downweighting the detected outliers. The proposed methods are validated and evaluated by extensive simulation studies or real data applications. Relevant comparative studies demonstrate the superiority of the developed outlier detection method with other competitors in distributional outlier detection. © 2021, CC BY.

关键词： Statistics

来源：评论

学校读者我要写书评

暂无评论

A change-point detection method for detecting and locating the abrupt changes in distributions of damage-sensitive features of SHM data, with application to structural condition assessment

arXiv

引用

arXiv 2021年

作者： Lei, Xinyi Chen, Zhichng Li, Hui Wei, Shiyin Key Lab of Intelligent Disaster Mitigation The Ministry of Industry and Information Technology Harbin Institute of Technology Harbin150090 China Key Lab of Structures Dynamic Behavior and Control The Ministry of Education Harbin Institute of Technology Harbin150090 China School of Civil Engineering Harbin Institute of Technology Harbin150090 China

Diagnosing the changes of structural behaviors using monitoring data is an important objective of structural health monitoring (SHM). The changes in structural behaviors are usually manifested as the feature changes in monitored structural responses;thus, developing effective methods for automatically detecting such changes is of considerable significance. Existing methods for change detection in SHM are mainly used for scalar or vector data, thus incapable of detecting the changes of the features represented by complex data, e.g., the probability density functions (PDFs). Detecting the abrupt changes occurred in the distributions (represented by PDFs) associated with the damage-sensitive features extracted from SHM data are usually of crucial interest for structural condition assessment;however, the SHM community still lacks effective diagnostic tools for detecting such changes. In this study, a change-point detection method is developed in the functional data-analytic framework for PDF-valued sequence, and it is leveraged to diagnose the distributional information break encountered in structural condition assessment. A major challenge in PDF-valued data modeling or analysis is that the PDFs are special functional data subjecting to nonlinear constraints. To tackle this issue, the PDFs are embedded into the Bayes space, and the associated change-point model is constructed by using the linear structure of the Bayes space;then, a hypothesis testing procedure is presented for distributional change-point detection based on the isomorphic mapping between the Bayes space and a functional linear space. Comprehensive simulation studies are conducted to validate the effectiveness of the proposed method as well as demonstrate its superiority over the competing method. Finally, an application to real SHM data illustrates its practical utility in structural condition assessment. Copyright © 2021, The Authors. All rights reserved.

关键词： Probability density function

来源：评论

学校读者我要写书评

暂无评论

Mechanical properties of an innovative variable stiffness bonded-type anchorage for CFRP cables

Transactions of Materials Research

引用

Transactions of Materials Research 2025年第2期1卷

作者： Yanzhao Niu Makeev Aleksander Chen Wang Rui Guo Guijun Xian Key Lab of Structures Dynamic Behavior and Control (Ministry of Education) Harbin Institute of Technology Harbin 150090 China Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology Harbin Institute of Technology Harbin 150090 China School of Civil Engineering Harbin Institute of Technology Harbin 150090 China

To address the challenges of anchoring Carbon Fiber Reinforced Polymer (CFRP) cables, this paper presents an innovative variable stiffness bonded-type anchorage, which builds upon traditional anchorage designs and incorporates high-temperature resistant bonding media with variable stiffness, along with bent CFRP cables. To evaluate the anchoring performance of this anchorage, mechanical tests were conducted and compared with traditional bond-type anchorage systems. The results show that when the bending angle of CFRP bars exceeds 4°, the tensile strength will be less than 95 % of ultimate strength. As the amount of additive increases, both the tensile strength and elastic modulus of the high-temperature resistant bonding medium gradually improve. The mechanical properties of the high-temperature resistant bonding medium are similar to those of traditional bonding media, but its glass transition temperature ( T g ) is significantly higher than that of traditional bonding media. Additionally, when the bonding layer thickness exceeds 2 mm, it has no effect on the bonding performance. The average bonding stress gradually decreases as the anchorage length increases and the internal cone angle decreases. Furthermore, the Ф4-7 and Ф4-19 CFRP cables anchored by VB anchorage demonstrate ideal brittle failure modes, with anchorage efficiencies exceeding 95 %, and the average slip amounts are 2.78 mm and 5.44 mm, respectively, and the anchorage demonstrates good stability. In contrast, EP anchorage shows less desirable failure modes, with most anchorage efficiencies falling below 95 %. The average slip amounts are 3.22 mm and 7.62 mm, but the results display greater variability.

关键词： CFRP cable Variable stiffness bonding-type anchorage Tensile test High-temperature resin Anchoring performance

来源：评论

学校读者我要写书评

暂无评论

Mechanical properties of extrusion-based 3D-printed concrete considering the thickness of the printed layer and printing time interval

引用

structures 2025年 78卷

作者： Tang, Boyang Yan, Jiachuan Han, Xiaoyu Lin, Yini Fan, Feng Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education Harbin Institute of Technology Harbin150090 China Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology Harbin Institute of Technology Harbin150090 China School of Civil Engineering Harbin Institute of Technology Harbin150090 China

This paper investigated the performance of 3D printed concrete with a focus on the bonding layer, considering the thickness of the printed layers. Through experimental testing and numerical simulation, the mechanical properties and failure mechanisms of the bonding layer were thoroughly analyzed. The results revealed that compressive strength diminishes with thinner layers and longer printing intervals, while anisotropic mechanical properties become increasingly pronounced with reduced layer thickness. The static performance of 3D printed concrete arches was also studied, showing that increased layer thickness enhances the ultimate load bearing capacity. Cohesive elements were used to simulate compressive strength across varying layer thicknesses and printing time intervals. Prediction formulae for compressive strength were developed and validated through experimental data. The study further simulated the static performance of arches using both cohesive elements and anisotropic material properties, confirming the accuracy of the strength prediction formulae and the effectiveness of the simulation methods. © 2025

关键词： Compressive strength

来源：评论

学校读者我要写书评

暂无评论

Compressive Strength Evaluation of Concrete Confined With Spiral Stirrups by Using Adaptive Neuro-fuzzy Inference System (ANFIS)

Research Square

引用

Research Square 2021年

作者： Chang, Wei Zheng, Wenzhong Key lab of Structures Dynamic Behavior and Control Ministry of Education Harbin Institute of Technology Harbin150090 China Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters The Ministry of Industry and Information Technology Harbin Institute of Technology Harbin150090 China School of Civil Engineering Harbin Institute of Technology Harbin150090 China

The compressive strength of concrete confined with spiral stirrups was an important parameter to evaluate the load-bearing capacity of concrete columns. The confinement provided by spiral stirrups let concrete under the triaxial compression state and improved the compressive strength of concrete. However, the relationships between concrete and stirrups were complex and the existing prediction models for evaluating the compressive strength of confined concrete were various. In this paper, an adaptive neural-fazzy inferenxe system (ANFIS) model was developed to evaluate the compressive strength of concrete confined with stirrups. A set of 231 experimental results of concrete confined with spiral stirrups were collected from the previous studies to establish a reliable database. The investigated parameters included the aspect ratio of specimens, the diameter, spacing, yield strength, and volumetric ratio of stirrups, the ratio of longitudinal reinforcement, and the compressive strength of concrete. The results showed that the ANFIS model predicted the compressive strength of confined concrete accurately. By comparing with existing models, the proposed ANFIS model had high applicable and reliability. The effects of the investigated parameters on the compressive strength of concrete were analyzed based on the proposed ANFIS model. © 2021, CC BY.

关键词： Compressive strength

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：