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Probabilistic Seismic Performance Assessment of an RC Bridge Considering Corrosion-Affected Bond-Slip and Steel Bar Buckling 考虑腐蚀影响粘结滑移和钢筋屈曲的RC桥梁概率抗震性能评估
IF 5 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-08-23 DOI: 10.1002/eqe.70045
Shaghayegh Abtahi, Yong Li

Reinforced concrete (RC) bridges are designed to remain safe and functional for their lifetime, during which the impacts of aging may result in performance degradation. Steel bar corrosion is one of the most common causes of structural performance degradation in RC structures subjected to earthquakes in seismic-prone areas. Therefore, to ensure the adequate seismic performance of RC bridges over the course of their life, it is necessary to investigate the effect of corrosion on seismic performance prediction. To this end, this research work uses the recently developed tools for seismic performance assessment, including advanced finite element (FE) modeling strategies for corroded RC structures. The newly developed advanced FE modeling strategy can capture the corrosion impact on bonding between steel bars and surrounding concrete, as well as the vulnerability of steel bars to buckling, in addition to other effects on the steel bar cross-sectional area, cover concrete spalling, and confinement level for core concrete. Using these newly developed strategies, the seismic performance of an RC bridge, impacted by corrosion over the course of its life, is examined in a probabilistic framework. In particular, it has been demonstrated that the conventional FE modeling approach, which neglects the corrosion-affected bond-slip and steel bar buckling, would lead to underestimated seismic risk for corroded RC bridges, specifically the seismic risk associated with the post-peak behavior.

钢筋混凝土(RC)桥梁的设计是为了在其使用寿命内保持安全和功能,在使用寿命期间,老化的影响可能导致性能下降。钢筋腐蚀是地震易发地区钢筋混凝土结构在地震作用下结构性能下降的最常见原因之一。因此,为了保证钢筋混凝土桥梁在其使用寿命期间具有足够的抗震性能,有必要研究腐蚀对抗震性能预测的影响。为此,本研究工作使用了最新开发的抗震性能评估工具,包括腐蚀RC结构的先进有限元(FE)建模策略。新开发的先进有限元建模策略可以捕获腐蚀对钢筋与周围混凝土之间粘结的影响,以及钢筋对屈曲的脆弱性,以及对钢筋横截面积,覆盖混凝土剥落和核心混凝土约束水平的其他影响。使用这些新开发的策略,在概率框架中检查了RC桥在其使用寿命期间受腐蚀影响的抗震性能。特别是,已有研究表明,传统的有限元建模方法忽略了腐蚀影响的粘结滑移和钢筋屈曲,将导致低估腐蚀RC桥梁的地震风险,特别是与峰后行为相关的地震风险。
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引用次数: 0
New Perspectives in Causal Relationships Between the Response of a Rocking Block and Intensity Measures via Ensemble Machine Learning Methodologies 通过集成机器学习方法研究摇摆块响应与强度测量之间因果关系的新视角
IF 5 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-08-22 DOI: 10.1002/eqe.70042
Stefan K. W. Chu, Anastasios I. Giouvanidis, Cheng Ning Loong, Elias G. Dimitrakopoulos

This paper investigates the ability of machine learning (ML) to characterise the response of rocking structures when subjected to recorded earthquakes. In particular, it uses the structural parameters of a rigid block and strong ground motion characteristics to train two random forest (RF) models. The first model predicts whether a block, given that it initiates rocking motion, overturns or undergoes safe rocking, and identifies the main variables, i.e., structural and ground motion features, that govern such classification. Provided no overturning occurs, the second RF model predicts the peak rocking rotation of a block under ground motion records. Importantly, this study also employs interpretable ML techniques (such as partial dependence plots and SHAP additive explanations) to identify causal relationships between strong ground motion parameters and rocking response. The analysis shows that under high-intensity earthquakes, the peak ground velocity (PGV) governs the overturning of a rocking block. For earthquakes of moderate intensity, overturning becomes a more interactive phenomenon where the PGV, frequency/period and duration characteristics of the seismic signal contribute. Finally, this research shows that high safe rocking amplitude is also interactive, with velocity, displacement, (mean) frequency/period, and duration characteristics of the ground excitation playing a pivotal role.

本文研究了机器学习(ML)在遭受记录地震时表征摇摆结构响应的能力。特别地,它使用刚性块体的结构参数和强地震动特征来训练两个随机森林(RF)模型。第一个模型预测了一个块体,如果它开始摇摆运动,是否倾覆或经历安全摇摆,并确定了主要变量,即结构和地面运动特征,控制这种分类。在没有发生倾覆的情况下,第二个RF模型预测了一个地块在地面运动记录下的峰值摇晃旋转。重要的是,本研究还采用了可解释的ML技术(如部分依赖图和SHAP加性解释)来确定强地震动参数和摇摆响应之间的因果关系。分析表明,在高烈度地震作用下,峰值地速度(PGV)支配着岩体的倾覆。对于中等烈度的地震,在地震信号的PGV、频率/周期和持续时间特征的作用下,倾覆成为一种更相互作用的现象。最后,本研究表明,高安全摇幅也是相互作用的,地面激励的速度、位移、(平均)频率/周期和持续时间特性起着关键作用。
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引用次数: 0
Online Cyber-Physical Neural Network Model for Real-Time Hybrid Simulation 实时混合仿真的在线网络-物理神经网络模型
IF 5 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-08-21 DOI: 10.1002/eqe.70036
Faisal Nissar Malik, Liang Cao, James Ricles, Austin Downey

Real-time hybrid simulation (RTHS) is an experimental testing methodology that divides a structural system into an analytical and an experimental substructure. The analytical substructure is modeled numerically, and the experimental substructure is modeled physically in the laboratory. The two substructures are kinematically linked together at their interface degrees of freedom, and the coupled equations of motion are solved in real-time to obtain the response of the complete system. A key challenge in applying RTHS to large or complex structures is the limited availability of physical devices, which makes it difficult to represent all required experimental components simultaneously. The present study addresses this challenge by introducing Online Cyber-Physical Neural Network (OCP-NN) models–neural network-based models of physical devices that are integrated in real-time with the experimental substructure during an RTHS. The OCP-NN framework leverages real-time data from a single physical device (i.e., the experimental substructure) to replicate its behavior at other locations in the system, thereby significantly reducing the need for multiple physical devices. The proposed method is demonstrated through RTHS of a two-story reinforced concrete frame subjected to seismic excitation and equipped with Banded Rotary Friction Dampers (BRFDs) in each story. BRFDs are challenging to model numerically due to their complex behavior which includes backlash, stick-slip phenomena, and inherent device dynamics. Consequently, BRFDs were selected to demonstrate the proposed framework. In the RTHS, one BRFD is modeled physically by the experimental substructure, while the other is represented by the OCP-NN model. The results indicate that the OCP-NN model can accurately capture the behavior of the device in real-time. This approach offers a practical solution for improving RTHS of complex structural systems with limited experimental resources.

实时混合仿真(RTHS)是一种将结构系统分为分析子结构和实验子结构的实验测试方法。对解析子结构进行了数值模拟,对实验子结构进行了实验室物理模拟。将两个子结构在其界面自由度处进行运动连接,实时求解运动耦合方程,得到整个系统的响应。将RTHS应用于大型或复杂结构的一个关键挑战是物理设备的有限可用性,这使得难以同时表示所有所需的实验组件。本研究通过引入在线网络-物理神经网络(OCP-NN)模型来解决这一挑战,该模型是基于神经网络的物理设备模型,在RTHS期间与实验子结构实时集成。OCP-NN框架利用来自单个物理设备(即实验子结构)的实时数据在系统中的其他位置复制其行为,从而显着减少了对多个物理设备的需求。通过在每层加装带状旋转摩擦阻尼器(brfd)的两层钢筋混凝土框架在地震激励下的RTHS验证了所提出的方法。由于brfd具有复杂的特性,包括间隙、粘滑现象和固有的器件动力学,因此对其进行数值模拟具有挑战性。因此,选择brfd来演示所建议的框架。在RTHS中,一个BRFD由实验子结构物理建模,而另一个BRFD由OCP-NN模型表示。结果表明,OCP-NN模型可以准确地实时捕捉设备的行为。该方法为在实验资源有限的情况下改善复杂结构体系的RTHS提供了一种实用的解决方案。
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引用次数: 0
Special Issue: Large-Scale Testing of Earthquake-Resistant Structures: Accomplishments and Future Challenges 特刊:大规模抗震结构测试:成就和未来挑战
IF 5 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-08-20 DOI: 10.1002/eqe.70043
Dimitrios G. Lignos, Larry A. Fahnestock

Summary

  • Advanced experimental techniques for dynamic and quasi-static testing

  • Quantification of system-level effects via physical experimentation

  • Robust identification of dynamic and mechanical properties of structures via state-of-the-art instrumentation

  • Techniques for robust data storage and curation that enable data reuse for contemporary research

  • Effective use of experimental data and methods for the further advancement of earthquake engineering

动态和准静态测试的先进实验技术通过物理实验量化系统级效应通过最先进的仪器对结构的动态和力学性能进行可靠的识别强大的数据存储和管理技术,使数据能够在当代研究中重用。有效地利用实验数据和方法,进一步推进地震工程
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引用次数: 0
Mitigation of Floating Roof Pounding in Storage Tanks Subjected to Seismic Loads 地震荷载作用下储罐浮顶冲击的缓解
IF 5 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-08-19 DOI: 10.1002/eqe.70044
Michela Salimbeni, Maurizio De Angelis, Mariano Ciucci

Floating roof tanks, which are utilized in a multitude of industrial facilities for the storage of volatile and flammable products, are particularly susceptible to seismic events. These events can result in substantial structural damage and hazardous material releases due to roof sinking and leading to rim fires. The metallic contact between the floating roof and the tank wall, induced by seismic roof oscillations, has been shown to generate sparks. These sparks, in the presence of flammable vapors, pose a significant risk during seismic events. This study investigates the interaction between the floating roof and the tank walls, with a focus on the role of the sealing system and the pounding dynamics during seismic events. Based on experimental findings of mechanical characterization of a spring in a typical sealing system, with a single-degree-of-freedom system with rigid pounding, the horizontal dynamics of the floating roof under seismic excitation were investigated. Then, a gap and a deformable, dissipative bumper system were designed to control the roof's oscillations and protect the sealing system. Seismic analyses demonstrated that the proposed bumpers significantly reduce the number and contact force of impacts, thereby mitigating the risk of generating sparks during the critical phase of maximum seismic energy. The optimized bumper design was found to be fully compatible with the operational conditions of the case study tank, offering an effective solution to improve the seismic safety of floating roof tanks in seismic-prone areas.

Summary:

  • Identifies fire hazards from roof-shell pounding in floating roof tanks, an issue overlooked in regulations.
  • Provides experimental characterization of sealing system stiffness and damping properties.
  • Demonstrates that conventional sealing systems lead to excessive oscillations and high contact forces (∼10⁴ kN) under seismic excitation, with an SDOF system.
  • Proposes deformable and dissipative bumpers to control displacements.
  • Conducts a parametric analysis to optimize bumper stiffness, damping, and gap size.
  • Confirms, through seismic simulations, that optimized bumpers dissipate energy effectively, minimizing impact velocities and enhancing seismic safety.
浮顶储罐在许多工业设施中用于储存挥发性和可燃产品,特别容易受到地震事件的影响。这些事件可能会导致严重的结构损坏和有害物质的释放,因为屋顶下沉并导致边缘火灾。浮顶与储罐壁之间的金属接触是由地震振动引起的,并产生火花。这些火花,在可燃蒸汽的存在下,在地震事件中构成重大危险。本研究研究了浮顶与储罐壁之间的相互作用,重点研究了密封系统的作用和地震事件时的冲击动力学。基于典型单自由度刚性冲击密封系统弹簧力学特性的实验结果,研究了地震作用下浮顶的水平动力特性。然后,设计了一个间隙和一个可变形的、耗散的保险杠系统来控制屋顶的振动,保护密封系统。地震分析表明,所提出的缓冲器显著减少了碰撞的次数和接触力,从而降低了在最大地震能量的关键阶段产生火花的风险。优化后的保险杠设计完全符合实例储罐的使用条件,为提高地震易发区浮顶储罐的抗震安全性提供了有效的解决方案。摘要:确定浮动顶罐顶壳撞击引起的火灾危险,这是法规中忽视的问题。提供密封系统刚度和阻尼特性的实验特性。证明了常规密封系统在地震激励下会导致过度振荡和高接触力(~ 10⁴kN)。提出可变形和耗散缓冲器来控制位移。进行参数化分析以优化保险杠刚度、阻尼和间隙大小。通过地震模拟证实,优化后的缓冲器可以有效地耗散能量,最大限度地降低冲击速度,提高地震安全性。
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引用次数: 0
Shake-Table Tests of a Low-Prestressed Self-Centering Braced Frame 低预应力自定心支撑框架振动台试验
IF 5 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-08-13 DOI: 10.1002/eqe.70040
Yi Xiao, Ying Zhou, Honghao Bai, Wenbo Tian, Marc O. Eberhard, John F. Stanton

Rapid functional recovery and minimal structural damage have become critical objectives in modern seismic design. To address this need, a Low-Prestressed Self-Centering (LPSC) brace was developed, providing reliable re-centering capacity with a low level of prestressing force. This study evaluates its structure-level seismic performance through shake-table tests on a 1/3-scale, two-story LPSC Braced Frame (LPSC-BF). The test building featured hinged column bases with pinned beam-to-column joints in one direction, and rotational-restrained column bases with shear beam-to-column joints in the other. A total of 60 tests, including unidirectional and bidirectional excitations of varying intensities, were conducted. The test building consistently achieved immediate occupancy performance, with plastic deformations confined to the steel dissipaters in the LPSC braces. These steel dissipaters were easily replaceable, enabling rapid post-earthquake repair. Despite a minor loss in prestressing force, the residual drift remained minimal throughout testing. The direction with hinged column bases exhibited a uniform drift distribution, whereas the direction with rotationally restrained bases showed a concentration of drift at the first story. Floor acceleration responses were generally lower than the code-predicted values. Overall, the test results demonstrate that the LPSC-BF is an attractive seismic resilient structural system.

功能的快速恢复和结构损伤的最小化已成为现代抗震设计的重要目标。为了满足这一需求,开发了一种低预应力自定心(LPSC)支撑,在低预应力水平下提供可靠的重新定心能力。本研究通过1/3比例的两层LPSC支撑框架(LPSC- bf)的振动台测试来评估其结构级抗震性能。试验建筑采用铰接柱基础,一个方向为钉住梁柱节点,另一个方向为约束转动柱基础,另一个方向为剪力梁柱节点。共进行了60次试验,包括不同强度的单向和双向激励。试验建筑始终如一地实现了即时使用性能,塑性变形仅限于LPSC支撑中的钢耗散器。这些钢制散热片很容易更换,能够在震后快速修复。尽管预应力损失很小,但在整个测试过程中,残余漂移仍然很小。铰接柱基础方向的位移分布较为均匀,而约束柱基础方向的位移集中在第一层。楼板加速度响应一般低于规范预测值。试验结果表明,LPSC-BF是一种极具吸引力的抗震弹性结构体系。
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引用次数: 0
Biaxial Shaking Table Tests on a Full-Scale Single-Story Traditional Greek Stone Masonry and Timber-Framed Composite Structure After Repairs 单层希腊传统石砌和木框复合结构修复后的双轴振动台试验
IF 5 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-08-07 DOI: 10.1002/eqe.70038
Lydia Panoutsopoulou, Charalampos Mouzakis

Repairs were carried out on a full-scale, single-story specimen of a traditional Ottoman-period Greek structure, comprising a stone masonry wall with timber ties and three timber-framed ones with fired clay brick infill, which had been subjected to biaxial shaking table tests. The connection between the walls was enhanced, as was the roof-level diaphragm. The timber-framed walls were clad with plywood panels and the cracks in the stone wall were repaired. The repaired specimen was then subjected to biaxial seismic tests, while its dynamic characteristics before and after seismic testing were determined with sine sweep tests. The repaired specimen safely withstood 22% increased base acceleration (0.44 g compared to 0.36 g for the As-built one), with damages concentrating in the stone wall, while the rocking mechanism of the timber-framed ones changed.

对一座奥斯曼时期希腊传统建筑的全尺寸单层样本进行了修复,该建筑包括一面带有木条的石砌墙和三面带有烧制粘土砖填充物的木结构墙,并进行了双轴振动台试验。墙壁之间的连接得到了加强,屋顶横隔膜也得到了加强。木构墙用胶合板覆盖,石墙的裂缝被修复。对修复后的试件进行双轴地震试验,并通过正弦扫描试验确定其地震试验前后的动力特性。修复后的试件安全承受了22%的基础加速度增加(0.44 g,而未修复时为0.36 g),损伤集中在石墙上,而木构墙的摇摆机制发生了变化。
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引用次数: 0
Seismic Behavior of Horizontal-Hole Interlocking Concrete Block-Confined Masonry Walls with Openings 带开口水平孔互锁混凝土砌块约束砌体墙的抗震性能
IF 5 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-08-02 DOI: 10.1002/eqe.70035
Zhanjiong Song, Jingshu Zhang, Lei Shuai, Shen Liu, Zheng Wang, Haixing Liu

To study the seismic behavior of horizontal-hole interlocking concrete block-confined masonry walls with openings, in-plane cyclic loading tests were conducted on specimens with no openings, a window opening, and a door opening. The results indicated that the specimens with no openings and window openings exhibited typical diagonal shear failures of the entire wall. However, the structure and bearing mode were changed by including a door opening. The door-opening specimen could no longer be analyzed as an entire confined masonry wall owing to its lateral resistance and failure modes. The tie columns on both sides and the adjacent masonry formed wall columns, and the lintel beam and masonry above the opening formed a wall beam. Under a horizontal force, localized shear failure occurred in the wall beam, which resembled the shear failure of the coupling beam of double-limb shear walls and was an expected failure mode. Finally, this study proposes a new method for analyzing the lateral resistance of confined masonry walls with openings, called the force transmission path method, with a maximum calculated difference of 8.51%. This reflected the lateral resistance contribution of the reinforced concrete lintel beams.

为了研究带开口的水平孔联锁混凝土砌块砌体墙的抗震性能,对无开口、开窗和开门的试件进行了面内循环加载试验。结果表明:不开孔和开窗试件表现为典型的全墙斜剪破坏;然而,通过增加一个门开口来改变结构和轴承模式。由于其侧向阻力和破坏模式,开门试件不能再作为一个整体进行分析。两侧系柱与相邻砌体构成墙柱,门梁与洞口上方砌体构成墙梁。在水平力作用下,墙梁发生局部剪切破坏,与双肢剪力墙连接梁的剪切破坏相似,是一种预期的破坏模式。最后,本文提出了一种新的分析开孔砌体墙体侧阻力的方法——传力路径法,最大计算差值为8.51%。这反映了钢筋混凝土门梁的侧向阻力贡献。
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引用次数: 0
Seismic Responses of Elastic Single-Degree-of-Freedom Oscillators Fixed on Controlled Rocking Isolation Systems with Flag-Shaped Hysteresis 旗形滞回控制隔震系统上弹性单自由度振子的地震响应
IF 5 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-08-02 DOI: 10.1002/eqe.70034
Lizi Cheng, Canxing Qiu, Xiuli Du

Free rocking isolation systems (FRIS), characterized by negative post-uplift stiffness, have demonstrated favorable seismic performance such as resonance avoidance and gravity-driven self-centering (SC); however, a key design challenge lies in simultaneously ensuring sufficient deformability of the rocking isolation story while effectively mitigating the seismic demand on the superstructure. To address this challenge, this study investigates controlled rocking isolation systems (CRIS) with flag-shaped (FS) hysteretic devices. An analytical model is developed for elastic single-degree-of-freedom (SDOF) oscillators (representing elastic low-to-medium rise frames) fixed on CRIS with FS hysteresis. A practical application using NiTi shape-memory alloy (SMA)-based rocking columns is proposed to realize the intended FS behavior. The analytical model is validated through comparisons with a newly developed finite element model in OpenSees. Dimensional analysis is employed to reduce the number of governing variables in the equations of motion, thereby facilitating the identification of fundamental similarities in seismic responses across different structural scales and loading conditions. Both case-to-case and statistical comparisons confirm the accuracy of the proposed model. Based on the validated model, parametric studies are performed to examine the effects of varying FS hysteretic parameters and seismic input characteristics on the structural seismic performance. The results further confirm that CRIS exhibit enhanced dynamic stability relative to FRIS. Furthermore, it is possible to achieve a balance between controlled rocking and minimized superstructure demand for CRIS with FS hysteresis.

自由隔震系统(FRIS)具有负的升后刚度特征,具有良好的抗震性能,如共振避免和重力驱动自定心(SC);然而,一个关键的设计挑战在于,在保证隔震层足够的可变形性的同时,有效地减轻上部结构的抗震需求。为了解决这一挑战,本研究研究了带有旗形(FS)滞后装置的可控摇隔离系统(CRIS)。建立了固定在具有FS滞回的CRIS上的弹性单自由度(SDOF)振子(代表弹性低至中升帧)的解析模型。提出了一种基于NiTi形状记忆合金(SMA)的摇摆柱的实际应用,以实现预期的FS行为。通过与OpenSees中新开发的有限元模型进行比较,验证了分析模型的有效性。量纲分析用于减少运动方程中控制变量的数量,从而有助于识别不同结构尺度和荷载条件下地震反应的基本相似性。具体情况和统计比较都证实了所提出模型的准确性。在验证模型的基础上,进行了参数化研究,考察了不同FS滞回参数和地震输入特征对结构抗震性能的影响。结果进一步证实,相对于FRIS, CRIS具有更强的动态稳定性。此外,对于具有FS迟滞的CRIS,可以在控制摇摆和最小化上层结构需求之间实现平衡。
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引用次数: 0
Physic-Law Integrated Neural Network for Nonlinear Seismic Demand Prediction 非线性地震需求预测的物理定律集成神经网络
IF 5 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-07-31 DOI: 10.1002/eqe.70032
Jian Zhong, Yiwei Shu, Hao Wang

Due to the structural parameters diversity, material attributes nonlinearity, and ground motions uncertainty, predicting the elastic-plastic seismic response of columns is challenging and crucial, particularly in near-fault areas where significant damage can occur. Traditional machine learning (ML) models have demonstrated powerful capabilities for predicting structural seismic demand. However, their difficulty in accurately capturing latent system nonlinearity and the challenges associated with quantifying the impact of pulse effects on structural seismic demand complicate their application in practical engineering. This study proposes an efficient, high-precision, and highly interpretable physic-law-integrated neural network (PLNN) method. It introduces a novel physic-law model (PLM), which establishes the relationship between the normalized period (pulse to structural fundamental period ratio) and seismic demand. In addition, this research examines and quantifies the effects of column properties and pulse attributes on the characteristic coefficients of the PLM using an artificial neural network model (ANN). This method provides a PLNN model for estimating seismic demand based on the structural parameters, material attributes, and seismic characteristics by integrating the ANN model with the PLM. The ability and stability of the PLNN are evaluated by comparing its prediction performance with that of a traditional ML model. The results indicated that the proposed PLNN model maintains high prediction accuracy and significantly enhances computational efficiency. The PLNN model in this research requires 10 neurons to achieve optimal fitting goodness, one-third of the number required by the corresponding ANN model. In addition, the accuracy of the PLNN model is twice that of the ANN model in small sample settings, indicating the stability of the PLNN.

由于结构参数的多样性、材料属性的非线性和地震动的不确定性,预测柱的弹塑性地震反应是具有挑战性和至关重要的,特别是在可能发生重大破坏的近断层区域。传统的机器学习(ML)模型在预测结构地震需求方面已经证明了强大的能力。然而,它们在准确捕获潜在系统非线性方面的困难,以及与量化脉冲效应对结构地震需求的影响相关的挑战,使它们在实际工程中的应用复杂化。本研究提出一种高效、高精度、高可解释性的物理定律集成神经网络(PLNN)方法。引入了一种新的物理定律模型(PLM),建立了归一化周期(脉冲与结构基本周期之比)与地震需求之间的关系。此外,本研究使用人工神经网络模型(ANN)检验和量化柱属性和脉冲属性对PLM特征系数的影响。该方法通过将人工神经网络模型与PLM相结合,建立了基于结构参数、材料属性和地震特征的地震需求估计的PLNN模型。通过与传统ML模型的预测性能比较,评价了该神经网络的预测能力和稳定性。结果表明,所提出的PLNN模型保持了较高的预测精度,并显著提高了计算效率。本研究中的PLNN模型需要10个神经元才能达到最优拟合优度,是相应ANN模型所需神经元数量的三分之一。此外,在小样本设置下,PLNN模型的精度是人工神经网络模型的两倍,表明了PLNN的稳定性。
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引用次数: 0
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