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Enhanced load-shape integrated measurement of plate structures based on matched section analysis 基于匹配截面分析的板式结构增强荷载-形状综合测量
IF 4.8 2区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2025-12-24 DOI: 10.1016/j.compstruc.2025.108083
Yanhao Guo , Yuhui Hu , Yan Zeng , Feifei Zhao , Hong Bao
Load and deformation measurement of plate structures are fundamental for structural design and health monitoring. However, existing methods are limited to independently reconstructing either deformation or load, without being capable of integrating sensing both the deformation and load in a unified sensing formulation. To address this gap, a matched-section discretization method is proposed, transforming the plate into two orthogonal sets of equivalent beam elements. The structural displacement field is formulated in terms of cross-sectional deformation parameters, internal force/moment parameters, and uniformly distributed loads. Mapping equations between discrete strain measurements and these parameters are then established. By inputting real-time discrete strain data, the least-squares inverse method is employed to simultaneously reconstruct the deformation and load distributions. The proposed method is validated through simulations and experiments on plate structures with varying thicknesses, boundary conditions, and load cases. In the simulation results, the maximum deformation sensing error is limited to 3.1%, and the load sensing error remains below 8.1% with one sensing element. These findings demonstrate the high accuracy and practical potential of the proposed approach in structural health monitoring and intelligent structural design.
板结构的荷载和变形测量是结构设计和健康监测的基础。然而,现有的方法仅限于单独重建变形或载荷,无法将变形和载荷集成到统一的传感公式中。为了解决这一缺陷,提出了一种匹配截面离散化方法,将板转化为两组正交的等效梁单元。结构位移场由截面变形参数、内力/弯矩参数和均布荷载组成。然后建立离散应变测量值与这些参数之间的映射方程。通过输入实时离散应变数据,采用最小二乘反算法同时重构变形和载荷分布。通过对不同厚度、边界条件和载荷情况下的板结构进行仿真和实验,验证了该方法的有效性。在仿真结果中,变形传感的最大误差控制在3.1%以内,负载传感的最大误差控制在8.1%以内。这些结果证明了该方法在结构健康监测和智能结构设计中的高精度和实用潜力。
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引用次数: 0
Efficient reliability-based design optimization of dynamic linear systems subjected to filtered white-noise inputs 滤波白噪声输入下动态线性系统的高效可靠性优化设计
IF 4.8 2区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2025-12-23 DOI: 10.1016/j.compstruc.2025.108047
Nir Itzhak Ben-Israel , Michalis Fragiadakis , Oren Lavan
This paper presents a reliability-based design optimization methodology for dynamic linear structural systems, subjected to filtered white-noise excitations. A novel double-loop approach is proposed, where both inner and outer optimization problems are efficiently solved using gradient-based algorithms, combining a specifically-tailored adjoint method for the sensitivity analyses, while the reliability analyses are carried out using the first-order-reliability-method (FORM). Key to the proposed approach is that the mean-square of the responses of interest is efficiently evaluated via the Lyapunov equations, which leads to faster and more efficient reliability-based designs. The application of the methodology is demonstrated in three examples in which control systems are optimized. First, a serviceability limit-state function is considered for a footbridge subjected to crowd load excitation. The footbridge vibrations are controlled by viscous dampers and tuned-mass dampers. Second, a limit-state function is considered for a bending moment frame, undergoing a seismic event. The interstorey drifts of the frame are controlled one time by viscous dampers and another time by tuned-mass-dampers. Third, a large benchmark frame is optimized. Verification of the probability of failure achieved via the first-order-reliability-method is performed using Monte Carlo simulations (MCS), showing good agreement between the two methods. A clear resemblance is shown between optimal design achieved via zero-order method, although with significantly reduced computational cost.
本文提出了一种基于可靠性的动态线性结构系统的优化设计方法。提出了一种新的双环方法,利用基于梯度的算法有效地解决内外优化问题,结合专门定制的伴随方法进行灵敏度分析,而可靠性分析则使用一阶可靠性方法(FORM)进行。该方法的关键是通过李雅普诺夫方程有效地评估感兴趣的响应的均方,从而实现更快,更有效的基于可靠性的设计。通过三个优化控制系统的实例说明了该方法的应用。首先,考虑了人群荷载作用下人行桥的可用性极限状态函数。人行桥的振动由粘性阻尼器和调谐质量阻尼器控制。其次,考虑了受地震作用的弯矩框架的极限状态函数。框架的层间漂移分别由粘性阻尼器和调谐质量阻尼器控制。第三,对大型基准框架进行优化。利用蒙特卡罗模拟(MCS)验证了一阶可靠度法获得的失效概率,结果表明两种方法具有较好的一致性。通过零阶方法实现的优化设计有明显的相似之处,尽管大大降低了计算成本。
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引用次数: 0
Experimental and numerical analysis of angle-ply laminated plates based on a refined higher-order theory 基于改进高阶理论的角层合板试验与数值分析
IF 4.8 2区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2025-12-23 DOI: 10.1016/j.compstruc.2025.108078
Jie Mei , Shengbo Ling , Yunhao Huang
Accurately predicting the deformation of composite laminates is challenging due to the zig-zag effect in in-plane displacements, which arises from significant stiffness differences between layers. To address these limitations, this study proposes a novel Angle-ply Higher-order Deformation Theory coupled with a computationally efficient refined finite element, to investigate the bending response of angle-ply hybrid composite laminates. The AHDT is established via a global–local concept, utilizing Legendre polynomials to capture the zig-zag effect and interlaminar stress continuity phenomenon. The corresponding triangular element implements this model using C⁰ and C1 continuities, ensuring high accuracy and computational efficiency. The accuracy and computational efficiency of the model are rigorously assessed through comparisons with three-dimensional elastic solutions and a three-dimensional finite element model. Furthermore, validation is provided via three-point bending tests on carbon/glass fiber hybrid composites, with full-field deformation measured using Digital Image Correlation. Both theoretical and experimental results confirm that the stacking sequence is the predominant factor affecting flexural stiffness, outweighing both material type and ply orientation. A change in the stacking sequence alone can reduce deflection by up to 70.77%. Consequently, this study conclusively shows that a rational design of the stacking sequence, material combination, and ply orientation is critical for optimizing the flexural performance of composite laminates.
由于层间显著的刚度差异导致的平面内位移呈锯齿状,因此准确预测复合材料层合板的变形具有挑战性。为了解决这些限制,本研究提出了一种新的角铺层高阶变形理论,结合计算效率高的精细有限元,来研究角铺层混杂复合材料层合板的弯曲响应。AHDT是通过全局-局部概念建立的,利用勒让德多项式来捕捉锯齿效应和层间应力连续性现象。相应的三角形单元使用C⁰和C1连续性实现该模型,确保高精度和计算效率。通过与三维弹性解和三维有限元模型的比较,严格评估了模型的精度和计算效率。此外,通过碳/玻璃纤维混合复合材料的三点弯曲测试提供了验证,并使用数字图像相关测量了全场变形。理论和实验结果均证实,叠层顺序是影响抗弯刚度的主要因素,其影响大于材料类型和铺层方向。仅改变堆叠顺序就可以减少高达70.77%的挠度。因此,本研究最终表明,合理设计叠层顺序、材料组合和层向是优化复合材料层合板抗弯性能的关键。
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引用次数: 0
Structural verification of a gravity dam under seismic action using machine learning 地震作用下重力坝结构的机器学习验证
IF 4.8 2区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2025-12-22 DOI: 10.1016/j.compstruc.2025.108077
Neander Berto Mendes , Lineu José Pedroso
Dams play a critical role in hydroelectric power generation, a strategic and renewable energy source. However, their potential for collapse poses significant risks, including environmental damage and loss of life. Ensuring dam safety, especially under seismic loading, requires detailed analysis of the interaction between structure, fluid, and foundation soil. This study proposes an integrated approach using Artificial Intelligence and Machine Learning to assess the seismic stability of gravity dams. A finite element model was developed for a dam-reservoir-foundation system, incorporating spatial variability in the concrete’s elastic modulus through a stochastic simulation based on a continuous random field with a normalized correlation length of 0.10. The simulation results were used to train decision tree-based ML algorithms. Among them, the Extreme Gradient Boosting (XGBoost) model exhibited the highest predictive performance, achieving a correlation coefficient of 92.64 % on the test set. XGBoost was employed to estimate displacements and tensile stresses at critical locations, such as the neck and heel of the dam, where the maximum stress reached 9.36 MPa. Validation with additional simulations demonstrated prediction errors below 6.61 %, indicating strong agreement with the finite element results. This approach contributes to risk identification and supports more effective maintenance and safety management of dam infrastructure.
水力发电是一种战略性的可再生能源,水坝在水力发电中发挥着关键作用。然而,它们倒塌的可能性带来了重大风险,包括环境破坏和生命损失。确保大坝安全,特别是在地震荷载作用下,需要对结构、流体和地基土之间的相互作用进行详细的分析。本研究提出了一种利用人工智能和机器学习的综合方法来评估重力坝的地震稳定性。建立了大坝-水库-基础系统的有限元模型,通过基于归一化相关长度为0.10的连续随机场的随机模拟,考虑了混凝土弹性模量的空间变异性。仿真结果用于训练基于决策树的机器学习算法。其中,极端梯度增强(Extreme Gradient Boosting, XGBoost)模型的预测性能最高,在测试集上的相关系数达到92.64%。利用XGBoost对坝体颈部和坝后跟等关键部位的位移和拉应力进行估算,其中最大应力达到9.36 MPa。通过额外的模拟验证,预测误差低于6.61%,表明与有限元结果非常吻合。这种方法有助于风险识别,并支持更有效的大坝基础设施维护和安全管理。
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引用次数: 0
Numerical modelling of reinforced concrete using lattice particle method with extension to FSI-induced structural failure via SPH coupling 基于点阵粒子法的钢筋混凝土数值模拟,并将其推广到SPH耦合下的fsi结构破坏
IF 4.8 2区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2025-12-21 DOI: 10.1016/j.compstruc.2025.108075
W.C. Low , K.C. Ng , Kaiwei Tian , H.K. Ng
In this paper, a fluid structure interaction (FSI) solver based on smoothed particle hydrodynamics (SPH) and lattice particle method (LPM) is further developed to model FSI phenomena with structural failure involving concrete and reinforced concrete (RC). First, the development of the LPM structural solver to model reinforced concrete is presented. An explicit return-mapping algorithm is proposed in the framework of LPM to model the failure of reinforced concrete structures. The predictive capability and generality of the proposed LPM model is assessed against experimental results covering wide range of failure modes seen in RC beams. Key features of the flexural and shear failure in RC beams are captured by the model. With particle size refinement, the structural response and crack pattern show consistent results. Upon verification of the structural solver, the coupled SPH-LPM method is applied to simulate several FSI test cases with solid fracture. Finally, the capability of the current method in tackling complex, real-world FSI cases with structural failure is demonstrated through the test case of failure of plain and reinforced concrete wall due to tsunami-type wave.
本文基于光滑颗粒流体力学(SPH)和点阵颗粒法(LPM)进一步开发了流固耦合(FSI)求解器,用于模拟混凝土和钢筋混凝土(RC)结构破坏时的流固耦合现象。首先,介绍了用于模拟钢筋混凝土的LPM结构求解器的发展。在LPM框架下,提出了一种明确的回归映射算法来模拟钢筋混凝土结构的破坏。根据试验结果对所提出的LPM模型的预测能力和通用性进行了评估,该模型涵盖了RC梁中广泛的破坏模式。该模型捕捉了钢筋混凝土梁受弯和受剪破坏的关键特征。随着颗粒尺寸的细化,结构响应和裂纹模式呈现一致的结果。在验证结构求解器的基础上,应用耦合SPH-LPM方法模拟了多个实体断裂的FSI试验用例。最后,通过海啸型波浪造成的普通和钢筋混凝土墙体破坏的试验案例,证明了当前方法在处理复杂的、真实的结构破坏的FSI案例中的能力。
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引用次数: 0
A reaction–diffusion level set method for stress-constrained topology optimization with precise volume control 一种具有精确体积控制的应力约束拓扑优化反应扩散水平集方法
IF 4.8 2区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2025-12-12 DOI: 10.1016/j.compstruc.2025.108073
Dachen Gao , Hongduo Zhao , Ke Cheng , Yuxuan Xia , Haoyu Chen , Yaowen Yang
This paper presents a reaction–diffusion equation (RDE) driven level set method (LSM) for topology optimization (TO) that enforces both stress and volume constraints simultaneously. The method introduces a locally activated stress penalty that operates only where the allowable limit is exceeded, eliminating the need for global aggregation and improving fidelity in hot-spot regions. A refined in-element triangulation strategy provides accurate volume fractions without remeshing, enabling precise volume tracking on fixed structured meshes. Structural evolution is governed by RDE, enabling hole nucleation during optimization and eliminating the need for level set reinitialization. Numerical experiments in 2D and 3D demonstrate that the proposed method yields designs that satisfy the prescribed local stress limits and target volume fractions while achieving stable, efficient convergence.
提出了一种同时施加应力约束和体积约束的反应扩散方程驱动的水平集拓扑优化方法。该方法引入了局部激活的应力惩罚,仅在超过允许极限时才起作用,从而消除了全局聚合的需要,并提高了热点区域的保真度。精细化的单元内三角测量策略提供精确的体积分数,而无需重新网格划分,从而在固定结构网格上实现精确的体积跟踪。结构演化由RDE控制,在优化过程中实现了孔核,消除了水平集重新初始化的需要。二维和三维的数值实验表明,所提出的方法能够满足规定的局部应力极限和目标体积分数,同时实现稳定、高效的收敛。
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引用次数: 0
An experimental assessment of ground-borne vibration impact of tramcars 有轨电车地面振动冲击试验研究
IF 4.8 2区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2025-12-12 DOI: 10.1016/j.compstruc.2025.108069
L. Faccini, F. Castellini, E. Di Gialleonardo, S. Alfi, S. Bionda, R. Corradi
Ground-borne vibrations from rail transit systems present challenges in urban areas due to their effects on structures and human comfort. This study introduces a falling mass impact setup to estimate the transmissibility between the track and a receiver in the surrounding area. This enables the calculation of the Line Source Transfer Mobility (LSTM), required by the U.S. Federal Transit Administration (FTA) to assess ground-borne vibrations from rail vehicles. The falling mass method offers higher energy input and better repeatability than traditional impact hammers, making it suitable for evaluating soil and building transmissibility even at long distances. Transfer mobilities obtained with this method are validated against hammer-based measurements. Vibration levels produced by a modern tramcar running at 10, 30, and 50 km/h are measured at various distances and normalised using the corresponding LSTM, in line with the FTA Detailed Assessment Method. Force Density Levels (FDLs) are calculated for each speed, with the highest values at 50 km/h. A strong consistency of FDLs across distances confirms the method’s robustness. This integrated experimental approach offers a reliable framework for characterising vibration sources and supports the assessment of vehicles and infrastructure planning in areas sensitive to vibration.
轨道交通系统的地面振动对城市结构和人体舒适度的影响给城市带来了挑战。本研究引入了一个落体碰撞装置来估计轨道与周围区域接收器之间的传递率。这使得计算线源转移移动性(LSTM)成为可能,这是美国联邦运输管理局(FTA)评估轨道车辆地面振动的要求。与传统的冲击锤相比,下落质量法提供了更高的能量输入和更好的重复性,使其适用于评估土壤和建筑的长距离传递性。用该方法获得的传递迁移率与基于锤的测量结果进行了验证。以每小时10公里、30公里和50公里的速度行驶的现代有轨电车所产生的振动水平,在不同的距离上进行测量,并根据自由贸易协定详细评估方法,使用相应的LSTM进行归一化。力密度水平(fdl)计算为每一个速度,最高的值在50公里/小时。fdl跨距离的强一致性证实了该方法的鲁棒性。这种综合实验方法为表征振动源提供了可靠的框架,并支持对振动敏感地区的车辆和基础设施规划进行评估。
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引用次数: 0
High-order time-spectral BEM for efficient elastodynamic analysis 高效弹性动力学分析的高阶时谱边界元
IF 4.8 2区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2025-12-11 DOI: 10.1016/j.compstruc.2025.108076
Yan Gu , Wenzhen Qu , Chuanzeng Zhang , Vladimir Babeshko , Yuri V. Petrov
This study presents a novel boundary element method (BEM) framework for the accurate and efficient numerical solution of elastodynamic problems. By reformulating the time-derivative terms as equivalent body forces, the method enables the use of static fundamental solutions for dynamic analysis, thereby eliminating the need for frequency-domain transformations or the construction of complex time-dependent Green’s functions. In the temporal domain, instead of directly approximating the time-differentiation operators, a more stable time-spectral integration technique based on orthogonal polynomial expansions is introduced. This scheme can, in principle, achieve arbitrary-order of accuracy in the temporal space and eliminate the strict time-step limitations inherent in conventional finite-difference-based schemes. Moreover, the resulting coefficient matrix is time-independent and therefore needs to be computed only once for the entire time-marching process. To evaluate domain integrals, discontinuous triangular elements are employed for spatial discretization, and a scaled coordinate transformation (SCT) technique is employed to address singularities arising from source-field point coincidences. Preliminary numerical experiments in elastodynamic analysis demonstrate that the proposed framework is robust and flexible for long-time dynamic simulations, particularly in problems involving rapid transients or complex geometries.
本文提出了一种新的边界元法框架,用于精确、高效地求解弹性动力学问题。通过将时间导数项重新表述为等效体力,该方法可以使用静态基本解进行动态分析,从而消除了频域变换或构建复杂的时间相关格林函数的需要。在时域中,引入了一种基于正交多项式展开的更稳定的时谱积分技术,而不是直接逼近微分算子。该方案原则上可以在时间空间上实现任意阶的精度,消除了传统有限差分方案固有的严格的时间步长限制。此外,得到的系数矩阵是时间无关的,因此在整个时间推进过程中只需要计算一次。在计算域积分时,采用不连续三角形单元进行空间离散,并采用缩放坐标变换(SCT)技术处理源场点重合引起的奇异点。弹性动力学分析的初步数值实验表明,所提出的框架对于长时间的动态模拟具有鲁棒性和灵活性,特别是在涉及快速瞬态或复杂几何形状的问题中。
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引用次数: 0
First-order equivalent static loads for dynamic response structural optimization 一阶等效静荷载的动力响应结构优化
IF 4.8 2区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2025-12-11 DOI: 10.1016/j.compstruc.2025.108071
Mordechay Buzaglo , Nicolò Pollini
A novel first-order equivalent static loads approach for optimization of structural dynamic response, F-ESL, is presented and compared with the basic equivalent static load formulation, ESL. F-ESL simplifies dynamic optimization problems by converting them into a series of static optimization sub-problems. The ESL algorithm in its original formulation does not have a guaranteed capability of reaching, or recognizing, final designs that satisfy the necessary first-order optimality conditions. F-ESL addresses this limitation by including first-order terms directly into the equivalent static load definition. This new mathematical information guides the optimization algorithm more effectively toward solutions that satisfy both feasibility and optimality conditions. Using reproducible numerical examples, we show that F-ESL overcomes the known limitations of the original ESL, often with a few outer function evaluations and fast convergence. At the same time, F-ESL maintains ESL simplicity, robustness, and ease of implementation, providing practitioners with an effective tool for structural dynamic optimization problems.
提出了一种新的一阶等效静荷载优化方法F-ESL,并与基本等效静荷载公式ESL进行了比较。F-ESL将动态优化问题简化为一系列静态优化子问题。原始形式的ESL算法不能保证达到或识别满足必要的一阶最优性条件的最终设计。F-ESL通过将一阶项直接纳入等效静态载荷定义来解决这一限制。这种新的数学信息引导优化算法更有效地求解同时满足可行性和最优性条件的解。通过可重复的数值例子,我们证明了F-ESL克服了原始ESL的已知局限性,通常只需要少量的外部函数计算和快速收敛。同时,F-ESL保持了ESL的简单性、鲁棒性和易于实现性,为从业者提供了解决结构动态优化问题的有效工具。
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引用次数: 0
Predicting probabilistic flexural strength of corroded reinforced concrete columns based on physics-informed GPR model 基于物理信息GPR模型的锈蚀钢筋混凝土柱概率抗弯强度预测
IF 4.8 2区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2025-12-08 DOI: 10.1016/j.compstruc.2025.108074
Pengfei Zhang , Qiang Zhang , Weiwei Xie , Bo Yu
A physics-informed Gaussian process regression (PI-GPR) model for predicting the probabilistic flexural strength of corroded reinforced concrete (RC) columns was developed based on the multi-level embedding strategy. According to the moment equilibrium conditions, a physical model representing the flexural mechanism of corroded RC columns was established first. Subsequently, the multi-level embedding strategy was adopted to develop the PI-GPR model by constraining the mean, kernel, and loss functions hierarchically. Meanwhile, an adaptive trade-off between physical priors and data features was achieved by adding the dynamic coefficients that are continuously updated as training data changes. Then the PI-GPR model was applied to predict the probabilistic flexural strength of corroded RC columns. Finally, the effectiveness of the PI-GPR model was validated by comparing it with traditional prediction methods. Analysis results show that the PI-GPR model, which integrates the physical constraints with data-driven learning, demonstrates excellent performance and robust uncertainty quantification. Compared with traditional GPR, the PI-GPR ensures high physical consistency of predictions, which not only achieves an average improvement of 20% in confidence interval coverage when the training set proportion was only 30%, but also reduces the mean absolute error and root mean square error for edge samples by 23% and 21%, respectively.
基于多层嵌入策略,建立了一种基于物理信息的高斯过程回归(PI-GPR)模型,用于腐蚀钢筋混凝土柱的概率抗弯强度预测。根据弯矩平衡条件,首先建立了腐蚀钢筋混凝土柱受弯机理的物理模型。随后,采用多层嵌入策略,对均值、核函数和损失函数进行分层约束,建立PI-GPR模型。同时,通过添加随训练数据变化而不断更新的动态系数,实现了物理先验和数据特征之间的自适应权衡。然后应用PI-GPR模型对锈蚀钢筋混凝土柱的概率抗弯强度进行预测。最后,通过与传统预测方法的比较,验证了PI-GPR模型的有效性。分析结果表明,PI-GPR模型将物理约束与数据驱动学习相结合,具有良好的性能和鲁棒性。与传统GPR相比,PI-GPR保证了预测的高物理一致性,在训练集比例仅为30%的情况下,置信区间覆盖率平均提高20%,边缘样本的平均绝对误差和均方根误差分别降低23%和21%。
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引用次数: 0
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