[
  {
    "doi": "10.1016/j.aei.2025.104256",
    "slug": "latent-diffusion-damping-microstructures",
    "title": "Latent diffusion–driven inverse design of damping microstructures with multiaxial nonlinear mechanical targets",
    "authors": [
      {
        "given": "Tianyang",
        "family": "Zhang"
      },
      {
        "given": "Weizhi",
        "family": "Xu"
      },
      {
        "given": "Shuguang",
        "family": "Wang"
      },
      {
        "given": "Dongsheng",
        "family": "Du"
      }
    ],
    "journal": "Advanced Engineering Informatics",
    "year": 2026,
    "publicationDateParts": [
      2026,
      4
    ],
    "volume": "71",
    "issue": "",
    "pages": "104256",
    "articleNumber": "104256",
    "abstract": "This study presents an integrated generative framework for the inverse design of damping microstructures in energy-dissipating steel walls (EDSWs) for seismic applications, establishing a seamless pipeline from large-scale pixel-based datasets to latent-space representation, three-dimensional reconstruction, industrial fabrication, and finite element analysis (FEA) verification. Starting from over 140,000 boundary-identical microstructures, a variational autoencoder-based TopoFormer compresses geometric features into latent codes, enabling over 90% reduction in generation complexity while maintaining high reconstruction fidelity. Representative structures are selected via k-means clustering in the latent space and analyzed through nonlinear FEA under shear and compression to construct a performance-labeled dataset. A conditional latent diffusion transformer (DiT) is then trained to map complete nonlinear mechanical performance curves to manufacturable geometries, thus achieving a one-to-many correspondence between target responses and structural configurations. Comparative evaluations show that the proposed DiT framework surpasses multiple CondUNet baselines, achieving the lowest FID (11.367) and the highest SSIM (0.676) with balanced coverage and precision. Experimental validation using laser-cut low-yield-point steel specimens under low-cycle reciprocating loading demonstrates close agreement between generated and target hysteresis curves, confirming both geometric fidelity and mechanical reliability. The results establish a scalable, high-accuracy, and experimentally validated approach for automated, performance-driven microstructure design, providing a practical pathway for incorporating generative artificial intelligence into the engineering development of next-generation seismic energy-dissipation systems. The related codes are available at https://github.com/AshenOneme/DiT-Based-Microstructures-Design.",
    "metadataSource": "https://api.crossref.org/works/10.1016/j.aei.2025.104256",
    "abstractSource": "https://doi.org/10.1016/j.aei.2025.104256",
    "abstractSourcePage": 1
  },
  {
    "doi": "10.1016/j.asoc.2025.114194",
    "slug": "multidampgen-multiscale-microstructures",
    "title": "MultiDampGen: A self-constraint latent diffusion framework for multiscale energy-dissipating microstructure generation",
    "authors": [
      {
        "given": "Tianyang",
        "family": "Zhang"
      },
      {
        "given": "Weizhi",
        "family": "Xu"
      },
      {
        "given": "Shuguang",
        "family": "Wang"
      },
      {
        "given": "Dongsheng",
        "family": "Du"
      }
    ],
    "journal": "Applied Soft Computing",
    "year": 2026,
    "publicationDateParts": [
      2026,
      1
    ],
    "volume": "186",
    "issue": "",
    "pages": "114194",
    "articleNumber": "114194",
    "abstract": "This study proposes MultiDampGen, a physics‐informed latent diffusion framework that generates multiscale, shear‐dominated damping microstructures aimed at seismic energy dissipation. The framework integrates a topology transformer (TopoFormer) for attention-enhanced latent compression, a residual-based self-constraint validator (RSV) for direct hysteresis prediction, and a latent diffusion physics mapper (LDPM) for conditional synthesis. A dataset comprising 50,000 finite‐element–computed hysteresis curves under cyclic shear loading was constructed as the foundation of the proposed framework. Experimental results show that TopoFormer achieves a structural similarity index (SSIM) of 0.998 while reducing generative complexity by over 90 %, and RSV predicts complete hysteretic responses with an R2 exceeding 0.98. MultiDampGen can generate microstructures meeting specified mechanical performance and scale requirements with deviations within 10 %, even under conflicting constraints such as a large scale combined with low load‐bearing capacity. The framework enables efficient exploration of non-intuitive yet physically consistent designs, advances the application of generative artificial intelligence in earthquake engineering, and offers new insights for the development of next-generation energy dissipation systems.",
    "metadataSource": "https://api.crossref.org/works/10.1016/j.asoc.2025.114194",
    "abstractSource": "https://doi.org/10.1016/j.asoc.2025.114194",
    "abstractSourcePage": 1
  },
  {
    "doi": "10.1016/j.tws.2025.113865",
    "slug": "self-supervised-diffusion-walls",
    "title": "Inverse design of energy-dissipating steel plate walls based on self-supervised diffusion models",
    "authors": [
      {
        "given": "Tianyang",
        "family": "Zhang"
      },
      {
        "given": "Yinxiao",
        "family": "Lv"
      },
      {
        "given": "Tong",
        "family": "Liu"
      },
      {
        "given": "Weizhi",
        "family": "Xu"
      },
      {
        "given": "Shuguang",
        "family": "Wang"
      },
      {
        "given": "Dongsheng",
        "family": "Du"
      },
      {
        "given": "Aiguo",
        "family": "Zhao"
      }
    ],
    "journal": "Thin-Walled Structures",
    "year": 2025,
    "publicationDateParts": [
      2025,
      12
    ],
    "volume": "217",
    "issue": "",
    "pages": "113865",
    "articleNumber": "113865",
    "abstract": "This research proposes a novel energy-dissipating system integrating non-structural infill walls and energy-dissipating steel plate walls (EDWs) to improve the seismic performance of frame-infill wall structures. Based on the diffusion model, a self-supervised inverse design model (SSIDM) is developed to enhance the design accuracy of complex EDWs. SSIDM is developed by constructing a pre-trained hysteresis performance prediction network (HPPN) and a microstructure generation network (DiffEDW). During the microstructure generation process, a discriminator is employed to predict the overall mechanical performance of the EDW. In cases where the mechanical performance does not meet the expected demands, additional Gaussian random noise is introduced, and the generation process is repeated until an EDW structure that satisfies the hysteresis performance target is obtained. SSIDM learns the conditional distribution of microstructures corresponding to a given complete hysteresis performance, enabling a one-to-many mapping from attributes to geometry. Ablation experiments demonstrate that the self-supervised diffusion model with the HPPN generates EDWs with smaller errors in the finite element analysis (FEA) results and mechanical performance targets compared to the model without the HPPN. This study reveals that the self-supervised method offers significant advantages in generating periodic large-scale complex topologies and demonstrates potential for accelerating multi-scale structure generation. The dataset and related code are available at https://github.com/AshenOneme/SSIDM.",
    "metadataSource": "https://api.crossref.org/works/10.1016/j.tws.2025.113865",
    "abstractSource": "https://doi.org/10.1016/j.tws.2025.113865",
    "abstractSourcePage": 1
  },
  {
    "doi": "10.1016/j.engstruct.2024.118529",
    "slug": "self-centering-damage-evolution",
    "title": "Study on the evolution of dynamic characteristics and seismic damage of a self-centering concrete structure based on data-driven methods",
    "authors": [
      {
        "given": "Tianyang",
        "family": "Zhang"
      },
      {
        "given": "Weizhi",
        "family": "Xu"
      },
      {
        "given": "Shuguang",
        "family": "Wang"
      },
      {
        "given": "Dongsheng",
        "family": "Du"
      },
      {
        "given": "Qisong",
        "family": "Miao"
      }
    ],
    "journal": "Engineering Structures",
    "year": 2024,
    "publicationDateParts": [
      2024,
      10
    ],
    "volume": "316",
    "issue": "",
    "pages": "118529",
    "articleNumber": "118529",
    "abstract": "This study concerns on the dynamic characteristics and seismic damage evaluation of a representative precast self-centering concrete frame (PSCCF) structure. A numerical model of the PSCCF was established using OpenSees software, and incremental dynamic analyses (IDA) were carried out. The structural frequency was obtained from displacement time-history responses using a synchrosqueezing continuous wavelet transform (SSQCWT), and the time-frequency distributions were statistically analysed. During seismic excitations, both the medium structural frequency and the post-seismic frequency of the PSCCF decrease with an increase in peak ground acceleration (PGA). The results demonstrated that the PSCCF suffered irreversible damage under significant deformation, also confirmed by the relatively large elongation rates of the post-tensioned (PT) strands and unbonded energy-dissipating bars (EDBs). Furthermore, this research uses convolutional neural networks (CNN) to predict the damage state of PSCCF, and employs gradient-weighted class activation mapping (Grad-CAM) and Gradient-Shap techniques to interpret the convolutional layers. The interpreted results show that the algorithm tends to use lower-frequency signal components to predict the structural damage state, and the data-driven results are consistent with human experience.",
    "metadataSource": "https://api.crossref.org/works/10.1016/j.engstruct.2024.118529",
    "abstractSource": "https://doi.org/10.1016/j.engstruct.2024.118529",
    "abstractSourcePage": 1
  },
  {
    "doi": "10.1016/j.engstruct.2023.117264",
    "slug": "damped-structure-response-prediction",
    "title": "Seismic response prediction of a damped structure based on data-driven machine learning methods",
    "authors": [
      {
        "given": "Tianyang",
        "family": "Zhang"
      },
      {
        "given": "Weizhi",
        "family": "Xu"
      },
      {
        "given": "Shuguang",
        "family": "Wang"
      },
      {
        "given": "Dongshen",
        "family": "Du"
      },
      {
        "given": "Jun",
        "family": "Tang"
      }
    ],
    "journal": "Engineering Structures",
    "year": 2024,
    "publicationDateParts": [
      2024,
      2
    ],
    "volume": "301",
    "issue": "",
    "pages": "117264",
    "articleNumber": "117264",
    "abstract": "Damping technology has been widely used because of its good vibration control effect. However, due to the strong nonlinearity of the added dampers, accurately predicting the seismic response of damped structures remains a challenge. This study investigates the application of interpretable machine learning (ML)-based and deep learning-based approaches to the prediction of the maximum inter-storey displacement of a damped structure. A comprehensive database consisting of 13,855 structural responses to ground motions was collected. Seven traditional interpretable ML algorithms including random forest and extreme gradient boosting (XGBoost), a convolutional neural network based on large receptive field, and seismic wave transformer (SWT) model based on a transformer network were developed. The predictions show that the error of the SWT based on unsupervised feature extraction is reduced by 50.90% compared with that of the optimal XGBoost in ensemble learning. Although the SWT has the highest global accuracy, XGBoost is found to have a smaller error when the structure is in a linear state with peak ground acceleration as partition index, so an aggregation model (AM)-based structural response prediction method was also proposed. The accuracy of the AM improved by 27.95% compared with that of the SWT. In contrast with other ML models, the proposed AM is more advantageous in terms of computational efficiency and accuracy.",
    "metadataSource": "https://api.crossref.org/works/10.1016/j.engstruct.2023.117264",
    "abstractSource": "https://doi.org/10.1016/j.engstruct.2023.117264",
    "abstractSourcePage": 1
  },
  {
    "doi": "10.1016/j.jobe.2023.108062",
    "slug": "earthquake-damaged-hybrid-connections",
    "title": "Seismic behavior of earthquake-damaged hybrid connections reinforced with replaceable energy-dissipating elements",
    "authors": [
      {
        "given": "Tianyang",
        "family": "Zhang"
      },
      {
        "given": "Weizhi",
        "family": "Xu"
      },
      {
        "given": "Shuguang",
        "family": "Wang"
      },
      {
        "given": "Dongsheng",
        "family": "Du"
      },
      {
        "given": "Linlin",
        "family": "Xie"
      },
      {
        "given": "Qisong",
        "family": "Miao"
      }
    ],
    "journal": "Journal of Building Engineering",
    "year": 2023,
    "publicationDateParts": [
      2023,
      12
    ],
    "volume": "80",
    "issue": "",
    "pages": "108062",
    "articleNumber": "108062",
    "abstract": "In recent years, self-centering post-tensioned concrete structures have received extensive research attention owing to their excellent seismic performance and post-earthquake functional recoverability. This study entailed the development of a novel repair method for earthquake-damaged unbonded post-tensioned hybrid connections (PTHCs) by using a novel energy-dissipating device to improve seismic resilience. To investigate the effectiveness of the repair method, four connections with different degrees of seismic damage were repaired using different repair methods, and quasi-static experiments were then conducted. The test variables included the position of the glass fiber-reinforced polymer (GFRP) arrangement, connection method of energy-dissipating devices, number of replaceable energy-dissipating elements (REDEs) of the damper, and initial prestressing force of post-tensioned (PT) strands. The experimental results indicate that the proposed repair methods can recover the lost capacities of PTHCs, and the mechanical properties of the reinforced self-centering precast connections (RSCPCs) can even be restored by replacing the REDEs under a second rare earthquake. The proposed energy-dissipating device facilitates increase or decrease of the REDEs to meet the energy dissipation and stiffness targets of the component for different levels of earthquake damage. The calculation results based on the recovery force model were in good agreement with the test results, showing that the proposed model could reasonably predict the hysteresis behavior of the RSCPCs.",
    "metadataSource": "https://api.crossref.org/works/10.1016/j.jobe.2023.108062",
    "abstractSource": "https://doi.org/10.1016/j.jobe.2023.108062",
    "abstractSourcePage": 1
  },
  {
    "doi": "10.1016/j.engfailanal.2025.109371",
    "slug": "masonry-damage-inversion",
    "title": "Rapid inversion of seismic damage to masonry infill walls based on diffusion models",
    "authors": [
      {
        "given": "Tianyang",
        "family": "Zhang"
      },
      {
        "given": "Yujie",
        "family": "Lu"
      },
      {
        "given": "Yijie",
        "family": "Cai"
      },
      {
        "given": "Weizhi",
        "family": "Xu"
      },
      {
        "given": "Shuguang",
        "family": "Wang"
      },
      {
        "given": "Dongsheng",
        "family": "Du"
      },
      {
        "given": "Qisong",
        "family": "Miao"
      }
    ],
    "journal": "Engineering Failure Analysis",
    "year": 2025,
    "publicationDateParts": [
      2025,
      4
    ],
    "volume": "171",
    "issue": "",
    "pages": "109371",
    "articleNumber": "109371",
    "abstract": "Masonry infill walls, which are weak links in current seismic designs, rely on numerical simulations to evaluate their seismic performance. As traditional macroscopic and microscopic finite element modelling (FEM) cannot simultaneously account for the damage evolution process and achieve sufficient computational efficiency for masonry infill walls, this study developed a damage inversion model (DIM) for infill walls based on diffusion models. The DIM can extract features from the macroscopic interstory deformation process of existing structures and use them as prompts to directly generate the damage factor distribution of masonry infill walls under the corresponding conditions. By varying the sampling steps and noise schedule in the DIM generation process, it was found that for the denoising diffusion probabilistic model (DDPM), the sampling steps should be set to over 500 to achieve a structural similarity (SSIM) of 0.87 compared with the microscopic FEM results. Conversely, the diffusion exponential integrator sampler (DEIS) can achieve a DDPM accuracy of 90.51% using only 1% of the DDPM sampling steps, balancing computational efficiency and predictive accuracy. Therefore, the DEIS has the potential to be developed into larger, more complex models for predicting the damage distribution of infill walls throughout the entire seismic process.",
    "metadataSource": "https://api.crossref.org/works/10.1016/j.engfailanal.2025.109371",
    "abstractSource": "https://doi.org/10.1016/j.engfailanal.2025.109371",
    "abstractSourcePage": 1
  },
  {
    "doi": "10.1007/s12205-024-2019-y",
    "slug": "isolated-long-span-roof-shaking-table",
    "title": "Shaking Table Tests and Numerical Analysis of the Interaction of a Base-isolated Steel Frame's Responses with a Long-span Roof",
    "authors": [
      {
        "given": "Tianyang",
        "family": "Zhang"
      },
      {
        "given": "Haoru",
        "family": "Guo"
      },
      {
        "given": "Yunlong",
        "family": "Zhang"
      },
      {
        "given": "Weizhi",
        "family": "Xu"
      },
      {
        "given": "Shuguang",
        "family": "Wang"
      },
      {
        "given": "Dongsheng",
        "family": "Du"
      }
    ],
    "journal": "KSCE Journal of Civil Engineering",
    "year": 2024,
    "publicationDateParts": [
      2024
    ],
    "volume": "28",
    "issue": "8",
    "pages": "3301-3321",
    "articleNumber": "",
    "abstract": "Seismic isolation technology has been extensively used in long-span spatial structures to alleviate losses caused by earthquake disasters. However, limited experimental studies have been conducted to examine the impact of horizontal and vertical vibrations in long-span roof structures with rubber bearings as isolation layers on the isolation effect. This paper presents a study that carried out shaking table experiments on 1/40 scale long-span steel frames, both with and without base isolation. It explores the interplay of horizontal and vertical vibrations in long-span roof structures equipped with rubber bearings, and its influence on the isolation effect. Three ground motions, including horizontal bidirectional (2D) and bidirectional-plus-vertical (3D) components were used as the seismic excitations. The whole structural dynamic responses of the base-isolation (BI) model and fixed-base (FB) model, the local responses of the grids and isolation bearings were measured. Under 2D seismic excitation, the grid layer in the FB model exhibits a substantial vertical acceleration response. When exposed to 3D seismic activity, the isolation system successfully delivers its expected isolation outcome. Although the isolation bearings could not attenuate the vertical seismic acceleration response induced by vertical ground motion, they effectively reduced the vertical dynamic response generated by the coupling by suppressing the horizontal seismic response.",
    "metadataSource": "https://api.crossref.org/works/10.1007/s12205-024-2019-y",
    "abstractSource": "https://doi.org/10.1007/s12205-024-2019-y",
    "abstractSourcePage": 1
  },
  {
    "doi": "10.1016/j.jobe.2022.105049",
    "slug": "pc-panel-reinforced-masonry",
    "title": "Experimental and numerical investigation on the seismic performance of masonry walls reinforced by PC panels",
    "authors": [
      {
        "given": "Weizhi",
        "family": "Xu"
      },
      {
        "given": "Tianyang",
        "family": "Zhang"
      },
      {
        "given": "Xi",
        "family": "Chen"
      },
      {
        "given": "Qisong",
        "family": "Miao"
      },
      {
        "given": "Shuguang",
        "family": "Wang"
      },
      {
        "given": "Dongsheng",
        "family": "Du"
      }
    ],
    "journal": "Journal of Building Engineering",
    "year": 2022,
    "publicationDateParts": [
      2022,
      10
    ],
    "volume": "58",
    "issue": "",
    "pages": "105049",
    "articleNumber": "105049",
    "abstract": "The use of precast reinforced concrete (PC) panels to strengthen existing old masonry structures was presented in this study. Quasi-static tests were done on one unreinforced masonry wall and three reinforced wall specimens with varied connection forms to study the seismic performance of the masonry walls reinforced by PC panels and verify the effectiveness of the applied connection forms. The hysteretic response of all reinforced masonry walls differed significantly when different connection forms were applied, according to experimental results. Based on the experimental results, the proposed reinforcement method using one-sided connected PC panels can effectively improve the seismic performance of existing masonry walls in terms of shear strength, stiffness, and energy dissipation capacity. Finally, the numerical simulation models for the specimens were established to further investigate the damage mechanisms, and the hysteresis curves and failure modes of specimens obtained from numerical analysis were in good agreement with the experimental results, indicating that the proposed analytical model can be practically used to predict the performance of masonry structures strengthened by the new reinforcement technique.",
    "metadataSource": "https://api.crossref.org/works/10.1016/j.jobe.2022.105049",
    "abstractSource": "https://doi.org/10.1016/j.jobe.2022.105049",
    "abstractSourcePage": 1
  },
  {
    "doi": "10.1016/j.istruc.2023.05.027",
    "slug": "post-tensioned-energy-dissipating-connections",
    "title": "Experimental and numerical investigations on novel post-tensioned precast beam-to-column energy-dissipating connections",
    "authors": [
      {
        "given": "Shuguang",
        "family": "Wang"
      },
      {
        "given": "Tianyang",
        "family": "Zhang"
      },
      {
        "given": "Weizhi",
        "family": "Xu"
      },
      {
        "given": "Dongsheng",
        "family": "Du"
      },
      {
        "given": "Yunlong",
        "family": "Zhang"
      }
    ],
    "journal": "Structures",
    "year": 2023,
    "publicationDateParts": [
      2023,
      8
    ],
    "volume": "54",
    "issue": "",
    "pages": "117-133",
    "articleNumber": "",
    "abstract": "This paper proposes novel self-centering post-tensioned hybrid connections (PTHC) with energy-dissipating elements, with assembly requiring grouting only once and convenient construction. To investigate the seismic performance of the hybrid connections, cast-in-place beam-to-column and assembled monolithic beam-to-column connection specimens were designed as comparison test specimens. Subsequently, four PTHC specimens with different test variables— restraint conditions of beam end, unbonded lengths of the energy-dissipating elements, energy-dissipating material, and initial prestress were designed and investigated by quasistatic experiments. The test results showed that the designed PTHC specimens had high energy dissipation capacity, good self-centering capacity, high ductility, and low accumulated damage. Concrete restraints at the beam end effectively restrained the buckling behavior of the energy-dissipating elements. Finally, numerical simulation models of the PTHC specimens were established to further investigate the effects of the design parameters on the bearing and energy dissipation capacity. Combined with the test results, the PTHC specimens were found to have good seismic resilience. Balancing the contributions of the energy-dissipating elements and prestress to the load carrying capacity appeared to be critical.",
    "metadataSource": "https://api.crossref.org/works/10.1016/j.istruc.2023.05.027",
    "abstractSource": "https://doi.org/10.1016/j.istruc.2023.05.027",
    "abstractSourcePage": 1
  },
  {
    "doi": "10.1016/j.istruc.2025.110484",
    "slug": "inverse-design-concrete-joints",
    "title": "Inverse design of concrete beam-column joints with complex cross-sections based on data-driven",
    "authors": [
      {
        "given": "Yijie",
        "family": "Cai"
      },
      {
        "given": "Tianyang",
        "family": "Zhang"
      },
      {
        "given": "Yujie",
        "family": "Lu"
      },
      {
        "given": "Weizhi",
        "family": "Xu"
      },
      {
        "given": "Shuguang",
        "family": "Wang"
      },
      {
        "given": "Dongsheng",
        "family": "Du"
      }
    ],
    "journal": "Structures",
    "year": 2025,
    "publicationDateParts": [
      2025,
      12
    ],
    "volume": "82",
    "issue": "",
    "pages": "110484",
    "articleNumber": "110484",
    "abstract": "Drawing Inspiration from generative artificial intelligence, this study proposes an inverse design methodology for beam-column joints based on the Denoising Diffusion Probabilistic Model (DDPM). Unlike conventional forward design approaches, the proposed method enables the direct generation of structural cross-sections from prescribed mechanical performance, represented by target skeleton curves. The DDPM is trained to learn the conditional distribution of feasible joint geometries given a specific input curve, effectively inverting the typically implicit structure-property relationship. To ensure adequate training data, 70,000 samples were generated based on the MNIST dataset, with 60,000 allocated for training and 10,000 for testing. The DDPM learns the conditional distribution of beam-column joints given a specific skeleton curve, thereby effectively mapping performance requirements to sectional design parameters. Numerical simulations demonstrate that the DDPM can generate a variety of beam-column sections based on prescribed mechanical performance and can even produce accurate joint sections for skeleton curves not present in the training dataset. The quantitative structural simulation results indicate that 98.3 % of the generated cross-sections have mechanical behavior with a mean error controlled within 10 % of the target curve. This indicates the effectiveness and accuracy of the DDPM in generating beam-column sections that meet desired performance criteria. The proposed inverse design framework highlights the potential of DDPM for intelligent structural design. Future work will explore extending this approach to achieve the inverse design of entire structures.",
    "metadataSource": "https://api.crossref.org/works/10.1016/j.istruc.2025.110484",
    "abstractSource": "https://doi.org/10.1016/j.istruc.2025.110484",
    "abstractSourcePage": 1
  },
  {
    "doi": "10.1016/j.tws.2024.111721",
    "slug": "staged-energy-dissipation-device",
    "title": "Experimental and numerical investigations of a staged energy dissipation device",
    "authors": [
      {
        "given": "Weizhi",
        "family": "Xu"
      },
      {
        "given": "Yijie",
        "family": "Cai"
      },
      {
        "given": "Tianyang",
        "family": "Zhang"
      },
      {
        "given": "Shuguang",
        "family": "Wang"
      },
      {
        "given": "Dongsheng",
        "family": "Du"
      },
      {
        "given": "Li",
        "family": "Wan"
      }
    ],
    "journal": "Thin-Walled Structures",
    "year": 2024,
    "publicationDateParts": [
      2024,
      5
    ],
    "volume": "198",
    "issue": "",
    "pages": "111721",
    "articleNumber": "111721",
    "abstract": "Energy-dissipating devices (EDDs) are widely used in building structures to mitigate seismic disasters. This study designed a fully assembled friction-metal series damper which is one kind of the staged energy dissipation devices (SEDD). Quasi-static tests were conducted to examine the behaviour of the SEDDs. The influence of factors such as the configurations of the restrainers, pre-tightening force, and material of the metal strip module was investigated. The work behaviour of the SEDD consists of three stages: elastic, frictional energy dissipation, and metallic elastic–plastic energy dissipation stages. The experimental results verified the effectiveness of the predicted working mechanism and showed that the bearing capacity and energy dissipation of the SEDD increased with the configuration of the restrainers, pre-tightening force, and yield strength of the metal strip module. The experiment also showed that the rotation of the outer plates caused an unexpected force mode in the metal strip module. Subsequently, numerical models of the test specimens were built, and good agreement was observed between the numerical simulations and test results for the hysteresis performance, loading capacity, and stress distribution. To further improve the mechanical properties of the SEDD, an optimised model was established and studied. The SEDDs with optimised strip shapes and constraint conditions of the outer plate exhibited better mechanical performance, and their load capacities increased by 11 % and 41 %, respectively.",
    "metadataSource": "https://api.crossref.org/works/10.1016/j.tws.2024.111721",
    "abstractSource": "https://doi.org/10.1016/j.tws.2024.111721",
    "abstractSourcePage": 1
  },
  {
    "doi": "10.1016/j.istruc.2025.108746",
    "slug": "wind-turbine-viscous-inertial-mass",
    "title": "Dynamic behavior of wind turbine with viscous inertial mass system under wind and seismic excitations",
    "authors": [
      {
        "given": "Yijie",
        "family": "Cai"
      },
      {
        "given": "Xia",
        "family": "Li"
      },
      {
        "given": "Tianyang",
        "family": "Zhang"
      },
      {
        "given": "Weizhi",
        "family": "Xu"
      },
      {
        "given": "Shuguang",
        "family": "Wang"
      },
      {
        "given": "Dongsheng",
        "family": "Du"
      }
    ],
    "journal": "Structures",
    "year": 2025,
    "publicationDateParts": [
      2025,
      5
    ],
    "volume": "75",
    "issue": "",
    "pages": "108746",
    "articleNumber": "108746",
    "abstract": "In recent years, tuned mass dampers (TMDs) have been used for the vibration control of wind turbines. To improve the vibration control effect of a TMD, novel vibration control systems have been developed by adding an inertial element. These novel vibration control systems can be classified into untuned and tuned viscous inertial mass systems (VIMS and TVIMS, respectively). In this study, the optimal parameters of each system in a single-degree-of-freedom system were determined by performing a frequency domain analysis. Numerical models of a 2.2 MW wind turbine with a TMD, VIMS and TVIMS were developed. The numerical models included theoretical models of a TMD, VIMS, and TVIMS, and used their optimal design parameters with a mass ratio of 2 %. Each model was validated by comparing its frequency information with that of an actual structure. Dynamic analysis of each structure was performed to obtain the structural responses under wind, seismic, and wind-seismic coupling loads. The advantages of the different vibration control systems were evaluated by comparing the responses of the vertices and the space required for each system. The VIMS can reduce the spring elongation by an average of 33.21 %, with a maximum reduction of 39.42 %. However, the VIMS was not as effective in controlling the structural displacement response as the TMD, with an average displacement response of only 4.99 %. The TVIMS improved the displacement response control effect by at least 21.83 %; however, the spring elongation was needed to be increased by at least 26.82 %. Its excellent control effect is attributed to large deformation of the spring element.",
    "metadataSource": "https://api.crossref.org/works/10.1016/j.istruc.2025.108746",
    "abstractSource": "https://doi.org/10.1016/j.istruc.2025.108746",
    "abstractSourcePage": 1
  },
  {
    "doi": "10.1016/j.istruc.2024.106256",
    "slug": "metal-friction-hybrid-damper",
    "title": "Experimental and numerical study of a metal-friction hybrid damper",
    "authors": [
      {
        "given": "Weizhi",
        "family": "Xu"
      },
      {
        "given": "Yijie",
        "family": "Cai"
      },
      {
        "given": "Ye",
        "family": "Liu"
      },
      {
        "given": "Tianyang",
        "family": "Zhang"
      },
      {
        "given": "Yujie",
        "family": "Lu"
      }
    ],
    "journal": "Structures",
    "year": 2024,
    "publicationDateParts": [
      2024,
      4
    ],
    "volume": "62",
    "issue": "",
    "pages": "106256",
    "articleNumber": "106256",
    "abstract": "This paper describes the development and evaluation of a new type of metal-friction hybrid damper (MFHD). The MFHD consists of three key components: an elastoplastic module, a friction module, and a stop module. These components are arranged in a three-stage working mechanism, comprising a friction stage, a coupled stage and a residual stage. The seismic performance of the MFHD was investigated through quasistatic tests on eight specimens. The study discusses the effect of segment length, diameter, and slipping displacement on the mechanical performance of the damper. Increasing the segment diameter by 15% improved the stiffness by 23.4% and the energy dissipation capacity (CED) by 44.4%. However, increasing the segment length by 50% and 100% decreased the CED by 6.4% and 56.7%, respectively. Furthermore, adding a slipping displacement of 3 mm to the specimen increased the energy dissipation capacity by 324.9%. Detailed numerical models were established and validated against the experimental results. The accuracy of the models in predicting the multiwave and fracture location of the member provided a valuable tool for further analysis and optimization. Subsequently, the model was utilized to investigate the effects of the friction force and the gap between the outer tube and inner core on the seismic performance of the MFHD. The study demonstrates that friction force could enhance the bearing capacity of the MFHD, while an increase in the gap had an adverse impact on its mechanical properties under compression.",
    "metadataSource": "https://api.crossref.org/works/10.1016/j.istruc.2024.106256",
    "abstractSource": "https://doi.org/10.1016/j.istruc.2024.106256",
    "abstractSourcePage": 1
  },
  {
    "doi": "10.1016/j.istruc.2024.107364",
    "slug": "fiber-recycled-aggregate-concrete",
    "title": "Mechanical properties and constitutive relation of recycled aggregate concrete reinforced with face mask fibre and basalt fibre under uniaxial cyclic compression",
    "authors": [
      {
        "given": "Weizhi",
        "family": "Xu"
      },
      {
        "given": "Chen",
        "family": "Tan"
      },
      {
        "given": "Wenbin",
        "family": "Xu"
      },
      {
        "given": "Tianyang",
        "family": "Zhang"
      },
      {
        "given": "Beibei",
        "family": "Xiong"
      },
      {
        "given": "Shuguang",
        "family": "Wang"
      },
      {
        "given": "Dongsheng",
        "family": "Du"
      }
    ],
    "journal": "Structures",
    "year": 2024,
    "publicationDateParts": [
      2024,
      11
    ],
    "volume": "69",
    "issue": "",
    "pages": "107364",
    "articleNumber": "107364",
    "abstract": "The utilisation of recycled aggregate concrete (RAC) is an important measure to eliminate construction and demolition waste. However, the presence of new and old interface transition zones leads to poor compressive properties. To address this issue, this paper proposes the incorporation of waste disposable medical face mask (DMFM) fibre and basalt fibre (BF) into RAC to improve its cyclic compressive properties. Eleven sets of specimens were designed for cyclic compression tests, considering different recycled coarse aggregate (RCA) replacement rates 0 %, 30 %, 50 %, 70 % and 100 %, different DMFM fibre contents including 0 %, 0.2 % and 0.4 %, as well as different BF contents including 0 %, 0.2 % and 0.4 %. Based on the measured cyclic stress-strain curves, the effects of the different parameters on concrete stiffness degradation and hysteretic energy dissipation were analysed. The test results showed that the RAC specimens reinforced with both DMFM fibre and BF (DBFRAC) had better cyclic compression performance. Moreover, the addition of hybrid fibres to recycled concrete specimens improved their ductility, delayed the rate of stiffness degradation, and increased their cumulative energy dissipation. Based on the test results, the power function can appropriately describe the dimensionless plastic strain and unloading strain curve, and the segmental function provides an accurate fit for dimensionless stress-strain envelope curve. Additionally, a constitutive model for the cyclic compression of DBFRAC at different contents of DMFM fibre and BF was determined by data fitting, which was in good agreement with the test results.",
    "metadataSource": "https://api.crossref.org/works/10.1016/j.istruc.2024.107364",
    "abstractSource": "https://doi.org/10.1016/j.istruc.2024.107364",
    "abstractSourcePage": 1
  }
]
