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学者姓名：周宏元
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摘要 ：
陶粒泡沫混凝土的力学性能及吸能特性
关键词 ：
破坏模式 破坏模式 压实应变 压实应变 强度匹配 强度匹配 陶粒泡沫混凝土 陶粒泡沫混凝土 能量吸收 能量吸收 抗压强度 抗压强度
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| GB/T 7714 | 王小娟 , 刘路 , 贾昆程 et al. 陶粒泡沫混凝土的力学性能及吸能特性 [J]. | 王小娟 , 2021 , 24 (1) : 207-215 . |
| MLA | 王小娟 et al. "陶粒泡沫混凝土的力学性能及吸能特性" . | 王小娟 24 . 1 (2021) : 207-215 . |
| APA | 王小娟 , 刘路 , 贾昆程 , 周宏元 , 建筑材料学报 . 陶粒泡沫混凝土的力学性能及吸能特性 . | 王小娟 , 2021 , 24 (1) , 207-215 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
为研究挂板对桥墩在爆炸荷载作用下的防护性能,利用ANSYS/LS-DYNA建立钢筋混凝土板爆炸数值模型并验证其有效性,对有无挂板防护空心截面桥墩数值模型在爆炸下的响应与破坏进行分析比较,通过观察应力波的传播过程、桥墩的破坏形态以及背爆面位移,进一步讨论挂板面板厚度、芯层密度及芯层厚度等关键参数对挂板爆炸防护效果的影响。研究表明:安装挂板可显著减轻桥墩在爆炸荷载下的损伤;当挂板面板厚度从1 cm增加到3 cm、芯层厚度从10 cm增加到30 cm,桥墩背爆面位移显著降低;在一定范围内,挂板防护性能随芯层密度的增大而提高,对轻质挂板应用于桥墩爆炸防护具有一定指导意义。
关键词 ：
桥墩 桥墩 挂板 挂板 抗爆性能 抗爆性能 爆炸荷载 爆炸荷载
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| GB/T 7714 | 周宏元 , 张雪健 , 王小娟 et al. 爆炸荷载下桥墩挂板防护性能研究 [J]. | 爆破 , 2021 , 38 (02) : 175-183 . |
| MLA | 周宏元 et al. "爆炸荷载下桥墩挂板防护性能研究" . | 爆破 38 . 02 (2021) : 175-183 . |
| APA | 周宏元 , 张雪健 , 王小娟 , 周后湛 . 爆炸荷载下桥墩挂板防护性能研究 . | 爆破 , 2021 , 38 (02) , 175-183 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
针对多点未知随机激励下仅利用输出响应识别结构损伤的问题,提出基于互相关函数的聚类蝴蝶优化算法的结构损伤识别方法。首先将结构损伤考虑为刚度和质量同时损伤,并根据测量和计算得到的加速度互相关函数建立目标函数,并采用所提出的聚类蝴蝶优化算法进行损伤识别。通过简支梁和剪切型钢框架两个数值模拟算例验证方法的有效性,结果表明,多点未知随机激励下使用有限测量数据,基于互相关函数的聚类蝴蝶优化算法的结构损伤识别方法不仅可以精确识别结构的多处损伤,而且具有较好的噪声鲁棒性。
关键词 ：
结构损伤识别 结构损伤识别 互相关函数 互相关函数 k均值聚类 k均值聚类 随机激励 随机激励 聚类蝴蝶优化算法 聚类蝴蝶优化算法
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| GB/T 7714 | 周宏元 , 张广才 , 王小娟 et al. 基于互相关函数的聚类蝴蝶优化算法的结构损伤识别 [J]. | 振动与冲击 , 2021 , 40 (17) : 189-196 . |
| MLA | 周宏元 et al. "基于互相关函数的聚类蝴蝶优化算法的结构损伤识别" . | 振动与冲击 40 . 17 (2021) : 189-196 . |
| APA | 周宏元 , 张广才 , 王小娟 , 陈凤晨 , 倪萍禾 . 基于互相关函数的聚类蝴蝶优化算法的结构损伤识别 . | 振动与冲击 , 2021 , 40 (17) , 189-196 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
以快硬硫铝酸盐水泥为结合剂,与陶粒、预制泡沫混合制备得到陶粒泡沫混凝土.探讨了泡沫混凝土密度与陶粒粒径匹配关系对陶粒泡沫混凝土在静态单轴压缩下的破坏模式、抗压强度、压实应变和能量吸收的影响.结果表明:随着泡沫混凝土密度的提高或陶粒粒径的增大,陶粒泡沫混凝土发生非界面破坏的现象逐渐显著,由此确定出与3种粒径陶粒相匹配的泡沫混凝土的密度范围;随着泡沫混凝土密度的提高,陶粒泡沫混凝土的抗压强度和能量吸收能力均显著提高,压实应变随之减小;随着陶粒粒径的增大,陶粒泡沫混凝土的抗压强度先增后减,压实应变先减后增,能量吸收能力逐渐增强.
关键词 ：
强度匹配 强度匹配 能量吸收 能量吸收 破坏模式 破坏模式 抗压强度 抗压强度 陶粒泡沫混凝土 陶粒泡沫混凝土 压实应变 压实应变
引用：
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| GB/T 7714 | 王小娟 , 刘路 , 贾昆程 et al. 陶粒泡沫混凝土的力学性能及吸能特性 [J]. | 建筑材料学报 , 2021 , 24 (01) : 207-215 . |
| MLA | 王小娟 et al. "陶粒泡沫混凝土的力学性能及吸能特性" . | 建筑材料学报 24 . 01 (2021) : 207-215 . |
| APA | 王小娟 , 刘路 , 贾昆程 , 周宏元 . 陶粒泡沫混凝土的力学性能及吸能特性 . | 建筑材料学报 , 2021 , 24 (01) , 207-215 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
随着网络信息技术的发展,虚拟仿真技术开始应用于各行各业,伴随着虚拟仿真技术的不断提高,应用成本逐渐降低,虚拟仿真实验教学为高校培养高素质人才提供了重要途径。文章主要探讨大数据库依托下的虚拟仿真实验教学改进方法。首先描述了虚拟仿真实验教学的特点和教学过程中出现的主要问题,然后分析了大数据处理技术的潜在价值,详细阐述了大数据在虚拟仿真实验教学中的应用,最后提出了大数据应用虚拟仿真实验课程改革中面对的挑战和应对策略。应用大数据技术的虚拟仿真实验教学能有效提高整体教学效果,有利于为社会培养创新型人才。
关键词 ：
大数据 大数据 实验教学 实验教学 虚拟仿真实验 虚拟仿真实验
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| GB/T 7714 | 王小娟 , 周宏元 , 李秀杰 et al. 大数据在虚拟仿真实验教学中的应用 [J]. | 高教学刊 , 2021 , 7 (18) : 96-101 . |
| MLA | 王小娟 et al. "大数据在虚拟仿真实验教学中的应用" . | 高教学刊 7 . 18 (2021) : 96-101 . |
| APA | 王小娟 , 周宏元 , 李秀杰 , 石南南 , 刘元坤 . 大数据在虚拟仿真实验教学中的应用 . | 高教学刊 , 2021 , 7 (18) , 96-101 . |
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摘要 ：
Although fruitful research results have been achieved on the investigation of size effect of natural coarse aggregate concrete (NAC), limited research is devoted to the study on size effect of recycled coarse aggregate concrete (RAC). Meanwhile, the feasibility of applying these results on NAC to RAC is questionable. To this end, a synthesis of experimental studies with different recycled coarse aggregate (RCA) substitute rates (0%, 30%, 50%, 70% and 100%), different prismatic sizes of 70 x 70 x 210, 100 x 100 x 300, 150 x 150 x 450 and 200 x 200 x 600 mm are carried out to investigate the size effect of RAC with consideration of the influence of substitute rate. As a powerful complement to the experimental study, the meso-scale numerical simulation is carried out. These results show that increasing the specimen size and RCA substitute rate both leads to decreasing nominal compressive strength of RAC. Furthermore, the meso-scale numerical simulation results show that the oblique concentrated damage zone is more likely to form in the specimens with higher RCA substitute rates, which exhibits more significant size effect. In addition, the size effect law of RAC is established based on the empirical formula and back-propagation neural network, respectively, both providing an accurate prediction of nominal compressive strength of RAC with consideration of specimen size and RCA substitute rate, and the results provide some references for the design specification of RAC members.
关键词 ：
Back-propagation neural network Back-propagation neural network Recycled coarse aggregate concrete Recycled coarse aggregate concrete Recycled coarse aggregate substitute rate Recycled coarse aggregate substitute rate Static size effect Static size effect Uniaxial compression tests Uniaxial compression tests
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| GB/T 7714 | Zhou, Hongyuan , Zhou, Houzhan , Wang, Xiaojuan et al. Static size effect of recycled coarse aggregate concrete: Experimental study, meso-scale simulation, and theoretical analysis [J]. | STRUCTURES , 2021 , 34 : 2996-3012 . |
| MLA | Zhou, Hongyuan et al. "Static size effect of recycled coarse aggregate concrete: Experimental study, meso-scale simulation, and theoretical analysis" . | STRUCTURES 34 (2021) : 2996-3012 . |
| APA | Zhou, Hongyuan , Zhou, Houzhan , Wang, Xiaojuan , Cao, Wanlin , Song, Tianyi , Qiao, Qiyun . Static size effect of recycled coarse aggregate concrete: Experimental study, meso-scale simulation, and theoretical analysis . | STRUCTURES , 2021 , 34 , 2996-3012 . |
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摘要 ：
As a new composite material by adding ceramsite into foam concrete, lightweight aggregate foam concrete (LWAFC), mainly composed of cement, water, performed foam, and ceramsite, exhibits excellent compressive performance. To facilitate its application in structure protection where energy absorption is concerned, the responses of ceramsite foam concrete were investigated experimentally and numerically with meso-scale model. First, a compression test (loading rate of 5 mm/min) on cubic LWAFC specimens with side length of 100 mm was conducted, in which two different failure modes, namely foam concrete failure and through-ceramsite failure, were observed. Meanwhile, it was found that the compressive strength of LWAFC specimens increased with increasing foam concrete density. Based on synchrotron radiation CT on foam concrete, a two-dimensional meso-scale numerical model with size of 100 x 100 mm was established. The failure mode, compressive strength, plateau stress, and energy absorption capacity of the LWAFC with an averaged loading rate of 1 m/s were systematically investigated. In particular, the underlying mechanism for the two distinctive failure modes was revealed as the strength match between the foam concrete and ceramsite. Subsequently, the performance of LWAFC was significantly improved by reasonably designing the foam concrete and ceramsite with optimized strength match. (c) 2021 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
关键词 ：
Compressive strength Compressive strength Energy absorption Energy absorption Failure mode Failure mode Lightweight aggregate foam concrete Lightweight aggregate foam concrete Meso-scale model Meso-scale model Quasi-static compression Quasi-static compression
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| GB/T 7714 | Wang, Xiaojuan , Liu, Lu , Zhou, Hongyuan et al. Improving the compressive performance of foam concrete with ceramsite: Experimental and meso-scale numerical investigation [J]. | MATERIALS & DESIGN , 2021 , 208 . |
| MLA | Wang, Xiaojuan et al. "Improving the compressive performance of foam concrete with ceramsite: Experimental and meso-scale numerical investigation" . | MATERIALS & DESIGN 208 (2021) . |
| APA | Wang, Xiaojuan , Liu, Lu , Zhou, Hongyuan , Song, Tianyi , Qiao, Qiyun , Zhang, Hong . Improving the compressive performance of foam concrete with ceramsite: Experimental and meso-scale numerical investigation . | MATERIALS & DESIGN , 2021 , 208 . |
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摘要 ：
Swarm intelligence optimization algorithms have been widely used in structural identification due to its powerful search ability, while an unpleasant identification result is regularly achieved with predefined wide search range. To address this issue, a hybrid strategy, initially reducing search space by adaptive sampling test and then identifying the actual structural parameters with improved butterfly optimization algorithm (IBOA) in the reduced search range by adaptive search space reduction method, is proposed and employed in this paper. In one aspect, the clustering competition learning mechanism and the chaotic elite learning mechanism are introduced to improve the performance of butterfly optimization algorithm (BOA). In the other aspect, adaptive sampling test and search space reduction method are also developed for search space reduction of unknown parameters. Genetic algorithm, BOA, IBOA, and proposed hybrid sampling and IBOA (sampling-IBOA) are evaluated by numerical examples of simply-supported beam and truss structure, as well as an experimental test of steel grid benchmark structure for comparative study. In addition, the effect of the window width, four different sampling methods, hybrid Ham-IBOA and gradient search on application of the proposed sampling-IBOA method are further illustrated. The numerical and experimental results demonstrate that the proposed sampling-IBOA method can significantly improve computational efficiency and identification accuracy, especially for Hammersley sequence sampling among the four sampling methods.
关键词 ：
Hammersley sequence sampling Hammersley sequence sampling Improved butterfly optimization algorithm Improved butterfly optimization algorithm Sampling methods Sampling methods Structural identification Structural identification Swarm intelligence methods Swarm intelligence methods
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| GB/T 7714 | Zhou, Hongyuan , Zhang, Guangcai , Wang, Xiaojuan et al. Structural identification using improved butterfly optimization algorithm with adaptive sampling test and search space reduction method [J]. | STRUCTURES , 2021 , 33 : 2121-2139 . |
| MLA | Zhou, Hongyuan et al. "Structural identification using improved butterfly optimization algorithm with adaptive sampling test and search space reduction method" . | STRUCTURES 33 (2021) : 2121-2139 . |
| APA | Zhou, Hongyuan , Zhang, Guangcai , Wang, Xiaojuan , Ni, Pinghe , Zhang, Jian . Structural identification using improved butterfly optimization algorithm with adaptive sampling test and search space reduction method . | STRUCTURES , 2021 , 33 , 2121-2139 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
Most of the existing output-only damage detection methods require the number of sensors should be larger than the number of unknown excitation force, and the force location should be available. This paper presents a novel output-only damage detection method without these requirements. The proposed method is based on the correlation function of acceleration responses. When the structure is under white noise excitations (or ambient excitations), the correlation function of acceleration responses can be treated as free vibration responses with unknown initial conditions. The unknown structural parameters and initial conditions can be simultaneously identified by minimizing the difference between the measured and calculated correlation functions. The unknown initial conditions are identified with state space method and the unknown structural parameters are updated with sensitivity method. Numerical studies of a 2D truss and a five-bay 3D frame structure are conducted to demonstrate the accuracy, effectiveness, and robustness of the proposed method. Experimental studies on an eight-floor steel frame are further carried out. Results show that the proposed method is not only insensitive to environmental noise but also applicable when the number of sensors is less than that of unknown excitations. Also, the proposed method can be used for damage detection when the force location is unknown.
关键词 ：
condition assessment condition assessment damage detection damage detection output-only output-only structural health monitoring structural health monitoring system identification system identification
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| GB/T 7714 | Ni, Pinghe , Wang, Xiaojuan , Zhou, Hongyuan . Output-only structural damage detection under multiple unknown white noise excitations [J]. | STRUCTURAL ENGINEERING AND MECHANICS , 2021 , 79 (3) : 327-336 . |
| MLA | Ni, Pinghe et al. "Output-only structural damage detection under multiple unknown white noise excitations" . | STRUCTURAL ENGINEERING AND MECHANICS 79 . 3 (2021) : 327-336 . |
| APA | Ni, Pinghe , Wang, Xiaojuan , Zhou, Hongyuan . Output-only structural damage detection under multiple unknown white noise excitations . | STRUCTURAL ENGINEERING AND MECHANICS , 2021 , 79 (3) , 327-336 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
A new steel-polyurethane foam-steel-concrete-steel (SPUFSCS) panel, which consists of "soft" and "stiff" layers, was proposed and its impact resistant performance was experimentally, numerically and analytically studied. The front "soft" layer, including a steel plate and polyurethane foam (PUF), was designed for dissipating impact energy and reducing peak force transmitted to the rear "stiff" layer (i.e., SCS panel). The SCS panel with high strength and ductility was employed for resisting the transmitted impact force from PUF. Experimental studies on SPUFSCS panels under impact loading were first conducted by employing an instrumented drop weight impact test system to reveal their failure modes, impact force and displacement responses. The impact energy was found to be dissipated through local indentation and global deformation of the SPUFSCS panel. The Finite Element (FE) models of the tested SPUFSCS panels under impact loading were established and validated against the experimental results. Numerical results indicated that the impact energy dissipated by "soft" layer is higher than that of "stiff" layer, which demonstrated the benefits of employing "soft" layer on improving the impact resistance of the traditional SCS panel. In addition, an analytical model was also presented for predicting the displacement response of the SPUFSCS panel under impact loading. The analytical model was proven to be reasonable in predicting the displacement response by comparing with the experimental results.
关键词 ：
Analytical model Analytical model Composite panel Composite panel Impact response Impact response Polyurethane foam Polyurethane foam Steel-concrete-steel panel Steel-concrete-steel panel
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| GB/T 7714 | Wang, Yonghui , Chen, Junyi , Zhang, Rong et al. Impact response of steel-PU foam-steel-concrete-steel panel: Experimental, numerical and analytical studies [J]. | INTERNATIONAL JOURNAL OF IMPACT ENGINEERING , 2021 , 158 . |
| MLA | Wang, Yonghui et al. "Impact response of steel-PU foam-steel-concrete-steel panel: Experimental, numerical and analytical studies" . | INTERNATIONAL JOURNAL OF IMPACT ENGINEERING 158 (2021) . |
| APA | Wang, Yonghui , Chen, Junyi , Zhang, Rong , Zhai, Ximei , Lu, Jingyi , Zhou, Hongyuan et al. Impact response of steel-PU foam-steel-concrete-steel panel: Experimental, numerical and analytical studies . | INTERNATIONAL JOURNAL OF IMPACT ENGINEERING , 2021 , 158 . |
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