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学者姓名：张笑华
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Abstract ：
Structural modal identification is generally implemented within a dynamic framework, requiring multidisciplinary knowledge and adequate operational experience. This preliminary study attempts to explore an easy-to-handle quasi-static alternative method for dynamics-based modal identification of beam-type structures. Acceleration time-history data are replaced by quasi-static deflections induced by slow moving loads. A concept of quasi-static deflection influence surface is proposed based on the theory of influence lines and the principle of virtual work. Its analytical expression is simplified into a deflection matrix by choosing specific points on the surface according to deflection measurement coordinates. The matrix form is divided by external loads to obtain a generalised quasi-static flexibility matrix, which is used to replace the inversion of the global stiffness matrix in the modal eigenvalue equation. The lumped-mass method is also employed to establish the mass matrix. Subsequently, the eigenvalue equation is analytically solved seeking for modal frequencies and mode shapeswithout performing modal tests. The feasibility of the proposed method has been successfully verified against three experimental examples including a continuous box girder with variable cross sections. It was observed that the modal frequencies and mode shapes estimated by the proposed method were very close to those given by the dynamically modal tests.
Keyword ：
generalised quasi-static flexibility matrix generalised quasi-static flexibility matrix modal eigenvalue equation modal eigenvalue equation modal parameter estimation modal parameter estimation quasi-static deflection influence surface quasi-static deflection influence surface Structural dynamics Structural dynamics
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| GB/T 7714 | Fang, Sheng-En , Huang, Ji-Yuan , Zhang, Xiao-Hua . Quasi-static testing based structural modal parameter estimation [J]. | NONDESTRUCTIVE TESTING AND EVALUATION , 2024 . |
| MLA | Fang, Sheng-En 等. "Quasi-static testing based structural modal parameter estimation" . | NONDESTRUCTIVE TESTING AND EVALUATION (2024) . |
| APA | Fang, Sheng-En , Huang, Ji-Yuan , Zhang, Xiao-Hua . Quasi-static testing based structural modal parameter estimation . | NONDESTRUCTIVE TESTING AND EVALUATION , 2024 . |
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为实现结构易损性的智能化推理，提出以贝叶斯网络(Bayesian networks, BNs)重构桁架结构的易损性分析体系。首先，分别定义外荷载、体系和杆件为网络顶层父节点、中间节点和底层子节点，节点间通过有向弧表示因果关系，形成BN拓扑；接着，提出以杆件“大损伤”替代传统的“概念移除”方式，考虑杆件参数及外荷载的不确定性，结合抽样实现对节点间条件概率表的学习，完成BN的构建；然后将特定杆件的观测状态作为证据输入BN,同步推理其他杆件的节点状态概率，进而计算杆件的重要性系数，并定义所有杆件的重要性系数之和为体系的易损性系数；最后，提出杆件易损指标，作为预测桁架体系最可能失效路径的依据。研究结果表明：所提方法能更合理地评价各杆件在体系中的重要性，推理得到的杆件破坏路径与试验观测一致，所计算的试验桁架体系易损性系数远小于杆件数目，表明当前荷载组合下特定杆件的损伤引起体系发生连续性倒塌的可能性较小。
Keyword ：
体系易损性系数 体系易损性系数 杆件易损指标 杆件易损指标 杆件重要性系数 杆件重要性系数 结构工程 结构工程 贝叶斯网络 贝叶斯网络
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| GB/T 7714 | 方圣恩 , 俞其康 , 张笑华 et al. 基于贝叶斯网络的结构易损性智能推理 [J]. | 自然灾害学报 , 2024 , 33 (03) : 130-136 . |
| MLA | 方圣恩 et al. "基于贝叶斯网络的结构易损性智能推理" . | 自然灾害学报 33 . 03 (2024) : 130-136 . |
| APA | 方圣恩 , 俞其康 , 张笑华 , 林友勤 . 基于贝叶斯网络的结构易损性智能推理 . | 自然灾害学报 , 2024 , 33 (03) , 130-136 . |
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This pedagogical study aimed to demonstrate an updated Building Information Modelling (BIM) educational activity in CEM (i.e., construction engineering and management) students’ final semester project. It investigated students’ perceptions of BIM and the project. Student feedback provided insights for linking education to practice, for example, what caused differences between manual estimates and BIM-generated quantity take-off. Four different project deliverable options demonstrated how educational theories could be embedded in BIM education. The novelty of this study lies in two aspects: firstly, this pedagogical research views the CEM education at the curriculum level by linking earlier years’ core CEM courses into the final project work; secondly, by designing four different options of BIM-related deliverables, subgroup analyses test how different factors, such as teamwork verse individual work, and BIM application level, could affect students’ learning outcomes. The current study also led to more future explorations in research-informed teaching in the CEM curriculum. © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
Keyword ：
Architectural design Architectural design Computational electromagnetics Computational electromagnetics Construction Construction Curricula Curricula E-learning E-learning Engineering education Engineering education Engineering research Engineering research Information theory Information theory Students Students Teaching Teaching
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| GB/T 7714 | Wang, Liyuan , Huang, Meiping , Zhang, Xiaohua et al. Incorporating BIM into the upper-division curriculum of construction engineering and management [J]. | European Journal of Engineering Education , 2023 , 48 (3) : 482-501 . |
| MLA | Wang, Liyuan et al. "Incorporating BIM into the upper-division curriculum of construction engineering and management" . | European Journal of Engineering Education 48 . 3 (2023) : 482-501 . |
| APA | Wang, Liyuan , Huang, Meiping , Zhang, Xiaohua , Yan, Xueyuan , Jin, Ruoyu , Wanatowski, Dariusz et al. Incorporating BIM into the upper-division curriculum of construction engineering and management . | European Journal of Engineering Education , 2023 , 48 (3) , 482-501 . |
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以一个资金不足的建材供应商与一个建材制造商组成的二级供应链为研究对象，结合激励理论，分别建立工程供应链赊销激励模型和贷款激励模型，分析信息对称与否和是否进行赊销对各决策变量的影响。结果表明：无论赊销与否，相较于信息对称情形，信息不对称将会进一步导致工程供应链最优订货量向下扭曲；与贷款交易相比，赊销交易一定程度上缓解了工程供应链最优订货量的扭曲；在信息不对称情形下，为了甄别建材制造商的真实生产成本，激励建材制造商进行赊销交易扩大商品订货量，从而降低工程供应链滞销风险，建材供应商愿意以牺牲自身利益为代价。
Keyword ：
不对称信息 不对称信息 委托-代理 委托-代理 工程供应链 工程供应链 贷款 贷款 赊销 赊销
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| GB/T 7714 | 黄梅萍 , 陈羿霏 , 张笑华 . 不对称信息下工程供应链赊销交易分析 [J]. | 武汉理工大学学报(信息与管理工程版) , 2023 , 45 (03) : 397-403 . |
| MLA | 黄梅萍 et al. "不对称信息下工程供应链赊销交易分析" . | 武汉理工大学学报(信息与管理工程版) 45 . 03 (2023) : 397-403 . |
| APA | 黄梅萍 , 陈羿霏 , 张笑华 . 不对称信息下工程供应链赊销交易分析 . | 武汉理工大学学报(信息与管理工程版) , 2023 , 45 (03) , 397-403 . |
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为缓解结构健康实时监测中因为海量数据导致的数据采集、存储和传输成本高的问题，采用压缩感知理论结合迭代阈值法对数据进行压缩采样；然后用多任务贝叶斯压缩感知重构算法，通过少量采样数据恢复原始信号.利用吉安大桥的现场环境振动试验数据，验证结合迭代阈值法的多任务贝叶斯压缩感知重构算法的有效性及可行性.研究结果表明，相比于传统的正交匹配追踪算法、单任务贝叶斯压缩感知算法和多任务贝叶斯压缩感知算法，利用结合迭代阈值法的多任务贝叶斯压缩感知重构算法计算得到的重构信号与原始信号吻合度更好，性能更优.
Keyword ：
信号重构 信号重构 压缩感知 压缩感知 多任务贝叶斯 多任务贝叶斯 结构健康监测 结构健康监测 迭代阈值法 迭代阈值法
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| GB/T 7714 | 刘婷婷 , 张笑华 , 方圣恩 . 结合迭代阈值法的多任务贝叶斯压缩感知结构振动信号重构 [J]. | 福州大学学报(自然科学版) , 2023 , 51 (02) : 184-190 . |
| MLA | 刘婷婷 et al. "结合迭代阈值法的多任务贝叶斯压缩感知结构振动信号重构" . | 福州大学学报(自然科学版) 51 . 02 (2023) : 184-190 . |
| APA | 刘婷婷 , 张笑华 , 方圣恩 . 结合迭代阈值法的多任务贝叶斯压缩感知结构振动信号重构 . | 福州大学学报(自然科学版) , 2023 , 51 (02) , 184-190 . |
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Abstract ：
针对结构健康监测因海量数据导致的数据传输和储存压力大,以及实际振动信号受外界环境噪声影响导致稀疏性较差的问题,提出融合阈值法的贝叶斯压缩感知振动信号重构算法.引入贝叶斯压缩感知理论对数据进行压缩采样,融合阈值法增强信号的稀疏度以改善后续信号重构的精度,然后用快速超参数估计法估计稀疏向量,以高精度和高概率地恢复原始信号.利用江西省吉安大桥的环境振动试验数据验证融合阈值法的贝叶斯压缩感知振动信号重构算法的有效性和可行性.研究结果表明,使用阈值法的贝叶斯压缩感知信号重构算法精度要优于未使用算法重构的振动信号得到的结果,尤其是高压缩比的情况下.
Keyword ：
信号重构 信号重构 结构监测 结构监测 贝叶斯压缩感知 贝叶斯压缩感知 阈值法 阈值法
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| GB/T 7714 | 张笑华 , 刘婷婷 , 陈富强 et al. 融合阈值法的贝叶斯压缩感知振动信号重构 [J]. | 水利与建筑工程学报 , 2023 , 21 (6) : 22-28,62 . |
| MLA | 张笑华 et al. "融合阈值法的贝叶斯压缩感知振动信号重构" . | 水利与建筑工程学报 21 . 6 (2023) : 22-28,62 . |
| APA | 张笑华 , 刘婷婷 , 陈富强 , 何鹏 , 阮翔愉 . 融合阈值法的贝叶斯压缩感知振动信号重构 . | 水利与建筑工程学报 , 2023 , 21 (6) , 22-28,62 . |
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Abstract ：
为缓解结构健康实时监测中因为海量数据导致的数据采集、存储和传输成本高的问题，采用压缩感知理论结合迭代阈值法对数据进行压缩采样； 然后用多任务贝叶斯压缩感知重构算法，通过少量采样数据恢复原始信号。利用吉安大桥的现场环境振动试验数据，验证结合迭代阈值法的多任务贝叶斯压缩感知重构算法的有效性及可行性。研究结果表明，相比于传统的正交匹配追踪算法、单任务贝叶斯压缩感知算法和多任务贝叶斯压缩感知算法，利用结合迭代阈值法的多任务贝叶斯压缩感知重构算法计算得到的重构信号与原始信号吻合度更好，性能更优。
Keyword ：
信号重构 信号重构 压缩感知 压缩感知 多任务贝叶斯 多任务贝叶斯 结构健康监测 结构健康监测 迭代阈值法 迭代阈值法
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| GB/T 7714 | 刘婷婷 , 张笑华 , 方圣恩 . 结合迭代阈值法的多任务贝叶斯压缩感知结构振动信号重构 [C] //第十届全国再生混凝土学术交流会暨第六届全国建筑固废学术交流会论文集 . 2023 : 184-190 . |
| MLA | 刘婷婷 et al. "结合迭代阈值法的多任务贝叶斯压缩感知结构振动信号重构" 第十届全国再生混凝土学术交流会暨第六届全国建筑固废学术交流会论文集 . (2023) : 184-190 . |
| APA | 刘婷婷 , 张笑华 , 方圣恩 . 结合迭代阈值法的多任务贝叶斯压缩感知结构振动信号重构 第十届全国再生混凝土学术交流会暨第六届全国建筑固废学术交流会论文集 . (2023) : 184-190 . |
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桥梁结构实时健康监测中存在因为海量数据导致的数据传输和存储成本大的问题,而压缩感知理论的提出为解决该问题提供了全新的思路。压缩感知理论与传统的Nyquist采样定理相比,优势在于它可以实现用少量的采样数据恢复较为准确的原始信号。然而,恢复原始信号是一个病态逆向问题,因此如何求解这个病态逆向问题和提高压缩感知信号重构的精度引起了许多学者的关注。本文融合Karhunen-Loeve (K-L)变换和近似正交三角(QR)分解来优化压缩感知理论中的观测矩阵,增大观测矩阵列向量之间独立性的同时减小观测矩阵与稀疏基之间的相关性,以满足感知矩阵需具备有限等距性质(Restricted Isometry Property,RIP)的要求,从而提高振动响应信号压缩感知重构的精度和效率。以吉安大桥的环境振动试验加速度动力响应信号为研究对象,进行压缩感知信号重构分析。分析结果表明所提的观测矩阵优化方法相比单独使用K-L变换和近似QR分解优化观测矩阵,可得到更高精度的重构响应信号,且具有更简便和高效的优点;压缩感知重构信号不论在时域还是在频域,其精度均高于未优化观测矩阵重构的结果,重构的信号与原始信号吻合良好。
Keyword ：
信号重构 信号重构 动力响应 动力响应 压缩感知 压缩感知 结构健康监测 结构健康监测 观测矩阵优化 观测矩阵优化
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| GB/T 7714 | 肖兴勇 , 张笑华 , 方圣恩 et al. 基于压缩感知的桥梁结构动力响应信号重构 [C] //第九届全国结构抗振控制与健康监测学术会议 . 2023 . |
| MLA | 肖兴勇 et al. "基于压缩感知的桥梁结构动力响应信号重构" 第九届全国结构抗振控制与健康监测学术会议 . (2023) . |
| APA | 肖兴勇 , 张笑华 , 方圣恩 , 王渠 . 基于压缩感知的桥梁结构动力响应信号重构 第九届全国结构抗振控制与健康监测学术会议 . (2023) . |
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发展基于Pareto多目标人工鱼群算法（Multi-Objective Artificial Fish Swarm Algorithm,MO-AFSA），解决结构健康监测中传感器位置多目标优化的问题。构建与观测模态线性独立性、结构损伤灵敏度和损伤信息冗余性有关的传感器位置多目标优化目标函数；改进人工鱼群算法的追尾和觅食行为，并引入外部档案集以处理寻优过程中的互不支配解，结合Pareto概念选取与理想点欧式距离最近的Pareto解为最优解；以三层平面钢框架结构为数值算例，用基于Pareto人工鱼群算法求解传感器位置多目标优化方案，并进行结构损伤识别。研究结果表明：用所提方法得到的传感器测点在结构...
Keyword ：
Pareto多目标优化 Pareto多目标优化 人工鱼群算法 人工鱼群算法 传感器位置优化 传感器位置优化 结构健康监测 结构健康监测
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| GB/T 7714 | 张笑华 , 吴圣斌 , 方圣恩 et al. 采用Pareto人工鱼群算法的结构健康监测传感器位置多目标优化 [J]. | 振动工程学报 , 2022 , 35 (02) : 351-358 . |
| MLA | 张笑华 et al. "采用Pareto人工鱼群算法的结构健康监测传感器位置多目标优化" . | 振动工程学报 35 . 02 (2022) : 351-358 . |
| APA | 张笑华 , 吴圣斌 , 方圣恩 , 陈凌秀 . 采用Pareto人工鱼群算法的结构健康监测传感器位置多目标优化 . | 振动工程学报 , 2022 , 35 (02) , 351-358 . |
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High data transmission and storage cost caused by massive data collected is a critical problem in bridge structural health monitoring. Thus the compressed sensing theory is introduced in this paper to reduce the sampling. The conventional measurement matrix is optimized to reduce the coherence between the measurement matrix and sparse basis, which is benefit for accurately reconstructing the original dynamic responses with a limited sampling data. The field test data under ambient vibration of Ji'an Bridge is utilized to verify the feasibility and effectiveness of the proposed structural dynamic response reconstruction method for bridges based on compressed sensing. The studied results include: the reconstructed response based on compressed sensing agrees well with the original response in time domain; when the compression ratio is more than 20%, the relative errors of the reconstructed response maintain less than 10%; the reconstructed responses using optimized measurement matrix provide higher accuracy than those using initial measurement matrix, especially in the case of lower compression ratio, resulting in reduction of data collection; the spectrum of the reconstructed response using optimized measurement matrix is smoother and matches well with the original response spectrum, and the peaks of the spectrum can be picked accurately; in contrast, the spectrum of the reconstructed response without optimization of the measurement matrix has more misjudgment of peaks, and some peaks even cannot be identified; the measurement matrix optimization method can be applied to random Gaussian matrix, Bernoulli matrix and sparse random matrix. The results demonstrate that the proposed structural dynamic response reconstruction method for bridges based on compressed sensing is an effective way to accurately reconstruct original dynamic response with a limited sampling data. © 2022, Editorial Board of Journal of Vibration Engineering. All right reserved.
Keyword ：
Compressed sensing Compressed sensing Data compression Data compression Data reduction Data reduction Digital storage Digital storage Dynamic response Dynamic response Matrix algebra Matrix algebra Structural dynamics Structural dynamics Structural health monitoring Structural health monitoring Time domain analysis Time domain analysis
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| GB/T 7714 | Zhang, Xiaohua , Xiao, Xingyong , Fang, Shengen . Dynamic response reconstruction for bridge structural health monitoring based on compressed sensing [J]. | Journal of Vibration Engineering , 2022 , 35 (3) : 699-706 . |
| MLA | Zhang, Xiaohua et al. "Dynamic response reconstruction for bridge structural health monitoring based on compressed sensing" . | Journal of Vibration Engineering 35 . 3 (2022) : 699-706 . |
| APA | Zhang, Xiaohua , Xiao, Xingyong , Fang, Shengen . Dynamic response reconstruction for bridge structural health monitoring based on compressed sensing . | Journal of Vibration Engineering , 2022 , 35 (3) , 699-706 . |
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