Journal of Infrastructure Intelligence and Resilience最新文献

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Defect-mode-induced energy localization/harvesting of a locally resonant phononic crystal plate: Analysis of line defects 局部共振声子晶体板的缺陷模式诱导能量局域化/收获:线缺陷分析

Journal of Infrastructure Intelligence and Resilience

Pub Date : 2022-09-01 DOI: 10.1016/j.iintel.2022.100001

Dong-Xing Cao , Sha-Sha Li , Chang-Hai Zhan , Yi-Ming Lu , Jia-Jia Mao , Siu-Kai Lai

Phononic crystals that are artificially engineered structures have recently been introduced for vibration energy harvesting and sensing applications due to their unique features of band gaps and wave propagation control. Conventional energy harvesters made of phononic crystals are mainly designed for acoustic energy harvesting at a high-frequency vibration source (i.e., kHz levels). In this work, a defect-mode-induced energy harvester is designed for low-frequency excitations in the range of 0–300 Hz. The entire system that is a locally resonant phononic crystal (LRPC) plate with line defect patterns is consisted of elastic-wrapped core scatterers periodically embedded in epoxy resin. A two-dimensional (2D) three-component unit cell structure is arranged on the plate and the band gap property is analyzed to optimize the geometric parameters. Defects are then introduced to the LRPC plate with a 7 × 7 point array for analysis. In addition, numerical and experimental studies are conducted to investigate the performance of energy harvesting when attaching a piezoelectric patch on the defect points. The results demonstrate that the proposed LRPC vibration energy harvester having a line defect mode (with continuous or alternate points) shows good performance in energy harvesting, in which a peak power output of 42.72 mV can be achieved under 10 m/s² and 252 Hz. The performance is almost 6 times more than that of the single-point defect model under the same excitation conditions. The present LRPC-type energy harvester with a line defect mode is more suitable for energy harvesting for low-frequency and broadband conditions.

声子晶体是一种人工工程结构，由于其独特的带隙和波传播控制特性，最近被引入到振动能量收集和传感应用中。传统的声子晶体能量采集器主要用于高频振动源(即千赫级)的声波能量采集。在这项工作中，设计了一种缺陷模式诱导能量收集器，用于0-300 Hz范围内的低频激励。整个系统是一个局部共振声子晶体(LRPC)板，具有线缺陷图案，由弹性包裹的核心散射体周期性嵌入环氧树脂中组成。在平板上布置二维(2D)三组分单晶胞结构，分析其带隙特性，优化几何参数。然后用7 × 7点阵列将缺陷引入LRPC板进行分析。此外，通过数值和实验研究了在缺陷点上附加压电片的能量收集性能。结果表明，采用线缺陷模式(连续点或交替点)的LRPC振动能量采集器具有良好的能量收集性能，在10 m/s2和252 Hz下可实现42.72 mV的峰值输出功率。在相同激励条件下，其性能几乎是单点缺陷模型的6倍。目前采用线路缺陷模式的lrpc型能量收集器更适合低频和宽带条件下的能量收集。

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引用次数: 2

A graphics-based digital twin framework for computer vision-based post-earthquake structural inspection and evaluation using unmanned aerial vehicles 基于图形的基于计算机视觉的无人机地震后结构检测与评估数字孪生框架

Journal of Infrastructure Intelligence and Resilience

Pub Date : 2022-09-01 DOI: 10.1016/j.iintel.2022.100003

Shuo Wang , Casey Rodgers , Guanghao Zhai , Thomas Ngare Matiki , Brian Welsh , Amirali Najafi , Jingjing Wang , Yasutaka Narazaki , Vedhus Hoskere , Billie F. Spencer Jr.

Rapid structural inspections and evaluations are critical after earthquakes. Computer vision-based methods have attracted the interest of researchers for their potential to be rapid, safe, and objective. To provide an end-to-end solution for computer vision-based post-earthquake inspection and evaluation of a specific as-built structure, the concepts of physics-based graphics model (PBGM) and digital twin (DT) are combined to develop a graphics-based digital twin (GBDT) framework. The GBDT framework comprises a finite element (FE) model and a computer graphics (CG) model whose state is informed by the FE analysis, representing the state of the structure before and after an earthquake. The CG model is first created making use of the FE model and the photographic survey of the structure, yielding the virtual counterpart of the as-built structure quickly and accurately. Then damage modelling approaches are proposed to predict the location and extent of structural and nonstructural damage under seismic loading, from which photographic representation of the predicted damage is realized in the CG model. The effectiveness of the GBDT framework is demonstrated using a five-story reinforced concrete benchmark building through the design and assessment of various UAV (Unmanned Aerial Vehicle) inspection trajectories for post-earthquake scenarios. The results demonstrate that the proposed GBDT framework has significant potential to enable rapid structural inspection and evaluation, ultimately leading to more efficient allocation of scarce resources in a post-earthquake setting.

地震后，快速的结构检查和评估是至关重要的。基于计算机视觉的方法因其快速、安全、客观的潜力而引起了研究人员的兴趣。为了提供基于计算机视觉的地震后检测和评估特定竣工结构的端到端解决方案，将基于物理的图形模型(PBGM)和数字孪生(DT)的概念结合起来，开发了基于图形的数字孪生(GBDT)框架。GBDT框架包括一个有限元(FE)模型和一个计算机图形(CG)模型，其状态由有限元分析告知，代表了地震前后结构的状态。首先利用有限元模型和结构的摄影测量创建CG模型，快速准确地生成实际结构的虚拟对应物。在此基础上，提出了预测地震作用下结构和非结构损伤的位置和程度的损伤建模方法，并在CG模型中实现了预测损伤的图像表示。通过设计和评估震后场景中各种无人机(UAV)检测轨迹，使用五层钢筋混凝土基准建筑验证了GBDT框架的有效性。结果表明，提出的GBDT框架具有实现快速结构检查和评估的巨大潜力，最终导致在地震后环境中更有效地分配稀缺资源。

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引用次数: 9

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